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
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<![CDATA[Rancang Bangun Alat Ukur Ankle Brachial Indeks Untuk Deteksi Peripheral Artery Disease ]]>
<![CDATA[Rika Wahyuni Arsianti]]>;
<![CDATA[Sardina Sardina]]>;
<![CDATA[Fairul Fairul]]>;
<![CDATA[Irfan Irfan]]>;
<![CDATA[Mulyadi Mulyadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.17877
<![CDATA[Abstract—ABI measurements are performed to detect PAD. ABI measurements are essential because, generally, patients are not aware of having PAD due to no significant signs and symptoms. Type 2 Diabetes Mellitus Patients tend to have PAD, which increases the risk of cardiovascular and mortality. Therefore, the measurement of ABI regularly is needed to prevent PAD. Early detection and regular monitoring of PAD by measuring ABI can avoid foot complications, such as injuries, gangrene, and amputation. The standard method to measure ABI is using Doppler. Unfortunately, not all health care providers have Doppler because it is an expensive instrument and relatively difficult to use. The purpose of this study is to design a simple and easy Prototype to measure ABI by using pressure sensors. Two pressure sensors measure the systole of blood pressure in the arm and leg to get the ABI. This study’s sample is 20 people consisting of 10 healthy people and ten diabetes mellitus patients. The result shows the ABI prototype has an error of 0.53% with an accuracy rate of 99.47%. It is indicated that the ABI prototype can be used for diagnosing PAD.]]>
<![CDATA[Kontrol Tegangan pada Sistem Hybrid Panel Surya-Turbin Angin Menggunakan Manajemen Penyimpanan Baterai ]]>
<![CDATA[Soedibyo Soedibyo]]>;
<![CDATA[Rezi Delfianti]]>;
<![CDATA[Feby Agung Pamuji]]>;
<![CDATA[Mochamad Ashari]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.16010
<![CDATA[The purpose of this paper is to determine the control strategy of the renewable energy systems of hybrid solar panel power and wind turbines in maximizing voltage balance. The voltage control strategy needs to be designed, mainly when different load changes occur. If it is not done, it will affect the balance of power supplied to the load and usually damage the equipment used. Solar and wind energy sources significantly influence the stability of the applied voltage’s quality due to the fluctuating nature of renewable energy. This paper proposes control strategies for the use of PIs and the signal conditioning devices that are modified using the battery charging and discharging modeling while taking into account battery lifetime using PSIM software so that optimal voltage results from hybrid solar panel and wind turbine systems are obtained. The battery will be used as energy storage when the hybrid output power is over, which will then be used again when the hybrid output power is less than the load requirement. The signal conditioning device in this study uses five power converters, one AC to DC converter, two DC-DC boost converters, one bidirectional converter, 1 DC-AC bidirectional converter. Maximum output power uses MPPT, which is applied to the boost converter, whereas to regulate the voltage through charging and discharging the battery through the bidirectional buck-boost converter. This strategy provides the appropriate voltage on the AC side.]]>
<![CDATA[Analisis Performa Link Stability dari Faktor Kecepatan untuk Dinamisasi Zona pada Zone Routing Protocol ]]>
<![CDATA[Muhsin Bayu Aji Fadhillah]]>;
<![CDATA[Radityo Anggoro]]>;
<![CDATA[Arif Mudi Priyatno]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.16502
<![CDATA[Zone dynamization is carried out in the Zone Routing Protocol to allow the adaptation of the routing protocol to VANET network conditions. Zone dynamization is accomplished by periodically updating the radius within a configured time period. The value of link stability from the factors that influence network conditions is used as a reference in the radius value’s renewal process. From the test and simulation results, speed is the most dominant factor in link stability composition. Comparison between ZRP and zone dynamics against traditional ZRP shows better performance than ZRP with zonal dynamics when measured from metric analysis of packet delivery ratio, delay, and routing overhead. The increase in ZRP performance can occur because the zoning dynamics carried out make ZRP more adaptive to network conditions so that it does not work too proactively or reactively. ]]>
<![CDATA[Implementasi Fuzzy Logic Untuk Identifikasi Jenis Gangguan Tegangan Secara Realtime ]]>
<![CDATA[Ahmad Alvi Syahrin]]>;
<![CDATA[Dimas Okky Anggriawan]]>;
<![CDATA[Eka Prasetyono]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.17692
