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Publisher: Universitas Ahmad Dahlan   (Total: 16 journals)   [Sort by number of followers]

Showing 1 - 16 of 16 Journals sorted alphabetically
Ahmad Dahlan J. of English Studies     Open Access   (Followers: 2)
Bahastra     Open Access  
Berkala Fisika Indonesia     Open Access  
Bulletin of Electrical Engineering and Informatics     Open Access   (Followers: 8)
HUMANITAS (Jurnal Psikologi Indonesia)     Open Access   (Followers: 4)
Intl. J. of Advances in Intelligent Informatics     Open Access   (Followers: 7)
J. of Education and Learning     Open Access   (Followers: 11)
Jurnal Hukum Novelty     Open Access  
Jurnal Ilmiah AdMathEdu     Open Access  
Jurnal Informatika     Open Access   (Followers: 1)
Kes Mas : Jurnal Fakultas Kesehatan Masyarakat     Open Access   (Followers: 2)
Media Farmasi     Open Access  
Pharmaciana     Open Access  
Psikopedagogia : Jurnal Bimbingan dan Konseling     Open Access   (Followers: 2)
Spektrum Industri : Jurnal Ilmiah Pengetahuan dan Penerapan Teknik Industri     Open Access  
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)     Open Access   (Followers: 8, SJR: 0.265, CiteScore: 1)
Journal Cover
TELKOMNIKA (Telecommunication, Computing, Electronics and Control)
Journal Prestige (SJR): 0.265
Citation Impact (citeScore): 1
Number of Followers: 8  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1693-6930 - ISSN (Online) 2302-9293
Published by Universitas Ahmad Dahlan Homepage  [16 journals]
  • Optimization a Scheduling Algorithm of CA in LTE Advanced system

    • Authors: Sarmad Khaleel Ibrahim, Nasser N Khamiss
      Abstract: Long Term Advancement Progressed (LTE-ADV) is the advancement of the long term evolution which created via 3GPP. LTE-ADVDV identified as International Mobile Telecommunications (IMT-Advanced) surpassed International Telecommunication Union (ITU prerequisites for 4 Generation (4G). This paper represents a study and an execution of carrier aggregation in LTE-ADV with a different scheduling algorithm are Proportional Fair, round robin, and my proposed algorithm and mapping model are Mutual Information Effective SINR Mapping (MIESM) and Exponential Effective SINR Mapping (EESM). The results show that throughput in my proposed algorithm with MIESM outperforms from others mapping and scheduling.
      PubDate: 2018-10-01
      DOI: 10.12928/telkomnika.v16i5.10054
      Issue No: Vol. 17, No. 1 (2018)
  • Electro Magnetic Characteristics Measurement of Organic Material Absorber

    • Authors: reza septiawan, Sardjono Trihatmo, Juliati Junde, Dody A. Winarto, Arief Rufiyanto, Erik Madyo Putro, Budi Sulistya, Arky Astasari
      Abstract:  Electro Magnetic Compatibility (EMC) Chamber requires high performance absorber material to assure the quality of EMC chamber related to Radio Frequency (RF) shielding effectiveness of the corresponding chamber. RF shielding effectiveness is measured following EN 50147-1 testing method. EMC laboratory of BPPT uses polyurethane absorber material which absorbs the carbon-neoprene mixture to maintain consistent RF performance over a broad frequency band, especially in the frequency range of CISPR 22 radiated emission test between 30 MHz to 6 GHz, limits in CISPR 22 (Information technology equipment – Radio disturbance characteristics – Limits and methods of measurement) [1]. This paper proposes alternative absorber materials based on organic materials: natural rubber, rice husk, and sawn wood crumbs. In the early phase of this research, the frequency under consideration are 900MHz and 1800MHz. These frequencies are mostly used by mobile phone devices, therefore at this phase the resulted organic material absorber may be used for alternative mobile phone casing before to be used as absorber material for EMC laboratory in a broader frequency band. The organic materials are produced by mixing them with cement, carbon, and resin. Free space testing method is used in the measurements
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9687
      Issue No: Vol. 17, No. 1 (2018)
  • Implementation Model Arcitecture Software Defined Network Using Raspberry
           Pi A Review Paper

    • Authors: Oki Marzuqi
      Abstract: In general, technology is used by everyone to facilitate all activities and needs. Software Defined Network created with different basic concept with traditional network. The separator between control and forwarding layer in different devices allows the adminstrator to customize the control plan. With the implementation of OpenFlow protocol on SDN, then there is an opportunity to apply a routing in the SDN network from source to destination. Different with traditional network, control and forwarding layer located in one infrastructure where is network administrator should arrange one by one device from different vendor to manage network.   Research using single board computers on network technology provides an opportunity to apply the network architecture model. Raspberry Pi has enough ability to implement SDN model. Therefore one of the problems that occur in traditional networks is difficulty to compiling a complex network to be managed easily in accordance with desire of the adminstrator. And to solve the problem, Network Defined Software method is used to make network management more centralized and efficient.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.8859
      Issue No: Vol. 17, No. 1 (2018)

    • Authors: Eva Novianti, Ahmad Nurul Fajar
      Abstract: This study aims to determine the feasibility of IT investment in hospitality and determine the value and tangible / intangible benefits from IT implementation. The scope of this research is information technology investment in 5 star hotel in Jakarta. The data were collected by distributing questionnaires to the research samples, are Grand Hyatt Hotel, Mandarin Oriental Hotel and Ayana Midplaza Hotel Jakarta. Data analysis uses the information economics (IE) approach that combines financially and non-financial calculations to determine the feasibility of IT investment and the benefits of IT for 5-star hotels in Jakarta. From the analysis result, it can be concluded that 5 star hotel in Jakarta is feasible to make IT investment with ROI score more than 1 and scorecard value 28 which shows that IT investment in 5 star hotel is quite beneficial for hotel business process.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.7247
      Issue No: Vol. 17, No. 1 (2018)
  • Solving University Course Timetabling Problem Using\\Reinforced
           Asynchronous Island Model Genetic Algorithm

    • Authors: Alfian Akbar Gozali, Shigeru Fujimura
      Abstract: The University Course Timetabling Problem (UCTP) is a scheduling problem in assigning lectures as time and room dimensions by taking the constraints of university stakeholders such as students, lecturers, and departments into consideration. The UCTP becomes even more complicated when it is made to meet a large student population which tends to increase significantly. A scalable and reliable timetabling algorithm is needed to overcome this problem. The Asynchronous Island Model Genetic Algorithm (AIMGA) is one of the scalable algorithms for the optimization problem. Previous researches have proven that AIMGA has succeeded in solving such a UCTP with good results. Despite its excellent performance, the AIMGA still has room for improvement. An island tends to be an idle one after it completed. An island with a higher computer specification can accomplish its process more quickly. It will thus be idle while waiting for the slower island to complete its process. This research introduces the Reinforced AIMGA to seize such an opportunity by optimizing the resource usage of the computer. Reinforced AIMGA will configure the slave that has completed its process of helping other machines that have yet to complete theirs. This research shows that Reinforced AIMGA not only improves time performance in the computational execution process, it also offers greater opportunity to escape the local optimum trap than the conventional AIMGA.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9691
      Issue No: Vol. 17, No. 1 (2018)
  • An Implementation of Fuzzy Rule-Based Classification Systems for the
           Gender Prediction from Handwriting

    • Authors: Lala Septem Riza, Aldi Zainafif, Rasim Rasim, Shah Nazir
      Abstract: The handwriting is an object that can describe information about the author implicitly. For example, it is able to predict the gender. Recently, the gender prediction based on handwriting becomes an interesting research. Even in 2013, an competition for prediction gender from handwriting has been held by Kaggle. So, in this study, we attempt to implement Fuzzy Rule-Based Classification Systems (FRBCSs) for gender predictions from handwriting. Three stages are conducted to achieve the objective, as follows: defining some features based on Graphology Techniques (e.g., pressure, height, and margin on writing), collecting real datasets, processing on digital images (i.e., image segmentation, projection profiles, and margin calculation, etc.), and implementing FRBCSs. The implemented algorithm based on FRBCSs in this research is Chi’s Algorithm, which is a method based on Fuzzy Logic for classification tasks. Moreover, some experiments and their analysis have been done to validate the proposed model. From the simulations, the classification rate obtained is 76%.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9478
      Issue No: Vol. 17, No. 1 (2018)
  • The Classification of Type Cell Blast On Acute Myeloid Leukemia (AML)
           Based on Image Morphology of White Blood Cell

    • Authors: wiharto wiharto, Esti Suryani, Yuda Rizki Putra
      Abstract: Acute Myeloid Leukemia is one type of cancer of the blood and spinal cord. AML has a number of subtypes including M0 and M1. Both subtypes are distinguished by the dominant blast cell type in the WBC, the myeloblast cells, promyelocyte and myelocyte. This makes the diagnosis process of leukemia subtype requires identification of blast cells in WBC. Automatic blast cell identification is widely developed but is constrained by lack of data availability, and uneven distribution for each type of blast cell. This makes the system developed has poor performance. This study aims to classify blast cell types in WBC identified AML-M0 and AML-M1. The method used is divided into two stages, first preprocessing, image segmentation and feature extraction. The second stage, perform resample, which is continued oversampling with SMOTE. The process is done until the amount of data obtained is relatively the same for each blast cell, then the process of elimination of data duplication, randomize, classification and performance measurement. The validation method used is k-fold cross-validation with k=10. Performance parameters used are sensitivity, specificity, accuracy and AUC. The average performance resulting from classification of cell types in AML with Random Forest algorithm obtained 82.9% sensitivity, 92.1% specificity, 89.6% accuracy and 87.5% AUC. These results indicate a significant improvement compared to the system model without using SMOTE. The performance generated by reference to the AUC value, the proposed system model belongs to either category, so it can be used for further stages of leukemia subtype AML-M0 and AML-M1.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.8666
      Issue No: Vol. 17, No. 1 (2018)
  • Statistical Tuning Chart for Mapping Porosity Thickness: A Case Study of
           Channel Sand Bodies in the Kutei Basin Reservoir

    • Authors: Abdul Haris
      Abstract: Reservoir assessment is not only controlled by the structural framework but also stratigraphical features. Stratigraphical interpretation, which is related to seismic amplitude interpretation, is used to describe petrophysical aspects of channel sand reservoirs such as net porosity and thickness. This paper aims to map the porosity thickness for a case study of channel sand bodies reservoir in the Kutei basin. The study area is complex channel reservoir system that appears to occupy specific area within the depositional system. The geometry of the sediment channel, which thins toward the channel margins, makes this feature similar to be wedge model that could possibly be influenced by tuning effects. The tuning effects introduce pitfall in interpreting high-quality reservoir that is affected by contrasts in acoustic impedance. In order to distinguish high amplitude responses caused by tuning effects and acoustic properties, the analysis of amplitude responses needs to be correlated to the reservoir thickness. The statistical tuning chart is one of the techniques used to correlate amplitude responses and the reservoir thickness. The application of this technique to real data sets shows net porosity thickness map over the targeted reservoir. Thus, high-quality reservoir characterization can be performed to delineate geometric framework of the reservoir. 
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9660
      Issue No: Vol. 17, No. 1 (2018)
  • The Design of Smart Notification on Android Gadget for Academic

    • Authors: Ahmad Sanmorino, Ricky Maulana Fajri
      Abstract: Through this article, we try to propose the design of smart notification system that runs on the Android operating system. This smart notification will be used for the academic announcement in the campus environment. The current announcement system only depends on the web portal, phones, groups in social media or short message system. The use of web portals and phones still has many limitations. This is the background for us to create a smart notification that runs on the Android operating system. Based on theoretical calculations, the smart notification system that we propose is more efficient in terms of time complexity and storage space requirements. In the end, this will cut the cost that stakeholders need to operate the academic announcement system in the campus environment. The design of smart notification system that we proposed in the future will be integrated with the academic information system. So that the process of synchronization becomes easier to do, of course, further research is still needed so that this smart notification system can run without problems.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.10245
      Issue No: Vol. 17, No. 1 (2018)
  • Assessing Students’ Continuance Intention (SCI) to Use Multimedia Online
           Learning: an extended Technology Acceptance Model

    • Authors: Akmal akmal akmal, Taqwa taqwa Hariguna
      Abstract: The study was aimed at assessing the students’ continuance intention (SCI) towards multimedia online English learning including its perceived usefulness (SPU), ease-of-use (SPE), and flow experience (SFE). The samples were 523 students who used online English learning resources and examined the content online learning resources as well as its multimedia aspects. The Extended Technology Acceptance Model (TAM) was used to predict the SCI. The results indicate that the students’ intentions are influenced positively by its perceived usefulness, ease-of-use, and its flow experience. Students’ Perceived usefulness (SPU) influenced more on students’ motivation than ease-of-use (SPE). It is recommended that designers of on-line English lessons should be more specific in determining target users. The on-line learners’ skill on ICT, pedagogical principles, and technological barrier in different region are among the determinant aspects for receiving more positive enduring intention.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.10328
      Issue No: Vol. 17, No. 1 (2018)
  • Secret Key Identification of AES,DES and BC3 Encryption Device using Power
           Analysis Attack

    • Authors: Septafiansyah Dwi Putra, Mario Yudhiprawira, Sarwono Sutikno, Yusuf Kurniawan, Adang Suwandi Ahmad
      Abstract: Cryptography is a science of creating a secret message and it is constantly developed. The development said consists of attacking and defending the cryptography itself. Power analysis is one of many Side-Channel Analysis (SCA) attack technique. Power analysis is an attacking technique that uses the information of a cryptographic hardware’s power consumption. Power analysis is carried on by utilising a side-channel information to a vulnerability in a cryptographic algorithm. Power analysis also uses a mathematical model to recover the secret key of the cryptographic device. This research uses design research methodology as a research framework started from research clarification to descrtptive study. In this research, power analysis attack is implemented to three symmetrical cryptographic algorithms: DES (Data Encryption Standard), AES (Advanced Encryption Standard), and BC3 (Block Cipher 3). The said attack has successfully recovered 100% of AES secret key by using 500 traces and 75% DES secret key by using 320 traces. The research concludes that power analysis attack using Pearson Correlation Coefficient (PCC) method produces more optimal result compared to difference of means method.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9384
      Issue No: Vol. 17, No. 1 (2018)
  • Image Forgery Detection Using Error Level Analysis And Deep Learning

    • Authors: idabagus kresna sudiatmika
      Abstract:  Many images are spread in the virtual world of social media. With the many editing software that allows so there is no doubt that many forgery image. By forensic the image using Error Level Analysis to find out the compression ratio between the original image and the fake image, because the original image compression and fake images are different. In addition to knowing whether the image is genuine or fake can analyze the metadata of the image, but the possibility of metadata can be changed. In this case the authors apply Deep Learning to recognize images of manipulations through dataset of fake image and original images via Error Level Analysis on each image and supporting parameters for error rate analysis.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.8976
      Issue No: Vol. 17, No. 1 (2018)
  • The Clustering Analysis of Learning Style on High School Student with
           Implementation Data Mining Method: k-Means and Fuzzy C-Means (Case Study:
           SMAN 1 Anggana)

    • Authors: Siti Lailiyah, Ekawati Yulsilviana, Reza Andrea
      Abstract: The inability of students to absorb the knowledge conveyed by the teacher is’nt caused by the inability of understanding and by the teacher which is’nt able to teach too, but because of the mismatch of learning styles between students and teachers, so that students feel uncomfortable in learning to a particular teacher. It also happens in senior high school (SMAN) 1 Anggana, so it is necessary to do this research, to analyze cluster (group) of student learning style by applying data mining method that is k-Means and Fuzzy C-means. The purpose was to know the effectiveness of this learning style cluster on the development of absorptive power and improving student achievement. The method used to cluster the learning style with data mining process starts from the data cleaning stage, data selection, data transformation, data mining, pattern evolution, and knowledge development.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9101
      Issue No: Vol. 17, No. 1 (2018)
  • Information Sharing System in Supply Chain With Pull System

    • Authors: Teguh Andriyanto, Ary Permatadeny Nevita
      Abstract: Uncertainty of goods inventory often triggers the occurrence of Bullwhip Effect, where there is accumulation of goods on a stage or lack of goods at another stage in the supply chain. Bullwhip Effect is caused by an error in ordering the amount of goods, error in the time of ordering or delivery of goods The problem can be solved using information sharing. Pull system inventory management in this research utilizing information sharing between two retailers and one distributors used for the ordering process of goods. That is done automatically based on sales data retailers. The order quantity is calculated based on the final stock and the maximum stock value of the goods. The automated purchasing order system uses applications ie php programming language, MySQL database, Nginx and Apache web server as well as Linux and Windows operating system.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9948
      Issue No: Vol. 17, No. 1 (2018)
  • Technology Acceptance Model to Test GO-JEK Acceptance in Salatiga

    • Authors: Dhea Arvie, Andeka Rocky Tanaamah
      Abstract: GO-JEK finally establishes its ride-hailing service area in Salatiga, which brings up negative reactions such as protests from conventional transportation drivers in front of Salatiga Mayor’s office. Despite the online and conventional drivers dispute, GO-JEK does not retreat from Salatiga and recruits even more drivers. GO-JEK still offers its ride-hailing service and the recruited drivers number keeps growing. This study aims to determine the factors that influence GO-JEK resilience. The data were obtained from field observation, revealing the rising number of drivers as the major factor of GO-JEK resilience in Salatiga. Later on, Technology Acceptance Model was used to disclose the factors that influenced the increasing number of recruited drivers, which contributes to GO-JEK continuity in Salatiga. The results uncover that GO-JEK acceptance in Salatiga among the drivers were not only affected by trends and environmental changes, but also technological supports, external policies, market shares, and market rivalry.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9634
      Issue No: Vol. 17, No. 1 (2018)
  • Speech Recognition Application for the Speech Impaired Using the
           Android-Based Google Cloud Speech API

