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[Algoritma Interpolasi Nearest-Neighbor untuk Pendeteksian Sampul Pulsa Oscilometri Menggunakan Mikrokontroler Berbiaya Rendah ]]>
<![CDATA[Firdaus Firdaus]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 3 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i3.8520
<![CDATA[Non-invasive blood pressure measurement devices are widely available in the marketplace. Most of these devices use the oscillometric principle that store and analyze oscillometric waveforms during cuff deflation to obtain mean arterial pressure, systolic blood pressure and diastolic blood pressure. Those pressure values are determined from the oscillometric waveform envelope. Several methods to detect the envelope of oscillometric pulses utilize a complex algorithm that requires a large capacity memory and certainly difficult to process by a low memory capacity embedded system. A simple nearest-neighbor interpolation method is applied for oscillometric pulse envelope detection in non-invasive blood pressure measurement using microcontroller such ATmega328. The experiment yields 59 seconds average time to process the computation with 3.6% average percent error in blood pressure measurement. ]]>
<![CDATA[Rancang Bangun Antenna Mikrostrip Peripheral Slits Linear Array Untuk Aplikasi Wi-Fi ]]>
<![CDATA[Syah Alam]]>;
<![CDATA[I Gusti Nyoman Yogi Wibisana]]>;
<![CDATA[Indra Surjati]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 1 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i1.5914
<![CDATA[Wireless Fidelity (Wi-Fi) is the modern telecommunication technology nowadays being so widely used and developed at operating frequency of 2.4 GHz, that needs microstrip antenna as best suited supporting means for transmitting and receiving data signals as well at its wave transceiver subsystem. The proposed antenna design were consists of four elements rectangular patch antenna with peripheral slits technique arranged in a linear array of 2x2 operating at the frequency of 2.4 GHz until 2.5 GHz. In addition to that, the feeding technique used in this research is microstrip fed line. The simulation from this research resulted in reducing the size of related antenna dimension up to 17% compared to that of four elements array without peripheral slits. It is also apparent that the bandwidth of the proposed antenna is 320 MHz (2.253 GHz–2.573 GHz) which is equivalent to bandwidth increase percentage of 13.07%, The simulation results in the center of frequency 2.448 GHz obtained return loss of -26.14 dB with a VSWR of 1.104. The measurement results obtained bandwidth of the proposed antenna is 150 MHz (2.424 GHz–2.574 GHz) which is equivalent to 12% increase of bandwidth percentage. The results of measurements process at the center of frequency 2.448 GHz obtained value of return loss of -16.88 dB with VSWR of 1.304.]]>
<![CDATA[Rancang Bangun AirMouse Menggunakan Sarung Tangan Bersensor Berbasis ESP32 ]]>
<![CDATA[Sholahuddin Muhammad Irsyad]]>;
<![CDATA[Achmad Basuki]]>;
<![CDATA[Bima Sena Bayu Dewantara]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 3 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i3.25816
<![CDATA[Digital interactions are still commonly using indirect media such as mouse and keyboard to provide user input in the form of two-dimensional data. Therefore, to provide intuition in virtual interactions, it is possible to add media that can draw directly in the air or a flat surface that will track hand movements and overall finger position. In this research, we try to track hand movements in real time by capturing the position of the hand and finger curvature using a wearable sensor equipped with an Inertial Measurement Unit (IMU) sensor and a flex sensor installed by the user. Then the system will identify the position of the user's finger bending. and the location indicated by the sensors installed to move the cursor on the screen and simulate left-click and right-click hand movements as with a traditional mouse. By using this system, users can interact with the computer more naturally and get the accuracy of cursor movement with the accuracy of finger movement translation reaching more than 85% and the translation of hand movements to mouse cursor movements is on average 73% for shapes that use straight lines. and 23.4% on curved lines such as circles and other shapes.]]>
<![CDATA[Autonomous Mobile Robot based on BehaviourBased Robotic using V-REP Simulator–Pioneer P3-DX Robot ]]>
<![CDATA[Esa Apriaskar]]>;
<![CDATA[Fahmizal Fahmizal]]>;
<![CDATA[Ika Cahyani]]>;
<![CDATA[Afrizal Mayub]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i1.15081
<![CDATA[This article describes the design and implementation of behavior-based robotic (BBR) algorithm on a wheeled mobile robot (WMR) Pioneer P3-DX in a maze exploration mission using V-REP simulator. This robot must trace and search for targets placed randomly on a labyrinth. After successfully meeting the objective, robot runs back to home position using the nearest path. Robot navigation system applies BBR algorithm to reach the target using behavior modules which work simultaneously to obtain the desired robot’s trajectory. The most fundamental behavior which is highly affordable to build on the robot system is a wall-following behavior. To make the robot could follow the wall in a safe, smooth and responsive condition, proportional-integral-derivative (PID) controller is applied. PID controller runs by utilizing the reading of sixteen proximity sensors carried on Pioneer P3-DX robot toward the expected wall distance while the robot is exploring the labyrinth. To ensure the designed system works properly, several tests were conducted, including BBR test and PID controller test. BBR test shows that the system can choose the shortest track when returning to home position. The PID controller test produces robot movement with maximum deviation and settling time for about 0.013 m and 30 seconds, respectively.]]>
<![CDATA[Implementasi Kontrol PID pada Mesin Pengembang Roti ]]>
<![CDATA[Novianti Yuliarmas]]>;
<![CDATA[Siti Aisyah]]>;
<![CDATA[Handri Toar]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 11, No 3 (2015) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v11i3.2304
<![CDATA[Besides the ingredient composition, another important thing in the process of making dough is proofing, ie. dough rising process prior to roasting process. Proofing process requires a stable temperature to ensure that the dough is well rising. The purpose of this research is to make a proofing machine that uses DHT11 as a temperature sensor. Proportional-Integral-Derivative (PID) controller is implemented to guarantee that the machine remains at the temperature of 350Celcius, in which the fermentation process would success. PID control has been implemented in fluorescent lamp which been set its dim light to generate heat until it reach a predetermined set point value. The temperature was monitored using LCD and set to remain stable with the help of fan. The proofing process will last for 15 minutes which ended by the sound of the buzzer. The testing result shows that the value of , , will reach set point value within 120 seconds.]]>
