Jurnal Rekayasa elektrika
The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation, Medical Imaging Equipment and Techniques, Biomedical Imaging and Image Processing, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems; Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction, Electromagnetic Compatibility, High Voltage Insulation Technologies, High Voltage Apparatuses, Lightning Detection and Protection, Power System Analysis, SCADA, Electrical Measurements; Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services and Security Network; Control: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems; Computer and Informatics: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data), Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security, Human-Machine Interface, Stochastic Systems, Information Theory, Intelligent Systems, IT Governance, Networking Technology, Optical Communication Technology, Next Generation Media, Robotic Instrumentation, Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Signal and System: Detection, estimation and prediction for signals and systems, Pattern recognition and classification, Artificial intelligence and data analytics, Machine learning, Deep learning, Audio and speech signal processing, Image, video, and multimedia signal processing, Sensor signal processing, Biomedical signal processing and systems, Bio-inspired systems, Coding and compression, Cryptography, and information hiding
Articles
600 Documents
<![CDATA[Kajian Ekonomis Pembangkit Hybrid Renewable Energi Menuju Desa Mandiri Energi di Kabupaten Bone-Bolango ]]>
<![CDATA[Sabhan Kanata]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 11, No 3 (2015) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v11i2.2288
<![CDATA[Energy crisis due to extensive uses of fossil fuel and environmental issues caused by unsustainable uses of energy driving the world and Indonesian government to accelerate the usage of renewable energy such as hydro, wind and solar. One of the government approaches is to implement a program called Independent Energy Village (IEV). Hybrid Optimization Model for Electric Renewables (HOMER) serves to design a micropower systems and to facilitate the comparison between some of power generation technologies. Researcher models the power system based on the physical behavior and overall cost, which are the total cost of installation and operation of the system during operation of the system. HOMER allows researcher to compare various forms of system designs technically and economically. This research was conducted in the village of Lombongo, District Suwawa, in Bone-Bolango Gorontalo. Some of the modeling results showed that the combination of micro-hydro and solar power have the most favorable economic value if operated over 25 years with a Net Present Cost (NPC) is US$ -369,087.00 and a Level Cost of Energy (LCOE) of -0.106 US$/kWh below the level energy costs of PLN at 0.116 US$/kWh in whch made this hybrid plant is very competitive. The hybrid plant has micro-hydro generating capacity of 58,9 kW with annual production of 657,384 kW, while solar power plant with a production capacity of 15,7 kW per year 20.091 kW.]]>
<![CDATA[Fine Tuning CNN Pre-trained Model Based on Thermal Imaging for Obesity Early Detection ]]>
<![CDATA[Hendrik Leo]]>;
<![CDATA[Fitri Arnia]]>;
<![CDATA[Khairul Munadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i1.25100
<![CDATA[Obesity is a complex disease that causes serious impact health, such as diabetes mellitus, cardiovascular disease, cancer, and stroke. An early obesity diagnosis/ detection method is required to prevent the increasing number of obese people. This study aims to: (i) fine-tune the pre-trained Convolutional Neural Network (CNN) models to build an early detection of obesity and (ii) evaluate the model performance in terms of classifying performance, computation speed, and learning performance. The thermal images acquisition procedure was conducted with 18 normal subjects and 15 obese subjects to build a thermal images dataset of obesity. Pre-trained CNN models: VGG19, MobileNet, ResNet152V, and DenseNet201 were modified and trained using the acquired dataset as the input. The training results show that the DenseNet201 model outperformed other models regarding classifying accuracy: 83.33 % and learning performances. At the same time, the MobileNet model outperformed other models in terms of computation speed with training elapsed time: 12 seconds/epoch. The proposed DenseNet201 model was suitable for implementation as an early screening system of obesity for health workers or physicians. Meanwhile, the proposed MobileNet model was suitable for mobile applications' early detection/diagnosis of obesity.]]>
