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[Sistem Mutasi Guru SMK di Kota Manado Menggunakan Metode Fuzzy Simple Additive Weighting (F-SAW) ]]>
<![CDATA[Eko Cristian Marthin]]>;
<![CDATA[M. Aziz Muslim]]>;
<![CDATA[M. Fauzan Edi Purnomo]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.18166
<![CDATA[Inter-school teacher exchange has a significant role in achieving good and equitable quality of education. This has become the focus of North Sulawesi’s regional education office, particularly in the city of Manado at the level of the vocational high School (SMK). Inter-school teacher exchange, which still works on the basis of Microsoft Excel manually, is an obstacle to transparent and objective decision-making. Decision Support Systems (DSS) can be a solution to these problems. In this study, the Fuzzy Simple Additive Weighing (F-SAW) method was used for a web-based DDS. This test is carried out on five sample data through calculations using Ms. Excel and the DSS system with the acquisition of decision values of 0.91 and 0.93, respectively. ]]>
<![CDATA[Miniaturisasi Antena Mikrostrip Pencatu Ganda Menggunakan Metode Peripheral Slit ]]>
<![CDATA[Syah Alam]]>;
<![CDATA[Lydia Sari]]>;
<![CDATA[Indra Surjati]]>;
<![CDATA[Newton Onasie]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.17717
<![CDATA[This research proposes a dual-feed microstrip antenna using a peripheral slit for mobile communication systems. Miniaturization and reduction of the dual feed microstrip antenna’s size have been investigated and explained in this paper. The proposed antenna dimensions are reduced using three pairs of slits while the resonant frequency is 1800 MHz. Based on simulation and optimization results, the proposed antenna dimensions can be reduced by 94.81% compared to conventional multiple feed channel microstrip antennas. These results indicate that the peripheral slits technique has succeeded in reducing the proposed antenna dimensions without changing its frequency. We get a reflection coefficient of -31.65 dB, VSWR of 1,053 at a frequency of 1.95 GHz, and bandwidth of 206 MHz with a frequency range from the measurement process of 1.85 GHz–2.06 GHz with a bandwidth of 210 MHz. Impedance obtained from the proposed antenna is 47.72 ± j0.67 Ω at frequency 1.95 GHz. ]]>
<![CDATA[Desain Camouflage Tower di Kawasan Kota Baru Parahyangan Padalarang-Bandung ]]>
<![CDATA[Hasanah Putri]]>;
<![CDATA[Radial Anwar]]>;
<![CDATA[Dea Farah Amalia]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.19248
<![CDATA[Kota Baru Parahyangan residential area, located in Padalarang sub-district of Bandung, has the quality and coverage of 3G and 4G cellular services that are not optimal, thus it has become a complaint of customers to the cellular providers. Therefore in this article a camouflage tower or Outdoor Distributed Antenna System (ODAS) is designed, which is a unique concept that helps in prividing connectivity in location where conventional tower construction is not permitted due to various regulations. This camouflage tower design aims to increase the number of cellular antennas but with minimal costs, land and human resources. In addition, this camouflage tower design has a high aesthetic value to be implemented in these elite residential areas. From the design and implementation results for 4G, the Reference Signal Received Power (RSRP) value is 70% at a value -90 dBm and Signal-to-Interference Noise Ratio (SINR) 70% at a value 5 dB according to the Key Performance Indicator (KPI) provider standard, while for 3G the Received Signal Code Power (RSCP) value is 70% at a value -78 dBm and Ec / No -12 dB. This shows that the quality and coverage both of 3G and 4G cellular services in this region have reached the target cellular providers.]]>
<![CDATA[Metode Maximum Power Point Tracking (MPPT) dan Boost Converter Menggunakan Fuzzy Logic Controller (FLC) pada Modul Surya ]]>
<![CDATA[Teuku Murisal Asyadi]]>;
<![CDATA[Ira Devi Sara]]>;
<![CDATA[Suriadi Suriadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.17863
<![CDATA[Solar modules have current and voltage characteristics that are non-linear, so efforts must always be made to work at the maximum power point so that no energy is wasted. The characteristics of the solar module will change depending on the level of radiation and temperature which causes the output power of the solar module to fluctuate and become unstable. To reduce oscillations in the output power of the solar module, the Fuzzy Logic Control (FLC) method used using the boost converter. Several studies have been done to maximize the output power of solar panels, one of which is by using namely by using Maximum Power Point Tracking (MPPT). This study aims to obtain the maximum power point in a set of solar modules arranged in series and parallel through the performance of the FLC method. In tracking the maximum power point during normal operation, the fuzzy method works together with a boost converter. Fuzzy-based MPPT was tested on a solar module under several radiation and temperature conditions using Matlab / Simulink software. The Fuzzy design method shows better results compared to other methods. The results obtained show the advantages of the FLC method in terms settling time, power loss, and oscillation at the point of the operating system.]]>
<![CDATA[Pemanfaatan Citra Satelit Google Earth untuk Penilaian Progres Pemulihan Lahan Pasca 15 Tahun Tsunami Aceh di Kecamatan Lhoong, Aceh Besar ]]>
<![CDATA[Ismiatul Ramadhian Nur]]>;
<![CDATA[Syamsidik Syamsidik]]>;
<![CDATA[Saumi Syahreza]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.19402
<![CDATA[The 2004 Indian Ocean Tsunami has changed the land cover of the affected areas. Sixteenth years after the tsunami, studies pertinent to land restoration progress are becoming crucial as one of the needs in assessing the progress of the long-term disaster recovery process. Spatio-temporal land change assessment in a disaster-affected area can be conducted using time-series satellite imagery. One of them is The Google Earth satellite image which has an adequate prior data record. Although it has a single band, the Google Earth satellite imagery has many other advantages: easy access, free of charge, and decent resolution for detailed mapping. This research aims to assess the progress of land restoration by utilizing Google Earth satellite imagery. The applied method is visual observation and on-screen digitization process by Google Earth Pro and QGIS. This study provides outcomes of the trend of land transformation after the tsunami, which shows that the rice fields and ponds have not recovered to the condition before the tsunami. Meanwhile, the length of the road and building area have exceeded the pre-tsunami time. The entire land uses show an increasing trend with varying percentages from 2010 to 2020. This research is essential to carry out as an initial assessment of the long-term recovery process, especially related to the livelihood conditions of survivors after the 15 years of the tsunami, which is monitored through land cover. ]]>