<![CDATA[In the modern era, AC voltage variations are still often a problem. This variation causes power quality decrease even damage the equipment. Voltage variations that often occur are short and long duration. The variation consist of 6 types namely Interruption, Sag, Swell, Sustained-Interruption, Undervoltage, Overvoltage. To facilitate repairs when there is a voltage variation in the electric power system, it is necessary to have an identification that can detect and distinguish any interference that occurs. Therefore, this paper proposes a fuzzy logic method for identifying types of voltage variations. This type of voltage variation identifier requires a disturbance simulator as a voltage source with varying values. To distinguish between short duration and long duration disturbances, is the time duration of the disturbance appears. The design of the voltage variation identification algorithm uses the sugeno fuzzy inference system with 2 inputs namely magnitude vrms and timer, and 1 output is the type of voltage interference. Moreover, prototype design using AMC1200 voltage sensor, microcontroller, and display. To validate the proposed algorithm, compared with standard measuring tools and simulations. Results show that the proposed algorithm has a very good performance with an accuration compared to the standard measuring instrument of 99.8%.]]>
<![CDATA[Analisis Pengaruh Waktu Latensi Terhadap Akurasi Sistem SCADA Bacaan Metering Listrik Waktu Nyata Melalui Jaringan Internet ]]>
<![CDATA[Endra Joelianto]]>;
<![CDATA[Fuady Ramdhani]]>;
<![CDATA[Eko Mursito Budi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.16465
<![CDATA[SCADA (Supervisory Control and Data Acquisition) system of electricity metering using the internet network aims to monitor electrical energy remotely by utilizing internet services. The system consists of a meter that measures electric quantities acquired by a server located close to the meter. The client reads data acquired by the server through the internet network. The use of internet networks for data transmission generally results in latency time, which affects the validity of the data read by the client, resulting in reduced cumulative power calculation accuracy. In this article, energy calculations using current, voltage and power factor data on the client are compared with the energy value calculated by the power meter. Errors that occur are used to calculate the accuracy of the system. The experiment resulted in latency times ranging from 110 ms - 11219 ms with an average of 572.3025 ms with valid data ranging from 93% of population data and accuracy values ranging from 99.2974% to 99.8648%. The resulting accuracy is within the ANSI C12.20 standard. ]]>
<![CDATA[Rancang Bangun Alat Ukur Ankle Brachial Indeks Untuk Deteksi Peripheral Artery Disease ]]>
<![CDATA[Rika Wahyuni Arsianti]]>;
<![CDATA[Sardina Sardina]]>;
<![CDATA[Fairul Fairul]]>;
<![CDATA[Irfan Irfan]]>;
<![CDATA[Mulyadi Mulyadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.17877
<![CDATA[Abstract—ABI measurements are performed to detect PAD. ABI measurements are essential because, generally, patients are not aware of having PAD due to no significant signs and symptoms. Type 2 Diabetes Mellitus Patients tend to have PAD, which increases the risk of cardiovascular and mortality. Therefore, the measurement of ABI regularly is needed to prevent PAD. Early detection and regular monitoring of PAD by measuring ABI can avoid foot complications, such as injuries, gangrene, and amputation. The standard method to measure ABI is using Doppler. Unfortunately, not all health care providers have Doppler because it is an expensive instrument and relatively difficult to use. The purpose of this study is to design a simple and easy Prototype to measure ABI by using pressure sensors. Two pressure sensors measure the systole of blood pressure in the arm and leg to get the ABI. This study’s sample is 20 people consisting of 10 healthy people and ten diabetes mellitus patients. The result shows the ABI prototype has an error of 0.53% with an accuracy rate of 99.47%. It is indicated that the ABI prototype can be used for diagnosing PAD.]]>
<![CDATA[Kontrol Tegangan pada Sistem Hybrid Panel Surya-Turbin Angin Menggunakan Manajemen Penyimpanan Baterai ]]>
<![CDATA[Soedibyo Soedibyo]]>;
<![CDATA[Rezi Delfianti]]>;
<![CDATA[Feby Agung Pamuji]]>;
<![CDATA[Mochamad Ashari]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
Show Abstract
|
Download Original
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Original Source
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Check in Google Scholar
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DOI: 10.17529/jre.v16i3.16010
<![CDATA[The purpose of this paper is to determine the control strategy of the renewable energy systems of hybrid solar panel power and wind turbines in maximizing voltage balance. The voltage control strategy needs to be designed, mainly when different load changes occur. If it is not done, it will affect the balance of power supplied to the load and usually damage the equipment used. Solar and wind energy sources significantly influence the stability of the applied voltage’s quality due to the fluctuating nature of renewable energy. This paper proposes control strategies for the use of PIs and the signal conditioning devices that are modified using the battery charging and discharging modeling while taking into account battery lifetime using PSIM software so that optimal voltage results from hybrid solar panel and wind turbine systems are obtained. The battery will be used as energy storage when the hybrid output power is over, which will then be used again when the hybrid output power is less than the load requirement. The signal conditioning device in this study uses five power converters, one AC to DC converter, two DC-DC boost converters, one bidirectional converter, 1 DC-AC bidirectional converter. Maximum output power uses MPPT, which is applied to the boost converter, whereas to regulate the voltage through charging and discharging the battery through the bidirectional buck-boost converter. This strategy provides the appropriate voltage on the AC side.]]>