<![CDATA[Kajian Aspek Kecepatan dan Ketepatan pada Sun Tracker Dua Sumbu Berbasis Sensor Berbentuk Tetrahedron ]]>
<![CDATA[Saddam Azmi]]>;
<![CDATA[Yuwaldi Away]]>;
<![CDATA[Ira Devi Sara]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 15, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v15i2.13546
<![CDATA[The two-axis Sun tracker with the tetrahedron geometry that has been developed has an error percentage of 31.26% and a speed of 0.063 m/s. The value of the accuracy and speed is still considered low for tracking sunlight in open space conditions. The research aims to improve the accuracy and speed of the tetrahedron tracker sun. The method used to obtain tracking accuracy is to implement a control system that forms a tracking system using the proportional integral derivative (PID) control and modifies the sun's light by adding a sun tracker and laser to the top of the tetrahedron structure. In addition, the motor used to measure the state of the horizontal and vertical axes is the DC Stepper type. The results obtained indicate the level of accuracy of the modified sun tracker system is 0.650 on the X-axis and 0.540 on the Y-axis with a speed of 0.091 m / s. From these results, it can be concluded that the sun tracker modification is able to track sunlight properly with an average tracking error rate of 0.78% on the X-axis and 4.67% on the Y axis.]]>
<![CDATA[Analisa Masuknya Gardu Induk Anggrek dan Rekonfigurasi Jaringan Terhadap Kualitas Tegangan dan Rugi-rugi Daya (Studi Kasus PLN Rayon Kwandang Area Gorontalo) ]]>
<![CDATA[Muammar Zainuddin]]>;
<![CDATA[Luthfi Wiraputra]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 12, No 3 (2016) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v12i3.4234
<![CDATA[The quality of the overhead distribution voltage with a length of ± 190,57 kms, in the North Gorontalo district has not met the National Standard for the distribution voltage yet. This causes a voltage drop along the distribution line at 21% during the peak load and the power loss at 219 kW. This paper aims to find the best solution for improving the voltage quality of the distribution line to meet the standard operation voltage for the medium distribution line. The Newton-Raphson method is used to analyze the power flowing along the distribution line and the voltage at their buses. There are three scenarios purposed in this study. The first scenario is to uprate the conductor size (in LK. 01 feeder), the second scenario is to reconfigure the distribution network after the Anggrek Substation was connected to the system and the third scenario is to combine the first and the second scenarios, i.e. uprating conductors and reconfiguring the network. From the three scenarios, the results show that the first scenario has a voltage drop of 19,8%, the second scenario causes a voltage drop of 8,8% and the third scenario produces the voltage drop of 4,8%. Based on this results, it can be concluded that the third scenario can improve the line voltage much better than the other two scenarios with the power loss of up to 52,4 kW. The Entry of Anggrek Substation must accompany by conductor uprating in line distribution to reach limit voltage standard operation.]]>
<![CDATA[Solving Human Resources Management Of Construction Labors Using Mobile Community Network ]]>
<![CDATA[. Amalia]]>;
<![CDATA[. Roslidar]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 9, No 2 (2010) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v9i2.168
<![CDATA[A construction labor works on a project based on adetermined interval time. If the construction project is donethen the labor has to find another one. Based on theinterviews conducted to some construction labors in BandaAceh and Medan, they depend totally on the networking andfriendship among the labors in finding a project. sOn theother hand, the labors can survive only for seven days if he isnot working. The proposed solution is developing a jobsearch system for the construction labors using mobileapplication. This system is built using JavaME, RecordManagement Store (RMS) as the storage media, and ShortMessage Service (SMS) as the data connection. This systemapplies distributed system thus it will not cause the processbecomes slow because the limited memory of the cellularphone. This system provides the construction laborsspecification which is needed by the employer and the list ofconstruction labor specification. Job searching will beprocessed again once the labors done with a project. In thisway, the construction labors will continually contracted witha project. Using this system will solve the problem faced bythe construction labor in finding a project and finally achievetheir economis growth.]]>
