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Jurnal Rekayasa Elektrika
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  This is an Open Access Journal Open Access journal
ISSN (Print) 1412-4785 - ISSN (Online) 2252-620X
Published by Universitas Syiah Kuala Homepage  [18 journals]
  • Halaman Depan Vol.14, No.1, April 2018

    • Authors: Jurnal Rekayasa Elektrika
      Abstract: Halaman depan dari Vol. 14, No.1, April 2018
      PubDate: 2018-05-05
      Issue No: Vol. 14, No. 1 (2018)
  • Desain Power System Stabilizer Berbasis Fuzzy Tipe-2 untuk Perbaikan
           Stabilitas Mesin Tunggal

    • Authors: I Made Ginarsa, Agung Budi Muljono, I Made Ari Nrartha, Osea Zebua
      Pages: 1 - 8
      Abstract: The growth of type-2 fuzzy logic system is penetrating electric power system field, especially on electric power system control sub-field in order to simplify the design of power system stabilizer (PSS). Traditionally, the function of conventional PSS is to damp rotor oscillation when a disturbance occurred due to transmission configuration or/and loading changes. However, the response of conventional PSS is slow with long settling time and high peak overshoot. To cover this problem, PSS based on type-2 fuzzy logic system (PFT2) is proposed. Simulation results show that the PFT2 is able to improve the stability of a single machine with 3 scenarios on transmission configuration and loading variation. The PFT2 gives shorter settling time for all scenarios and loading variation than the settling time of conventional PSS. Also, the peak overshoot of the PFT2 is smaller than the peak overshoot of the other competing PSS.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.8464
      Issue No: Vol. 14, No. 1 (2018)
  • Rancang Bangun Smart Energy Meter Berbasis UNO dan Raspberry Pi

    • Authors: Agung Budi Muljono, I Made Ari Nrartha, I Made Ginarsa, I Made Budi Suksmadana
      Pages: 9 - 18
      Abstract: Smart energy meter (SEM) is developed to the transparency goal of energy consumption by consumers for tariff strategy. The tariff strategy is designed based on the type of consumer load that per-kWh energy price difference for linear and nonlinear loads. Energy conscious awareness is built by displaying all load power consumption information from consumer loads such as voltage, current, power factor, load properties, load type, power, volt-ampere distortion, power factor distortion, THD, current and voltage waveforms, and harmonic frequency spectrum. The SEM is designed using ZMCT103C and ZMPT101B for current and voltage sensors, respectively. The SEM security function uses the SW420 vibrating sensor, open/close bolt sensor on the chasing and electronic lock. The results show that error measurement of the voltage sensor, current sensor, and power factor are 0.8%, 1.5%, and 1.0% respectively. The SEM security works well as the information on maintenance and criminal actions are informed on screen and buzzer sound for criminal acts. The tariff strategy for linear and nonlinear loads is used to calculate the energy cost per-kWh. The details of load energy consumption are stored in a database.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.8718
      Issue No: Vol. 14, No. 1 (2018)
  • Pengenalan Karakter Plat Nomor Kendaraan Bermotor Menggunakan Zoning dan
           Fitur Freeman Chain Code

    • Authors: Taufik Fuadi Abidin, Abbas Adam AzZuhri, Fitri Arnia
      Pages: 19 - 25
      Abstract: A license plate is one of the vehicle identities. It consists of alphabetic characters and numbers and represents provincial and area code where the vehicle is registered. This article discusses the character recognition of plate number using zoning and Freeman Chain Code (FCC). Zoning divides character image into several zones i.e. 4, 6, and 8, and then, the pattern of each character in the zone is extracted using FCC as the numerical features. The character is then classified using Support Vector Machines (SVM). It is a multi-class classification problem with 36 categories. The results show that FCC features with 8 zones give the best accuracy (87%) when compared to the other two zones.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.8932
      Issue No: Vol. 14, No. 1 (2018)
  • Simulasi Pelacakan Titik Daya Maksimum Modul Surya dengan Metode Grey Wolf