    • Authors: Nenny Anggraini, Angga Kurniawan, Luh Kesuma Wardhani, Nashrul Hakiem
      Abstract: Those who are speech impaired suffer from abnormalities in their delivery (articulation) of the language as well their voice in normal speech, resulting in difficulty in communicating verbally within their environment. Therefore, an application is required that can help and facilitate conversations for communication. In this research, the authors have developed a speech recognition application that can recognise speech of the speech impaired, and can translate into text form with input in the form of sound detected on a smartphone. The Google Cloud Speech API integrates with Google Cloud Storage for data storage. Although research into speech recognition to text has been widely practiced, however as far as is known, no one has undertaken research to translate the speech of the speech impaired into text form, as well as perform a likelihood calculation to see the factor of tone, pronunciation, and speech speed in speech recognition. The test was conducted by mentioning the digits 1 through 10. The experimental results showed that the recognition rate for the speech impaired is about 80 %, while the recognition rate for normal speech is 100%. 
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9638
      Issue No: Vol. 17, No. 1 (2018)
  • The Readiness of Palm Oil Industry in Enterprise Resource Planning

    • Authors: Darius Antoni, Muhamad Akbar, Deni Fikari, Ferry Jie
      Abstract:  Information technology has been implementing in every industry including the palm oil industry as means to meet all demand of stakeholders. The palm oil industry is one of the sources of non-oil and gas foreign exchange of Indonesia. This study aims to examine the readiness of palm oil industry in the implementation of Enterprise Resources Planning (ERP). Not only has the ERP required a large cost, the ERP has requireda great resource. Thus, it should fit the needs of the industry. Using the Critical Success Factors (CSF) method, this study employs five dimensions of the ERP readiness, that is management, process, technology, data, and personnel. A survey research method is employed to acquire the data and there are 19 items for those five dimensions. 30 respondents are chosen as a sample fromfour oil palm companies that is located in Banyuasin and Musi Banyuasin regencies. A gap analysis is employed to analyse the data and this method is used to determinethe disparity between existing conditions and future expectations. Apart from the data dimension, the result reveals that the palm oil industry is well preparedto implement the ERP fromfour dimensions of management, technology, process and personnel
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9883
      Issue No: Vol. 17, No. 1 (2018)
  • Autonomous Collaborative Decentralised-Community Networks for Security-and
           Privacy-Critical Domains

    • Authors: Heerok Banerjee, Dr Vellappa Ganapathy, S Murugaanandam
      Abstract: A key factor limiting the democratisation of networked systems is lack of trust, particularly in the wake of data-intensive applications that work on sensitive private data which requires providing strong network security guarantees via encryption and authentication algorithms, as well as rethinking algorithms and application design to compute on the network peripheries without moving data. In many security- and privacy-critical domains such as Home Automation IoT networks the existence of a centralised privileged node leads to an easy vulnerability for leakage of sensitive information. In this paper, we proposed a decentralised community oriented network architecture that performs within the spectrum of network reliability and performance. In such decentralised schemes, dynamically adapting the network topology and employing distributed resource management is key to achieve efficiency while being robust against load variations and malicious agents. We also investigated the design and sustainability of fully autonomous networked systems by adopting machine learning techniques and evaluated the efficiency of the scheme with the help of extensive simulations tools. We used omnet++ to conduct the simulation and GNU octave to plot the results.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9621
      Issue No: Vol. 17, No. 1 (2018)
  • Integrated AHP and OMAX in Balanced Scorecard Dashboard Model for
           Performance Measurement Tools

    • Authors: Okfalisa Okfalisa
      Abstract: Measuring organizational performance is pivotal for comprehensive understanding of strengths, weaknesses and to improve the quality of any organization performance. Balanced Scorecard (BSC) is the strategic evolution tool widely used to measure the organizational performances, and achievements from various aspects both financial and non-financial. In this research, BSC was not only a straight jacket concept, but also a high potential tool for measuring and managing tangible and accurate data through the application of several methods. This research weighted the variables of BSC based on significance values of Analytical Hierarchy Process (AHP) and Optimization of Measurement with Objective Matrix (OMAX) from the questionnaires. Moreover, recommendation analysis was given based on cause and effect analysis of variables and the achievement of Key Performance Indicators (KPIs).The flow of information, data, and performance measurement process were designed as Business Intelligence (BI) software development i.e. BI-MonevDash. The proposed Framework and software BI-MonevDash can be used as a new chosen tool for measuring and monitoring organization performance. Recommendations could facilitate the leaders in decision making to improve the organizational performance and reduce risks.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9648
      Issue No: Vol. 17, No. 1 (2018)
  • The Strategy of Enhancing Article Citation and H-Index on SINTA to Improve
           Tertiary Reputation

    • Authors: Untung Rahardja
      Abstract: Development of technology as it is today, most students or lecturers in education community write documents or articles digitally. However, there are still many obstacles when searching for a legitimate source of reference and to know whether it contains plagiarism or not. Until present, there are still many students and lecturers who seek references from sources that have not been valid and not yet trusted, but it is considered a fatal mistake for writing articles and also writing thesis or dissertation from untrusted resources. Therefore, Google Scholar system helps to alleviate this problem. Google also facilitates the use of citations or references. The purpose of this research is to identify the number of citation H-Index owned by lecturers at tertiary education and  score ranking achieved at tertiary education SINTA (Science and Technology Index) Ristekdikti. Citing an article from another publication is one form of scientific communication by the author or researcher. The large number of citations obtained from an article published in the publication indicates how significant the contributions of the author in improving the quality of the study field. In this study, citation analysis is used as an analysis of all citations which indicate the type of information sources used by students and lecturers in writing the journal as a result of their research. The following research use two methods of analysis: Mind Mapping methods and SWOT Analysis. 
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9761
      Issue No: Vol. 17, No. 1 (2018)
  • The Architecture Design For Multi-sensors Information Fusion Processor

    • Authors: Catherine Olivia Sereati, Arwin Datumaya Wahyudi Sumari, Trio Adiono, Adang Suwandi Ahmad
      Abstract: This paper discusses the design of the architecture of an information fusion processor. This processor emulates the way of human thinking, namely by drawing conclusions from the obtained collection of information. Architecture design for this processor is based on Knowledge Growing System (KGS) algorithm. KGS is a novelty in Artificial Intelligence field. Compared to other AI methods, KGS focuses on the observation of the process of the knowledge growth within human brain based on information received from the surrounding environment. By using KGS algorithm, this processor works by receiving inputs from a set of sensors and possible hypotheses obtained after the processing of the information. The processor generates a value which is called as Degree of Certainty (DoC), which show the most possible hypothesis among all alternative ones. The Processor Elements which are used to perform KGS algorithm is designed based on systolic array architecture. The design of this processor is realized with VHSIC Hardware Design Language (VHDL) and synthesized by using FPGA Quartus II.13.1. The results show that the data path which has been design is able to perform the mechanism of KGS computation. Our works is a part of steps in developing a Cognitive processor system.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.10180
      Issue No: Vol. 17, No. 1 (2018)
  • Radial Derivative And Radial Inversion For Interpreting 4D Gravity Anomaly
           Due To Fluids Injection Arround Reservoir

    • Authors: Muhammad Zuhdi, Sismanto Sismanto, Ari Setiawan, Jarot Setyowiyoto, Adi Susilo, Muhammad Sarkowi
      Abstract: This Radial derivative and Radial inversion have been performed at this part of 1000m x 1000m of the X oil field. The yield show that in the period of January to May the maximum 4D gravity anomaly due to injection of injected well P is 0.24 mGal and minimum 0.02 mGal. While the period of January to May, the maximum value reach 0.36 micro Gal and minimum value of 0.03 micro Gal. Maximum radial derivative in the area is 0,012 mGal/meter and the minimum value of 0 micro Gal/cm. Radial derivative and Radial inversion has been proven fairly good to identify density contrast due to fluid injection in reservoir. Reservoir model due to fluid injection as a result of radial inversion has maximum radius of 1120 meter and the minimum radius of 304 meter. The use of radial derivative and radial inversion methods is not only limited to 4D anomaly but also applicable to regular 3D gravity anomalies. If 4D or 3D gravity measurements have been taken before the application of the radial derivative method does not require re-measurement. In other words, this method is a new software to review the gravity data analysis that may have been conducted before.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9468
      Issue No: Vol. 17, No. 1 (2018)
  • Electromagnetic Interference Shielding in Unmanned Aerial Vehicle for
           Lightning Strike

    • Authors: Diah Permata
      Abstract:  Electromagnetic interference (EMI) due to lightning strike in Unmanned Aerial Vehicle (UAV) became a critical issue, since it could cause a severe damaged to electronic equipment which was installed in UAV. This paper proposed a method to shield EMI by covering body of aircraft with extended Aluminium foil with thickness less than 0.15 mm. It acted as a Faraday cage. A lightning impulse-voltage standard generated by generator impulse was supplied to the high voltage (HV) electrode at a particular distance from UAV. An induced-voltage inside the compartment of UAV fuselage was measure by electrostatic field meter during flashover between the HV electrode and UAV, which simulated the lightning strike. The result shown the highest voltage was 60V when 80kV impulse voltage supplied to the electrode with striking area on fuselage. The measured voltage was far below the insulation level of low voltage equipment containing electronic circuits. The shielding method was successfully reduced the effect of EMI.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9029
      Issue No: Vol. 17, No. 1 (2018)

    • Authors: Didik Notosudjono
      Abstract: Fire is an oxidation reaction of the three elements (fuel, oxygen, heat) that can result in loss of property, injury, even death. Electricity potential that may results on fire is the short circuit current that occurs on the equipments and electrical installation cables. The remaining wires at the first fire location are subject to fire damage and can cause electrical short circuit. The purpose of this study is to analyze the short-circuit electrical deformation of copper cable using SEM EDS and MICRO XRF instrument.Based on the study result, there is a dominant change of oxygen elements in single cable and fiber sample causing fire that is 35,96% and 21,24%, those values are higher than Oxygen on a burned short circuited cable that is 19,54% and 12,1%. The microstructure of the cable that causes fire looks like irregular clumps whereas the burned cable looks like a clump of clumps.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.10116
      Issue No: Vol. 17, No. 1 (2018)
  • Coordination of Blade Pitch Controller and BES using Firefly Algorithm for
           Frequency Stabilization in Wind Power System

    • Authors: Teguh Aryo Nugroho, Rahmat Septian Wijanarko, Herlambang Setiadi
      Abstract: The application of renewable energy sources (RESs) to generated electricity is increasing significantly in recent years due to global warming situation all over the world. Among RESs type, wind energy is becoming more favorable due to the sustainable and environmentally friendly characteristic. Although wind power system provides a promising solution to prevent the global warming, they also contribute instability on the power system, especially in frequency stability due to uncertainty characteristic of the sources (wind speed). Hence, this paper proposed a method to increase frequency stability of wind power system by coordinated controller between blade pitch controller and battery energy storage (BES) system. To achieve the best coordination, firefly algorithm is used as the optimization method. From the simulation result, it is found that the proposed method can enhance the frequency performance of the wind power system due to wind speed variation.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9162
      Issue No: Vol. 17, No. 1 (2018)
  • Particle Filter with Integrated Multiple Features for Object Detection and

    • Authors: Muhammad Attamimi, Takayuki Nagai, Djoko Purwanto
      Abstract: Considering objects in the environments (or scenes), object detection is the first task needed to be accomplished to recognize those objects. There are two problems need to be considered in object detection. First, a single feature based object detection is difficult regarding the types of the objects and the scenes. For example, object detection based on color information will fail in the dark place. The second problem is the object’s pose in the scene that is arbitrary in general. In this paper, we aim to tackle such problems to enable the object detection and tracking of various types of objects in the various scenes. Therefore, we propose a method for object detection and tracking by using a particle filter combining with the integrated multiple features (that are color, texture, and depth information). To validate the proposed method, we have conducted experiments. The results revealed that the proposed method outperformed the previous method, which is based only on color information.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.9466
      Issue No: Vol. 17, No. 1 (2018)
  • Inclined Image Recognition for Aerial Mapping Using Deep Learning and Tree
           Based Models

    • Authors: Muhammad Attamimi, Ronny Mardiyanto, Astria Nur Irfansyah
      Abstract: Aerial mapping is an image registration problem, where the quality of the output is strongly influenced by the quality of input. Therefore, selecting the quality of input images becomes important and one of the challenging task in aerial mapping because the ground truth in the mapping process is not given before the UAV flies. To address these issues, we need a system that is able to recognize the “inclined images” that are not suitable for the registration process. Our interest here is to recognize these inclined images without the use of additional sensors in order to mimic how humans perform this task visually. To realize that, we utilize a deep learning method with the combination of tree-based models to build an inclined image recognition system. We have validated the proposed system and the results showed that our proposed system yielded an improvement of accuracy rate up to 3%.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.10157
      Issue No: Vol. 17, No. 1 (2018)
  • Real-time Systems for Monitoring and Warning on Water Urban River

    • Authors: Sabam Parjuangan
      Abstract: This paper discusses pH monitor, turbidity and water level in rivers on urban areas. This system uses three sensors, such as pH, turbidity, and ultrasonic sensors. The main component of this system a microcontroller as a local processing. Sensor reading information as a quality and water levels monitor was communicated to the end-users via short message service (sms) and web pages. This system is real-time, meaning the time of sensor reading and the transmission of information to the end-users is almost the same time. As a result, the system able to monitor the pH, turbidity, and water levels accurately 100%. While information is received by the end-users more real-time via sms than web pages. The comparison is 9.8% web pages versus 0.63% sms for ultrasonic sensors, whereas for tubidity sensors found 1.38% versus 1.21%, and pH sensors have a ratio of 4.8% versus 0.68%.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.10397
      Issue No: Vol. 17, No. 1 (2018)
  • Transfer Function and Stabilizability of Non-Autonomous Riesz-spectral

    • Authors: Sutrima Sutrima
      Abstract: In our previous paper, we have analyzed an approximate controllability and observability of the non-autonomous Riesz-spectral systems including the non-autonomous Sturm-Liouville systems. In this paper, as a continuation of our works, we concern on the analysis of transfer function, stabilizability, and detectability
      of the non-autonomous Riesz-spectral systems. A strongly continuous quasi semigroup approach is implemented. The results show that concepts of the transfer function, stabilizability, and detectability can be established comprehensively in the non-autonomous Riesz-spectral systems. These results are parallel with infinite dimensional of autonomous systems.
      PubDate: 2018-08-17
      DOI: 10.12928/telkomnika.v17i1.10112
      Issue No: Vol. 17, No. 1 (2018)
  • Secure Code Generation for Multi-Level Mutual Authentication

    • Authors: Gregor Alexander Aramice
      Abstract: Any secured system requires one or more logging policies to make that system safe. Static passwords alone cannot be furthermore enough for securing systems, even with strong passwords illegal intrusions occur or it suffers the risk of forgotten. Authentication using many levels (factors) might complicate the steps when intruders try to reach system resources. Any person to be authorized for logging-in a secured system must provide some predefined data or present some entities that identify his/her authority. Predefined information between the client and the system help to get more secure level of logging-in. In this paper, the user that aims to log-in to a secured system must provide a recognized RFID card with a mobile number, which is available in the secured systems database, then the secured system with a simple algorithm generates a One-Time Password that is sent via GSM Arduino compatible shield to the user announcing him/her as an authorized person.
      PubDate: 2018-08-14
      DOI: 10.12928/telkomnika.v17i1.10437
      Issue No: Vol. 17, No. 1 (2018)
  • AHP-TOPSIS for Analyze Job Performance with Factor Evaluation System and
           Process Mining

    • Authors: Gabriel Sophia, Riyanarto Sarno
      Abstract: Job performance is a combination of ability, effort and opportunity that can be judged based on work of employee.This research using  Factor Evaluation System method to analyze the job performance because this is one of popular method. FES has nine factor to analyze the employee, but the reality just nine factor is not enough. So we use process mining to improved the FES. Process mining help analysis of job performance becomes more details. In process mining there are event that has history of time stamp, case, activity, and resources of employee. So this method can be used continuously if we add weight for each factor. The weight are get from the Analytic Hierarchy Process-Technique for Order Preference by Similitary to Ideal Solution. The result show that AHP-TOPSIS is not compatible to use in this case when compared with the real work.
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10408
      Issue No: Vol. 17, No. 1 (2018)
  • Proposed Model for Interference Estimation in Code Division Multiple