<![CDATA[Deteksi Kantuk pada Pengemudi Berdasarkan Penginderaan Wajah Menggunakan PCA dan SVM ]]>
<![CDATA[Nur Ramadhani]]>;
<![CDATA[Suci Aulia]]>;
<![CDATA[Efri Suhartono]]>;
<![CDATA[Sugondo Hadiyoso]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i2.19884
<![CDATA[Drowsiness while driving is one of the main causes of traffic accidents it affects the level of focus of the driver. Therefore, we need an automatic drowsiness detection mechanism for the driver to provide a warning or alarm so that an accident can be avoided. In this study, we design and simulate a system to detect drowsiness through the driver’s yawn expression. The acquisition is made by recording the face from two shooting points including the dashboard and front mirrors in the car. From the video recording, then it is taken into several images with a size of 128x82 pixels which are used as training and testing data. This image is then processed using Principal Component Analysis (PCA) for feature extraction and classified using a Support Vector Machine (SVM). From the tests carried out, the system generates the highest accuracy of 98%. This best performance is obtained by SVM with polynomial kernel in the camera position on the dashboard. Meanwhile, based on compression testing, the image that can still meet system requirements is 25% of the original size. It is hoped that the proposed drowsiness detection method in this study can be applied for real-time drowsiness detection in vehicles. ]]>
<![CDATA[Pemantauan Energi Listrik pada Satu kWH-meter Fase Tunggal untuk Empat Kelompok Beban Berbasis Metode Payload Data Handling ]]>
<![CDATA[Suhendri Suhendri]]>;
<![CDATA[Arief Goeritno]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.11952
<![CDATA[A minimum system has been made for monitoring the electric energy in a single phase kWh-meter for four load groups based on the Data Handling Payload (PDH) method. The purpose of this study, namely to obtain an integrated system based on Arduino MEGA2560 R3 microcontroller and measurement of the system performance. Method of obtaining the system is carried out through (i) making boards for sensor modules and relays; (ii) making boards for module of the driving the system; (iii) wiring integration of a number of boards and modules; and (iv) programming against the microcontroller system assisted by the Arduino IDE based on the PDH method. Method of measuring the system performance is carried out through verification and validation tests. Sensors and relays module consist of a voltage sensor, four current sensors, four relays, and a supporting electronic circuit. The integration module of a number of pins is functioned as an integration of all pins associated with pins on the microcontroller system with regard to input and output. Programming the microcontroller system is based on the determination of algorithms and the preparation of syntax. The verification test assisted by the Proteus application is carried out in the form of simulation of the provision of artificial conditions in the form of the value of voltage, current, and the amount of time for the acquisition of energy values. Simulations are carried out on each path of the load group. A verification test is the determination of the linearity of current and voltage values. Based on the validation test, it is obtained the kWh values and the amount of electric energy costs (in rupiah) that are monitored at any time and can be printed every time or monthly.]]>
<![CDATA[Penerapan Algoritma HSV pada Autonomous Car untuk Sistem Self-Driving Berbasis Raspberry Pi 4 ]]>
<![CDATA[Florentinus Budi Setiawan]]>;
<![CDATA[Padang Ufqi Sutrisno]]>;
<![CDATA[Leonardus Heru Pratomo]]>;
<![CDATA[Slamet Riyadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 4 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i4.27495
