Journal Cover Indonesian Journal of Computing and Cybernetics Systems
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  This is an Open Access Journal Open Access journal
   ISSN (Print) 1978-1520 - ISSN (Online) 2460-7258
   Published by Universitas Gadjah Mada Homepage  [27 journals]
  • Case-Based Reasoning untuk Diagnosis Penyakit Jantung

    • Authors: Eka Wahyudi, Sri Hartati
      Pages: 1 - 10
      Abstract: Case Based Reasoning (CBR) is a computer system that used for reasoning old knowledge to solve new problems. It works by looking at the closest old case to the new case. This research attempts to establish a system of CBR  for diagnosing heart disease. The diagnosis process  is done by inserting new cases containing symptoms into the system, then  the similarity value calculation between cases  uses the nearest neighbor method similarity, minkowski distance similarity and euclidean distance similarity.            Case taken is the case with the highest similarity value. If a case does not succeed in the diagnosis or threshold <0.80, the case will be revised by experts. Revised successful cases are stored to add the systemknowledge. Method with the best diagnostic result accuracy will be used in building the CBR system for heart disease diagnosis.            The test results using medical records data validated by expert indicate that the system is able to recognize diseases heart using nearest neighbor similarity method, minskowski distance similarity and euclidean distance similarity correctly respectively of 100%. Using nearest neighbor get accuracy of 86.21%, minkowski 100%, and euclidean 94.83%
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.15523
      Issue No: Vol. 11, No. 1 (2017)
  • Aplikasi Rekomendasi Tempat Makan Menggunakan Algoritma Slope One pada
           Platform Android

    • Authors: Dharma Pratama, Seng Hansun
      Pages: 11 - 20
      Abstract:  Food is one of the basic needs for human being. The needs of food will always increase unanimous with the number of people, so that many restaurants appear. Because of there are so many restaurants, it can arise a confusion when we want to choose a restaurant to eat. Therefore, an application which can give a restaurant recommendation will be built in this research. The recommendation given by the system is calculated using Slope One algorithm and the restaurants database is gathered from Google Places API. Slope One algorithm make the recommendation by summing the rating of a restaurants with the difference average to other restaurants. The application also had been tested to the user by using J.R.Lewis questionnaire with questions categories of application usefulness, information quality, and user interface quality. The results from the testing are user find the application useful to give the proper restaurant recommendation, the information quality is good, and the user interface quality is also good.
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.15558
      Issue No: Vol. 11, No. 1 (2017)
  • Analisis Perbandingan Algoritma Perencanaan Jalur Robot Bergerak Pada
           Lingkungan Dinamis

    • Authors: Tonny Suhendra, Tri Kuntoro Priyambodo
      Pages: 21 - 30
      Abstract: Development of technology and complexity of an environment (dynamic environtment), the use of algorithms in path planning becomes an important thing to do, problem to be solved by the path planning is safe patch (collision-free), second is the distance traveled, ie, the path length is generated from the robot start position to the current target position and the thirdtravel time, ie, the timerequired by the robot to reached its destination.this research uses ACO algorithm and A-star Algorithm to determine the influence of obstacles (simple environment) and also differences in the pattern of the target motion (linier and sinusoidal)on the ability of the algorithm in pathplanning for finding the shortest path. The test results show that for a simple environtment where the state of target and obstacles still static,the resukt that A-star algorithm is betterthan ACO algorithm both in terms of travel time and travel distance. Testing with no obstacles, seen from the distance travelled differences obtained of 0,57%, whereas for testing with obstacles difference of 9%. Testing in a complex environtment where the targets and obstacles which movesdinamically with a certain pattern, from the three environmental conditions that has been tested, ACO algorithm is better than A-star algorithm where the ACO algorithm can find a path with optimal distance or the sortest distance.
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.15743
      Issue No: Vol. 11, No. 1 (2017)
  • Pemanfaatan Algoritma WIT-Tree dan HITS untuk Klasifikasi Tingkat
           Keberhasilan Pemberdayaan Keluarga Miskin