    • Authors: Dalal Kanaan Taher, Adheed Hassan Sallomi
      Abstract: Cellular CDMA systems are usually affected by interference experienced by users in adjacent cells that decrease the Quality of Services in wireless communication network. Hence, interference is the limiting factor of capacity in CDMA cellular and it is one of the problems fighting against the high efficiency of any mobile network. In this paper, a mathematical model to estimate the average number of users contributing in inter-cell interference at the busy hours of CDMA network is proposed.  As the power exponent value has significant effect on interferer signal attenuation and hence other-cells interference, measurements were carried through a drive test to determine the received power level at various distance from CDMA base stations at Baghdad. The results obtained show that the power exponent was 2.8. This value was applied in dual-slop path loss model to determine the expected interference factor, and the number of users that can be hold at each cell. Simulations showed that users at a boundary cell generate more interference than those close to the base station. Furthermore, it was denoted that greater number of users caused to increase the interference factor, and greater power exponent value result in interference factor reduction.
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10330
      Issue No: Vol. 17, No. 1 (2018)
  • The Application of Haar Wavelet and Backpropagation For Diabetic
           Retinopathy Classification Based on Eye Retina Image

      Abstract: Diabetic Retinopathy is a disease that attacks eyes retina and can cause blindness. The severity of Diabetic Retinopathy consists of four; they are; normal, Diabetic Retinopathy Non-proliferative, Diabetic Retinopathy Proliferative, and Macular edema. In this research, Diabetic Retinopathy can be grouped by combining haar wavelet method and backpropagation. The number of data used were 612 images. The images size 2304x1536, 2240x1536 and 1440x960. The feature extraction of digital image used was haar wavelet at red image, green, and blue at level 1 and level 4 at subband LL and grouping with backpropagation with learning rate 0,1; 0,01 dan 0,001; the division percentage of training data and test data were 70:30, 80:20, 90:10 and 95:5, the value of MSE used was 10-6, epoch maximum 100.000 iteration. The results of this research is the highest test accuracy obtained is 56,25% with image size 2440x1448, haar level 4th and the percentage of comparative training data and test data 95:5, Learning rate 0,1;0,01 and 0,001. Thereby, haar wavelet algorithm cannot identify the feature of diabetic retinopathy and the decomposition process will eliminate much information from diabetic retinopathy.
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10350
      Issue No: Vol. 17, No. 1 (2018)
  • Development of a Research Project Repository

    • Authors: Somefun T.E, Awosope C.O.A, Sika C
      Abstract: The advances of technology resulting in the proliferation of mobile devices have changed the way we live and have necessitated the restructuring of the educational system. This can be employed to aid student’s participation in research studies. This study aims at promoting- research in universities amongst students by giving them the opportunity to exercise their scholarly abilities, easy access to research projects carried out by other students, collaboration with other students with similar research inclinations as well as gain visibility before the school management or companies interested in granting scholarships to outstanding works. This project is implemented using JavaScript, HTML and CSS for the front-end; Node.js, a JavaScript framework for the back-end and MongoDB for the database. It is a web application that enables the students to upload their research works, view the research of others and collaborate with peers. This system has a high potential to enhance student participation in universities’ research studies.
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10452
      Issue No: Vol. 17, No. 1 (2018)
  • Security Vulnerabilities Related to Web-based Data

    • Authors: Mohammed Awad, Mohamad Ali, Maen Takruri, shereen ismail
      Abstract: In this digital era, organizations and industries are moving towards replacing websites with web applications for many obvious reasons. With this transition towards web-based applications, organizations and industries find themselves surrounded by several threats and vulnerabilities. One of the largest concerns is keeping their infrastructure safe from attacks and misuse. Web security entails applying a set of procedures and practices, by applying several security principles at various layers to protect web servers, web users, and their surrounding environment. In this paper, we will discuss several attacks that may affect web-based applications namely: SQL injection attacks, cookie poisoning, cross-site scripting, and buffer overflow. Additionally, we will discuss detection and prevention methods from such attacks.
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10484
      Issue No: Vol. 17, No. 1 (2018)
  • Evaluation of the Quality of an Image Encrytion Scheme

    • Authors: Osemwegie Omoruyi, Chinonso Okereke, Kennedy Okokpujie, Etinosa Noma-Osaghae, Samuel John
      Abstract: Encryption systems have been developed for image viewing applications using the Hill Cipher algorithm. This study aims to evaluate the image encryption quality of the Hill Cipher algorithm. Several traditional metrics are used to evaluate the quality of the encryption scheme. Three of such metrics have been selected for this study. These include the Colour Histogram, the Maximum Deviation (comparing the original image) and the Entropy Analysis of the encrypted image. Encryption quality results from all three schemes using a variety of images show that a plain Hill Cipher approach gives a good result for all kinds of images but is more suited for colour dense images.
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10488
      Issue No: Vol. 17, No. 1 (2018)
  • The Use of General Volatile MOS Gas Sensors in Discriminating Formalin

    • Authors: Arief Sudarmaji, Agus Margiwiyatno, Henry Fernando, Budi Gunawan, Shoufika Hilyana
      Abstract: This paper describes the use of Metal Oxide Semiconductor (MOS) gas sensors which are intrinsically designed to sense volatile compounds for measuring the vapor of formalin. We utilized 7 commercial MOS gas sensors (namely TGS2600, TGS2602, TGS2620, TGS813, MQ137, MQ135, and MQ5) to sense formalin in certain concentrations and their presence in meat. We built a static headspace system to measure the vapor of formalin. The sensor chamber is 540 cm3 box which made from 3 mm acrylic. The output of MOS (Sensitivity ratio) is acquired into computer using an Arduino-based interface. We tested 3 concentrations of formalin (10%, 20% and 30%) and their presence in meat. We found that individually each sensor provides proporsional response to formalin concentrations, and for their presence in meat as well. The Principle Component Analysis (PCA) method is used to show performance of the array MOS sensor in discriminating the formalin contents. The PCA result shows that by using two PCs (holding most 96% data), it can clearly distinguish the three formalin contents. However the array sensors just can discriminate clearly between meat containing formalin and those not. The success rate of discrimination the formalin contents in meat is 91.7%.
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10363
      Issue No: Vol. 17, No. 1 (2018)
  • A Novel High Secure Buffer based Physical Unclonable Functions (PUF’s)
           for Device Authentication

    • Authors: Sadulla Shaik, Anil Kumar Kurra, A. Surendar
      Abstract: This paper presents a novel high secure buffer based Physical Unclonable Functions (PUF’s) for device authentication design for better uniqueness and reliability at low supply voltages. This is typically demanded in emerging Internet of Things (IoT) applications with stringent energy constraints. PUF is fast growing technology which utilizes the statistical variability of the manufacture variations acts as a finger print to the each device. It can be widely used in security applications such as device authentication, key generation and Intellectual Property (IP) protection. Due to the simplicity and low cost arbiter delay based PUFs have been mostly used as a cryptographic key in IoT devices. As conventional arbiter PUFs are suffers from less uniqueness and reliability and suffers from modeling attacks. The proposed new buffer based arbiter PUF architecture reduces the complexity of design and improves the PUF metrics. a set of  Monte-Carlo simulation were applied for delay variability of the PUFs. Buffer based PUF has 1.1 times better mean value and 99.1% lesser standard deviation values than delay based PUF with 150 samples at VDD range from 0V to 1.8V.  It has been demonstrated that experimental results of proposed buffer based arbiter PUF shows the considerable improvement in the uniqueness and
      PubDate: 2018-08-11
      DOI: 10.12928/telkomnika.v17i1.10436
      Issue No: Vol. 17, No. 1 (2018)
  • Techno-economic Viability and Energy Conversion Analysis of RHES with Less

    • Authors: Mohammed Kdair Abd, Hadeel Nasrat Abdullah, Haishun Sun, Shijie Cheng
      Abstract: This article proposes a new strategy to find the optimal location, configuration and size of the Renewable (wind-photovoltaic-diesel-battery) Hybrid Energy Systems (RHES (off-grid)). This study has two steps: first, the proposal to a strategy based on a weather change to find the optimal location in Iraq using Hybrid Optimization Model for Electric-Renewables (HOMER) software. Second, the study will examine the influence of the techno-economic viability from side less weight and area on the optimal configuration/size of the RHES, which gives the maximum output power. A period of one-year for meteorological data for both solar radiation and wind speed has used.  Finally, simulation results indicated that the optimal location for this RHES is the AL Harithah location. The analysis has shown that RHES can supply 89% of the load demands by renewable-energy. It is also successful in reducing the area required for installation of the RHES about 28%.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8897
      Issue No: Vol. 17, No. 1 (2018)
  • A Two-Stages Microstrip Power Amplifier for WiMAX Applications

    • Authors: Rachakh Amine, El Abdellaoui Larbi, Jamal Zbitou, Errkik Ahmed, Tajmouati Abdelali, Latrach Mohamed
      Abstract: Amplification is one of the most basic and prevalent microwave analog circuit functions. Wherefore power amplifiers are the most important parts of electronic circuits. This is why the designing of power amplifiers is crucial in analog circuit designing. The intent of this work is to present an analysis and design of a microwave broadband power amplifier by using two stages topology. A two stages power amplifier using a distributed matching network for WiMAX applications is based on ATF-21170 (GaAs FET). The configuration aims to achieve high power gain amplifier with low return loss over a broad bandwidth. The proposed BPA is designed with a planar structure on an epoxy (FR4) substrate. The planar structure is also utilized for getting the good matching condition. The advanced design system (ADS) software is used for design, simulation, and optimization the proposed amplifier. The complete amplifier achieves an excellent power gain; is changed between 28.5 and 20dB with an output power of 12.45dBm at 1dB compression point. For the input reflection coefficient (S11) is varied between -20 and -42dB. While the output reflection coefficient (S22) is varied between -10 and - 49dB over the wide frequency band of 3.2-3.8GHz.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9338
      Issue No: Vol. 17, No. 1 (2018)
  • Performance of Cluster-based Cognitive Multihop Networks under Joint
           Impact of Hardware Noises and Non-identical Primary Co-channel

    • Authors: Pham Minh Nam, Tran Trung Duy, Phan Van Ca
      Abstract: In this paper, we evaluate outage probability (OP) of a cluster-based multi-hop protocol operating on an underlay cognitive radio (CR) mode. The primary network consists of multiple independent transmit/receive pairs, and the primary transmitters seriously cause co-channel interference (CCI) to the secondary receivers. To improve the outage performance for the secondary networks under joint impact of the CCI and hardware imperfection, the best relay selection at each hop is employed. Moreover, the destination is equipped with multiple antennas and uses selection combining (SC) technique to enhance the reliability of the data transmission at the last hop. For performance evaluation, we first derive an exact formula of OP for the primary network which is used to calculate the transmit power of the secondary transmitters. Next, an exact closed-form expression of the end-to-end OP for the secondary network is derived over Rayleigh fading channels. We then perform Monte-Carlo simulations to validate the derivations. The results present that the CCI caused by the primary operations significantly impacts on the outage performance of the secondary network.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9543
      Issue No: Vol. 17, No. 1 (2018)
  • Low-cost Quadrotor Hardware Design with PID Control System as Flight

    • Authors: Adnan Rafi Al Tahtawi, Maulana Yusuf
      Abstract: In designing an Unmanned Aerial Vehicle (UAV) such as quadrotor, sometimes an engineer should consider the required cost that is relatively expensive. As we know, quadrotor is one of robots that very usefull and has several advantages for human needs such as disaster area monitoring, air quality monitoring, area mapping, aerial photography, and surveillance. Thus, designing a rapid quadrotor with low-cost component and simple control system needs to be considered here. This paper presents design and implementation of a quadrotor using relatively low-cost components with Proportional Integral Derivative (PID) control system as its controller. The components used consist of microcontroller, Inertial Measurement Unit (IMU) sensor, Brushless Direct Current (BLDC) motor, Electronic Speed Control (ESC), remote control unit, battery, and frame. These components can be easily found in the electronic markets, especially in Indonesia. As an addition, this paper also describes PID control system as flight controller. A simple economic analysis is presented to clarify the cost in designing this quadrotor. Based on experimental testing result, the quadrotor able to fly stably with PID controller although there still overshoot at the attitude responses.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9529
      Issue No: Vol. 17, No. 1 (2018)
  • PTS Improvement through A Unique Grouped Mirror Image Method for PAPR
           Reduction in OFDM Signals

    • Authors: Mamta Bisht, Alok Joshi, Dinesh Bisht, Lalit Singh Garia
      Abstract: Nowadays, for latest wireless and telecommunications standards, a new modulation format is used known as Orthogonal Frequency Division Multiplexing (OFDM). This OFDM scheme is used in cellular telecom standards and in broadcast standards (e.g. 4G LTE and Digital Audio/Video Broadcast respectively). The basic idea behind the OFDM is the orthogonality which is present among subcarriers.  This leads simultaneous transmission on a lot of subcarriers in a tight frequency space without interference with each other. However, this process arises a major demerit of OFDM system known as high peak to average power ratio (PAPR) which increases the complexity of circuit and reduces the efficiency of RF amplifier. One of the most preferred techniques for PAPR reduction is Partial Transmit Sequence (PTS) due to easier implementation. Conventional PTS scheme requires the computation of optimal phase factors but this result to search out all feasible and allowable phase factors and this increases the computation of complex additions and multiplications exponentially as the number of sub-block increases. This paper proposed a scheme to reduce peak-to-average power ratio in OFDM signals using partial transmit sequence with grouping and mirror images methods which significantly reduces the computation complexity and simultaneously maintain same PAPR reduction performance over conventional PTS scheme. .
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8929
      Issue No: Vol. 17, No. 1 (2018)
  • RS Codes Downlink LTE System over LTE-MIMO Channel

    • Authors: Ghasan Ali Hussain, Lukman Audah
      Abstract: Future applications require a modern generation of mobile communication systems; long term evolution (LTE) is a candidate to achieve this modern generation. One important challenge in wireless communications, including LTE systems, is the suitable techniques of controlling errors that degrade system performance in transmission systems over multipath fading channels. Different forward Error correction (FEC) techniques are required to improve the robustness of transmission channels. In this research, Reed-Solomon (RS) codes were used with a downlink LTE system over a LTE-MIMO channel. This research contributes by combining RS with a LTE-MIMO channel to improve downlink LTE system performance. The results show that this clearly improves system performance and thus decreases Bit Error Rates (BER) compared with Convolutional and Turbo codes. Lastly, the results show extra improvements of downlink LTE system performance by increasing the number of antennas of the LTE-MIMO channel.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9177
      Issue No: Vol. 17, No. 1 (2018)
  • Joint Fixed Power Allocation and Partial Relay Selection Schemes for
           Cooperative NOMA

    • Authors: Thanh-Tien Do, Dinh-Thuan Do, Minh-Sang Van Nguyen
      Abstract: In the future wireless systems, Non-orthogonal multiple-access (NOMA) with partial relay selection scheme is considered as developing research topic. In this paper, dual-hop relaying systems is deployed for NOMA, in which the signals are communicated with the assistance of decodeand-forward (DF) scheme. This paper presents exact expressions for outage probability over independent Rayleigh fading channels, and two partial relay selection schemes are provided. Using analytical result and Monte-Carlo methof, we introduce forwarding strategy selection for fixed user allocation and exactness of derived formula is checked. The presented simulations confirm the the advantage of such proposed NOMA, and the effectiveness of the proposed forwarding strategy.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9812
      Issue No: Vol. 17, No. 1 (2018)
  • Exact Outage Performance Analysis of Amplify-and-Forward-Aware Cooperative

    • Authors: Dinh-Thuan Do, Tu-Trinh T. Nguyen
      Abstract: In this paper, new radio access scheme that combines Amplify-and-Forward (AF) relaying protocol and non-orthogonal multiple access (NOMA) system is introduced. In particular, different scenarios for fixed power allocation scheme is investigated. In addition, the outage probability of both weak and strong user is derived and provided in closed-form expressions. Such outage is investigated in high SNR scenario and comparison performance between these NOMA scenarios is introduced. Numerical simulations are offered to clarify the outage performance of the considered scheme if varying several parameters in the existing schemes, and to verify the derived formulas.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9823
      Issue No: Vol. 17, No. 1 (2018)
  • VGEEDDG: Virtual Grid-based Energy Efficient Data Gathering Framework
           Using Multiple UAVs in Deadline based WSN Applications

    • Authors: Alaa Taima Albu-Salih, Sayed Amin Hosseini Seno
      Abstract: In this paper, a new framework for energy efficient data collection with a deadline for wireless sensor networks using multiple Unmanned Aerial Vehicles (UAVs) is presented. We will try to provide a new data collection method by providing the optimal UAV deployment, minimum required time and the minimum number of UAVs in a given deadline time. In the proposed method, data collection will be done with minimal energy consumption of WSNs and also UAVs. Additionally, based on virtual grid topology and deadline time, we have obtained the optimal route used by the UAV to dynamically collect sensory data from WSN devices with minimal energy consumption. Then, in this paper, we mainly focus on the problem of providing energy efficient data gathering framework in deadline based WSN applications using multiple UAVs and a series of virtual grid points and refer to this as VGEEDDG. We first formalize the VGEEDDG problem into a mixed integer linear programming (MILP) to determine the optimal number of UAV, minimum travelled time for deploying multiple UAVs with the minimum energy consumption in a predetermined deadline time to collect buffer data from cluster heads and then we compare the performance of the proposed framework with two heuristics algorithms under various metrics. The results obtained in the simulation section show that the proposed framework is able to provide efficient data collection with satisfactory energy constraints and a deadline when dependent on the critical level of the application.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9851
      Issue No: Vol. 17, No. 1 (2018)
  • Real Audio Signal Under Different Fading Channels for OFDM Systems

