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[Penerapan Embedded System pada Sistem Pintar Pengendali Multi Perangkat dalam Kelas berbasis Intel Galileo dan Web ]]>
<![CDATA[Silfia Rifka]]>;
<![CDATA[Firdaus Firdaus]]>;
<![CDATA[Waldito Febri Ramadhan]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 1 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i1.9790
<![CDATA[Smart systems are widely used in smart building, smart home, smart car, smart class, and others. The smart system in this paper is the result of research, exploit module microcontroller Intel Galileo technology and the Internet of Things (IoT) as a controller, which controlled devices connected to the system remote control from a web-based accessible via smart devices (smartphones, tablets, and laptops). Intel Galileo is a microcontroller module that combines a mini computer and Arduino is open source and supports IOT technology and the web. Web selection as a remote control in this research to facilitate system users to be able to control the system remotely by using the existing browsers on smart devices although the operating system is different. The devices controlled in this system are the LED (on-off automatically and setting the intensity of light), air conditioning (on-off automatically, temperature settings), a projector (on-off), and the IP camera (moved up, down, left and right) to monitor the room. All controlled embedded devices to facilitate the control and effective use of smart controllers resulting in a centralized system for multi-devices in the classroom to realize the smart class.]]>
<![CDATA[Pengembangan Metode Pengamanan Data Menggunakan Teknik Interpolasi antar Piksel dan Reduced Difference Expansion ]]>
<![CDATA[Lidya Amalia Rahmania]]>;
<![CDATA[Tohari Ahmad]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 2 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i2.7612
<![CDATA[In this globalization era, the internet has been the main media which everyone used to exchange information, from the public such as sport to top secret such as military data. Hence, the requirement of data hiding method called steganography is rising. Steganography is hiding the secret information into another media so that it could be transferred publicly, but only the authorized users could access it. There were two main problems in the data hiding technique: the capacity of the secret and the quality of the generated stego data. In this proposed method, we combined digital image processing called interpolation, used it to predict the new pixel value to hide the secret bit in purpose to increase the bit data capacity with the consequence the reduction of the stego image quality. The experimental result showed that the capacity has increased from that of the previous research.]]>
<![CDATA[Karakterisasi dari Properti Larutan Garam dengan Range Finder Ultrasonik Menggunakan Metode Transformasi Fourier ]]>
<![CDATA[Ihwan Dwi Wicaksono]]>;
<![CDATA[Agus Indra Gunawan]]>;
<![CDATA[Bima Sena Bayu Dewantara]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 2 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i2.15371
<![CDATA[In this paper we characterize the saline solution using Range Finder Ultrasonic (RFU). RFU is one kind of ultrasonic transducer that requires air as a transmission medium and commonly are used to determine distances. The advantages of this transducer are cheap and common in local market. Since it uses air as medium, the signal which is produced by transducer are easy to shape shift and has a very long noise tail wave. This phenomenon was seen in previous studies, when the transducer position was slightly shifted, the shape of the echo signal became very different. In this paper, we modified the input signal from the technique in the previous paper to improve the echo signal. Some modification of trigger signal from transmitter models were done, then calculate the echo signal to ensure the signal have smallest Signal to Noise Ratio (SNR) and noise tail wave. Furthermore, we did filtering process from echo signal and calculating using Fourier Transform which are performed to obtain accurate echo signal information of 40 KHz frequency. The results of this experiment is an improvement in the average error of calibration curve 0.1224221 (Vrms) and 0.14383881 (Vpeak). While the average error of the results of the normalization of the magnitude Fourier Transform of 40 KHz frequency is equal to 0.096973114. ]]>
<![CDATA[Water Quality Level for Shrimp Pond at Probolinggo Area Based on Fuzzy Classification System ]]>
<![CDATA[Fithrotul Irda Amaliah]]>;
<![CDATA[Agus Indra Gunawan]]>;
<![CDATA[Taufiqurrahman Taufiqurrahman]]>;
<![CDATA[Bima Sena Bayu Dewantara]]>;
<![CDATA[Ferry Astika Saputra]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 19, No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v19i1.28631
<![CDATA[Since several years ago, vaname shrimp (Litopenaeus vannamei) has been extensively cultivated in Indonesia because it has good business opportunities. In aquaculture activities, water quality is an important factor that dramatically impacts the survival and quality of shrimp in the pond. Therefore, information of water quality must be known by the farmer for obtaining a satisfactory harvest. This study aims to develop a water quality monitoring system based on information of temperature, pH, salinity, and dissolved oxygen. The data from sensors are sent to the cloud utilizing Internet of Things (IoT) technology and then classified by a fuzzy logic system. In order to help farmers easily know the water quality of their shrimp pond, four sensor data including the result of classification from fuzzy logic are sent to the phone. After a trial of the system, 100% of the data are successfully sent to the cloud (google spreadsheet). The system also successfully classified the level of water quality as the expectation of the farmer. With this system, it is hoped that it can assist farmers in monitoring the water quality of shrimp pond to improve the quality and quantity of shrimp.]]>
<![CDATA[Analisis Kontingensi Sistem Tenaga Listrik dengan Metode Bounding ]]>
<![CDATA[. Syafii]]>;
<![CDATA[Nurul Rahmawati]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 10, No 2 (2012) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v10i2.139