    • Authors: Siti Khomsah, Edi Winarko
      Pages: 31 - 42
      Abstract: The successful rate of the poor families empowerment can be classified by characteristic patterns extracted from the database that contains the data of the poor families empowerment. The purpose of this research is to build a classification model to predict the level of success from poor families, who will receive assistance empowerment of poverty.   Classification models built with WARM, which is combining two methods, they are HITS and WIT-tree. HITS is used to obtained the weight of the attributes from the database. The weights are used as the attributes’s weight on methods WIT-tree. WIT-tree is used to generate the association rules that satisfy a minimum weight support and minimum weight confidence. The data used was 831 sample data poor families that divided into two classes, namely poor families in the standard of "developing" and poor families in the level of "underdeveloped".               The performance of classification model shows, weighting attribute using HITS approaches the accuracy of 86.45% and weighted attributes defined by the user approaches the accuracy of 66.13%. This study shows that the weight of the attributes obtained from HITS is better than the weight of the attributes specified by the user.
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.15927
      Issue No: Vol. 11, No. 1 (2017)
  • Klasifikasi Nilai Kelayakan Calon Debitur Baru Menggunakan Decision Tree

    • Authors: Bambang Hermanto, Azhari SN
      Pages: 43 - 54
      Abstract: In an effort to improve the quality of customer service, especially in terms of feasibility assessment of borrowers due to the increasing number of new prospective borrowers loans financing the purchase of a motor vehicle, then the company needs a decision making tool allowing you to easily and quickly estimate Where the debtor is able to pay off the loans.This study discusses the process generates C4.5 decision tree algorithm and utilizing the learning group of debtor financing dataset motorcycle. The decision tree is then interpreted into the form of decision rules that can be understood and used as a reference in processing the data of borrowers in determining the feasibility of prospective new borrowers. Feasibility value refers to the value of the destination parameter credit status. If the value of the credit is paid off status mean estimated prospective borrower is able to repay the loan in question, but if the credit status parameters estimated worth pull means candidates concerned debtor is unable to pay loans..System testing is done by comparing the results of the testing data by learning data in three scenarios with the decision that the data is valid at over 70% for all case scenarios. Moreover, in generated tree  and generate rules takes fairly quickly, which is no more than 15 minutes for each test scenario
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.15946
      Issue No: Vol. 11, No. 1 (2017)
  • Sistem Pendukung Keputusan Kelompok Pemilihan Tempat PKL mahasiswa dengan
           Menggunakan Metode AHP dan Borda

    • Authors: Dirja Nur Ilham, Sri Mulyana
      Pages: 55 - 66
      Abstract: The right Placement Job Training (PKL) selection for the students is a very important thing, because it can maximize the abilities and talents of each student so that can produce graduates who are ready to compete in the world of work. The most common problem of PKL selection is the lack of competence in terms of the needs of the company, as well as the needs of students will be on PKL place selection. To overcome these problems required a computer system in the form of group decision support systems (GDSS) who can help South Aceh Polytechnic for the selection of the right vendors for students.       In this study, Group decision support system developed by using AHP (Analytical Hierarchy Process) and Borda for group decision-making. AHP method is used to determine the weights of criteria and sub-criteria of each company where PKL alternative to alternative perangkingan company for each student from each of the decision makers. Borda method used for incorporation gradement results obtained by each decision maker so getting rank final and decisive recommendations PKL student places.            Based on the outcome of a group decision support system in the form of a rank of criteria values of students to alternative company where PKL placement selection. And alternative companies that get the highest yield serve as recommendations PKL student placement decisions for computer engineering department Polytechnics South Aceh.
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.16595
      Issue No: Vol. 11, No. 1 (2017)
  • SMS and Web-Based e-Government Model Case Study: Citizens Complaints
           Management System at District of Gihosha –Burundi