    • Authors: Pratima manhas, M.K Soni
      Abstract: Orthogonal frequency division multiplexing (OFDM) is a bandwidth efficient technique .It is used in various wireless and wired application. OFDM can be model using real data audio signal under different fading channels. The proposed work modeled the OFDM system under different fading channels such as AWGN, Rayleigh and Rician .The performance of OFDM system is calculated in terms of Bit error ratio (BER).Simulink tool has been used to model OFDM system.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9908
      Issue No: Vol. 17, No. 1 (2018)
  • Signal Strength Against Quality of Experience on Video Transmission

    • Authors: Oki Teguh Karya
      Abstract: The quality of video content delivery over the internet gets more attention today. When many people use the internet to communicate with each other using video content. End-user satisfaction in a multimedia content delivery service over the internet will be a justification for the success level of the service itself. User satisfication research for technological service well known as Quality of Experience, in this study we want to conduct a video content delivery experiment using Skype video conference service running on Wireless LAN and then we measure the value of quality of experience parameter when signal strength varies based on change of distance between access points with client. Our experimental results show that variations in signal strength in the video transmission process affect the reduced frame received, and trigger freeze frames in the video transmission process, and we conclude that this decreases the level of end-user satisfaction
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9915
      Issue No: Vol. 17, No. 1 (2018)
  • Detection of Immovable Objects on Visually Impaired People Walking Aids

    • Authors: Abdurrasyid Abdurrasyid, Indrianto Indrianto, Rakhmat Arianto
      Abstract: One consequence of a visually impaired (blind) person is a lack of ability in the activities related to the orientation and mobility. In general, blind person uses a stick as a tool to know the objects that surround him/her and expertise and structured training are needed to use it. An attached camera will obtain an image of an object which then processed using template matching method to identify and trace the image of the object. After getting the image of the object, furthermore calculate and compare it with the data training. The output is produced in the form of sound that in accordance with the object. The expected result from this research is an implementation of the template matching method on silent object detection camera model as a tool for blind person which is able to recognize what object in front of him/her when he/she is walking
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9933
      Issue No: Vol. 17, No. 1 (2018)
  • Loss Quantization of Reflectarray Antenna Based on Organic Substrate

    • Authors: H. I Malik, M. Y Ismail, Sharmiza Adnan, S. R Masrol
      Abstract: This paper presents novel loss quantization of reflectarray elements based on organic substrate materials. Three differently composed substrate materials derived from recycled materials have been characterized for their dielectric properties using a broadband analysis technique. The materials show low dielectric permittivity values of 1.81, 1.62 and 1.84 for X – band frequency range. In order to estimate the reflection loss of for the three substrates a mathematical relation has been established using empirical data generated by computer simulated models. The reliability of the proposed model has been established by simulation and fabrication of unit reflectarray rectangular patch elements on three proposed substrate substrates. A broadband frequency response has been depicted by scattering parameter analysis of unit elements with 10% fractional bandwidth of 312, 340 and 207 MHz for RCP50, RCR75 and RNP50 substrate respectively.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9968
      Issue No: Vol. 17, No. 1 (2018)
  • An Energy Efficient Data Collection Framework Using Multiple UAVs in
           Deadline based WSN Applications

    • Authors: Alaa Albu Salih, Sayed-Amin Hosseini-Seno
      Abstract: In this article, a new framework for energy efficient data collecting with deadline for wireless sensor networks (WSN) by using mutiple UAVs is proposed. In this method, data of WSN nodes with minimuim energy are collected by providing optimal position and trajectory of UAVs and number of UAVs in a determined deadline. First, in order to minimize energy consumption of WSN nodes and determine positions of placing UAVs for receiving data from network nodes, we cluster nodes in distributed form and consider centers of these clusters as place of meeting UAV. Then, beginning and end virtual nodes are considered for controlling minimuim number of UAVs. In order to find optimal solution for this problem, first a mixed integer linear programming (MILP) mathematical model is presented, and then normalizing and putting weights on each part of objective function were done. Results obtained in simulation step show that presented model has optimal performance in providing position and optimal trajectory of UAV, WSN and UAV energy consumption and number of UAVs used.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10048
      Issue No: Vol. 17, No. 1 (2018)
  • Energy Efficient Resources Allocations for Wireless Communication System

    • Authors: Vinsensius Sigit Widhi, Arfianto Fahmi, Nachwan Mufti Adriansyah, Nur Andini
      Abstract: The energy consumption level of the telecommunication process has become a new consideration in resource management scheme. It is becoming a new parameter in resource management scheme besides throughput, spectral efficiency, and fairness. This work proposes power control scheme and user grouping method to keep the rational energy consumption level of resource management scheme. Inverse waterfilling power allocation is a power allocation scheme that optimize the energy efficiency by giving the power to user which have good channel conditions. The user grouping method becomes the solution for carrier aggregation (CA) scheme that prevent edge cell user get the resources from the high frequency carrier. This can prevent energy wastage in the transmission process. This power control scheme and user grouping method can optimize the spectral and energy efficiency without increasing the time complexity of the system.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10135
      Issue No: Vol. 17, No. 1 (2018)
  • Soil characterization and classification: A hybrid approach of computer
           vision and sensor network

    • Authors: Abrham Debasu Mengistu, Dagnachew Melesew Alemayehu
      Abstract: This paper presents the effects of transfer or activation function in digital based Ethiopian soil classification and moisture level prediction. In this study, the main objective is to test different transfer functions of BPNN (Back-propagation neural network) and find a suitable transfer function. BPNN has different areas application, but their convergences of the epoch of learning differs from the usage of transfer function. Logistic, Tanh (Hyperbolic tangent) and Gaussian transfer function of BPNN (Back-propagation neural network) were compared to choose an appropriate transfer function for Ethiopian soil classification and moisture level prediction. BPNN consists of 7 neurons in the input layer, 6 neurons in the output layer and 26 neurons in the hidden layer. The numbers of neurons in the hidden layer was picked by trial and error methods, if the network has trouble of learning capabilities, then neurons are added to this layer. Finally, from the experiment, Gaussian has a better performance than logistic and tanh transfer function.

      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8423
      Issue No: Vol. 17, No. 1 (2018)
  • Cellular-based Internet Gateway Device in Internet of Things

    • Authors: Eko Sakti Pramukantoro, Maxi Luckies, Fariz Andri Bakhtiar
      Abstract: The implementation of observation system in previous work meets a few challenges, i.e. sensor node and middleware which located on the intranet cannot forward data to IoT data storage in the cloud system. So, a device that has a capability to forward data from intranet to internet is needed.  In this paper, we propose an IGD based on cellular connection to collects data from middleware and forwards it to data storage on the cloud systems. Moreover, in experiment two scenarios are used to collect and forward data in the internet gateway system. The first scenario uses time span to subscribe and store temporarily before sending it to the data storage, while the second scenarios directly deliver subscribed data to data storage in real-time. The experiment shows that IGD can forward all topics from middleware with average throughput is 915.045 bps, but takes time to deliver all subscribed data. This IGD works well using directly delivering subscribed data.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10163
      Issue No: Vol. 17, No. 1 (2018)
  • A Low Cost GPS NTP Server For Time Synchronization

    • Authors: Heri Andrianto, Yohana Susanthi, Denny Suryadi
      Abstract: Time synchronization is required to maintain a precise clock. In this paper, a low-cost GPS NTP server has been realized using arduino, GPS receiver, and ethernet shield. The time data from GPS satellites is received by the GPS receiver. Arduino is converting the time data into NTP protocol and send it to the clients. The performance of low cost GPS NTP server compared with commercial GPS NTP server (TM1000A). The results showed that both low cost GPS NTP server and TM1000A has synchronization success rate of 100% with average offset time -8,69 ms for low cost GPS NTP server and -10,1538 ms for TM1000A. However, TM1000A have better performance compared with low cost GPS NTP server because TM1000A has a smaller offset time deviation area, which is between -8 ms to -12 ms while low cost GPS NTP server has larger offset time deviation area, which is -20 ms to +10 ms. With production costs of less than 29 USD, we offer cheap GPS NTP servers as an alternative NTP server for time synchronization on computer networks.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10198
      Issue No: Vol. 17, No. 1 (2018)
  • An Artificial Neural Network Approach for Detecting Skin Cancer

    • Authors: Sugiarti Sugiarti, Yuhandri Yuhandri, Jufriadif Na`am, Dolly Indra, Julius Santony
      Abstract: This study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases with classification of Multilayer Perceptron (MLP) neural network. The results showed that the accuracy of test image with 4 sets of training for image not suspected of melanoma and melanoma with the lowest accuracy of 80% and the highest accuracy of 88,88%, respectively.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9547
      Issue No: Vol. 17, No. 1 (2018)
  • New Framework for Information System Development on IM for Low Cost

    • Authors: I Made Sukarsa, I Ketut Gede Darma Putra, Nyoman Putra Sastra, Lie Jasa
      Abstract: The increasingly inexpensive Internet has spurred the growth of online information system services in various companies. Almost all services are available in forms on web or mobile applications. For small companies, implementation becomes more difficult because it requires a substantial cost that allocated for hosting, domain and server devices. The solution is to develop a framework for building information systems services through Instant Messaging (IM) such as telegram, line or xmpp/jabber. This proposed framework has the ability to transform existing information system services into chat services with RBAC role, session, validation and natural interaction using Indonesian-language conversations. The framework that consist of Initiate layers, business process and communication, memory group and OLTP DBMS The framework consists of layers of initiation, business processes and communication, group memory and OLTP DBMS will produce low-cost solution for the development of integrated information systems service
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8614
      Issue No: Vol. 17, No. 1 (2018)
  • Imperceptible and Secure Image Watermarking Using DCT and Random Spread

    • Authors: Eko Hari Rachmawanto, De Rosal Ignatius Moses Setiadi, Christy Atika Sari, Nova Rijati
      Abstract: Watermarking is a copyright protection technique, while cryptography is a message encoding technique. Imperceptibility, safety, and robustness are aspects that are often investigated in watermarking. Cryptography can be implemented to increase watermark security. Beaufort cipher is the algorithm proposed in this research to encrypt watermark. The new idea proposed in this research is the utilization of Beaufort key for watermark encryption process as well as for spread watermark when inserted as PN Sequence substitute with the aim to improve imperceptibility and security aspects. Where PN Sequence is widely used in spread spectrum watermarking technique. Based on the experimental results and testing of the proposed method proved that imperceptibility and watermark security are increased. Improved imperceptibility measured by PSNR rose by about 5dB and so did the MSE score better. Robustness aspect is also maintained which has been proven by the excellent value of NCC.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9227
      Issue No: Vol. 17, No. 1 (2018)
  • An Adaptive Swarm Optimization Technique for Load Balancing and Task
           Scheduling in Cloud Computing

    • Authors: Anitha Mahendra, C. Vidyaraj
      Abstract: In recent era of growing technology, cloud computing has attracted various industries and researchers due to it significant nature in parallel and distributed computing systems. This technology has grown drastically in various real-time applications such as medical field, health organizations, multi-media applications etc. cloud computing urge to offer the better quality of service for clients or users. However, increasing demand for application leads to the imbalance in cloud resources and causes huge power consumption in data centers. Generally, a huge number of tasks are given to the cloud platform which causes the imbalance in available resources. This resource imbalance leads to the poor Quality of Service for clients.  In this field, task scheduling is an important technique which is widely adopted in load balancing applications. Load balancing allocates task based on available resources for efficient computation and offers the performance improvement in various parameters such as computation time, scalability, makespan, throughput etc. However, various techniques have been proposed for task scheduling in cloud computing but these techniques still suffer from various issues such as makespan, execution time etc. To address this issue, we present an adaptive swarm optimization approach for heterogeneous virtual machine systems. During task execution in cloud computing, the task is removed from overloaded VM which is identified using proposed adaptive swarm optimization technique. An extensive simulation is performed along with comparative analysis. Experimental study shows that proposed approach outperforms when compared with the state-of-art technique for load balancing in cloud computing systems.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8628
      Issue No: Vol. 17, No. 1 (2018)
  • A Novel Color Image Compression Method Using the Adaptive Threshold

    • Authors: Walaa M. Abd-Elhafiez, Wajeb Gharibi
      Abstract: This paper proposes a new way of color image compression using adaptive computerized derivation of local thresholds. The algorithm is composed of three main steps where the image is categorized using edge detection and divided into n×n blocks. Then Discrete Cosine Transform (DCT) is applied on the partitioned image with quantized coefficients that ordered using adaptive block scanning and the weak coefficients are eliminated. Experimentalresults show improvement in compression ratio, bits per pixel and peak signal to noise ratio for the reconstructed image. The effective of compression ratio depending on the nature of the image file.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8632
      Issue No: Vol. 17, No. 1 (2018)
  • Analysis and Design of Feature Application Setting Dashboard on Svara
           Applications Using Ucd Method (User-Centred Design) at PT. Zamrud
           Khatulistiwa Technology

    • Authors: Muhammad Yusril Helmi Setyawan, Rolly Maulana Awangga, Rezka Afriyanti
      Abstract: SVARA application is a strategy developed by PT. Zamrud Khatulistiwa Technology. The backend side of the SVARA application is a vital part of a good reference by PT. Zamrud Khatulistiwa Technology. One of the features of the SVARA application dashboard is the application setting feature. Dashboard backend of SVARA application on App Settings feature is a dashboard that serves to manage the display of content and other basic settings. Currently, the dashboard on the SVARA application backend is still simple by taking the API with a regular PHP script. The design of this system is with UML modeling. The method used is the UCD (User Centered Design) method which will apply to the SVARA Dashboard Application Setting feature. In this research, the researcher produces the design of Application Setting feature and how the process of applying UCD Method on SVARA Application Setting feature dashboard.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8762
      Issue No: Vol. 17, No. 1 (2018)
  • The Development of Electronic Guided Bible Study Process Application with
           Biblical Recommendation System

    • Authors: Alexander Setiawan, Iwan Njoto Sandjaja, Agus Setiawan Kuswandi
      Abstract: With technological advancements, human needs can be fulfilled easily. The needs of communication, transportation, and even food can be fulfilled with the help of technology. From the Christian Worldviews, human has basic needs of knowing and having an intimate relationship with his Creator. However, technology isn’t yet used to its full potential to help the fulfillment of this necessity. Christians believe that the Bible is the Word of God which can give answers to the human’s basic needs. Therefore, the writer try to develop a Web Application to help Christians study and understand the Bible. The Application provides verse and information search features with relevant search principle using Elasticsearch. With that features, search results shown based on user needs. On the other hand, user can use application to do Bible Study and give Bible Study material recommendation to the user using Item-based Collaborative Filtering with Item Category Distance and Interestingness Measure algorithm. The testing results of the application shows that the features in this application are working properly and able to help the users to understand the Bible better.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8951
      Issue No: Vol. 17, No. 1 (2018)
  • Usability of BLESS-implemented Class Room: A case study of Mixtio

    • Authors: Desita Mustikaningrum, Raziv Herman Diputra, Astari Retnowardhani
      Abstract: Conventional learning system and e-learning have their own strengths and weaknesses. To combine both systems, blended learning is created. However, the researches on e-learning and blended learning focus more on e-content and technology application than on their learning process. Even, the development of blended learning system mostly based on intuition not on a particular framework. Faculty of Informatics Engineering at XYZ University use conventional learning method.  In the aim to improve the class’ usability then this study propose to apply BLESS into blended learning system design called Mixtio. BLESS (Blended Learning Systems Structure) is offered as framework which matches to learning and uses top-down approach. BLESS framework consist of five layers design, started from blended learning course, course scenarios, blended learning patterns, web template, and learning platform. In the end of this study it can be seen the implementation of BLESS can improve system usability of Mixtio.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8999
      Issue No: Vol. 17, No. 1 (2018)
  • Number Plate Recognition Letters Used Vehicle Area Feature Extraction

    • Authors: Fitri Damayanti, Sri Herawati, Imamah Imamah, Fifin Ayu M, Aeri Rachmad
      Abstract: The main principle of the character recognition of vehicle number plate is to recognize the character of the license plate of the vehicle which is the identity of the vehicle. One of the benefits of this research is the introduction of vehicle license plate characters to be implemented on automatic toll payments. With the shape of the vehicle number plate is divided into 2 lines and each line there is an object or character is a problem in the process of recognition. In this study the authors make different approaches in detection of vehicle license plate characters by utilizing the area and the ratio of the characters. K-Nearest Neighbor (KNN) is selected as a method of classification and feature area extraction as a method of extracting image feature values in the introduction of vehicle license plate characters. The best accuracy is 92.72% on 10x10 area features with K-1 and 89.36% on 20x20 area features with K-5. The system runs with relatively fast computing time.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9017
      Issue No: Vol. 17, No. 1 (2018)
  • Publication of SOP Using Semantic Networks on Personnel System: University
           of Singaperbangsa Karawang Case Study

    • Authors: Intan Purnamasari
      Abstract: Document Standard Operating Procedures (SOPs) can manage business processes as well as the performance of its employees within an organization. This study aims to develop the SOP knowledge management system that connected with the personal information system. The existence of SOP knowledge management system to make SOP documents can facilitate users in finding, accommodating, and managing the knowledge contained in SOP documents. Analysis of knowledge components in SOP documents is done using semantic network analysis. Also, with the integration with the staffing system allows users to receive the distribution of SOP documents in a digital form that can be accessed anytime easily. Implements system is done based on Extreme Programming method by using PHP programming language with CodeIgniter framework, Rest API, and MySQL database.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9107
      Issue No: Vol. 17, No. 1 (2018)
  • Pattern Capacity Participants Exam of mobile learning for Assessment

