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[Analisis TCP Cubic dan Simulasi untuk Menentukan Parameter Congestion Window dan Throughput Optimal pada Jaringan Nirkabel Ad Hoc ]]>
<![CDATA[Ary Firnanda]]>;
<![CDATA[Teuku Yuliar Arif]]>;
<![CDATA[Syahrial Syahrial]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 2 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i2.4874
<![CDATA[Ad hoc wireless network performance often declines caused the onset of congestion on the process of sending data. TCP Congestion Control used to solve these problems. TCP Cubic is one variant TCP Congestion Control. This research was conducted with the test and compare between variable value b=0.2 with the value of the variable b to be used in ad hoc wireless networks. This research was conducted with the experimental method using network simulation software NS-3. The results showed that the value of variable b is the right on ad hoc wireless network with packet loss by 5% to generate optimal congestion window max is b=0.5 and the average throughput optimal is b=0.1]]>
<![CDATA[Pemodelan Pembangkit Listrik Tenaga Angin yang Berbasis DFIG untuk Analisis Aliran Daya ]]>
<![CDATA[Rudy Gianto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 4 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i4.23329
<![CDATA[Belakangan ini, kepopuleran dari PLTAn (Pembangkit Listrik Tenaga Angin) kecepatan variabel yang berbasis DFIG (Doubly Fed Induction Generator) telah melampaui PLTAn kecepatan tetap. Kepopuleran ini terutama disebabkan karena dalam operasinya, kecepatan rotasi generator dari PLTAn kecepatan variabel yang berbasis DFIG dapat bervariasi pada interval yang jauh lebih lebar dibandingkan PLTAn kecepatan tetap sehingga ekstraksi energi angin dapat dilakukan dengan lebih optimal. Untuk mengevaluasi performa keadaan mantap (steady state) dari suatu sistem tenaga listrik, seluruh komponen-komponen sistem (termasuk PLTAn) harus dimodelkan dengan baik dan benar. Makalah ini mengusulkan model keadaan mantap DFIG untuk analisis aliran daya sistem distribusi tenaga listrik. Usulan model tersebut diperoleh berdasarkan rumusan-rumusan daya dari PLTAn yaitu: daya turbin, daya-daya rotor dan stator DFIG, serta keluaran daya listrik PLTAn. Model yang diusulkan ini dapat diaplikasikan pada berbagai mode operasi faktor daya DFIG. Untuk memverifikasi usulan model, makalah ini juga membahas studi kasus dimana penerapan usulan model pada suatu sistem distribusi tenaga listrik dilakukan. Hasil studi memperlihakan bahwa pada kecepatan-kecepatan angin antar 5 m/d sampai 12 m/d, keluaran daya aktif PLTAn bervariasi diantara 0,09 MW sampai 2,10 MW. Sedangkan keluaran daya reaktifnya bervariasi diantara 0,03 MVAR sampai 0,67 MVAR (untuk faktor daya 0,95 leading), dan diantara -0,69 MVAR sampai -0,03 MVAR (untuk faktor daya 0,95 lagging). Hasil-hasil penyelidikan dalam studi kasus ini juga mengkonfirmasi validitas usulan model PLTAn yang berbasis DFIG tersebut.]]>
<![CDATA[Sistem Pendaratan Otomatis pada Quadcopter menggunakan Sliding Mode Controller ]]>
<![CDATA[Zindhu Maulana Ahmad Putra]]>;
<![CDATA[Alrijadjis Alrijadjis]]>;
<![CDATA[Bambang Sumantri]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i1.15389
<![CDATA[A quadcopter has a very nonlinear system characteristic that is influenced by unexpected disturbances such as the influence of wind that reflected off the ground when taking off or landing. Therefore, a robust control strategy is needed to improve the quadcopter performance. In this study, the control strategy is used to resolve outdoor automatic landing problems in a stable manner using the Sliding Mode Control (SMC) algorithm. The quadcopter has six degrees of freedom (6-DoF) with only four independent inputs, this makes it impossible to control 6-DoF directly and simultaneously. To handle this, the proposed structure is a multilevel control structure, inner loop dan outer loop controller. The Inner loop controls the rotational dynamics subsystem (3-DoF), while the outer loop controls the translational dynamics subsystem (3-DoF) which is designed in conjunction with the generation of attitude angle set-point. With the concept of automatics landing can reduce the risk of accidents on a quadcopter. The SMC technique on an automatics quadcopter landing shows the results with an error in roll of ± 0.05 radians, pitch ± 0.03 radians, yaw less than 0.3 radians, and translational movements the z-axis is ± 0.2 meters.]]>
<![CDATA[Perancangan Lengan Robot 5 Derajat Kebebasan Dengan Pendekatan Kinematika ]]>
<![CDATA[- Firmansyah]]>;
<![CDATA[Yuwaldi Away]]>;
<![CDATA[Rizal Munadi]]>;
<![CDATA[Muhammad Ikhsan]]>;
<![CDATA[Ikram Muddin]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 11, No 2 (2014) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v11i2.2309