    • Authors: Mugenzi Thierry, Tri Kuntoro Priyambodo
      Pages: 67 - 76
      Abstract: E-Government basically comprises the use of electronic communications technologies such as the internet, in enhancing and advancing the citizens access to public services. In most developing countries including Burundi, citizens are facing many difficulties for accessing public services. One of the identified problems is the poor quality of service in managing citizens’ complaints. This study proposes an SMS and web based e-Government Model as a solution. In this study, a case study of a complaint management system at District of Gihosha has been used as a reference to prove that SMS and Web based e-Government Model can enhances the access of public services. The objective of this study is the development of an SMS and web-based system that can enhances the process and the management of citizens’ complaints at District of Gihosha. The system has been developed using PHP as front end, Apache as web server, MySQL as Database and Gammu as SMS gateway. The obtained results after testing the system shows that all the functionalities of the developed system worked properly. Thus, the SMS and web based complaint management system developed is considered to be effective.
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.17167
      Issue No: Vol. 11, No. 1 (2017)
  • SPK Rekomendasi Pemilihan Kandidat Pejabat Struktural Menggunakan Metode
           Profile Matching (Studi Kasus: Pemerintah Kota Tarakan)

    • Authors: Ria Astriratma, Retantyo Wardoyo, Aina Musdholifah
      Pages: 77 - 88
      Abstract: Through the State Civil Apparatus Law, the Government attempt to reduce nepotism by creating an open competition system among civil servants in the process of filling positions. Regional Civil Service Agency (BKD) Tarakan already has personnel database and decision support system that can combine the existing database with the scoring model to get the candicate profile who fit with vacant positions is needed to support more objective performance.The Application of profile matching method in this decision support system is expected to help the candidate selection process on structural officer in the Government of Tarakan comply with the ability of a required field in a position. From the research we concluded that the change in the value of the candicate profile, and the number of subcriteria that used to categorize the positions can affect the closeness of candidates with vacant position and the use of profile matching method for case that the highest value is the best value requires that the ideal value used is the value the maximum in order to avoid exceeding the expectations of ideal. 
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.17342
      Issue No: Vol. 11, No. 1 (2017)
  • Deteksi Perubahan Citra Pada Video Menggunakan Illumination Invariant
           Change Detection

    • Authors: Adri Priadana, Agus Harjoko
      Pages: 89 - 98
      Abstract:  There is still a lot of juvenile delinquency in the middle of the community, especially people in urban areas, in the modern era. Juvenile delinquency may be fights, wild racing, gambling, and graffiti on the walls without permission. Vandalized wall is usually done on walls of office buildings and on public or private property. Results from vandalized walls can be seen from the image of the change between the initial image with the image after a motion.This study develops a image change detection system in video to detect the action of graffiti on the wall via a Closed-Circuit Television camera (CCTV) which is done by simulation using the webcam camera. Motion detection process with Accumulative Differences Images (ADI) method and image change detection process with Illumination Invariant Change Detection method coupled with image cropping method which carried out a comparison between the a reference image or image before any movement with the image after there is movement.Detection system testing one by different times variations, ie in the morning, noon, afternoon, and evening. The proposed method for image change detection in video give results with an accuracy rate of 92.86%.
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.17526
      Issue No: Vol. 11, No. 1 (2017)
  • Klasifikasi Belimbing Menggunakan Naïve Bayes Berdasarkan Fitur Warna

    • Authors: Fuzy Yustika Manik, Kana Saputra saragih
      Pages: 99 - 108
      Abstract: Post harvest issues on star fruit are produced on a large scale or industry is sorting. Currently, star fruit classified by rind color analysis visually human eye. This method does not effective and inefficient. The research aims to classify the starfruit sweetness level by using image processing techniques. Features extraction used is the value of Red, Green and Blue (RGB) to obtain the characteristics of the color image. Then the feature extraction results used to classify the star fruit with Naïve Bayes method. Starfruit image data used 120 consisting of 90 training data and 30 testing data. The results showed the classification accuracy using RGB feature extraction by 80%. The use of RGB as the color feature extraction can not be used entirely as a feature of the image extraction of star fruit.
      PubDate: 2017-01-31
      DOI: 10.22146/ijccs.17838
      Issue No: Vol. 11, No. 1 (2017)
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
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Fax: +00 44 (0)131 4513327
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