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[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.]]>
<![CDATA[Perbandingan Metode Klaster dan Preprocessing Untuk Dokumen Berbahasa Indonesia ]]>
<![CDATA[Amalia Amalia]]>;
<![CDATA[Maya Silvi Lydia]]>;
<![CDATA[Siti Dara Fadilla]]>;
<![CDATA[Miftahul Huda]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i1.9027
<![CDATA[Clustering is an unsupervised method to group multiple objects based on the similarity automatically. The quality of clustering accuracy is determined by the number of similar objects in a correct cluster group. The robust preprocessing process and the choice of cluster algorithm can increase the efficiency of clustering. The objective of this study is to observe the most suitable method to cluster document in Bahasa Indonesia. We performed tests on several cluster algorithms such as K-Means, K-Means++ and Agglomerative with various preprocessing stages and collected the accuracy of each algorithm. Clustering experiments were conducted on a corpus containing 100 documents in Bahasa Indonesia with a commonly used preprocessing scenario. Additionally, we also attach our preprocessing stages such as LSA function, TF-IDF function, and LSA / TF-IDF function. We tested various LSA dimension reductions values from 10% to 90%, and the result shows that the best percentage of reduction rates between 50%-80%. The result also indicates that K-Means++ algorithm produces better purity values than other algorithms.]]>
<![CDATA[Robot Pointer sebagai Penunjuk Jalan Tim SAR untuk Mempermudah Pencarian Korban Bencana Gempa ]]>
<![CDATA[Syadza Sausan]]>;
<![CDATA[Bima Sakti]]>;
<![CDATA[Hendrik Leo]]>;
<![CDATA[Achmi Yuliani]]>;
<![CDATA[Intan Permatasari]]>;
<![CDATA[Aulia Rahman]]>;
<![CDATA[Mohd Syaryadhi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 2 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i2.7761
<![CDATA[An earthquake is a natural disaster caused by the movement of the earth plates or from below the Earth surface. The impact of the earthquake could lead casualties and other losses whether material or immaterial. The evacuation process of the victims must immediately proceed. The SAR (Search and Rescue) team has a duty to rescue victims who trapped in the rubble of the building. But information about the position of the victims could not be known precisely, and the environment around the location of the disaster is still very dangerous that might endanger the safety of SAR Team. In this research, a robot path pointer was designed to help SAR team in locating the victims. The method used in this research is the robot wirelessly controlled by SAR team at SAR team’s post with remote control. The robot searches in the rubble of the building and sends the victim’s location information to SAR team. This robot pointer research aims to find safe routes for SAR team of the victim’s location to reduce the risks that may harm the SAR team. The robot will give the main results of the pointer in the form of location coordinates and routes of the victim so that the SAR team only have to follow the route. Robot pointer guides the SAR team to the location of the earthquake in a short and less risky path for victim evacuation.]]>
<![CDATA[Designing ANFIS Controller for MPPT on Photovoltaic System ]]>
<![CDATA[Wahyu Setyo Pambudi]]>;
<![CDATA[Riza Agung Firmansyah]]>;
<![CDATA[Yuliyanto Agung Prabowo]]>;
<![CDATA[Titiek Suheta]]>;
<![CDATA[Fathammubina Fathammubina]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 19, No 2 (2023) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v19i2.23394
<![CDATA[Photovoltaics’ current and voltage output characteristics depend on the intensity of solar radiation and temperature. Maximum Power Point works with maximum energy output and has the highest efficiency. The maximum energy point tracking method (MPPT) keeps the solar cell operating point at its maximum point. This study uses the Adaptive Neuro-Fuzzy Inference System (ANFIS) method designed and used to maintain that point. The Perturb and Observe (PnO) method is used to test the results, often used in determining this tracking. Based on the test, it was found that the average power efficiency obtained was 84.79%, and using PnO was 83.87%. The transient response using ANFIS is relatively smoother than that of using PnO, which will cause chattering when there is a change in radiation and temperature.]]>
<![CDATA[A PostgreSQL/PostGIS Implementation for the Sightseeing Tour Planning Problem ]]>
<![CDATA[Ardiansyah .]]>;