<![CDATA[Analisis Performa Link Stability dari Faktor Kecepatan untuk Dinamisasi Zona pada Zone Routing Protocol ]]>
<![CDATA[Muhsin Bayu Aji Fadhillah]]>;
<![CDATA[Radityo Anggoro]]>;
<![CDATA[Arif Mudi Priyatno]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.17529/jre.v16i3.16502
<![CDATA[Zone dynamization is carried out in the Zone Routing Protocol to allow the adaptation of the routing protocol to VANET network conditions. Zone dynamization is accomplished by periodically updating the radius within a configured time period. The value of link stability from the factors that influence network conditions is used as a reference in the radius value’s renewal process. From the test and simulation results, speed is the most dominant factor in link stability composition. Comparison between ZRP and zone dynamics against traditional ZRP shows better performance than ZRP with zonal dynamics when measured from metric analysis of packet delivery ratio, delay, and routing overhead. The increase in ZRP performance can occur because the zoning dynamics carried out make ZRP more adaptive to network conditions so that it does not work too proactively or reactively. ]]>
<![CDATA[Perancangan Antena Yagi Gain Tinggi Pada Ground Control Station Wahana Udara Nirawak ]]>
<![CDATA[Melvi Melvi]]>;
<![CDATA[Nur Fadillah]]>;
<![CDATA[Yetti Yuniati]]>;
<![CDATA[Aryanto Aryanto]]>;
<![CDATA[Nora Aditiyan]]>;
<![CDATA[Cahyo Mustiko Okta Muvianto]]>;
<![CDATA[Ardian Ulvan]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.18682
<![CDATA[The uncrewed Aerial Vehicle (UAV) operation is currently dominated by autonomous technology (autopilot) rather than manual control via remote control. During flying the mission autonomously, communication between the UAV and the Ground Control Station (GCS) must be in good and stable conditions. The GCS can well receive the telemetry data and payload sensor data carried by the vehicle. Conversely, any inconsistency parameters can be corrected by the GCS before transmitted to the UAV. Therefore, the role of the antenna is crucial to avoid signal loss during the communication process. This study focuses on GCS’s antenna. By designing the Yagi type antenna with the optimization of the distance, the number of directors, material, and shape of the reflector through CST simulation. The best option chosen is the Yagi antenna with the same distance between directors, seven directors, copper material, and flat reflectors with a VSWR of 1.1134, return loss -25.411 dB and 10.7 dB of gain. The measurement result after fabrication is the VSWR of 2.165 and the return loss of -8.677 dB. The antenna test results, when the UAV was flown as far as 2.5 km, found that the signal strength received by the GCS is -70.68 dBm with RSSI 107, and the signal strength in percent is 96%. ]]>
<![CDATA[Rancang-Bangun Prototipe Sistem Kontrol Berbasis Programmable Logic Controller untuk Pengoperasian Miniatur Penyortiran Material ]]>
<![CDATA[Arief Goeritno]]>;
<![CDATA[Surya Pratama]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.14905
<![CDATA[A miniature sorting of material quality has been made, aided by a prototype of the controller system based on the Mitsubishi FX1N-24MR Programmable Logic Controller (PLC). A number of stages include the manufacture of the conveyor system unit, the electrical system, PLC programming, and performance measurement. The conveyor unit assembling was processed by installing the conveyor belt, dc motor, pneumatic cylinder, solenoid valve, and sensors. The electrical system is an integration of the Mitsubishi FX1N-24MR PLC, switched-mode power supply, miniature circuit breaker (MCB), dc voltage regulator circuit, relays, digital counters, pushbuttons, and selector switches arranged in a 20 x 30 x 15 cm panel box. Mitsubishi PLC system programming is based on algorithmic determination and ladder diagram arrangement assisted by GX Developer (GX Work). Performance measurement in the form of pulse readings is carried out by setting and manufacturing ladder counters and shift registers to count the number of pulses for each material and the accuracy of sorting when the material is detected simultaneously. The system performance is indicated by pulse reading accuracy and sorting timing accuracy. The reading of the pulse from the proximity switch affects the counter calculation to activate the pneumatic cylinder unit in sorting. Sorting for material-A takes 11 pulses, while for material-B, it takes 19 pulses. The synchronization measurement functions when an error occurs in the system in order to maintain the input received is the same as the output in the PLC-based control system. ]]>
