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[IoT-Based Tracking System of Transceiver Location ]]>
<![CDATA[Siti Aisyah]]>;
<![CDATA[Ahmad Fauzy Daulay]]>;
<![CDATA[Heru Wijanarko]]>;
<![CDATA[Daniel Sutopo Pamungkas]]>;
<![CDATA[Kamarudin Kamarudin]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 4 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i4.22347
<![CDATA[Object mapping based on location tracking methods has been widely used in various types of applications. Most tracking systems recently use existing technology and infrastructure such as satellite, cellular and wireless (RF) technology. These existing technologies are high-cost technology that needs authorized permission to be integrated to the novel technology. This research proposed a cheap point to point device technology to track a location of a transceiver using GPS in a portable infrastructure using Line of sight radio communication. The tracking system design is connected to the IoT system in order to be more accessible. The proposed system using GPS as an identifier of the transceiver coordinate location and 433MHz radio module as media communication between transmitter and receiver. The use of a 433MHz radio frequency module which is free-license adds value to the system so that it will be easily accessed. The design of portable and internet-based devices also gives a positive value in which the system does not have to depend on existing infrastructure and the system can also be reached even if it is placed in remote areas. The system test results show that the system can be well accessed up to a distance of 6.8 km.]]>
<![CDATA[Desain Low-Cost Sistem Monitoring Pengukuran Potensi Tenaga Matahari dan Tenaga Angin ]]>
<![CDATA[Aries Jehan Tamamy]]>;
<![CDATA[Zaenal Arifin]]>;
<![CDATA[Amalia Amalia]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 15, No 1 (2019) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v15i1.12077
<![CDATA[Renewable energy implementation could become the alternative for electrical energy supply in a remote area with no network for electricity and also could be implemented in an urban area to reduce electricity consumption in daily usage. One of the problems to implement renewable energy is how to measure solar power potential and wind power potential to decide the qualification to apply the system in a particular area. This research used Arduino Uno as the main Controller that connected to a Voltage sensor, Current Sensor ACS712 30A dan light intensity sensor BH1750 to measure solar power potential and also anemometer to measure wind power potential. Software design was done using Arduino IDE program that successfully produced stable Low-Cost system that can operate well with all kind of solar panel with maximum Voltage of 34.7 V and current ± 30 A. The results from system testing shows that the system has accuracy for voltage sensor with value of 99.2%, current sensor with value of 95.3% and light intensity sensor with value of 99.8% and also has excellent precision with SDR value for every sensor are 0.034%, 4.58% and 0.026%.]]>
<![CDATA[Plant Monitoring Using a Web-View-Based Android Application as a Realization of the Implementation of the Smart Agriculture Concept ]]>
<![CDATA[Supriyanto Supriyanto]]>;
<![CDATA[Rohmat Rohmat]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 19, No 2 (2023) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v19i2.31711
<![CDATA[The concept of Smart Farming has been adopted by utilizing microcontrollers, sensor devices, and actuators to regulate plant conditions. However, the communication methods with farmers, such as text messaging applications, are considered ineffective due to their limited features, and farmers cannot control monitoring devices. To address this issue, we developed a web-view-based application named Prospherine Smart Farming using PHP, Java, and MongoDB. The Software Development Life Cycle (SDLC) methodology was employed to ensure the proper functioning of the application. This application has comprehensive features that enable farmers to control monitoring devices, even remotely, and provide continuous information about farming conditions. Testing was conducted to ensure that all features functioned properly, and feedback was obtained from farmers. The research results indicate that using the Prospherine Smart Farming Application positively impacts farming activities. With this application, farmers can monitor their farming conditions in real-time and take necessary actions to enhance crop yields. The Prospherine Smart Farming Application can potentially improve agricultural efficiency and assist farmers in tackling challenges in the digital era.]]>
<![CDATA[Pemantau Lalu Lintas dengan Sensor LDR Berbasis Mikrokontroler ATmega16 ]]>
<![CDATA[Adam Vrileuis]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 10, No 3 (2013) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v10i3.1016
<![CDATA[This system was designed to monitor the condition of traffic by measuring the speed and density of vehicles on the road. This system uses Light Dependent Sensor (LDR) that can detect the vehicles when there is no light stimulus. Light Dependent Sensor is used as a switch in the circuit. When the light on the sensor is blocked, it provides a response to microcontroller to turn on and turn off the timer, and to run the counter. Theoretically, the condition of traffic flow, such as traffic jams, can be indicated on the vehicle speed and density. The speed and density data were processed by microcontroller using C programming for RISC AVR (Alf and Vegard’s RISC) processor. Timing data obtained from the timer and counter were computed by applying arithmetic process to describe the traffic condition. Kinematics theory was applied to find the speedy by multiplying the distance between the sensors which was determined when the vehicles passing the sensors. This system is able to detect congestion at a road if the speed is lower and the density is higher than the setup values.]]>
<![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[Pengenalan Karakter Plat Nomor Kendaraan Bermotor Menggunakan Zoning dan Fitur Freeman Chain Code ]]>