    • Authors: Heri Nurdiyanto, Herman Dwi Surjono, Priyanto Priyanto
      Abstract: The adaptive assessment system is expressed as an interactive approach to assessing the learner in the learning system. Stages undertaken in the development of this system include determination of bank questions, determination of the initial ability level of examinees, selection of items, assessments, termination of tests, and conclusions about the ability of examinees. Determining the initial ability level of examinees is very important because its accuracy dramatically affects the effectiveness of a selection of questions. Rule-based methods are used to extract information, rule-based methods combined with machine learning techniques are proposed to assess the level of ability of regular students and students with special needs. Machine learning techniques used are Naive Bayes, Multilayer Perceptron, SMO, Decision Tree, JRIP, and J48. The best accuracy results are achieved using the JRIP rule-based method of 64.12. The rules for the determination of the level of ability are formed based on expert opinion. The strength of examinees to vary and the amount of data evolving lies in need for dynamic formation of rules. The discovery of patterns in the test data of the participants can be used as the basis for the creation of states to replace the expert as well as improve the prediction accuracy. It is necessary to extract the pattern so that it can be used for the formation of the initial capability rules for examinees.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9144
      Issue No: Vol. 17, No. 1 (2018)
  • Cultivation Supervision System of Masson Pine Forests based on IOT

    • Authors: Xu Yunjie, Yang Junkai, Zhang Baijie
      Abstract: In the current ecological measurement of commonweal forest, there are many problems such as high intensity of operation and continuous measurement of environmental factors. In this paper, the technology of Internet of Things is applied to the automatic measurement of ecological cultivation of public-welfare forest, and the structure of automatic monitoring system of ecological cultivation based on Internet of things is put forward. Application implementation. According to the basic flow of the ecological cultivation of commonweal forest, the cultivation environment of the ecological cultivation link of the Pinus massoniana forest was analyzed. The environmental factors influencing the growth of trees in the Pinus massoniana forest were summarized and the best environment for the ecological cultivation was established. The preliminary experiments show that the system has the advantages of low power consumption, flexible networking, scalable and friendly human - machine interface, and can meet the application requirements of ecological cultivation information monitoring of Pinus massoniana forest.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9193
      Issue No: Vol. 17, No. 1 (2018)
  • Image de-nosing in underwater colored noise using discrete wavelet
           transform and pre-whitening filter

    • Authors: Mohanad Najm Abdulwahed
      Abstract: Image denoising and improvement are essential processes in many underwater applications. Various scientific studies, including marine science and territorial defence, require underwater exploration. When it occurs underwater, noise power spectral density is inconsistent within a certain range of frequency, and the noise autocorrelation function is not a delta function. Therefore, underwater noise is characterised as coloured noise. In this study, a novel image denoising technique is proposed using discrete wavelet transform with different basis functions and a whitening filter, which converts coloured noise characteristics to white noise prior to the denoising process. Results of the proposed method depend on the following performance measures: peak signal-to-noise ratio (PSNR) and mean squared error. The results of different wavelet bases, such as Debauchies, biorthogonal and symlet, indicate that the denoising process that uses a pre-whitening filter produces more prominent images and better PSNR values than other methods.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9236
      Issue No: Vol. 17, No. 1 (2018)
  • Ontology Design of Family Planning Field Officer for Family Planning
           Agency Using OWL and RDF

    • Authors: Rolly Maulana Awangga, Setiawan Assegaff, Syafrial Fachri Pane, Muhammad Firman Kahfi
      Abstract: Population density in Indonesia is ranked fourth in the world. The impact of a large population will affect the level of welfare of the community to decrease, and the number of unemployment is increasing so that the state makes Family Planning Program (PLKB) to control the rate of population growth. PLKB is a field officer program to socialize contraception, counseling and planning. Problems in the PLKB program are on knowledge management and mapping from data contraception, counseling and planning so that this research using Ontology method will aim to do mapping with knowledge management and Ontology design shows represented data to relate and mutually related and describes the resources contained in family planning data.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9237
      Issue No: Vol. 17, No. 1 (2018)
  • Design of Knowledge Management System in Public Section and Human
           Resources Case Study Amanah Karamah Education Foundation

    • Authors: Chairul Rizal
      Abstract: The appropriate KMS prototype to support the knowledge dissemination process among employees within the General and Human Resources Section of Karamah Amanah Education Foundation is highly expected by the employees due to their knowledge, documents, SOPs, regulations and experience within the General Section and Human Resources of Karamah Amanah Education Foundation not well documented making it difficult for employees in performing their duties during the transfer of employees. The employee's knowledge and experience will be lost along with the retirement, mutation or expiry of the employee's tenure. Currently most of the knowledge and experience used in everyday work is still stored on every employee, has not been poured into the document or system, so it depends on each employee. The methodology used in this study is a methodology developed by Fernandez. The results of this research are the priority of development of knowledge management process. Knowledge management processes that need to be developed in the General Section and Human Resources of Amanah Karamah Education Foundation are externalization, exchange, socialization for knowledge sharing, combination, socialization for knowledge discovery, internalization and routines.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9299
      Issue No: Vol. 17, No. 1 (2018)
  • Recognition Facial Expression of 3d Image-based Using Facial Action Coding
           System (FACS)

    • Authors: Hardianto Wibowo, Fachrunnisa Firdausi, Wildan Suharso, Dani Harmanto
      Abstract: Facial expression or mimic is one of the results of muscle motion on the face. In a large Indonesian dictionary, the expression is a disclosure or process of declaring, i.e. showing or expressing intentions, ideas of feelings and so on. Facial expression is affected by the cranial nerve VII or Nervus Facialis. In research conducted Paul Ekman got a standardization of expression in the format of a movement called the Facial Action Coding System (FACS). In his research, Paul Ekman said six basic expressions of happiness, sadness, shock, fear, anger, and disgust [5]. In muscle anatomy, that every moving muscle must be contraction, and in the event of contraction, the muscle will expand or swell [3]. Muscles are divided into three parts of origo and insersio as the tip of muscle and belli as the midpoint of the muscle, so any movement occurs then the muscle part belli will expand or swell. Data retrieval technique that is by recording data in 3D, any contraction occurs then the belli part of the muscle will swell and this data will be processed and compared. From this data processing will be obtained the maximum strength of contraction that will be used as a reference for the magnitude of expression made by the model. In the detection of expression is ecluidience distance by comparing the initial data with movement data. The result of this research is a detection of expression and the amount of expression that occurs.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9304
      Issue No: Vol. 17, No. 1 (2018)
  • Multi-Frame Super-Resolution: A Survey

    • Authors: Mahmoud Moustafa Khattab, Akram M. Zeki
      Abstract: One of the primary measurements of image quality is image resolution. High-resolution images are often required and desired for most of applications as they embody supplementary information. However, the best utilization of image sensors and optical technologies to increase the image pixel density is usually restrictive and overpriced. Therefore, the effective use of image processing techniques for acquiring a high-resolution image generated from low-resolution images is an inexpensive and powerful solution. This kind of image improvement is named image super-resolution. This paper undertakes to investigate the current super-resolution approaches adopted to generate a high-resolution image. Furthermore, it highlights the strengths and the limitations of these approaches. More to the point, several image quality metrics are discussed to measure the similarity between the reconstructed image and the original image.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9534
      Issue No: Vol. 17, No. 1 (2018)
  • Thermodynamic Performance and Wave Propagation Sensor System of Fiber
           Bragg Grating in Liquid Media

    • Authors: Romi Fadli Syahputra, Yunita Irliani Lubis, Mesra Sania, Saktioto Saktioto
      Abstract: Although the measurement of liquids temperature is commonly used by Fiber Bragg Grating (FBG) sensor but its thermodynamic performance has interesting phenomena. This paper proposes the measurement and simulation of liquids temperature using FBG. Laser diode was launched into human blood, water, and vegetable oil. The results showed that the increasing temperature changes led to the widening of the wave shift. The largest change of wavelength is water temperature and the smallest one is vegetable oil temperature. Increase in liquid temperature causes the output power is greater. FBG simulation of sine and square function are also designed for temperature range of 30°C to 41°C with matrix transfer method based on coupled mode theory. Peak value of transmission spectrum of each function is shown by the change of temperature which indicates the sensor is sensitive to sine and square function variations. The peak at temperature of 30°C for each sine and square is -78.32dB and -102.66dB and increased to 41°C at 46.72dB and -79.89dB, respectively.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9563
      Issue No: Vol. 17, No. 1 (2018)
  • An Improved Security and Message Capacity using AES and Huffman Coding on
           Image Steganography

    • Authors: Christy Atika Sari, Giovani Ardiansyah, De Rosal Ignatius Moses Setiadi, Eko Hari Rachmawanto
      Abstract: Information security is very important and has been widely implemented. Cryptography and steganography are two common methods that can be implemented to secure and conceal the information. In this research, the proposed AES algorithm for cryptography and DWT for steganography. However, in case of implementing DWT as a steganography, there is a weakness which is a lower capacity. Based on DWT’s problem, proposed Huffman Coding to reduce the total of message’s bit and increase the capacity. In the implementation, a message will be processed by using AES and compressed by using Huffman Coding then conceal in a cover using DWT. After doing several experiments using a 128x128 pixel message image and a 512x512 pixel of the cover image, achieved the average of MSE is 1.5676 and the average of PSNR result is above 40db which is 46.1878.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9570
      Issue No: Vol. 17, No. 1 (2018)
  • Filter Technique of Medical Image on Multiple Morphological Gradient (mMG)

    • Authors: Jufriadif Na'am
      Abstract: Filter technique is supportive for reducing image noise.  This paper presents a study on filtering medical images, i.e., CT-Scan, Chest X-ray and Panoramic X-ray collected from two of the most prominent public hospitals in Padang City, Indonesia. This study used Blur, Emboss, Gaussian, Laplacian, Roberts, Sharpen and Sobel techniques as pre-processing step. The filter process performed before edge detection and edge clarification.  mMG method used in this study to clarify the edge detection.  Based on the experiment,  this study found that Gaussian technique performs the best technique in reducing medical image noise and makes object observation in medical images,  such as infiltrates in the lungs, caries in teeth or hemorrhage in the brain. Thus, the results of this study preserved to reduce the doctor’s hesitation in diagnosing objects in x-ray medical images.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9722
      Issue No: Vol. 17, No. 1 (2018)
  • Digital Book for Assessment and Evaluation Courses Based on Kvisoft-Kelase
           Asynchronous Pattern

    • Authors: Dewa Gede Hendra Divayana, Nyoman Santiyadnya, I Gede Ratnaya, Desak Putu Parmiti, Suratmin Suratmin, I Putu Darmayasa, I Made Sundayana
      Abstract: This research was conducted with the aim of obtaining information about the design of assessment and evaluation digital book as well as deployment process of the digital book through asynchronous patterns. This research uses development method with the 4D design which focuses only on define and design phase. Parties involved in conducting design trial consist of 2 experts namely one expert of education evaluation and one expert of informatics engineering education, with a trial tool in the form of questionnaires. The technique used to analyze the trial results data from those experts was descriptive quantitative with descriptive percentage calculation. In this research, the design result of assessment and evaluation digital book with kvisoft flipbook maker and the initial design of deployment with an kelase asynchronous pattern are included in the good category with a percentage of 7% based on experts test results.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9764
      Issue No: Vol. 17, No. 1 (2018)
  • New Instances Classification Framework on Quran Ontology Applied to
           Question Answering System

    • Authors: Fandy Setyo Utomo Utomo, Nanna Suryana, Mohd Sanusi Azmi
      Abstract: Instances classification with the small dataset for Quran ontology is the current research problem which appears in Quran ontology development. The existing classification approach used machine learning: Backpropagation Neural Network. However, this method has a drawback; if the training set amount is small, then the classifier accuracy could decline. Unfortunately, Holy Quran has a small corpus. Based on this problem, our study aims to formulate new instances classification framework for small training corpus applied to semantic question answering system. As a result, the instances classification framework consists of several essential components: pre-processing, morphology analysis, semantic analysis, feature extraction, instances classification with Radial Basis Function Networks algorithm, and the transformation stage. This algorithm is chosen since it robustness to noisy data and has an excellent achievement to handle small dataset. Furthermore, document processing module on question answering system is used to access instances classification result in Quran ontology.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9794
      Issue No: Vol. 17, No. 1 (2018)
  • Classification of Breast Cancer Grade Using Combination of Physical
           Parameters by K-Nearest Neighbor Method

    • Authors: anak agung ngurah gunawan, S. Poniman, I Wayan Supardi
      Abstract: Breast cancer is a health problem in the world. To overcome this problem required early detection of breast cancer. The purpose of this study was to classify early breast cancer grade. Combination of physics parameters with K_Nearest Neighbor Method is proposed to detect early breast cancer grade. The experiments were performed on 87 mammograms consisting of 12 mammograms of grade 1, 41 mammograms of grade 2 and 34 mammogram of grade 3. The proposed method was effective to classify the grade of breast cancer by an accuracy of 64.36, 50 sensitivity and 73,5% specitifity. Physics parameters can be used to classify grade of breast cancer. The results of this study can be used as a complement to the diagnosis of breast mammography examination.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9797
      Issue No: Vol. 17, No. 1 (2018)
  • Software Development of Lung Disease Detector Caused by Cigarettes

    • Authors: Sri Widodo, Ratnasari Nur Rohmah, Bana Handaga, Liss Dyah Dewi Arini
      Abstract: Type of  lung disease is very much manifold. But the type of lung disease caused by smoking there are only 4, namely Bronchitis, Pneumonia, Emphysema and Lung Cancer. This method is used to diagnose lung disease from a CT Scan image using the naked eye, then performing an interpretation of the data one by one. This procedure is not effective. The aim of this research is to develop an automatic lung disease detection software caused by smoking on Computed Tomography Scan (CT-Scan) images.  This study includes 4 (four) main points. First is the development of software for segmentation of lung organ automatically using Active Shape Model (ASM) method. Second is the segmentation of candidates who are considered illness by using morphological math. The third process of lung disease detection using Support Vector Machine (SVM). Fourth is visualization of disease or lung disorder using Volume Rendering.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9799
      Issue No: Vol. 17, No. 1 (2018)
  • Numerical Method for Evaluating E-cash Security

    • Authors: Dany Eka Saputra, Sarwono Sutikno, Suhono Harso Supangkat
      Abstract: Security evaluations of electronic cash (e-cash) schemes usually produce an abstract result in the form of a logical proof. This paper proposes a new method of security evaluation that produces a quantitative result. The evaluation is done by analyzing the protocol in the scheme using the Markov chain technique. This method calculates the probability of an attack that could be executed perfectly in the scheme’s protocol. As proof of the effectiveness of our evaluation method, we evaluated the security of Chaum’s untraceable electronic cash scheme. The result of our evaluation was compared to the evaluation result from the pi-calculus method. Both methods produced comparable results; and thus, both could be used as alternative methods for evaluating e-cash security. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9811
      Issue No: Vol. 17, No. 1 (2018)
  • Efficient Map-Reduction Scheduling for Time Constrained Jobs in Multinode
           Hadoop Virtual Cluster Cloud Environments Using Heterogeneity Aware

    • Authors: Karthikeyan S, Hari Seetha, Manimegalai R
      Abstract:  Map Reduce system orchestrates the processing of data-intensive jobs by rationalizing the distributed environments by running the various tasks in parallel cloud environments. Most of the Map reduce tasks have the time constraint requirement for their job execution. The existing time constrained problems do not consider the following problems: node performance, cluster performance, task execution time. However, in heterogeneous environment, it is very important to schedule a jobs in its preferred resources to achieve high performance. So in order to address this issue we propose a new map reduce scheduler called Heterogeneity Aware Scheduler(HAS). This paper addresses the cluster performance, job execution time and efficiency. Finally, the proposed scheduler is tested with the In-house virtual cluster (maximum of 16 Nodes) in cloud environments are performed to demonstrate the effectiveness of the heterogeneity aware scheduler in the time constrained scheduling. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9822
      Issue No: Vol. 17, No. 1 (2018)
  • The Implementation of Backpropagation Artificial Neural Network To
           Identify Medicinal Plant Types Based On The Leaf Morphological Feature

    • Authors: Kana Saputra S, Mochammad Iswan Perangin-Angin
      Abstract:  Indonesia is an agrarian country that is famous for its wealth of spices and medicinal plants. Data obtained from Indonesia Biodiversity Strategy and Action Plan 2003-2020 showed that in Indonesia there were more than 38.000 species of plants spread in various regions and forests of Indonesia. The existence of so many medicinal plant species could lead to higher similarities among the plants. Errors in identifying the types of medicinal plants could give undesirable effects for those who consumed them, even could cause death. The purpose of this study was to identify the types of medicinal plants using backpropagation artificial neural networks based on leaf morphological features. Image processing technique using thresholding and backpropagation artificial neutral network algorithms was able to identify medicinal plant species based on morphological features of leaves. The best identification of medicinal plants occurs when the learning rate was 0.05 and 0.1 with the average of recognition rate was 73.33%. For learning rate 0.05, the highest recognition rate occurred in fold 1, namely 80%. As for learning rate 0.1, the highest recognition rate occurs in fold 3, namely 84%.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9873
      Issue No: Vol. 17, No. 1 (2018)
  • Optimal SVC Allocation via Symbiotic Organisms Search for Voltage Security