<![CDATA[Perkembangan teknologi di sektor transportasi di masa ini semakin krusial. Sehingga perusahaan berinovasi menciptakan mobil yang dapat berjalan sendiri dengan tingkat keamanan yang tinggi. Pada penelitian ini, kami merancang sistem self-driving untuk mobil RC skala 1:10 menggunakan komponen utama berupa Raspberry Pi 4 sebagai pengolahan citra untuk kendali otomatis pada autonomous car. Untuk mengatur pergerakan roda belakang dan steering menggunakan motor DC. Penelitian ini menerapkan computer vision yang dipakai untuk sistem navigasi agar dapat berjalan sesuai dengan lintasan. Permasalahan yang dijumpai pada penelitian sebelumnya adalah masih mengambil sampel lintasan terlebih dahulu yang dirasa kurang efisien karena pada jalan yang belum diambil sampelnya tidak dapat dilalui robot tersebut. Untuk memecahkan permasalahan ini maka peneliti menerapkan algoritma HSV agar dapat mengikuti lintasan secara real-time. Algoritma HSV(hue, saturation, value) merupakan sistem untuk mendeteksi tepi garis lintasan dengan memproses gambar dari kamera Raspberry Pi. Dari hasil kalibrasi nilai threshold yang digunakan adalah sebesar Hmin = 135 dan Hmax = 179, Smin = 70 dan Smax = 255, dan nilai V sebesar Vmin = 53 dan Vmax = 106 agar dapat mendeteksi jalur lintasan secara jelas, baik di dalam ruangan maupun diluar ruangan, dan HSV toleran terhadap perubahan intensitas cahaya. Itulah keuntungan dari algoritma HSV. Berdasarkan hasil pengujian dan implementasi robot ini dengan menggunakan kecerdasan buatan dapat bekerja sesuai dengan algoritma yang sudah dibuat dengan tingkat akurasi deteksi jalur yang cukup tinggi.]]>
<![CDATA[Studi Pemanfaatan Relai Jarak Quadrilateral untuk Proteksi Saluran Distribusi dengan Pembangkit Tersebar ]]>
<![CDATA[Adrianti Adrianti]]>;
<![CDATA[Muhammad Nasir]]>;
<![CDATA[Muhammad Rivaldi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 2 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i2.15734
<![CDATA[Installation of distributed generations (DGs) in distribution network bring benefits for power system operation. However, DGs change the distribution network topologies from radial with one source into multi-sources network, hence magnitude and direction of the current will also change. Consequently, the existing distribution line protection i.e. current based protection, experience performances deterioration. To overcome this problem, distance relays, which work based on calculated impedance is proposed. However, since mho distance relays fail to detect faults through resistance in previous research, quadrilateral characteristic of distance relay is chosen. Quadrilateral distance relays have separate setting for reach and resistance; hence it is expected it will accommodate fault resistance. Therefore, this research aims to identify the performance of quadrilateral distance relay in protecting distribution lines that having DG. The research method is computer simulation where quadrilateral distance relays performance is tested for various faults and system conditions in a test system. The software for the simulation is Digsilent Power factory. The results conclude that the quadrilateral distance relays experienced failures to detect faults in correct zone operation due to a weak source of DG. DG generates less fault current, as consequences, the relays see large impedances. ]]>
<![CDATA[Sistem Otomatisasi Pembersihan Kotoran dan Pengaturan Suhu Kandang Kelinci Berbasis Arduino Mega2560 ]]>
<![CDATA[Eko Didik Widianto]]>;
<![CDATA[Mahfudhotul Khasanah]]>;
<![CDATA[Agung Budi Prasetijo]]>;
<![CDATA[Risma Septiana]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 3 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i3.8422
<![CDATA[The environmental factor of the cage affects the rabbit breeding. The more rabbits, the more efficient cage cleaning needs to be done. This research resulted in an automation system prototype of dirt cleaning and temperature control of rabbit cage using Arduino Mega 2560 board. The system was capable of monitoring and controlling the cage temperature of 26-36 ° C using DHT11 temperature sensor, heating, and cooling actuators. The system performed the cage manure cleaning by controlling the motion of the servo motor after processing the input from the load cell weight sensor with the capability of 5 kg. Dirt cleaning is done if the weight of the dirt is above 1000 gram. This research also applied linearization to produce temperature and weight conversion equations which yielded more accurate reading values. The temperature readings had an accuracy of ± 1 ° C, while the load cell weight reading had an accuracy of 0.05% or 2 grams.]]>