    • Authors: Rizki Faulianur, Ira Devi Sara, Fitri Arnia
      Pages: 26 - 34
      Abstract: The photovoltaic module has a nonlinear current and voltage characteristic curve where there is a maximum power point to be tracked to avoid wasted energy. Some methods for tracking the maximum power points have been developed such as perturb and observe (P& O), Incremental Conductance (IC), and Hill Climbing (HC). However, those methods were not so accurate to find the maximum power point and they were also slow to respond the changes in solar radiation and temperature. To overcome the shortcomings of the method, a new optimization approach was developed. This method is called Gray Wolf Optimization (GWO). It work based on the wolf behavior in capturing the prey. In this study, it will be determined to what extent the GWO method can track the maximum working point of solar modules that undergo changes in radiation and working temperature quickly and accurately. This research was conducted by simulation using Matlab/Simulink by comparing the extract of power GWO method with its power characteristics. The results obtained by the GWO method trace maximum power with an average accuracy rate of 99.14 % with time less than 0.1 second. From this data, it can be concluded that the GWO method successfully responds well and accurately to changes in radiation and temperature.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.8973
      Issue No: Vol. 14, No. 1 (2018)
  • Perbandingan Metode Klaster dan Preprocessing Untuk Dokumen Berbahasa

    • Authors: Amalia Amalia, Maya Silvi Lydia, Siti Dara Fadilla, Miftahul Huda
      Pages: 35 - 42
      Abstract: Clustering is an unsupervised method to group multiple objects based on the similarity automatically. The quality of clustering accuracy is determined by the number of similar objects in a correct cluster group. The robust preprocessing process and the choice of cluster algorithm can increase the efficiency of clustering. The objective of this study is to observe the most suitable method to cluster document in Bahasa Indonesia. We performed tests on several cluster algorithms such as K-Means, K-Means++ and Agglomerative with various preprocessing stages and collected the accuracy of each algorithm. Clustering experiments were conducted on a corpus containing 100 documents in Bahasa Indonesia with a commonly used preprocessing scenario. Additionally, we also attach our preprocessing stages such as LSA function, TF-IDF function, and LSA / TF-IDF function. We tested various LSA dimension reductions values from 10% to 90%, and the result shows that the best percentage of reduction rates between 50%-80%. The result also indicates that K-Means++ algorithm produces better purity values than other algorithms.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.9027
      Issue No: Vol. 14, No. 1 (2018)
  • Prototipe Robot Kapal Pengukur Tingkat PH dan Turbiditas Air Berbasis
           Metode Modified Fuzzy

    • Authors: Firman Al Rahmat, Unang Sunarya, Rohmat Tulloh
      Pages: 43 - 50
      Abstract: The quality of lake or pond water is usually determined through testing of several water samples in the laboratory. This certainly takes time especially when the place of measurement is wide enough. This research designed a water quality gauge control based on the Modified Fuzzy method and equipped with pH sensors and turbidity sensors to measure the potential of Hydrogen (pH) and turbidity of water. The Graphical User Interface (GUI) on a laptop was used to control the ship manually and display the measurement results. Wireless control through Bluetooth communication was used to set up the two DC motor as the driving force of the ship. The modified Fuzzy method was used to divide water quality into 3 categories that are good, not good, and poor. The test results proved that every command on the GUI can be run by the ship and the measurement results can be displayed directly to the user. The maximum distance measurement using Bluetooth was 28 meters. The pH sensors and turbidity sensors were able to measure at any specified location point. The pH value of lake water was measured at each point varies from 6.5 to 8, while the measured turbidity values ranged from 5 NTU (Nephelometric Turbidity Unit) to 49 NTU.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.9771
      Issue No: Vol. 14, No. 1 (2018)
  • Penerapan Embedded System pada Sistem Pintar Pengendali Multi Perangkat
           dalam Kelas berbasis Intel Galileo dan Web

