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[Studi Perbandingan Layanan Cloud Computing ]]>
<![CDATA[Afdhal Afdhal]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 10, No 4 (2013) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v10i4.1110
<![CDATA[In the past few years, cloud computing has became a dominant topic in the IT area. Cloud computing offers hardware, infrastructure, platform and applications without requiring end-users knowledge of the physical location and the configuration of providers who deliver the services. It has been a good solution to increase reliability, reduce computing cost, and make opportunities to IT industries to get more advantages. The purpose of this article is to present a better understanding of cloud delivery service, correlation and inter-dependency. This article compares and contrasts the different levels of delivery services and the development models, identify issues, and future directions on cloud computing. The end-users comprehension of cloud computing delivery service classification will equip them with knowledge to determine and decide which business model that will be chosen and adopted securely and comfortably. The last part of this article provides several recommendations for cloud computing service providers and end-users.]]>
<![CDATA[Teknologi Low-Frequency Acoustic untuk Identifikasi Gas Hidrat Berdasarkan Perubahan Karakter Seismik di Perairan Laut Aru ]]>
<![CDATA[M. Agung Sedayu]]>;
<![CDATA[Henry M. Manik]]>;
<![CDATA[Subarsyah Subarsyah]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.17867
<![CDATA[Gas hydrate is a type of hydrocarbon formed like crystals and is formed in the seabed sediment layer. Water temperature and pressure affected the area where gas hydrates are formed; gas hydrates are composed of gas and water elements. Gas hydrates have the potential as an alternative to current uses of oils and gasses. The identification of gas hydrates on the seabed can be detected using low-frequency acoustic, seismic technology. This research aims to identify the presence of gas hydrate in Aru Sea waters based on changes in the seismic character of the gas hydrate. The method used is seismic data processing with ProMAX software. This research uses seismic data for the 3.01 trajectory acquired by the Marine Geology Research and Development Center in 2016 in the Aru Sea. Based on the data processed, gas hydrate was detected on the 3.01 line with a depth of 5,925 meters. Gas hydrate indicator on the seabed is characterized by cutting stratigraphy, reversing its polarity, high amplitude, and shape following the seabed. ]]>
<![CDATA[Antena Transceiver Untuk Komunikasi Bluetooth ISM-Band Dengan Metode Complementary Split Ring Resonator ]]>
<![CDATA[Yustina Wahyu Andika]]>;
<![CDATA[Hasanah Putri]]>;
<![CDATA[Dwi Andi Nurmantris]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 2 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i2.10877
<![CDATA[A Bluetooth was developed as a means for short-range communications. However, the limited range of Bluetooth devices that tend to be narrowly led to the use of Bluetooth is less developed. Whereas, with its properties, sharing of data should be done easily and cheaply. This research has designed a transceiver antenna for Bluetooth communications that works at a frequency 2.4 GHz ISM-band. The antenna is designed in the form of a microstrip antenna with Complementary Split Ring Resonator (CSRR) methods to reduce the dimensions of the antenna. The result of this research is a form of a transceiver antenna that works at a frequency of 2.398 GHz to 2.47 GHz with -30.815 dB return loss and VSWR worth 1,074. The resulting radiation pattern is a directional pattern with a gain of 11.84 dB. Implementation of the CSRR method can reduce antenna dimension by 53.47 %.]]>
<![CDATA[The Duration of the Cycle to Get the P Amplitude on A Discrete Electrocardiogram ]]>
<![CDATA[Sabar Setiawidayat]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 19, No 2 (2023) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v19i2.31605