    • Authors: Mohamad Khairuzzaman Mohamad Zamani, Ismail Musirin, Sharifah Azma Syed Mustaffa, Saiful Izwan Suliman
      Abstract: It is desirable that a power system operation is in a normal operating condition. However, the increase of load demand in a power system has forced the system to operate near to its stability limit whereby increase in load poses a threat to the power system security. In solving this issue, optimal reactive power support via SVC allocation in a power system has been proposed. In this paper, Symbiotic Organisms Search (SOS) algorithm is implemented to solve for optimal allocation of SVC in the power system. IEEE 26-Bus Reliability Test System is used as the test system. Comparative studies are also conducted concerning Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) techniques based on several case studies. Based on the result, SOS has proven its superiority by producing higher quality solutions compared to PSO and EP which can benefit the power system operators in planning for optimal power system operations.Optimal SVC Allocation via Symbiotic Organisms Search for Voltage Security Improvement
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9905
      Issue No: Vol. 17, No. 1 (2018)
  • Document Clustering: A Comparative Study of K-Means And Particle Swarm

    • Authors: Muhammad Furkan Khan Sherwani, Saleem Iqbal, Kashif Naseer Qureshi, Saqib Majeed
      Abstract: Cluster analysis refers to an approach applied on text documents for its organization which is known as document clustering. This process is best suited for automatized organization of documents, extraction of topics and rapid retrieval or filtration of information from a large collection of text documents. To find the natural grouping in the documents mostly the partitional clustering algorithms are used. K-means is considered to be the best received and classic partitional clustering algorithm. However, the final clustering results will be highly dependable on the randomly selected initial centroids of the clusters and considered one of the main drawback of this algorithm. A poor selection of initial centroids may cause the algorithm to converge prematurely and stuck in the local optimal clustering solution. Considering this particular situation as an optimization problem, for an alternative, optimization algorithms inspired by nature such as Particle Swarm Optimization (PSO) can be applied. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9918
      Issue No: Vol. 17, No. 1 (2018)
  • Analysis of Color Image Features Extraction using Texture Methods

    • Authors: aws AlQaisi, Mokhled AlTarawneh, Ziad A. Alqadi, Ahmad A. Sharadqah
      Abstract: A digital color images are the most important types of data currently being traded; they are used in many vital and important applications. Hence, the need for a small data representation of the image is an important issue. This paper will focus on analyzing different methods used to extract texture features for a color image. These features can be used as a primary key to identify and recognize the image. The proposed discrete wave equation DWE method of generating color image key will be presented, implemented and tested. This method showed that the percentage of reduction in the key size is 85% compared with other methods. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9922
      Issue No: Vol. 17, No. 1 (2018)
  • A Review of Energy-aware Cloud Computing Surveys

    • Authors: Azlan Ismail, Nor Adzlan Jamaludin, Suzana Zambri
      Abstract: The increasing demands on the usage of data centers especially in provisioning cloud applications (i.e. data-intensive applications) have drastically increased the energy consumption and becoming a critical issue. Failing to handle the increasing in energy consumption leads to the negative impact on the environment, and also negatively affecting the cloud providers' profits due to increasing costs. Various research efforts have been carried out to address energy consumption in cloud computing by proposing energy-aware and energy efficiency solutions. Furthermore, some efforts have been done to gather those solutions in terms of survey and review papers by classifying from various perspectives and motivations.
      In this paper, we intend to investigate the existing surveys in order to understand what has been studied and classified by others. The review of existing surveys can assist to identify the lacking area which can be addressed in the future review. We also provide a working classification of existing surveys and conclude with several suggestions.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9938
      Issue No: Vol. 17, No. 1 (2018)
  • Simulation of MOS Sensor to Detect Beef Classification

    • Authors: Budi Gunawan, Salman Alfarisi, Gunanjar Satrio, Arief Sudarmaji, Malvin Malvin, Krisyarangga Krisyarangga
      Abstract: The high demand of beef causes the seller mix the fresh and unfresh beef. Electronic nose was used to detect the quality of the beef quickly and accurately. This research is proposed to test and analyze the sensitivity of MOS sensor in the electronic nose and simulate it using Matlab to identify beef classification using neural network. Test parameters based on Indonesian National Standard (SNI 3932-2008) requirement on the quality of carcass and beef. In this simulation, the number of neurons in the hidden layer was varied to find the most accurate identification. The sensitivity analysis of the MOS sensor was conducted by testing the beef sample aroma, calculate the sensitivity, identify the formation of input, hidden layer, outputs, and simulate the result of the varied formation. Then, found the number of the most optimal neurons. The result of the data training will be applied in the real instrument.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9957
      Issue No: Vol. 17, No. 1 (2018)
  • Information Quality Risk Assessment using Threat Scenario Dependency Model
           and Extended Risk Matrix Approach

    • Authors: Jaka Sembiring, Fitasari Wiharni
      Abstract: Information has become a strategic asset for any organization so that every organization needs high quality information. Nevertheless, in many cases poor information quality appears mainly due to in-effectiveness of information management (information production and delivery). It is easily understood that this condition poses a certain risk. A holistic information risk management model has been previously proposed, but the model has some limitations especially on risk calculation and risk priority ranking as the model does not consider existing control effectiveness. In this paper, a new risk assessment method is proposed in order to improve the modelling of total impact of risks through taking into account the effectiveness of existing control and to improve the accuracy of risk priority ranking using extended risk matrix approach and Borda method. The proposed method is then implemented in a government institution as a real case illustration. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10050
      Issue No: Vol. 17, No. 1 (2018)
  • A Gamification Framework to Enhance Students’ Intrinsic Motivation
           on MOOC

    • Authors: Rujianto Eko Saputro, Sazilah Salam, Mohd Hafiz Zakaria, Toni Anwar
      Abstract: The Government of Indonesia seeks to increase the distribution of education through online learning in 2018. One of the learning media that supports open learning system is the Massive Open Online Course (MOOC). However, MOOCs have particular disadvantages in the low number of learners who complete the course. This research proposed "MARC gamification framework" through study and various approaches in the game field, intrinsic motivation elements, social learning, and interactive learning environments. Evaluation of the framework has been done through validation by experts. From the results of the evaluation, it was found that the proposed framework has met the rules and suitability of the instruments and game elements used, although there are some changes in function and type of game elements used.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10090
      Issue No: Vol. 17, No. 1 (2018)
  • Determinants of Successful Knowledge Sharing Initiative in University

    • Authors: Saide Saide, Richardus Eko Indrajit, Hsiao-Lan Wei, Herzavina Herzavina
      Abstract: This paper aims to assess the importance of determinants resources in an institution to promote organizational innovation. The links among path goal theory, information technology, and knowledge management program were analyzed. Previous studied relating aspects of knowledge management was concerned with the industry, the academic institution have not received much attention. We validated our measures and tested our research model using 160 respondents. We conclude that path goal theory and information technology are elements that support knowledge management program in University.  Finally, recommendations and implications are discussed to help institution guide their efforts to implement knowledge management
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10094
      Issue No: Vol. 17, No. 1 (2018)
  • Modified DCT-Based Audio Watermarking Optimization using Genetics

    • Authors: Ledya Novamizanti, Gelar Budiman, Irma Safitri
      Abstract: This research aims to optimize the insertion parameters on Modified Discrete Cosine Transform (M-DCT) based audio watermarking using a genetic algorithm, to produce better audio resistance. MDCT is applied after reading host audio, then embedding in MDCT domain is applied by Quantization Index Modulation (QIM) technique. Insertion within the MDCT domain is capable of generating a high imperceptible watermarked audio due to its overlapping frame system. The system is optimized using genetic algorithms to improve the value of imperceptibility and robustness in audio watermarking. In this research, the average SNR reaches 20 dB, and ODG reaches -0.062. The subjective quality testing on the system obtains an average MOS of 4.22 out of five songs tested. In addition, the system is able to withstand several attacks. The use of M-DCT in audio watermaking is capable of producing excellent imperceptibility and better watermark robustness. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10111
      Issue No: Vol. 17, No. 1 (2018)
  • Traffic Congestion Prevention by Optimizing Traffic Lights’ Setting
           using Fuzzy Mamdani Method

    • Authors: Dian Hartanti, Rosida Nur Aziza, Puji Catur Siswipraptini
      Abstract: One of the main causes of traffic congestion, especially at intersections, is because traffic lights have not been able to show the exact time in accordance with existing traffic conditions. Timing or timing arrangements based on peak / off-peak traffic lights are not sufficient to handle unforeseen situations. Therefore, a method capable of optimizing time settings based on real-time conditions is required so that unwanted green signals (when there is no queue) can be avoided. If the timer for each path has the intelligence to predict the exact time, traffic congestion at the intersection can be reduced. The purpose of this study is to create a simulator to optimize traffic time settings using Fuzzy Mamdani method. This method makes decisions with several stages, the criteria used are the length of the queue, the width of each path, the number of vehicles, and the speed of the vehicle
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10129
      Issue No: Vol. 17, No. 1 (2018)
  • Human Organization and Technology-Fit Model to Evaluate Implementation of
           Library Information System

    • Authors: Idria Maita, Irfani Dwi Ayu Riski
      Abstract:  This study discusses the factors of influence of the successful implementation of library information system at Library Archives Office of Riau Province that called QALIS (Quadra Automated Library Information System). This evaluation is using HOT-Fit model. HOT-Fit placed three substantial components of information system, there are human, organization and technology. The purpose of this research is to evaluate and knows that system quality, information quality, service quality, system use, user satisfaction, organization structure and net benefit are the factors affecting successful implementation of QALIS. The underlying of this research is the phenomenon that QALIS was implementation since 2010 but not optimal using of librarian and it is utilization not measured for all library users. Data is obtaion trough distributing questionnaires to 100 respondents that consisting of 9 librarians and 91 library user. Data analysized us Partial Least Square with SmartPLS. The result of this study indicated that information quality variable and service quality variable has influence on user satisfaction, user satisfaction variable has influence on system use, organization structure variable has influence on user satisfaction, system use variable, user satisfaction variabel and organization structure variable has influence on net benefit (level of significant 0.05). 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10140
      Issue No: Vol. 17, No. 1 (2018)
  • Prototype Distributed Application In Banking Transaction Using Remote
           Method Invocation

    • Authors: Agus Cahyo Nugroho
      Abstract: Today banks have many branches in big cities of the world. System usually used  a central database in a particular city. Increased of database server performance due to number of users accessing this application should not degrade performance of application. To keep  database server performance optimally, application must distributed to the network. Therefore it is going to used three-tier application, because three-tier applications support deployment of distributed-based applications component. In distributed applications it takes a remote method call, that is why we are going to used Remote Method Invocation to develop this system. Based on results of analysis conducted, author can draw some following conclusion of the application, which are it can be run as a separate process on the same computer or run on a different computer, then once the client get a reference from the remote object then method of remote object is called like calling method from local object and methods that we have defined and implemented on remote object can we call or use both on desktop and web applications so we do not need to work twice.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8222
      Issue No: Vol. 17, No. 1 (2018)
  • Android Diet Application Based on Blood Type Using Push Notification and
           Restful Technology

    • Authors: Natalia Chandra, Stefanus Wibowo, Cindy Fransiska, Aswin Wibisurya
      Abstract: A healthy body starts from an ideal weight. Generally, people will choose diet as a way to achieve the desired weight loss. There are several types of diet like carbohydrate diet, food-combining, mayo diet, blood type diet, etc. Blood type diet is a diet that adjust dietary habit and exercices based on blood types (A, B, AB, and O). Before the development of technology, normally people visit nutritionist or buy a health book. The objective of this research is to produce an android application that give foods and exercises recommendation, watch the calories intake, give information about foods using barcodes, and help people to have an ideal body weight. The development of this application using server-side and client-side, where the client-side will be developed in android smarthphone and using REST Web services to connecting the exchange information between user and server. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8312
      Issue No: Vol. 17, No. 1 (2018)
  • Android-Based Restaurant Reservation Application Using Push Notification

    • Authors: Andreas Andreas, Yonathan Yonathan, Maria Andrea Ottemusu, Aswin Wibisurya, Alexander Alexander
      Abstract:  In the case where a service occurs for short session, e.g. in the case of a restaurant, customers may choose to wait for the availability of a service (table). This results in a queue.A reservation system can be developed to reduce the customer’s waiting time. However, reservation system in traditional restaurants comes with several problems to address: unclear capacity and customers visiting a restaurant without having a reservation before.The purpose of this paper is to develop a model of mobile online reservation system using push notification. In this case, the system should accommodate group reservation (reservation for a number of persons) and notify the customers when their seats become available.The design of the system is done using use case diagram and ERD. Evaluation is done by distributing questionnaire to ensure the usability of the system. Evaluation using questionnaire shows a good, above average results on usefulness, usage satisfaction, and ease of use. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8344
      Issue No: Vol. 17, No. 1 (2018)
  • AKU: A Web Based E-Complaint Application with Automated Complaints

    • Authors: Vannia Ferdina, Marcel Bonar Kristanda, Seng Hansun
      Abstract: In university’s terms, students’ complaints about the services provided are important things to note because if it’s not handled properly, it will lead to the higher students transfer. In Universitas Multimedia Nusantara (UMN), students can deliver their complaints through an organization named Dewan Keluarga Besar Mahasiswa (DKBM) UMN. In the technological era, complaints management system is also implemented online, called e-complaint. Therefore, a similar online complaint submission system can also be applied at UMN. The method that can be used to support efficient complaints processing is the use of automated classification system because it can save both time and human resources. The evaluation of e-complaint application is conducted using USE Questionnaire. The results of e-complaint application evaluation show that DKBM UMN strongly agrees that e-complaint application is useful, easy to use, easy to learn, and satisfying. In addition, UMN students agree that e-complaint application is useful, easy to use, easy to learn, and satisfying.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8361
      Issue No: Vol. 17, No. 1 (2018)
  • Design of Electro Cardiograph Machine

    • Authors: Bambang Guruh Irianto, Budhiaji Budhiaji, Dwi Herry Andayani
      Abstract: The price of ECG machine on the market is very expensive. The technology used is still very complicated and ineffective, and the display of ECG machine cannot be connected to other devices. In this study, the researchers design an ECG machine 12 channels by utilizing ATMEGA microcontroller technology, graphic LCD 64x12, that are available on the market at low prices. So portable ECG machines can be produced and connected to other devices. The objective of this study is to design an ECG machine using ARMEGA microcontroller technology, by making an ECG bio amplifier circuit, measuring bio amplifier’s amplitude and frequency responses, and making ECG signal processor circuit with microcontroller, which can be displayed on a 128x64 graphic LCD or PC. To answer the research objective, the research design used is pure experimental research, i.e. series experimental design. The independent variable is ECG phantom or human and the dependent variable is the ECG machine. The design of ECG machine steps are as follows: circuit design, circuit testing, and output calibration. The conclusions of the study are: the result of ATMEGA microcontroller program listing design can be used to run the program of ECG machine with ATMEGA microcontroller by displaying heartbeats, beep sounds of each R wave and ECG signal, which are displayed on graphic LCD and PC, and can be printed trough a computer or stored in a computer.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8558
      Issue No: Vol. 17, No. 1 (2018)
  • Hybrid Model for Forecasting Space-Time Data with Calendar Variation

    • Authors: I Made Gde Meranggi Dana, Suhartono Suhartono, Santi Puteri Rahayu
      Abstract: The aim of this study is to propose a new approach Generalized Space-Time Autoregressive with Exogenous Variable-Neural Network (GSTARX-NN) model for forecasting space-time data with calendar variation effects, where GSTARX model as a linear component involving predictor variable, that is an effect of calendar variation and NN as a nonlinear component. In this study, there are two studies conducted, i.e. simulation studies and applications on monthly inflow and outflow currency data in Bank Indonesia East Java region. The simulation study shows that the hybrid GSTARX-NN model is able to capture the data that contains a trend, seasonal, variation calendar, and linear or nonlinear noise series. The results on real data show that the hybrid GSTARX-NN model tends to give more accurate forecast then VARX and GSTARX.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10096
      Issue No: Vol. 17, No. 1 (2018)
  • Vehicle Detection Using Background Subtraction And Clustering Algorithms

    • Authors: Puguh Budi Prakoso, Yuslena Sari
      Abstract:  Intelligent Transportation System originated from problems caused by congestion then cross and synergy technology information with real-time and network simulation communication. Congestion then passes increasing worldwide as the effect of enhancement motorization, urbanization, growing population, and density residents. Congestion reduces efficiency or transportation infrastructure and improving time travel, pollution air and consumption ingredients burn. Video cameras play an important role in achieving the potential promised by Intelligent Transportation Systems. In particular, video tracking systems have been widely used in traffic data collection and event detection with tracking and analysis trajectory vehicle through processing image move. Focused on current vehicle tracking methods, this is limited to circumstances then mixed traffic. Research this propose OTSU, FCM and K-means methods in processing video image. OTSU is the algorithm used classically in segmentation picture then clustered pixels into two foreground and background groups. The clustering algorithm does not use supervision has successfully applied to some problems in pixels are FCM (Fuzzy C-Means) and K-means. So that will get the value of MSE on the clustering algorithm for the threshold in the background subtraction to perform tracking on moving objects  with varyinvariedg environmental conditions.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10144
      Issue No: Vol. 17, No. 1 (2018)
  • Modeling and Prediction of Rice Production using Support Vector Regression