<![CDATA[Ruslan Rainis]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 10, No 3 (2013) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v10i3.1011
<![CDATA[This article discusses a procedure for finding the best multi stops route for sightseeing tour through a road network. The procedure involves building a database containing nodes and road network in PostgreSQL, calculating the shortest distance between a pair of nodes using pgDijkstra module, and solving the tour problem using a function written in PL/pgSQL. The function was developed based on the Nearest Insertion Algorithm for solving the Travelling Salesman Problem. The algorithm inserts a sightseeing attraction (node) at the best position in the existing route, which is between a pair of nodes that yields the minimum difference between the total tour time before and after the new node was inserted. The test result shows that the function can solve the problem within acceptable runtime for web application for total destination nodes of 22. It is concluded that the whole procedure was suitable for developing Web GIS application that solve the sightseeing tour planning problem.]]>
<![CDATA[Analisis Pengaruh Waktu Latensi Terhadap Akurasi Sistem SCADA Bacaan Metering Listrik Waktu Nyata Melalui Jaringan Internet ]]>
<![CDATA[Endra Joelianto]]>;
<![CDATA[Fuady Ramdhani]]>;
<![CDATA[Eko Mursito Budi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.16465
<![CDATA[SCADA (Supervisory Control and Data Acquisition) system of electricity metering using the internet network aims to monitor electrical energy remotely by utilizing internet services. The system consists of a meter that measures electric quantities acquired by a server located close to the meter. The client reads data acquired by the server through the internet network. The use of internet networks for data transmission generally results in latency time, which affects the validity of the data read by the client, resulting in reduced cumulative power calculation accuracy. In this article, energy calculations using current, voltage and power factor data on the client are compared with the energy value calculated by the power meter. Errors that occur are used to calculate the accuracy of the system. The experiment resulted in latency times ranging from 110 ms - 11219 ms with an average of 572.3025 ms with valid data ranging from 93% of population data and accuracy values ranging from 99.2974% to 99.8648%. The resulting accuracy is within the ANSI C12.20 standard. ]]>
<![CDATA[Perancangan Rem Linier Memakai Fluida MR dengan Kendali Arus Listrik Berbasis Fungsi Linier ]]>
<![CDATA[Estiko Rijanto]]>;
<![CDATA[Aditya Sukma Nugraha]]>;
<![CDATA[Arif Sugiharto]]>;
<![CDATA[Rifa Rahmayanti]]>;
<![CDATA[Sapdo Utomo]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 3 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i3.8580
<![CDATA[Magneto rheological (MR) fluid has been used in various electro mechanical devices since it has advantages of being able to be controlled by external magnetic force. However, application of the MR fluid for linear brakes is still scarce. This article proposes a new design of linear MR brake. It has multiple magnetic poles, and its core can be connected in series inside the piston. Equations which express relationships between mechanical force and magnetic force as well as magnetic force and electric current have been derived. As a result, a polynomial function was obtained which expressed mechanical force of the brake as a function of electric current. Parameter values of geometric dimension and magnetic permeabilities of components were substituted into the equation, and a control law is proposed to control the brake force by manipulating current using the inverse of a linear function. When electric current of 1 A was supplied into the coil, brake force of 111.4 Newton was obtained. Various values of brake force can easily be realized by controlling electric current based on the derived linear function control law.]]>
<![CDATA[Studi Kasus Kelayakan Penerapan Sistem Hybrid Building Applied Photovoltaics (BAPV)-PLN pada Atap Gedung Politeknik Aceh ]]>
<![CDATA[Rachmad Ikhsan]]>;
<![CDATA[Ira Devi Sara]]>;
<![CDATA[Rakhmad Syafutra Lubis]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 1 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i1.6071