<![CDATA[The P amplitude value for each cycle has not been carried out even though it is related to indications of atrial hypertrophy. The basic interpretation of the maximum P amplitude under normal conditions is 2.5 small squares on electrocardiogram (ECG) paper which is equivalent to 2.5 mV. Apart from these interpretations, an amplitude value is required that corresponds to the amount of depolarization of the atrial muscle cells. The difficulty faced by researchers is the lack of discrete ecg data available for experiments, so it only depends on amplitude data as a function of Physionet output time. An ECG is produced using discrete data but there is no electrocardiograph that displays discrete data yet. This study aims to obtain the P amplitude value based on discrete electrocardiogram data. The cycle duration value obtained from R to R is used to obtain the initial position of the cycle (sc) with the formula RN+1-1.5dR for each cycle. The P amplitude value can be obtained by filtering the maximum amplitude value between the sc and RN positions. The results of research on 10 physionet samples and 10 RSSA samples showed that all samples had an amplitude R, cycle duration and P amplitude value in each cycle.]]>
<![CDATA[Rancang Bangun Alat Ukur Unting-unting Digital dan Waterpass Digital dengan Accelero Sensor Berbasis Mikrokontroler ATmega8 ]]>
<![CDATA[Hidayat Nur Isnianto]]>;
<![CDATA[Ali Ridho]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 10, No 3 (2013) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v10i3.1015
<![CDATA[Measurement process of concrete mold erectness (bekesting) and the floor slope was generally conducted using conventional method applying a plummet (pendulum) for bekesting erectness and waterpass for the floor slope. The drawbacks of this method are it requires a relatively longer processing time and the outcome of the slope measurement is not represented in degrees. The measurement of digital plummet and digital waterpass is easier as the measurement time is relatively short and the tilt angle is represented in degrees. This paper describes a design and implementation of digital plummet and waterpass using Accelero Sensor MMA 7361L based on microcontroller ATmega8. The Accelero sensor MMA 7361L was used to read the tilt axis x, y, and z with analog voltage output that is converted into digital form using the ADC on the microcontroller. Based on the results of tools test for bekesting erectness and floor slope measurement, it was obtained that the average error were 0.51% and 0.49% for x-axis and y-axis respectively.]]>
<![CDATA[Desain Robot Holonomic berbasis Roda Mecanum dengan Arm Manipulator ]]>
<![CDATA[Budi Bayu Murti]]>;
<![CDATA[Tirza Sarwono]]>;
<![CDATA[Esa Apriaskar]]>;
<![CDATA[Fahmizal Fahmizal]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.17365
<![CDATA[Movement systems of a mobile robot in an industry generally use the concept of differential drive or ackerman steering. However, both methods tend to have low mobility. This paper proposes an industrial mobile robot design with a holonomic concept using mecanum wheels to maneuver in all directions with better mobility. As a commonly used robot in the industrial field, an arm manipulator is combined with a mobile robot. The mobile robot and arm manipulator's mechanical design is made using software inventor and utilizing acrylic as its base material. The electronic design of the robot is created using Eagle software. After the robot manufacturing is complete, then a user interface is made using the processing IDE. Several robot tests are conducted to ensure that the designed robot runs appropriately. From the functional test results, parts of the robot can run well. The smallest error obtained is 5 cm for the robot heading test, and the most significant error is 20 cm. The testing of a servo motor, which is the arm manipulator's primary actuator, showed the highest error of only 2 degrees. Besides, the gripper of the arm manipulator can also hold objects properly.]]>
<![CDATA[Sistem Pengenalan Wajah dengan Algoritma Haar Cascade dan Local Binary Pattern Histogram ]]>
<![CDATA[Sayeed Al-Aidid]]>;
<![CDATA[Daniel Pamungkas]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i1.9799
<![CDATA[Recently, the applications of face recognition are increasing significantly. Some methods have already been tried, but the results have not optimal yet. This paper tries to overcome this problem, using haar cascade as face detection algorithm, whereas face recognition uses local binary pattern histogram method. This system uses a webcam as a camera and programming exploit OpenCV library. This system enables to differentiate the face of the human with others objects with the best range from the camera to the object is 50 cm until 150 cm. In addition, this system is capable to recognize faces from the 6 subjects of faces listed in the database, alone and in a group as well in one frame.]]>