<![CDATA[Taufik Fuadi Abidin]]>;
<![CDATA[Abbas Adam AzZuhri]]>;
<![CDATA[Fitri Arnia]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i1.8932
<![CDATA[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.]]>
<![CDATA[Perancangan Kendali Robot pada Smartphone Menggunakan Sensor Accelerometer Berbasis Metode Fuzzy Logic ]]>
<![CDATA[Mohamad Agung Prawira Negara]]>;
<![CDATA[Dodi Setio Laksono]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 2 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i2.7766
<![CDATA[Telecommunications and robotics technology is being developed to assist and facilitate the work of a human. In the field of telecommunications particularly smartphone has reached the planting of operating systems like android until planting sensors such as an accelerometer, gyro, proximity, etc. We would like to take advantage of the accelerometer sensor on a smartphone as robot control. We will compare the use of Sugeno Fuzzy Logic and Mamdani Fuzzy Logic to determine the best control method. The basic components of the robot are the Bluetooth module HC-05 as a medium of communication with the android, arduino as the control system and actuators such as DC motors drive the rear wheels to adjust the speed of the robot, and servo motor drives the front wheels to adjust the degree of turn robot. In robot’s movement test, 4 of 8 trials or approximately 50% stated better Sugeno Fuzzy Logic than Mamdani Fuzzy Logic in terms of linearity. In robot's controller response test, for Sugeno Fuzzy Logic method the average delay is 0.41 seconds, and for Mamdani Fuzzy Logic method the average delay is 10.80 seconds.]]>
<![CDATA[Perbandingan Kinerja Algoritma Optimasi pada Metode Random Forest untuk Deteksi Kegagalan Jantung ]]>
<![CDATA[Unang Sunarya]]>;
<![CDATA[Tita Haryanti]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 4 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i4.26981
<![CDATA[Abstrak— Jantung merupakan salah satu organ terpenting dalam tubuh manusia. Kegagalan jantung pada pasien dapat mengakibatkan dampak yang vital dan berujung pada kematian. Adapun kegagalan jantung bukan hanya dipengaruhi oleh faktor usia, juga dipengaruhi komorbid dan pola hidup dari pasien. Berbagai upaya medis telah banyak dilakukan untuk mendeteksi kegagalan jantung yang mengharuskan pasien dirawat intensif di rumah sakit yang tentunya membuat pasien merasa kurang nyaman. Maka dari itu, dalam penelitian ini dirancang sebuah aplikasi machine learning untuk deteksi kegagalan jantung yang dapat mengklasifikasikan kondisi pasien ke arah kematian atau bertahan berdasarkan gejala-gejala yang dimiliki pasien. Adapun algoritma machine learning yang digunakan adalah random forest yang dioptimasi dengan tiga buah algoritma optimasi yaitu grid search, random search dan Bayesian search sebagai perbandingan. Kinerja ketiga algoritma optimasi kemudian diukur menggunakan akurasi, presisi dan recall. Ada 299 sampel pasien yang digunakan dalam penelitian ini. Hasil menunjukkan bahwa random forest dengan algoritma optimasi random search mencapai kinerja yang paling unggul dengan akurasi rata-rata sebesar 85,63 %, presisi rata-rata 87,38% dan recall 85,63%. ]]>
<![CDATA[Maximum Power Point Tracking Menggunakan Algoritma Artificial Neural Network Berbasis Arus Hubung Singkat Panel Surya ]]>
<![CDATA[Muhammad Nizar Habibi]]>;
<![CDATA[Mas Sulung Wisnu Jati]]>;
<![CDATA[Novie Ayub Windarko]]>;
<![CDATA[Anang Tjahjono]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 2 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i2.14860
<![CDATA[The conversion of solar energy into electrical can be utilized by using the solar panel, but the energy conversion ratio is still low. Maximum Power Point Tracking (MPPT) is a method used to increase energy production in the process of converting electrical to the solar panel. Artificial Neural Network (ANN) is one of the soft-computing methods that can be applied as MPPT with the advantage of having a learning process, very stable, fast, doesn’t require complicated mathematical modeling, and has good performance. ANN is proposed with input from the short circuit current of the solar panel and is used as a reference for the ANN to reach the maximum power. The process of detecting a short circuit current is indicated by a momentary decrease of the power by the solar panel. The results show the proposed algorithm can reach the maximum power operating point of the solar panel despite the change of radiation. When at maximum power operating point, ANN can hold the value, so the resulting value doesn’t change and doesn’t generate ripple. At radiation of 1000 W/m2 and using 100 WP, ANN can produce a maximum power of 99.97 Watts with a time of 0.063 seconds. ]]>
<![CDATA[Model dan Kendali Modular pada Pendulum Terbalik tipe Rotary ]]>
<![CDATA[Erwin Susanto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 19, No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v19i1.28262
<![CDATA[Rotary Inverted Pendulum (RIP) is a physical system that is often used as a theoretical platform and application of non-linear, unstable, and underactuated control systems so that it poses a challenge to design controls and realize them. The mechanical construction of the system consists of a pendulum arm that rotates horizontally on the RIP base shaft and a vertical pendulum arm that swings from a downward position to an upright equilibrium position. This paper presents a model and control scheme for RIP in a modular manner, in which three controller sections are constructed and realized using Multibody Matlab. The three controller parts include: a swing-up using a positive feedback Proportional Derivative controller, a switching mode controller that works to change swing up control scheme into stabilization control when the vertical pendulum arm reaches a position around its upright equilibrium, and stabilization controller to maintain vertical arm balanced using a Proportional Derivative controller. The trajectory of the motion of the pendulum arm and the 3D visualization of the pendulum system presented using Multibody Matlab show the effectiveness of the applied method.]]>