    • Authors: Muhammad Alkaff, Husnul Khatimi, Wenny Puspita, Yuslena Sari
      Abstract: Food security is still one of the main issues faced by Indonesia due to its large population. Rice as a staple food in Indonesia has experienced a decline in production caused by unpredictable climate change. This study aims to make a prediction model of paddy rice production on climate change in South Kalimantan Province which is one of the National rice granary province and the number one rice producer in Kalimantan Island. This study uses monthly climatic data from Syamsudin Noor Meteorological Station and quarterly rice production data from Badan Pusat Statistik of South Kalimantan. This research uses climatic data as input and production of rice as output which was divided into two, that is training data and testing with Support Vector Regression (SVR) method. The result of this research produce prediction model with R2 equal to 0,9890 and RMSE identical to 0,0279 with combination parameter, that is Kernel RBF, C: 1, ε: 0,002 and γ: 0,2. While the accuracy of the model when predicting data testing in 2016 produces RMSE of 0.1392.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10145
      Issue No: Vol. 17, No. 1 (2018)
  • Implementation Integration of VaaMSN with SEMAR for Air Monitoring

    • Authors: Yohanes Yohanie Fridelin Panduman, Adnan Rachmat Anom Besari, Sritrusta Sukaridhoto, Rizqi Putri Nourma Budiarti, Rahardhita Widyatra Sudibyo, Funabiki Nobuo
      Abstract: Air quality monitoring system from empirical analysis has a high cost, and single datum class makes it impossible for a large-scale installation. This paper proposes a working Mobile Sensor and Internet of Things system that is able to monitor air quality parameters. This system consists of Vehicle as a Mobile Sensors Network (VaaMSN) as edge computing and Smart Environment Monitoring and Analytic in Real-time (SEMAR) cloud computing. VaaMSN is a package of air quality sensor, GPS, 4G WiFi modem and single board computing. SEMAR cloud computing has a time-series database for real-time visualization, analytics, and Big Data environment. The output from the system are maps, table, and graph visualization. From the experiment, the evaluations confirmed that the data analytic function adopting the Support Vector Machines (SVM) and Decision Tree algorithms achieve estimation accuracy more than 90% with the MSE about 0.03076293 for SVM and 0.00268096 for Decision Tree
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10152
      Issue No: Vol. 17, No. 1 (2018)
  • Implementation Mobile based Land Certification System in Indonesia

    • Authors: Nur Hadisukmana, Febriano S N. Tando, Wiranto Herry Utomo
      Abstract: The registration process of land certificate is often become a very tedious thing for a community. It is because the process of the registration itself is considered too long and less informative. To overcome this problem, develop an application of land services is needed. The objective of this research is to modernize the land certification process by making a mobile-based application for the land owner and web-based for the officer. In this research the extreme programming will be used.  The result of this research which are: 1) Modernizing the land certification system is achievable by making a mobile application for the client and web-based for the server, 2)  the officer will be able to easily process the applications and keep track of the users, 3)  land owner easier to manage the certificate and request for a certificate.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10276
      Issue No: Vol. 17, No. 1 (2018)
  • Load Balancing Clustering on Moodle LMS to Overcome Performance Issue of
           e-Learning System

    • Authors: Mujiono Sadikin, Raka Yusuf, Arif Rifai D.
      Abstract: In dealing with the rapid growth of digitalization, e-learning system has become a mandatory component of any Higher Education (HE) to serve academic processes requests. Along with the increasing number of users, the need for service availability and capabilities of eLearning are increasing day by day. The organization should always look for strategies to keep the eLearning always able to meet these demands. This report presents the implementation of Load Balancing Clustering (LBC) mechanism applied to Moodle LMS in a HE Institution to deal with the poor performance issues. By utilizing existing tools such as HAProxy and KeepAlived, the implemented LBC configuration delivers a qualified e-learning system performance. Both of qualitative and quantitative parameters convince better performance than before. In four months operation there is no user complaint received. Meanwhile, in the current semester has been running for two months, the up-time is 99.8 % of 52.685 minutes operational time
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10284
      Issue No: Vol. 17, No. 1 (2018)
  • Formal Expansion Method for Solving an Electrical Circuit Model

    • Authors: Tjendro Tjendro, Sudi Mungkasi
      Abstract: We investigate the validity of the formal expansion method for solving a second order ordinary differential equation raised from an electrical circuit problem. The formal expansion method approximates the exact solution using a series of solutions. An approximate formal expansion solution is a truncated version of this series. In this paper, we confirm using simulations that the approximate formal expansion solution is valid for a specific interval of domain of the free variable. The accuracy of the formal expansion approximation is guaranteed on the time-scale 1.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10318
      Issue No: Vol. 17, No. 1 (2018)
  • Using Weighted Product for A Performance-Based High School Student Ranking

    • Authors: Kevin Lionery, Andre Rusli, Maria Irmina Prasetiyowati
      Abstract: The Indonesian Ministry of Education and Culture stated that the core competencies for students to achieve in high school are spiritual and social skills, cognitive skills, and practical skills. Based on the perfomance in those core competencies, students are then scored and ranked. However, some high schools still provide the ranking based on only cognitive and practical skills only. SMA Yadika 5 is one of those schools which is willing to change for the better. This research develops a decision support system using the Weighted Product method to assess the spiritual and social, cognitive, and practical skills in order to rank and finally choose the best students. The system’s usability has been tested and evaluated using the USE Questionnaire, resulting to a score of 81.78% based on the Likert scale. This result also shows that there is a huge difference if compared to the previous student ranking and selection system.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10325
      Issue No: Vol. 17, No. 1 (2018)
  • Bioinspired Algorithms to Select Textural Features for Predicting Nitrogen
           Content in Spinach

    • Authors: Yusuf Hendrawan, Indah Mustika Sakti, Yusuf Wibisono, Muchnuria Rachmawati, Sandra Malin Sutan
      Abstract: The use of computer vision and Artificial Neural Network (ANN) modelling can be an alternative solution in identifying total nitrogen in spinach leaf. This study aimed to determine the nitrogen content in spinach leaf by using texture analysis. The texture analysis consisted of 40 textural features constructed from RGB and grey colours. From the 40 textural features, the best features-subset was selected by using some features selection methods. The combination of ANN with Ant Colony Optimization resulted in the most optimal modelling with mean square error validation value of 0.0000083 and the R2 testing-set data = 0.99 by using 10 textural features as the input of ANN. The structure of ANN which has been developed can be used as non-invasive sensing device to predict nitrogen content of spinach leaf in the fields and for guiding farmers in the accurate application of their nitrogen fertilisation strategies.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10326
      Issue No: Vol. 17, No. 1 (2018)
  • A High Efficiency BPSK Receiver for Short Range Wireless Network

    • Authors: Mousa Yousefi, khalil Monfaredi
      Abstract: In this paper, a 910MHz high efficiency BPSK Receiver is presented with Colpitts oscillator for Short Range Wireless Network. In this research, with injection-lock technique and using Colpitts oscillator, the efficiency of receiver has been improved. And also, behavior of an oscillator under injection of another signal has been investigated. Also, variation of output signal amplitude versus injected signal phase variation, the effect of varying the amplitude of injected signal and quality factor of the oscillator has been investigated. The designed receiver has 0.474 mW dc power and -60 dBm sensitivity. Data rate of receiver is 5 Mbps. The FOM of receiver is 94 pJ/bit. This receiver was designed and simulated in 0.18 µm RFCMOS technology. This proposed receiver can be used in short range wireless network for example, Wireless Body array network and wireless sensor network.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8616
      Issue No: Vol. 17, No. 1 (2018)
  • A Novel Structure of A Low Cost Zero Bias Broadband Microstrip Power

    • Authors: Khalifa Echchakhaoui, Elhassane Abdelmounim, Jamal Zbitou, Hamid Bennis, Ahmed Errkik, Angel Mediavilla Sanchez
      Abstract: In this paper, a new broadband microwave microstrip power limiter is designed and realized. The Power Limiter is based on microstrip technology integrating a Zero Bias commercial Schottky diodes HSMS2820 [1].The power limiter is optimized and validated in two steps. The enhanced and achieved circuit is obtained by concatenating two basic structures. The final circuit was validated into simulation by using ADS solver. Finally this circuit was realized and tested. Simulation and measurement results are in a good agreement. The final circuit achieves a limiting rate of 15 dB with a threshold input power level of 0 dBm until a maximum input power level of 30 dBm.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8730
      Issue No: Vol. 17, No. 1 (2018)
  • Stochastic Computing Correlation Utilization in Convolutional Neural
           Network Basic Functions

    • Authors: Hamdan Abdellatef, Mohamed Khalil Hani, Nasir Shaikh Husin, Sayed Omid Ayat
      Abstract: In recent years, many applications have been implemented in embedded systems and mobile Internet of Things (IoT) devices that typically have constrained resources, smaller power budget, and exhibit "smartness" or intelligence. To implement the computation-intensive and resource-hungry Convolutional Neural Network (CNN) in these classes of devices, many research groups have developed parallel specialized accelerators using Graphical Processing Units (GPU), Field-Programmable Gate Arrays (FPGA), or Applicatipn-Specific Integrated Circuits (ASIC). An alternative computing paradigm called Stochastic Computing (SC) can implement CNN with low hardware footprint and power consumption. To enable building more efficient SC CNN, this work incorporates the CNN basic functions in SC that exploit correlation, share Random Number Generators (RNG), and is more robust to rounding error. Experimental results show our proposed solution provides significant savings in hardware footprint and increased accuracy for the SC CNN basic functions circuits compared to previous work.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8955
      Issue No: Vol. 17, No. 1 (2018)
  • Development of the Internet of Things at Hydroponic System Using Raspberry

    • Authors: Rony Baskoro Lukito, Cahya Lukito
      Abstract: Hidroponik adalah salah satu teknologi bercocok tanam dengan menggunakan media air untuk pemenuhan kebutuhan nutrisi tanaman. Pemanfaatan air dalam sistem hidroponik lebih effisien dibandingan dengan sistem bercocok tanam dengan menggunakan media tanah. Air yang telah dicampur dengan nutrisi mineral yang dibutuhkan oleh tanaman dialirkan secara terus menerus ke akar-akar tanaman. Keuntungan lain dari methode ini adalah sangat cocok untuk diterapkan dalam lahan yang terbatas seperti lingkungan rumah perkotaan, yaitu dengan memanfaatkan ruangan yang ada di dalam rumah. Dalam kegiatan sehari-hari warga perkotaan banyak menghabiskan waktunya di luar rumah untuk bekerja, bersekolah, berbelanja dan aktifitas lainya. Dengan demikian pengamatan sistem hidroponik dari jarak jauh menjadi penting untuk bisa dilakukan dari manapun. Ketersediaan, suhu, dan PH air adalah beberapa faktor dalam sistem hidroponik yang perlu diamati secara berkala untuk menentukan tindakan yang tepat. Permasalahan ini dapat diselesaikan dengan mengembangkan teknologi Internet of Things pada sistem hidroponik agar fungsi pengamatan dapat dilakukan dari jarak jauh dan dilaporkan secara langsung melalui jaringan internet.  
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9265
      Issue No: Vol. 17, No. 1 (2018)
  • Detected Signal Performance of Semiconductor Optical Amplifier and Raman

    • Authors: Roby Ikhsan, Romi F Syahputra, Saktioto Saktioto
      Abstract: The technology of optical fiber communication has greatly been developed due to limitations on communication methods for information needs. Optical fiber is one of waveguides that is able to transmit information in large capacity, high speed and low attenuation. Due to long transmission line, the signal transmission needs to be kept from the disturbances of geometry differences, material impurities, and signal sources. Optical amplifier is required to retain the signal. Some types of amplifiers have been used however each has advantages and disadvantages. This final project investigates the perfomances of Semiconductor Optical Amplifier (SOA) and Fiber Raman Amplifier (FRA). Both amplifiers were designed and compared by inline amplifiers using a simulation method. The simulation method used was Optisystem version The results showed that FRA system can transmit signals further than SOA system. Both amplifiers showed good performances based on BER and Q-factor values which are smaller than 10-12 and bigger than 6 respectively for a distance of 200 km on FRA and 190 km on SOA. The attenuation in FRA system is smaller than SOA system. The coefficient of attenuation on FRA system is 0.435 dBm/km and 0.456 dBm/km on SOA system for a distance of 100 km and wavelength of 1350 nm. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9585
      Issue No: Vol. 17, No. 1 (2018)
  • Design and Fabrication of Cost-effective Heart-Rate Pulse Monitoring
           Sensor System

    • Authors: Zulkhairi Mohd Yusof, Md Masum Billah, Kushsairy Kadir, Nur Amanina, Nur Hidayah, Haidawati Nasir
      Abstract: A traditional approach of heart rate measurement has always meant that people must go to hospitals to examine the patient disease at Cardiologist and medical officer. Most people have difficult such as no transport and lazy to go to the hospital for the check-ups of their conditions heart rate. This is because, before have a treatment or medical check-up, they should do an appointment. Besides that, demands of works very high nowadays. People busy with their works until forget to do medical check-ups. Additionally, the available portable heart rate monitoring machine is costly to buy for all. In this research, we develop a system which can be accommodate for all while everyone can do their check up at home and do not waste their time by waiting for their turn in the hospital to do the medical check-ups. The prototype is built using low cost electronics components. The prototype can do a self-check-up before seeing a medical practitioner may reduce mortality rate due to the silent killer that is heart attacks. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9926
      Issue No: Vol. 17, No. 1 (2018)
  • Fabrication of pH Sensor Based on Fiber Optic Coated Bromophenol Blue and
           Cresol Red Simultaneously

    • Authors: Fredy Kurniawan, Baginda Zulkarnain, Mohammad Teguh Hermanto, Hendro Juwono, muhammad rivai
      Abstract: Fabrication of pH sensor based on fiber optic coated bromophenol blue and cresol red has been done. Briefly, jacket in the middle part of the fiber optic was removed for 5 cm. Then the core of each of fiber optics was washed in ethanol. Nitric acid, demineralized water, and ethanol again consecutively. Then the cleaned core was coated using active material using sol-gel immobilization technique. Bromophenol blue will start change the color to yellow at below pH 3.0 and blue at above pH 4.6, while the cresol red will start change the color to yellow at below pH 7.2 and violet at above pH 8.8. The pH sensors which have been made show the sigmoidal response over pH from 1.0 to 11.0.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9993
      Issue No: Vol. 17, No. 1 (2018)
  • Design of Dual Band Microstrip Antenna for Wi-Fi and WiMax Applications

    • Authors: Raad H. Thaher, Zainab S Jameel
      Abstract: In this paper, a dual band rectangular microstrip patch antenna with microstrip line is presented. The proposed antenna is designed on FR4 substrate with thickness 1.5mm and relative permittivity 4.3. The antenna is designed to operate at 2.4/5.8GHz bands for Wi-Fi/WiMax applications. The obtained return loss is -32.77dB at 2.4GHz with 7.4% bandwidth and -25.955dB at 5.8GHz with 8.17% bandwidth. The practical and simulation result are computed. It is noted that there is a good agreement between the simulation and measured result (using vector network analyzer (VNA)).     
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10016
      Issue No: Vol. 17, No. 1 (2018)
  • Internet of Things: Smart Garbage Monitoring System with Real Time

    • Authors: Riyan Hadi Putra, Feri Teja Kusuma, Tri Nopiani Damayanti, Dadan Nur Ramadan
      Abstract: Every single day, garbage is always produced and sometimes, due to the unbalance between high volume produced and the garbage volume transported to the landfill; it then leads to the buildup. To prevent any negative impact on environment, a system is needed to support the waste management process. Smart Garbage Monitoring System consists of two parts: portable garbage can and monitoring application using android smartphone. The use of ultrasonic sensor, GPS and GSM Module on the garbage can aims to provide the data on the garbage and send it to the real time database, in which the data will be processed by the monitoring application on smartphone to determine the time of garbage transport purposely to prevent any buildup. Test results showed the capability of the system in monitoring the garbage can with the minimum distance between the wastes by three meters. The information on the height level of garbage can be synchronized in real time to smartphone, with an average delay on the EDGE network of 4.57 seconds, HSPA + of 4.52 seconds and LTE of 3.85 seconds. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10121
      Issue No: Vol. 17, No. 1 (2018)
  • The QCM Based Electronic Nose System Implemented On FPGA

    • Authors: Misbah Misbah, Muhammad Rivai, Fredy Kurniawan
      Abstract: Nowadays, an electronic nose becomes an important tool for detecting gas. The electronic nose consists of gas sensor array combined with neural networks to recognize patterns of the sensor array. Currently, the implementation of the neural network on the electronic nose systems still use personal computer so that less flexible or not portable. This paper discusses the electronic nose system implemented in a Field Programmable Gate Array. The sensor array consists of eight Quartz Crystal Microbalance (QCM) coated with chemical materials. The eight channel-frequency counter is used to measure the frequency change of the sensor due to the presence of gas adsorbed to the surfaces. The bipolar sigmoid activation function used in the neuron model is approximated by a second order equation. The experimental result showed that the electronic nose system could recognize all the types of gas with 92% success rate. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10133
      Issue No: Vol. 17, No. 1 (2018)
  • Near Infrared Sensor for Glucose Solution Monitoring