<![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[Sistem Navigasi Automated Guided Vehicle Berbasis Computer Vision dan Implementasi pada Raspberry Pi ]]>
<![CDATA[Florentinus Budi Setiawan]]>;
<![CDATA[Oei Jevon Aldo Wijaya]]>;
<![CDATA[Leonardus Heru Pratomo]]>;
<![CDATA[Slamet Riyadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.18087
<![CDATA[In the current technological development era, many companies compete to produce robots that can help humans work significantly to streamline time and energy in creating an item. One of the robots being developed in this industrial area is Automated Guided Vehicle (AGV). AGV is a robot for transporting goods whose path and direction automatically. This journal will discuss the navigation system and mobility on the AGV. They are using four-wheel type Omni wheels and a DC motor as a drive. The wheel is used to adjust the direction of motion both forward, backward, right, and left. For movement settings automatically, controlled via computer vision. Using the navigation system by following a pattern in the form of instructions using the camera as a sensor to determine the current AGV. Due to the nature of the navigation method employed, the yield of vehicle trails can be very suboptimal, especially in messy warehousing environments.]]>
<![CDATA[Sistem Navigasi Kursi Roda Elektrik untuk Pasien Penyandang Cacat Fisik Menggunakan Metode Convolutional Neural Network ]]>
<![CDATA[Sutikno Sutikno]]>;
<![CDATA[Khairul Anam]]>;
<![CDATA[Azmi Shaleh]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.16376
<![CDATA[Patients with physical disabilities, such as losing a leg or experiencing paralysis, will have difficulty moving from one place to another. As a result, they need someone or a device that can help them to move. One that is often used by patients is a wheelchair. This study proposes an electric wheelchair navigation system that can be controlled by voice commands using the Convolutional Neural Network (CNN) method. CNN is used as the main method for identifying commands embedded on the Raspberry Pi microcontroller. The recorded voice data is then converted to spectrogram images before being fed to CNN. This method is proven to be better in voice command recognition with an accuracy of above 90%. There are five different voice commands: forward, backward, left, right, and stop. Preliminary experimental results indicate that the electric wheelchair is able to move according to the commands given.]]>
<![CDATA[Perancangan Aplikasi Web untuk Pemantauan dan Pengendalian Sistem Panel Surya Berbasis Long Range Wide Area Network (LoRaWAN) ]]>
<![CDATA[Msy Yustenti Nabila P]]>;
<![CDATA[Muhammad Arrofiq]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.18158
<![CDATA[Light or sunlight can be converted into electricity using solar panel technology. The measurement process is needed on current and voltage parameters to determine whether a solar panel is working correctly or not. The application of the Internet of Things (IoT) is a suitable method for monitoring efficiency measurements on solar panel performance in real-time by combining several computational components, protocols, and sensors to interact more quickly and help all activities become more efficient. One IoT technology that can work efficiently is the Long Range Wide Area Network (LoRaWAN). LoRa communicates using radio frequencies with a wide coverage range and has a low power consumption level. In this study, the implementation of LoRaWAN technology as a communication protocol between three series of nodes and one gateway in building a solar panel system is then visualized on a web that can monitor currents and voltages in the form of graphs and numbers. Displays notifications when there is a change in the condition of the large voltage from the solar panel can control the state of turning on or off the lights and turning off the whole node, and displaying a history of current and voltage readings. The functionality of the system will later be tested using black-box testing. There was also a distribution of questionnaires to 35 respondents to measure the level of agreement that the system designed was running well. ]]>
<![CDATA[Perbandingan Antara Domain Waktu dan Frekuensi untuk Pengenalan Sinyal EMG ]]>
<![CDATA[Daniel Pamungkas]]>;
<![CDATA[Sumantri R Kurniawan]]>;
<![CDATA[Benrico F Simamora]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 1 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i1.16844
<![CDATA[One way to recognize hand gestures is to use signal electromyography (EMG). The processed signal can use the time domain, frequency domain, or a mixture of the two domains. Meanwhile, the classification method that is widely used recently is the classification of Artificial Neural Networks (ANN). This paper presents a comparison study between time domains with frequency domain for EMG signals using ANN classification. This comparison aims to find out a better method for controlling the hand robot. The time domain features are root mean square (RMS) of the signal, while the signal’s octave band becomes a feature of the frequency domain. The EMG signals were obtained from the subject with eight fingers gestures. The results of this classification are used to control the robot’s hand. The success of each method in recognizing hand movements was counted. In addition, the response speed of the robot in changing positions is measured. The results showed that features using the frequency domain had a higher percentage of success than another domain. But the speed and memory used then the system using signals in the time domain is better.]]>