<![CDATA[This study discusses the design of arm robot model with 5 degree of freedom that is designed to be a small-scale model of the articulated robot industry to simulate the movement of the robots industry. The objective of this research is to build a real arm robot based on kinematic aspects with the movement of waist, shoulder, elbow, wrist pitch, wrist roll and gripper, and to analyze the robot movement. The design includes building the real arm robot based on Arduino Uno board controller and the movement of the robot using servo motor DC. The robot can be controlled automatically from the computer with the RS-232 or USB port interface and it learns about the kinematic of the robot’s arm when an experiment on the forward kinematic is accomplished. The robot was running well, with the maximum distance that can be reached by the robot on the coordinate axis x = 425 mm, y = 425 mm and z = 480 mm.]]>
<![CDATA[Comparative Study of Computer Vision Based Line Followers Using Raspberry Pi and Jetson Nano ]]>
<![CDATA[Gunawan Dewantoro]]>;
<![CDATA[Jamil Mansuri]]>;
<![CDATA[Fransiscus Dalu Setiaji]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 4 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i4.21324
<![CDATA[The line follower robot is a mobile robot which can navigate and traverse to another place by following a trajectory which is generally in the form of black or white lines. This robot can also assist human in carrying out transportation and industrial automation. However, this robot also has several challenges with regard to the calibration issue, incompatibility on wavy surfaces, and also the light sensor placement due to the line width variation. Robot vision utilizes image processing and computer vision technology for recognizing objects and controlling the robot motion. This study discusses the implementation of vision based line follower robot using a camera as the only sensor used to capture objects. A comparison of robot performance employing different CPU controllers, namely Raspberry Pi and Jetson Nano, is made. The image processing uses an edge detection method which detect the border to discriminate two image areas and mark different parts. This method aims to enable the robot to control its motion based on the object captured by the webcam. The results show that the accuracies of the robot employing the Raspberry Pi and Jetson Nano are 96% and 98%, respectively.]]>
<![CDATA[Sistem Telemonitoring KWH Meter Menggunakan Modul Wi-Fi ESP8266 Berbasis Arduino Uno ]]>
<![CDATA[Hidayat Nur Isnianto]]>;
<![CDATA[Muhammad Arrofiq]]>;
<![CDATA[Rijeqi Rahmawati]]>;
<![CDATA[Bagus Mulyo Tyoso]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 15, No 1 (2019) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v15i1.12968
<![CDATA[The postpaid KWH Meter reading by officers is sometimes constrained to reach the physical KWH Meter because the house fence is locked or the KWH Meter is inside the house. This often causes problems such as reading errors and the officer must come to the customer several times. Therefore a telemonitoring system for KWH Meters is made through an online WiFi network to help officers record electricity usage for consumers. This system uses ACS712 current sensor, ZMPT101B voltage sensor, different phase sensor, RTC DS1307 as a timer and date, Arduino as a data processor, Micro SD Card for storing date, time, and sensor readings, LCD as a viewer, and transmitted with modules ESP8266 Wi-Fi to a smartphone or PC with a simple web display. The test results show that all components can function properly. ACS712 30A current sensor has an average error of 1%, and the ZMPT101B voltage sensor is capable of carrying out voltage readings in load or no load conditions with an average error of0.5% and a different phase sensor has an average error of 1% for resistive load and 4.2% for inductive loads of TL lights. Power measurements have an average error of 1.3% for 75W incandescent lamp loads and 300W irons. The ESP8266 Wi-Fi module emits a maximum of 15 meters when not blocked and 10 meters when blocked. All measurement data can be stored on the SD Card.]]>
<![CDATA[Sistem Proteksi Arus Bocor Menggunakan Earth Leakage Circuit Breaker Berbasis Arduino ]]>
<![CDATA[Syukriyadin Syukriyadin]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 12, No 3 (2016) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v12i3.5673
<![CDATA[Touching a live part of electrical equipment either intentionally or unintentionally can cause an electric shock. The touch can occur directly or indirectly and results in the flow of electric current through the human body to the ground. This electric current is known as the leakage current and can have fatal effects on the human body such as burns, cramps, faint and death. This paper aims to design a prototype protection model of the earth leakage circuit breaker device based on Arduino (ELCBA) to protect the human body from the electrical hazards. The performance of the ELCBA is investigated by detecting the earth leakage current to the grounding system (TN). The prototype is designed and simulated by using Proteus software. Based on the response test carried out on the prototype, it can be concluded that the ELCBA can operate properly to disconnect the electric circuit if the leakage current is detected greater than or equal to 30 mA with a time delay of 15 ms and to reclose the circuit again after 5 minutes.]]>
<![CDATA[Perancangan Automated Guided Vehicle Menggunakan Penggerak Motor DC dan Motor Servo Berbasis Raspberry Pi 4 ]]>
<![CDATA[Florentinus Budi Setiawan]]>;