<![CDATA[The bounding method is one of the contingency analysis method for detecting branch flow violations. Three subnetworks in the bounding method namely N1, N2, and N3 will give information regarding those subnetworks that may not go overload and those that may. This research compared the results from contingency analysis that has been done to the 30 bus system using the bounding method and software PowerWorld Simulator 15 GSO. The result by using the bounding method is 12 lines can go overload for the outage of line 1-2. As well as for the outage of line 1-3 and the outage of line 2-5. Meanwhile, the output of using PowerWorld Simulator 15 GSO with DC power flow method, there are three overloads exist for the outage of line 1-2, three overloads exist for the outage of line 1-3, and five overloads exist for the outage of line 2-5. The overload lines are included in the group of lines that can overload from bounding result.]]>
<![CDATA[Rancang-Bangun Prototipe Sistem Kontrol Berbasis Programmable Logic Controller untuk Pengoperasian Miniatur Penyortiran Material ]]>
<![CDATA[Arief Goeritno]]>;
<![CDATA[Surya Pratama]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 3 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i3.14905
<![CDATA[A miniature sorting of material quality has been made, aided by a prototype of the controller system based on the Mitsubishi FX1N-24MR Programmable Logic Controller (PLC). A number of stages include the manufacture of the conveyor system unit, the electrical system, PLC programming, and performance measurement. The conveyor unit assembling was processed by installing the conveyor belt, dc motor, pneumatic cylinder, solenoid valve, and sensors. The electrical system is an integration of the Mitsubishi FX1N-24MR PLC, switched-mode power supply, miniature circuit breaker (MCB), dc voltage regulator circuit, relays, digital counters, pushbuttons, and selector switches arranged in a 20 x 30 x 15 cm panel box. Mitsubishi PLC system programming is based on algorithmic determination and ladder diagram arrangement assisted by GX Developer (GX Work). Performance measurement in the form of pulse readings is carried out by setting and manufacturing ladder counters and shift registers to count the number of pulses for each material and the accuracy of sorting when the material is detected simultaneously. The system performance is indicated by pulse reading accuracy and sorting timing accuracy. The reading of the pulse from the proximity switch affects the counter calculation to activate the pneumatic cylinder unit in sorting. Sorting for material-A takes 11 pulses, while for material-B, it takes 19 pulses. The synchronization measurement functions when an error occurs in the system in order to maintain the input received is the same as the output in the PLC-based control system. ]]>
<![CDATA[Autonomous Underwater Vehicle untuk Survei dan Pemantauan Laut ]]>
<![CDATA[Henry M. Manik]]>;
<![CDATA[Agung D. Syakti]]>;
<![CDATA[Jales Veva Jaya]]>;
<![CDATA[Dony Apdillah]]>;
<![CDATA[Steven Solikin]]>;
<![CDATA[Angga Dwinovantyo]]>;
<![CDATA[Rina Fajaryanti]]>;
<![CDATA[Bagas O. Siahaan]]>;
<![CDATA[Muhammad Sanubari]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 1 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i1.5964
<![CDATA[AUV is an unmanned submersible platform to accomplish a mission. Side-scan sonar, Conductivity Temperature Depth (CTD), and underwater video camera are usually attached on AUV. These sensors were used for identifying seawater and seabed condition. Data acquired from a survey with an AUV in Kepulauan Riau processed by Neptus software. Side-scan sonar (SSS) visualization is compared to the video image. SSS signal visualization has a unique pattern that can be identified within the video image. Different substrate structure caused different signal visualization. The relation between the video image and SSS visualization can be used for identifying habitat benthic profile.]]>
<![CDATA[Automation Storage System Based On SCADA Using PLC CP1H and CP1L ]]>
<![CDATA[Gun Gun Maulana]]>;
<![CDATA[Ridwan Mada]]>;
<![CDATA[Regim Ramaya Purba]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 3 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i3.26363
<![CDATA[The warehousing system is a means of supporting production activities and industrial operations that function to store goods to be distributed, which are still using a manual system and must adapt to technological developments. The problem that often arises in the warehousing system that is still done manually is that the flow of goods into the warehouse is not well organized, and this makes it difficult when the goods are about to be removed, so it requires a longer search time. Previous research has shown actual data on storage racks that use Arduino Mega as a controller and VB as an interface, but there is no actual data on the state of the lifter or the selection of lifter movement speed modes to facilitate operators in monitoring and operating goods storage. Control systems with industry standards greatly affect the effectiveness and optimization of the production process. Based on these problems, this research aims to simplify the managerial and monitoring process in the warehouse with a prototype of automatic multilevel storage using PLC CP1H and CP1L as system control and Wonderware Intouch as an interface with the SCADA system. The prototype has 12 cells, and each cell can accommodate 2 boxes; each cell is distinguished by the height and color of the box. In testing this research, the SCADA system can work optimally. The interface is capable of displaying the actual data of the rack with a success rate of 100%, the hardware error rate is less than 1%, and the interface can display the actual data on the state of the lifter.]]>
<![CDATA[Hardware Simulation of Rear-End Collision Avoidance System Based on Fuzzy Logic ]]>
<![CDATA[Noor Cholis Basjaruddin]]>;
<![CDATA[Didin Saefudin]]>;
<![CDATA[Anggun Pancawati]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 1 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v16i1.15107
<![CDATA[Rear-end collisions are the most common type of traffc accident. On the highway, a real-end collision may involve more than two vehicles and cause a pile-up or chain-reaction crash. Referring to data released by the Australian Capital Territory (ACT), rear-end collisions which occurred throughout 2010 constituted as much as 43.65% of all collisions. In most cases, these rear-end collisions are caused by inattentive drivers, adverse road conditions and poor following distance. The Rear-end Collision Avoidance System (RCAS) is a device to help drivers to avoid rear-end collisions. The RCAS is a subsystem of Advanced Driver Assistance Systems (ADASs) and became an important part of the driverless car. This paper discusses a hardware simulation of a RCAS based on fuzzy logic using a remote control car. The Mamdani method was used as a fuzzy inference system and realized by using the Arduiono Uno microcontroller system. Simulation results showed that the fuzzy logic algorithm of RCAS can work as designed.]]>