    • Authors: Engelin Shintadewi Julian, Kiki Prawiroredjo, Gunawan Tjahjadi
      Abstract: In order to manage their blood glucose level, diabetics have to test their blood glucose level regularly. Unfortunately, the current blood glucose measurement device is uncomfortable, painful, event costly for the diabetics; therefore, a lot of attention is given to develop a noninvasive blood glucose meter. We studied the potential of two near infrared wavelength i.e. 1450 and 940 nm as glucose sensor. Each sensor consists of a light emitting diode (LED) as light source, a photodiode that is sensitive to that wavelength, transimpedance amplifier, and filter. An acrylic box size 1 cm x 5 cm x 5 cm was used as glucose solution container. The LED and photodiode was located at each side of box length, at 1 cm distance. The container was than filled with various glucose solution, and the sensor output voltages were measured. The 1450 nm sensor shows that the output voltages tend to lower when the glucose concentration is higher, while for the 940 nm sensor, relation between output voltages and glucose concentration is not conclusive. More study is needed to reduce the 50 Hz interference and increase the sensitivity as well as the accuracy of the NIR glucose sensor.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10149
      Issue No: Vol. 17, No. 1 (2018)
  • State-Space Averaged Modeling and Transfer Function Derivation of DC-DC
           Boost Converter for High-Brightness LED Lighting Applications

    • Authors: Muhammad Wasif Umar, Norzaihar Yahaya, Zuhairi Baharudin
      Abstract: This paper presents dynamic analysis of a boost type dc-dc converter for high-brightness LED (HBLED) driving applications. The steady state operation in presence of all system parasitics has been discussed for continuous conduction mode (CCM). The state-space averaging, energy conservation principle and standard linearization are used to derive ac small signal control to inductor current open-loop transfer function of the converter. The derived transfer function can be further used in designing a robust feed-back control network for the system. In the end frequency and transient responses of the derived transfer function are obtained for a given set of component values, hence to provide a useful guide for control design engineers. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10272
      Issue No: Vol. 17, No. 1 (2018)
  • Photovoltaic Thermal (PVT) Collector with and without Water Flow

    • Authors: Ahmad Fudholi, Dzetty Soraya Abd Aziz, Nur Farhana Mohd Razali, Abrar Ridwan, Rado Yendra, Hartono Hartono, Ari Pani Desvina, Rahmadeni Rahmadeni, Mohd Hafidz Ruslan, Kamaruzzaman Sopian
      Abstract:  Solar radiation can be converted to the electrical energy and thermal energy by photovoltaic panel and solar collector. In this experiment, PVT collector was designed, fabricated and tested its performance. The experiment conducted with PVT with and without water flow to compare the efficiency of the system. The efficiency of PVT systems relate to the increasing of the temperature of the operating system. The solar radiation showed the linear relation with the efficiency of systems. The water flow with the copper rods help the PVT collector in increasing the convection of thermal heat transfer. The power output increase with increase of radiation. The power output produced was higher when system using natural water flow as cooler. The efficiency of PVT varies with different intensity of radiation which stated in this experiment for 570 W/m2, 750 W/m2 and 880 W/m2.The average efficiency of PV panel for PVT with water flow is 10.01% and 9.44% for PVT without water flow. The efficiency of PV panel decrease with increasing temperature.  
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8731
      Issue No: Vol. 17, No. 1 (2018)
  • Benchmarking Medium Voltage Feeders Using Data Envelopment Analysis: A
           Case Study

    • Authors: K.T.M.U Hemapala, H.M.J.N Herath, O.V. Gnana Swathika
      Abstract: Feeder performance evaluation is a key component in improving the power system network. Currently there is no proper method to find the performance of Medium Voltage Feeders (MVF) except the number of feeder failures. Performance benchmarking may be used to identify actual performance of feeders. The results of such benchmarking studies allow the organization to compare feeders with themselves and identify poorly performing feeders. This paper focuses on prominent benchmarking techniques used in international regulatory regime and analyses the applicability to MVFs. Data Envelopment Analysis (DEA) method is selected to analyze the MVFs. Correlation analysis and DEA analysis are carried out on different models and then the base model is selected for the analysis. The relative performance of the 32 MVFs of Western Province, Sri Lanka is evaluated using the DEA. Relative efficiency scores are identified for each feeder. Also the feeders are classified according to the sensitivity analysis. The results indicate that the DEA analysis may be conveniently employed to evaluate the performance of the MVFs. The evaluation is carried out once or twice a year with the MV distribution development plan in order to identify the performance of the feeders and to utilize the available limited resources efficiently.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9288
      Issue No: Vol. 17, No. 1 (2018)
  • Transient Power Quality Performance of Multi Photovoltaics using MPPT P
           and O/MPPT Fuzzy

    • Authors: Amirullah Amirullah, Agus Kiswantono, Ontoseno Penangsang, adi soeprijanto
      Abstract: This paper presents comparative performance of transient power quality due to multi PV integration to grid at both fixed temperature and solar irradiation connected using MPPT P and O/MPPT Fuzzy. This research is performed as five transient of short-circuit faults on PCC bus. An artificial intelligence with FLC is used to set duty cycle with step variable to control DC/DC boost converter, generate quick convergence to determine MPPT for controlling of PV output voltage and then its result is compared with MPPT P and O. During transient phase, non-symmetrical faults are capable of generate unbalance current/voltage greater than symmetrical faults. On symmetrical faults, MPPT Fuzzy produces average THD voltage/THD current smaller than MPPT P and O. Otherwise on non-symmetrical faults, MPPT P and O gives average THD voltage/THD current slightly smaller than MPPT Fuzzy. Both of MPPT P and O and MPPT Fuzzy on all short circuit faults during transient phase result significantly smaller current average THD current than average THD voltage and limits THD prescribed in IEEE 519. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9897
      Issue No: Vol. 17, No. 1 (2018)
  • Ambient Light Adaptive LED Light Dimmer

    • Authors: Taufik Taufik, William Xiong, Jonathan Sato, Saidah Saidah
      Abstract: This paper presents the design of an Adaptive Light Dimmer based on the method of sensing ambient light content to adjust lamp's light intensity accordingly, and thus regulating the room's light content. The device is designed to work with renewable energy sources such as wind and solar energy. This would be useful in less developed countries where AC electricity is not well spread and renewable DC sources, such as solar, can be better utilized. It functions by using the TSL2561 light sensor, ATTiny85 microcontroller to output PWM to the LED driver, LT3795 LED driver to output current to an LED and LT3014 LDO to lower the input voltage and power the microcontroller and sensor. The dimmer is designed to work with a 48V input voltage and operate from an input light range of 20 to 100 Lux. Above 100 Lux the light is off and below 20 Lux the light is fully on.  
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10114
      Issue No: Vol. 17, No. 1 (2018)
  • Wind Turbine State Monitoring Based on Genetic Algorithm

    • Authors: Liang Tao, Qian Siqi, Zhang Yingjuan, Shi Huan
      Abstract: In order to reduce the curse of dimensionality of massive data in SCADA (Supervisory Control And Data Acquisition) system and remove data redundancy, the grey correlation algorithm is used to extract the eigenvectors of monitoring data. The eigenvectors are used as input vectors and the monitoring variables related to the unit state as output vectors. The genetic algorithm and cross validation method are used to optimize the parameters of the support vector regression (SVR)model. A high precision prediction is carried out and a reasonable threshold is set up to alarm the fault. The condition monitoring of the wind turbine is realized. The effectiveness of the method is verified by using the actual fault data of a wind farm.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9091
      Issue No: Vol. 17, No. 1 (2018)
  • Time-Varying Linear Quadratic Regulator (TVLQR) for Uncertain Nonlinear
           Flight Control System

    • Authors: M. Fawzy Ahmed, H. T Dorrah
      Abstract: The aim of the paper is to control the path for nonlinear missile model in the pitch channel using time-varying linear quadratic regulator (TVLQR) control strategy and traditional PID controller. Linear time-varying (LTV) model for the nonlinear flying body is designed where their parameters are varied with time. The equations of motion for nonlinear flying body and LTV model are modeled mathematically in the Matlab-Simulink environment. PID gains with nonlinear flying body simulation are tuned by Simulink design optimization method and its response is compared with the response of the same PID gains with LTV model to ensure that LTV model is the closest with the nonlinear flying body. TVLQR optimal control is designed using time-varying parameters of LTV model by online calculation of Riccati Equation to get state feedback gain varying with time. TVLQR controller matrixes are tuned by Simulink design optimization method to get the optimum values that satisfy good tracking with step unit reference signal. TVLQR optimal control that is designed using LTV model is implemented with nonlinear flying body in the pitch channel. TVLQR controller is capable of recover for chains which they perform natural boundaries of actuators in pitch angle. The results of TVLQR and traditional PID controllers with the nonlinear flying body are compared and the wind effect is studied where wind velocity is summated to nonlinear flying body velocity.  The dynamic uncertainty and actuator uncertainty effects are researched by changing uncertainty percentage for dynamics and actuator then the results are compared. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9421
      Issue No: Vol. 17, No. 1 (2018)
  • Development of Low Cost Vehicle-Based Driving Simulator for Drowsiness

    • Authors: Ignatius Deradjad Pranowo, Dian Artanto, Muhammad Prayadi Sulistyanto
      Abstract: The purpose of this study was to develop a vehicle-based drowsiness detection system. The use of vehicle-based drowsiness detection systems aims to achieve effective drowsiness detection. We apply a drowsiness detection support system by placing the MPU sensor on the steering rod, gas pedal, and brake pedal. Drowsiness can be detected by comparing the position of the steering angle to the desired target angular position, especially when the difference in value of both is greater. Some sensors have been tested to obtain the actual steering angle position. From the test results, sensors that meet the criteria of accuracy and low cost is MPU6050 and HMC5883L. Both sensors have been implemented in the development of vehicle based drowsiness detection system, with sufficient results and low cost. Furthermore, the development of vehicle-based drowsiness detection system has been integrated with an interesting driving simulation software, which the end result has been able to show the actual condition of the steering position, the gas pedal and the brake pedal precisely on the computer screen. Moreover, this development opens opportunities to support the study of drowsiness detection using vehicle-based driving simulator. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9911
      Issue No: Vol. 17, No. 1 (2018)
  • Double Synchronous reference Frame PLL for distorted Grid Condition

    • Authors: K. Sridharan, V. Krithika, M.Mohamed Rabik, T. Muthuramalingam
      Abstract: The Grid side converter-interfaced distributed generation (DG) system, requires a fast and exact detection of phase and fundamental frequency of grid current in order to implement the control algorithm of power converters by generating reference currents signals. Moreover, a desired synchronization algorithm must detect the phase angle of the fundamental component of grid currents as fast as possible while adequately eliminating higher order harmonic components. This paper presents a grid synchronization algorithm for converter-interfaced DG systems based on Double Synchronous reference Frame Phase Locke Loop (DSRF PLL). The proposed DSRF PLL shows a robust phase tracking capability with fast transient response under abnormal grid conditions. The overall performance of studied DSRF PLL filtering is analysed and simulated using MATLAB Simulink the obtained results are compared to SRF PLL  method to confirm the feasibility of the study under various grid operation states such as high harmonic injection. 
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.9954
      Issue No: Vol. 17, No. 1 (2018)
  • Speed Limiter Integrated Fatigue Analyzer (Slifa): Engineering Design and

    • Authors: Hadi Pranoto, A.M. Leman Leman, fajar anggara
      Abstract:  The main issue in urban transportation system is accident which caused by several factors. Two factors that really induced the accident are overspeed and fatigue. Principle of speed limiter integrated analyzer (SLIFA) is to limit the speed by cutting off the fuel supply to the engine when driver's fatigue or speed are beyond limitation. This investigation explains the concept and design of SLIFA. Generally, there are four steps in this paper. Step 1 is study literature on two types of vehicle. Step 2, detail engineering design that is focused in this paper. Step 3 is describing the target of SLIFA installation. Step 4 is fabricating and testing for SLIFA. The result shows the voltage for speed at 70 km/h is 10.7 volt for the limited speed.  
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.8249
      Issue No: Vol. 17, No. 1 (2018)
  • Active SLAM-Based Mobile Olfactory Robot Navigation for Gas Distribution

    • Authors: Duddy Soegiarto, Bambang Riyanto Trilaksono, Widyawardana Adiprawita, Egi Muhammad Idris H
      Abstract: We address the problem of enabling a mobile olfactory robot to mapping gas distribution without predefined trajectories using active slam framework for unknown outdoor environment. On the hardware side, we use a stereo olfaction architecture fo gas measurement and mapping. Environmental mapping and navigation of robots using IMU, lidar, GPS, compass and anemometer. On the software side, we use the SLAM-Kernel DM+V algorithm to represent the occupancy grid and gas distribution grid maps as well as the localization of robots on the map. The online planning module is developed by integrating global planning and local planning. Global planning uses a combination of frontier based exploration and Closest Location-Information Gain (CL-IG) to generate global path planning. Sensor path planning and obstacles avoidance are local planning to control the navigation of robots when exploring to map contaminated environments. Sensor path planning developed from Bayesian adaptive exploration-based infotaxis for deal with exploration-exploitation. We use Vector Field Histogram (VFH) method for obstacle avoidance and local trajectory planning. Several methods have been simulated using ros and gazebo to determine the robot navigation performance.
      PubDate: 2018-08-10
      DOI: 10.12928/telkomnika.v17i1.10155
      Issue No: Vol. 17, No. 1 (2018)
  • Design and Analysis of broadband Elliptical Micro-strip Patch Antenna for
           Wireless Communication

    • Authors: Ali Khalid Jassim, Raad H. Thaher
      Abstract: In this paper presents the design and manufactured  of a new broadband elliptical patch antenna with microstrip feed line and optimum antenna  parameters. The antenna dimension of mm3 and fabricated on an FR-4 epoxy substrate having relative dielectric constant =4.3, loss tangent tan (δ) =0.002 and the feed line used has characteristic impedance of 50Ω.The designed antenna has the capability of operating in the bandwidth (6.95 - 30.94) GHz and the gain (6.8) dBi. The antenna performance was modified by inserting a slots in the ground plane to achieve impedance bandwidth (when S11  -10dB) and slots to patch to improve the gain. The modified antenna was designed to be used for fifth generation (5G) mobile communication. The simulation results are obtained using CST software.
      PubDate: 2018-08-05
      DOI: 10.12928/telkomnika.v17i1.9246
      Issue No: Vol. 17, No. 1 (2018)
  • Reactive Power Tracing Index LQP_LT for Voltage Unstable Load Bus
           Identification in Power Systems

    • Authors: Renuga Verayiah, Azah Mohamed, Syahirah Abd Halim
      Abstract: Existing power systems are significantly susceptible to voltage instability problem since such systems are stressed with the huge power transfers across the grids. To guarantee power system stability during stressed conditions, it is important to first identify the voltage unstable load buses to determine appropriate locations for under voltage load shedding. In this study, a new method is proposed for determining weak load bus locations by using reactive power tracing to develop a novel reactive power tracing capable index, named as LQP_LT.  The reactive power tracing algorithm is integrated with the LQP_LT index formulation to generate priority ranking list of weak load buses. The LQP_LT index was tested on the 57 bus system and the resulting priority ranking list is found to have successfully determined the weak load buses for load shedding in the test system. Comparison with other stability indices revealed that the LQP_LT has better sensitivity and response towards determining the location of the weakest load bus for under voltage load shedding implementation.
      PubDate: 2018-08-05
      DOI: 10.12928/telkomnika.v17i1.10253
      Issue No: Vol. 17, No. 1 (2018)
  • Fuzzy Particle Swarm Optimization Advantage Control Technical for Torpedo

    • Authors: Kien Xuan Dang
      Abstract: The torpedo is nonlinear control object which is very difficult to control. Via to manage the rudder angle yaw, the diving plane angle, and the fin shake reduction, the torpedo yaw horizontal, the depth vertical and roll damping of the system are controlled. In this paper, particle swarm optimization is used to optimize the parameters of fuzzy controller. The coverage domain width of membership function and the overlap degree influence of neighboring membership functions are considered in the method to adjust dynamically from system errors. Thereby optimizing the control signal and enhancing the torpedo motion quality. The proposed method results in a better performance compared to other control method such as adaptive fuzzy-neural. 
      PubDate: 2018-08-05
      DOI: 10.12928/telkomnika.v17i1.8979
      Issue No: Vol. 17, No. 1 (2018)
  • Decision Tree to Determine Students’ Criteria Choosing a Study

    • Authors: Deny Jollyta
      Abstract: Appropriate information about the criteria of students who choose a study program at a college can facilitate the socialization of relevant study program in the community and help policy-making related to the development of study program in the future. In this research, database of Informatics students is needed as samples. Through the database of Informatics students at a college, several criteria were selected to support data training using C4.5 Algorithm of Decision Tree techniques in data mining, such as gender, school origin, major at school and total test scores. The data will be trained to produce a decision tree that describes the criteria of students who choose the Informatics study program in the form of rule. The training results showed that there were seven rules that have been simplified through independent tests using chi-square with an error rate of 9.19%.
      PubDate: 2018-04-20
      DOI: 10.12928/telkomnika.v17i1.8037
      Issue No: Vol. 17, No. 1 (2018)
School of Mathematical and Computer Sciences
Heriot-Watt University
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