<![CDATA[Sinyal Elektrik untuk Memperkaya Pengendalian Robot Jarak Jauh ]]>
<![CDATA[Daniel Sutopo Pamungkas]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 2 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i2.7114
<![CDATA[A remote control operator enables a robot to perform in a hazard or area which can not be reached by humans. To control the robot, several researchers have equipped a robot with a system which can give others types of feedback information, besides of visual feedback from the robot. One of the feedback types is haptic feedback. The aim of this feedback is to make the operator become immersed with the robot. The existing researchers are using electro-mechanics system. However, these systems are complex, bulky, and hence prevent a seamless embodiment between an operator’s body. The objective of this research is to develop a haptic feedback system combined with stereo vision feedback which compact, versatile and easy to fit. This system is tested to accomplish the task using mobile robot and robot arm. The result shows that this system can help the operator to control robot better.]]>
<![CDATA[An Implementation of Measurement System Analysis for IoT-Based Waste Management Development ]]>
<![CDATA[Heru Wijanarko]]>;
<![CDATA[Ari Wira Saputra]]>;
<![CDATA[Ika Karlina Laila Nur Suciningtyas]]>;
<![CDATA[Rifqi Amalya Fatekha]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 4 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i4.26910
<![CDATA[A measurement system is a process that consists of standards, employees, and methods for measuring particular quality characteristics. Measurement System Analysis (MSA) attempts to evaluate a measuring system's precision, accuracy, and consistency so that clients receive high-quality goods. The previous study implements the MSA for machinery and industrial lines, electronics manufacturing, agricultural and poultry, aviation, and even employee monitoring and inspection. Elsewhere, waste management has problems, especially with capacity measurement instruments and weight sensors. This study aims to: (i) build an IoT-based waste management system; and (ii) evaluate the developed system by implementing the MSA technique, focusing on measurement equipment. The Gauge Repeatability and Reproducibility (GRR) Study Type 1, the (GRR) Study, and the Analysis of Variance (ANOVA) are conducted to evaluate the measurement instrument of the waste management system. The study findings that the total variance of the GRR is 20.95 %, and the distinct categories are 6. Thus, as the Automotive Industry Action Group (AIAG) GRR recommendation, the measuring system is marginal (acceptable in certain conditions). Moreover, the ANOVA result indicates that interaction and operators did not affect measurement outcomes because the blue dots remain inside the acceptable range.]]>
<![CDATA[Pendeteksian Harmonisa Arus Berbasis Feed Forward Neural Network Secara Real Time ]]>
<![CDATA[Endro Wahjono]]>;
<![CDATA[Dimas Okky Anggriawan]]>;
<![CDATA[Achmad Luki Satriawan]]>;
<![CDATA[Aji Akbar Firdaus]]>;
<![CDATA[Eka Prasetyono]]>;
<![CDATA[Indhana Sudiharto]]>;
<![CDATA[Anang Tjahjono]]>;
<![CDATA[Anang Budikarso]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i1.15093
<![CDATA[The development of power electronics converters has been widespread in the industrial, commercial, and home applications. The device is considered to produce harmonics in non-linear loads. Harmonics cause a decrease in power quality in the electric power system. To prevent a decrease in power quality caused by harmonics in the power system, the detection of harmonics has an important role. Therefore, this paper proposed feed forward neural network (FFNN) for harmonic detection. The design of harmonic detection device is designed with a feed forward neural network method that it has two stages of information processing, namely the training stage and the testing stage. FFNN has input harmonics and THDi as output. To detect harmonics, frst training is conducted to recognize waveform patterns and calculate the fast fourier transform (FFT) process offline. Prototype using the AMC1100DUB current sensor, microcontroller and display. To validate the proposed algorithm, compared by standard measurement tool and FFT. The results show the proposed algorithm has good performance with the average percentage error compared by standard measurement tool and FFT of 5.33 %.]]>