<![CDATA[With the undeveloped BAPV(Building Applied Photovoltaics) at Office Building and Public Facilities, Caused the high price of solar modules and the lack the economic study on the use of solar modules that housed in the Banda Aceh region. Furthermore, the price of solar modules is expensive, so people think it will cost so much funds to building a BAPV’s system. These problems could be overcomed if the existing technical studies and economic studies of the application of the BAPV’s system. This study aims to assess the application of the BAPV’s system on institutions building in terms of technical and economic value, in this case the building that is used as the study object is the Polytechnic Aceh’s Building. The method that used in the technical studies are theoretical calculations and simulations using helioscope software, while the methods used for economic studies is using the methods of cost-benefit analysis (cost benefit analysis). The method used to find the NPV (Net Present Value), PP (Payback Period), IRR (Internal Rate of Return), and BCR (Benefit Cost Ratio). If the average value of solar radiation reaching 4.79 kWh / m2 / day and the average daily energy requirement is 592 kWh, the energy generated from BAPV-PLN hybrid system on the roof of the object building will reach the amount of 237 MWh/year with the capacity charge controller used is 7490 A and the capacity of the battery used is 64.487 Ah. Panel tilt angle used is 25o and the type of panel used is Monocrystalline manifold. From the economic value will obtained NPV value of Rp. 20.022.106.937, PP during 5,2 years, IRR of 36% and 3,49 of BCR. Based on the evaluation results of the feasibility study, the project of hybrid BAPV-PLN’s system on the roof of the Polytechnic Aceh’s building can be realized, because its already meet the criteria of the feasibility study to make the systems get established in real term.]]>
<![CDATA[Antenna MIMO 4 Elemen Untuk Komunikasi 5G pada Frekuensi 3.5 GHZ ]]>
<![CDATA[Ananta Putri Prakusya]]>;
<![CDATA[Dwi Andi Nurmantris]]>;
<![CDATA[Radial Anwar -]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 3 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i3.26673
<![CDATA[Cellular communication technology is experiencing rapid development with the arrival of 5G. This generation targets an increase in data rates and better capacity than the previous generation. MIMO is a technique that can be used to improve the performance of 5G communications. The frequency used this time is the middle frequency because it is considered more likely to be used as a 5G service frequency in Indonesia and has a larger coverage so as to save network development costs. In this study, the design and realization of a four-element MIMO antenna for 5G communication at a frequency of 3.5 GHz was carried out. The antenna used this time is a four-element MIMO antenna that has a monopole-based patch form which is then miniaturized so that the antenna has smaller dimensions. This design produces parameters, such as Return Loss on element one of -10.513 dB, for element two of -10.215 dB, for element three of -17.229 dB, and for element four of -14 dB. The value of element one is 1.84, element two is 1.31, element three is 1.31, and element four is 1.49. Bandwidth value ≥ 1500 MHz, and Mutual Coupling value ≤ -19.254 dB.]]>
<![CDATA[Model Identifkasi Sinyal Jantung Pertama (S1) dan Sinyal Jantung Kedua (S2) pada Janin ]]>
<![CDATA[Ira Puspasari]]>;
<![CDATA[Jusak Jusak]]>;
<![CDATA[Weny Indah Kusumawati]]>;
<![CDATA[Ekasari Oktarina]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i1.14991
<![CDATA[Process of identifying fetal heart sound signals is imperative in recognizing congenital heart function that caused by many factors, such as hereditary factors and food intake of pregnant mothers. This study developed a method for processing heart signals to separate normal fetal phonocardiogram signals from noise by utilizing the Complete Empirical Mode Decomposition (CEEMD) algorithm which is integrated with the Pearson Distance metric. Heart signals that have been separated from noise are then processed using the Shannon Energy equation in order to sharpen the intensity of the first heart signal (S1) and the second heart signal (S2), but at the same time suppress the intensity of the residual noise in the signal. Based on the experiment results from 75 normal fetal heart sound cycles, the model that has been developed is able to identify the S1 signal and S2 signal, the time duration of T11 (S1-S1), and the time duration of T12 (S1-S2). Average duration of T11 and T12 acquired in this research can possibly be used as a reference for measuring the normal duration of fetal heart sound signals.]]>