    • Authors: Silfia Rifka, Firdaus Firdaus, Waldito Febri Ramadhan
      Pages: 51 - 61
      Abstract: Smart systems are widely used in smart building, smart home, smart car, smart class, and others. The smart system in this paper is the result of research, exploit module microcontroller Intel Galileo technology and the Internet of Things (IoT) as a controller, which controlled devices connected to the system remote control from a web-based accessible via smart devices (smartphones, tablets, and laptops). Intel Galileo is a microcontroller module that combines a mini computer and Arduino is open source and supports IOT technology and the web. Web selection as a remote control in this research to facilitate system users to be able to control the system remotely by using the existing browsers on smart devices although the operating system is different. The devices controlled in this system are the LED (on-off automatically and setting the intensity of light), air conditioning (on-off automatically, temperature settings), a projector (on-off), and the IP camera (moved up, down, left and right) to monitor the room. All controlled embedded devices to facilitate the control and effective use of smart controllers resulting in a centralized system for multi-devices in the classroom to realize the smart class.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.9790
      Issue No: Vol. 14, No. 1 (2018)
  • Sistem Pengenalan Wajah dengan Algoritma Haar Cascade dan Local Binary
           Pattern Histogram

    • Authors: Sayeed Al-Aidid, Daniel Pamungkas
      Pages: 62 - 67
      Abstract: Recently, the applications of face recognition are increasing significantly. Some methods have already been tried, but the results have not optimal yet. This paper tries to overcome this problem, using haar cascade as face detection algorithm, whereas face recognition uses local binary pattern histogram method. This system uses a webcam as a camera and programming exploit OpenCV library. This system enables to differentiate the face of the human with others objects with the best range from the camera to the object is 50 cm until 150 cm. In addition, this system is capable to recognize faces from the 6 subjects of faces listed in the database, alone and in a group as well in one frame.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.9799
      Issue No: Vol. 14, No. 1 (2018)
  • Penerapan Modul Surya sebagai Receiver Sistem Visible Light Communication
           (VLC) untuk Pengiriman Sinyal Audio

    • Authors: Budiyawan Naztin, Tri Nopiani Damayanti, Sugondo Hadiyoso
      Pages: 68 - 74
      Abstract: A solar module as a collector of sunlight that will be converted into electrical energy, so far only used for various applications of renewable energy technology. This research proposes and demonstrates the application of solar module as receiver of Visible Light  Communication System (VLC) as well as collecting energy at the same time. Using a solar module as a receiver causes the receiver does not require an external voltage source. This study tested the acoustic audio signal transmitted through the VLC system to be received by the solar module as a receiver. The results show that the transmitted audio signal has a signal change as a result of the magnitude/amplitude whose value changes with time. The change of voltage level over time causes the LED emission to have different light intensity. Maximum distance of the signal can be transmitted well at a distance of 120 cm at 656 mV voltage with a light intensity of environmental lighting test of 265 Lx. The maximum angle of the signal can be transmitted well at an angle of 20o at a voltage of 190 mV with a light intensity of the test environment light of 265 Lx. The change in voltage values is affected by the LED emission and the light intensity of the test environment light received by the solar module as a receiver. Testing indicates that the audio signal remains well transmitted even though the light energy received by the solar module is in maximum condition.
      PubDate: 2018-04-27
      DOI: 10.17529/jre.v14i1.9800
      Issue No: Vol. 14, No. 1 (2018)
  • Rancang Bangun Alat Penerjemah American Sign Language (ASL) dengan Sensor
           Flex dan MPU- 6050 Berbasis Mikrokontroler ATmega2560

    • Authors: Agung Budi Prasetijo, Muhamad Y. Dias, Dania Eridani
      Pages: 75 - 82
      Abstract: Deaf or hard-of-hearing people have been using The American Sign Language (ASL) to communicate with others. Unfortunately, most of the people having normal hearing do not learn such a sign language; therefore, they do not understand persons with such disability. However, the rapid development of science and technology can facilitate people to translate body or part of the body formation more easily. This research is preceded with literature study surveying the need of sensors embedded in a glove. This research employs five flex sensors as well as accelerator and gyroscope to recognize ASL language having similar fingers formation. An Arduino Mega 2560 board as the central controller is employed to read the flex sensors’ output and process the information. With 1Sheeld module, the output of the interpreter is presented on a smartphone both in text and voice. The result of this research is a flex glove system capable of translating the ASL from the hand formation that can be seen and be heard. Limitations were found when translating sign for letter N and M as the accuracy reached only 60%; therefore, the total performance of this system to recognize letter A to Z is 96.9%.
      PubDate: 2018-05-02
      DOI: 10.17529/jre.v14i1.9801
      Issue No: Vol. 14, No. 1 (2018)
School of Mathematical and Computer Sciences
Heriot-Watt University
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