<![CDATA[Yosia Yovie Christian Wibowo]]>;
<![CDATA[Leonardus Heru Pratomo]]>;
<![CDATA[Slamet Riyadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i2.25863
<![CDATA[The influence of the industrial revolution 4.0 resulted in very significant changes. Many companies compete to produce robots that facilitate human work, in terms of energy and time in the process of producing goods. One of the robots being developed is the Automated Guided Vehicle (AGV), a vehicle with automatic control. AGV has high accuracy, easy maintenance, and a long operating time. This study discusses the design and implementation of AGV using 2 motors. The front motor using a servo motor is used for steering to turn right and turn left, while the rear motor in the form of a DC motor is used to regulate the speed of the AGV. The AGV movement system is controlled by computer vision. The AGV problem encountered is that the camera reading distance is close, which makes it less efficient in industrial use. This problem can be solved with a camera connected to a raspberry pi capable of capturing text and images from a distance of 100 cm. The use of computer vision makes the AGV robot easy to move. In this study, the accuracy of the movement of the AGV robot to the trajectory pattern has an average angle difference of 3.09°. The difference in the angle indicates a small error so that the AGV can operate optimally. Infield applications, this AGV is used in the manufacturing industry to move goods. Therefore, the use of AGV is needed because it has high accuracy and small error.]]>
<![CDATA[Strategi Pembebanan PLTS Off Grid untuk Peningkatan Kontinuitas Suplai Energi Listrik ]]>
<![CDATA[Syafii Syafii]]>;
<![CDATA[Yona Mayura]]>;
<![CDATA[Muhardika Muhardika]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 15, No 3 (2019) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v15i3.14793
<![CDATA[Solar power plants using environmentally friendly technology in the process of harvesting energy from the sun can be a solution to the future electricity crisis so that it has been the most widely developed and reliable alternative. However, the conversion of solar energy depends on the availability and conditions of sunlight. In sunny conditions, the PV system can serve large loads while charging the battery to the maximum. While in cloudy weather conditions or at night, the PV system serves the load and without charge of the battery. The battery will discharge the stored energy until it runs out and the supply to the load will be cut off before the desired time. Therefore, research on PV system loading strategy is needed to increase the amount of electricity from solar energy and maintain the continuity of electricity supply to the load. The load power management strategy follows the conditions of sunny, cloudy, rainy or night time by considering the remaining capacity of the battery that can be used. Load installations are designed to consist of low, medium and high load installations. Simulation results show that the use of PV loading management strategies can increase the operating time of the PV system. When the remaining 15% battery capacity and PLN supply is available, the supply will be switched to PLN. The remaining 15% of PV battery capacity could be used to maintain electricity supply to a low load if the PLN supply interrupted. Thus the use of the charging strategy will increase the supply of electricity from renewable energy and improve the continuity of electricity supply.]]>
<![CDATA[Klasifikasi Bit-Plane Noise untuk Penyisipan Pesan pada Teknik Steganography BPCS Menggunakan Fuzzy Inference Sistem Mamdani ]]>
<![CDATA[Rahmad Hidayat]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 11, No 3 (2015) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v11i3.2238
<![CDATA[Bit-Plane Complexity Segmentation (BPCS) is a fairly new steganography technique. The most important process in BPCS is the calculation of complexity value of a bit-plane. The bit-plane complexity is calculated by looking at the amount of bit changes contained in a bit-plane. If a bit-plane has a high complexity, the bi-plane is categorized as a noise bit-plane that does not contain valuable information on the image. Classification of the bit-plane using the set cripst set (noise/not) is not fair, where a little difference of the value will significantly change the status of the bit-plane. The purpose of this study is to apply the principles of fuzzy sets to classify the bit-plane into three sets that are informative, partly informative, and the noise region. Classification of the bit-plane into a fuzzy set is expected to classify the bit-plane in a more objective approach and ultimately message capacity of the images can be improved by using the Mamdani fuzzy inference to take decisions which bit-plane will be replaced with a message based on the classification of bit-plane and the size of the message that will be inserted. This research is able to increase the capability of BPCS steganography techniques to insert a message in bit-pane with more precise so that the container image quality would be better. It can be seen that the PSNR value of original image and stego-image is only slightly different.]]>