<![CDATA[Parallel Balancing Battery using Adaptive Power Sharing and ANN SOC Estimator ]]>
<![CDATA[Mokhamad Zuhal Muflih]]>;
<![CDATA[Gilang Andaru Trinandana]]>;
<![CDATA[Eka Prasetyono]]>;
<![CDATA[Dimas Okky Anggriawan]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 3 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i3.20671
<![CDATA[The battery balancing method is commonly used in cell circuits and battery circuits to maintain the power continuity on the DC Bus. The power continuity on the DC Bus is guaranteed if the load continues to get a power source, even if either the battery or power supply malfunctions. Besides, the battery balancing method is also used to protect the battery from excessive charging current pliers flowing into the battery. Therefore, the State-of-Charge (SoC) should be concern in balancing the maintained battery condition on both systems and avoiding overcharging. Artificial Neural Network (ANN) is used in this paper to determine the value of battery SoC. Based on simulations using MATLAB 2018, SoC values with ANN showed accurate results with error values below 0.1%. Based on the simulation results, the two batteries, which are arranged to have a difference of SoC value of 0.3%, will achieve a balanced SoC value for 28.45 seconds from the simulation.]]>
<![CDATA[Sistem Minimum Berbasis Mikrokontroler ATmega2560 sebagai Sistem Pengaman pada Analogi Lemari Penyimpanan Brankas ]]>
<![CDATA[Muchammad Takdir Sholehati]]>;
<![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.v14i3.11649
<![CDATA[A minimum system based on ATmega2560 microcontroller has been created that functioned as a safety system in the analogy of the cupboard for storage of the safes. Making the minimum system is done through a number of phases, namely integrating the system, programming against the microcontroller system, and validation test in the form of system performance measurement through giving the forced state. System integration is in the form of installing a device on two lines in the input port and two lines in the output port of the microcontroller. Programming is based on algorithms and the syntax of Arduino IDE-based through 6 (six) stages, namely pins configuration, variable and constants declaration, initialization, main program, retrieved and send data, and output. The validation test is carried out in the form of 4 (four) conditions, namely a) when the RFID module is not detected, b) when the card is detected by the RFID module, c) when the door is opened, and the buzzer is "on", the card is not detected when tagged on the antenna, and d) when the door is forcibly opened, and the buzzer is "on", while the card is detected when tagged on the antenna. Maximizing the security against the door of analogy the cupboard for storage of the safes is detected by the limit switch condition when the door is opened forcefully and the buzzer sounds. For neutralizing conditions for buzzer conditions, it is done through tagging an RFID card through the antenna. The buzzer still sounds, if the blank data is unreadable by the RFID module, while the buzzer can be neutralized if the card was tagged, the data card stored is read by the RFID module.]]>
<![CDATA[Development of Client-Server Application by Using UDP Socket Programming for Remotely Monitoring CNC Machine Environment in Fixture Process ]]>
<![CDATA[Darmawan Darmawan]]>;
<![CDATA[Pharmayeni Pharmayeni]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 12, No 2 (2016) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v12i2.2925
<![CDATA[The use of computer technology in manufacturing industries can improve manufacturing flexibility significantly, especially in manufacturing processes; many software applications have been utilized to improve machining performance. However, none of them has discussed the abilities to perform direct machining. In this paper, an integrated system for remote operation and monitoring of Computer Numerical Control (CNC) machines is put into consideration. The integrated system includes computerization, network technology, and improved holding mechanism. The work proposed by this research is mainly on the software development for such integrated system. It uses Java three-dimensional (3D) programming and Virtual Reality Modeling Language (VRML) at the client side for visualization of machining environment. This research is aimed at developing a control system to remotely operate and monitor a self-reconfiguration fixture mechanism of a CNC milling machine through internet connection and integration of Personal Computer (PC)-based CNC controller, a server side, a client side and CNC milling. The performance of the developed system was evaluated by testing with one type of common protocols particularly User Datagram Protocol (UDP). Using UDP, the developed system requires 3.9 seconds to complete the close clamping, less than 1 second to release the clamping and it can deliver 463 KiloByte.]]>
<![CDATA[Deteksi Gestur Tangan Berbasis Pengolahan Citra ]]>
<![CDATA[Abdullah Sani]]>;
<![CDATA[Suci Rahmadinni]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 2 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i2.25147
<![CDATA[Hand sign language is a medium of communication for people with disabilities (deaf and speech impaired). However, in social practice, persons with disabilities may have to communicate with non-disable persons who do not understand sign language. These problems can be overcome with the help of translators or normal people learning sign language through existing media such as videos. Unfortunately, this method will probably cost a lot of money and time. In respons to this issue, the present study designed a sistem to detect hand gestures based on image processing. The method used is the You Only Look Once (YOLO) algorithm. The YOLO algorithm can detect and classify objects at once without being influenced by the light intensity and background of the object. This algorithm is a deep learning method that is more accurate than other deep learning methods. From this research, the system can detect and classify hand gestures with different backgrounds, light intensity, and distances with an accuracy rate above 90%.]]>
<![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.]]>
