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[Novel Area Optimization in FPGA Implementation Using Efficient VHDL Code ]]>
<![CDATA[Z Zulfikar]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 10, No 2 (2012) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v10i2.116
<![CDATA[A new novel method for area efficiency in FPGA implementation is presented. The method is realized through flexibility and wide capability of VHDL coding. This method exposes the arithmetic operations such as addition, subtraction and others. The design technique aim to reduce occupies area for multi stages circuits by selecting suitable range of all value involved in every step of calculations. Conventional and efficient VHDL coding methods are presented and the synthesis result is compared. The VHDL code which limits range of integer values is occupies less area than the one which is not. This VHDL coding method is suitable for multi stage circuits.]]>
<![CDATA[Defect Detection System on Stamping Machine Using the Image Processing Method ]]>
<![CDATA[Nur Wisma Nugraha]]>;
<![CDATA[Suharayadi Pancono]]>;
<![CDATA[Gun Gun Maulana]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 19, No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v19i1.29111
<![CDATA[Quality products are very influential in creating profits for the company and are also closely related to the level of customer satisfaction. The higher the quality of the products produced by a company, the higher the satisfaction felt by consumers. The biggest challenge in the production process is achieving good quality with a product defect rate close to zero defect. Defects in the product are usually small. This is of course very difficult for workers to inspect each product for a long time. Thus, manual inspection is certainly ineffective and inefficient because humans have a saturation point and get tired if they work for a long time. Previous research on detecting defective objects using image processing has been carried out but has not been able to detect up to the shape and size, while in this study it can detect up to the shape and size. Therefore, to implement an automatic product defect detection system we will use image processing and RFID technology. Image processing is processing on the image using a computer so that the image quality becomes better and produces value information for each color. Image processing techniques consist of image conversion from RGB to grayscale, thresholding (binarization), and morphological operations (segmentation). While RFID is an identification method by using a means called an RFID label or transponder to store and retrieve data remotely This study aims to implement a control system on HMI and also a detection system on defect products using a visual inspection system with the aim of getting the machine effectiveness value. One method to get this value is the Overall Equipment Effectiveness (OEE) method. It is proven by implementing a visual inspection system that gets an accuracy rate of 95.97% to detect rejected products and optimize the OEE presentation value obtained. In this study, the implementation of the production monitoring system was successfully implemented with an average OEE value of 52.49%. ]]>
<![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[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[Skalabilitas Signal to Noise Ratio (SNR) pada Pengkodean Video dengan Derau Gaussian ]]>
<![CDATA[Agus Purwadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 11, No 3 (2015) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v11i3.2243
<![CDATA[In video transmission, there is a possibility of packet lost an d a large load variation on the bandwidth. These are the source of network congestion, which can interfere the communication data rate. This study discusses a system to overcome the congestion with Signal-to-noise ratio (SNR) scalability-based approach, for the video sequence encoding method into two layers, which is a solution to decrease encoding mode for each packet and channel coding rate. The goal is to minimize any distortion from the source to the destination. The coding system used is a video coding standards that is MPEG-2 or H.263 with SNR scalability. The algorithm used for motion compensation, temporal redundancy and spatial redundancy is the Discrete Cosine Transform (DCT) and quantization. The transmission error is simulated by adding Gaussian noise (error) on motion vectors. From the simulation results, the SNR and Peak Signal to Noise Ratio (PSNR) in the noisy video frames decline with averages of 3dB and 4dB respectively.]]>
<![CDATA[Mangosteen Flesh Condition Detector Based on Microwave Non-destructive Technique Using Spiral Resonator Sensor’s ]]>
<![CDATA[Cahyo Mustiko Okta Muvianto]]>;
<![CDATA[Muhammad Afrizal G. Rasyda]]>;
<![CDATA[Suthami Ariessaputra]]>;
<![CDATA[Kurniawan Yuniarto]]>;
<![CDATA[Sudi Mariyanto Al Sasongko]]>;
<![CDATA[Budi Darmawan]]>;
<![CDATA[Syafaruddin Ch]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i1.23761
<![CDATA[The mangosteen fruit has a characteristic thick skin, so it is difficult to know the condition of the flesh. Farmer can only know damage to the fruit flesh after the fruit skin had opened. Detection of the quality of the mangosteen flesh can be detected using a sensor capable of penetrating the thickness of the mangosteen rind. Flesh quality detection is carried out based on the S21 value (attenuation of mangosteen flesh value) using a portable device equipped with a sensor and capable of emitting microwaves. The S21 value of the fruit's flesh was measured using a spiral resonator that functioned as a sensor. The prototype device consists of an oscillator circuit, a power splitter, and a phase detector with 2507 MHz. Fruit flesh had divided into two conditions: damaged for fruit flesh with yellow sap or Translucent Flesh Disorder, and suitable condition for clean fruit flesh. The results showed that the fruit flesh had an average S21 value of 7.041 dB for damaged flesh and 6.007 dB for good flesh condition. The difference in the value of S21 had used as a reference for detecting the shape of the fruit flesh, with the detection threshold calculated by the Support Vector Machine, resulting in a threshold value of 6.712 dB.]]>
<![CDATA[Perancangan dan Penerapan Algoritme 4DES (Studi Kasus Pada Keamanan Berkas Rekam Medis) ]]>
<![CDATA[Yeni Yanti]]>;
<![CDATA[Teuku Yuliar Arif]]>;
<![CDATA[Rizal Munadi]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 12, No 3 (2016) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v12i3.3271
<![CDATA[Information is necessary for life because everything can not be done properly in the absence of information. The security problem is one of the most crucial aspects of a file containing sensitive information, for example, medical record files. Often, the file owner, designer, and manager of the information systems pay less attention to the security issues. One way to anticipate this is by using a cryptographic method, which is the science and art to keep the message security. This study aimed to evaluate the performance analysis and building a security system prototype of medical record files using the 4DES algorithm. The 4DES algorithm is a variant of the 3DES algorithm that is more robust and capable of protecting information properly. The 4DES security system has four keys; each key has a key length of 64 bits so that the total length of four keys is 256 bits and K1≠K2≠K3≠K4. The encrypted / decrypted files (Word, Excel, and Image) using an external key of minimum eight characters (64 bits). During encryption, there was an addition of padding bytes in each of data block size to minimalized attack from the attacker using a CBC operation mode process. Results showed that the processing speed of the encrypted files using the 4DES was 1 second faster than that of using the 3DES algorithm. Also, the 4DES algorithm has superiority regarding of file safety, which has time enduring 3.45 x1056years longer to brute force attack technique which able to discover text file and the secret key.]]>
<![CDATA[Studi Perbandingan HSDPA pada Telkomsel Flash Dan IndosatM2 Di Kota Banda Aceh ]]>
<![CDATA[Muhammad Irhamsyah]]>;
<![CDATA[Putri Rizky Febriani]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 9, No 2 (2010) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v9i2.169
<![CDATA[HSDPA adalah sebuah protocol komunikasibergerak yang berteknologi 3,5G (third generation) yangtermasuk dalam keluarga teknologi High Speed PacketAccess (HSPA) yang mampu meningkatkan kecepatantransfer data dan kapasitas data lebih besar pada jaringanyang berbasis Universal Mobile Telecomunication System(UMTS). HSDPA mendukung kecepatan downlink sebesar1,8 Mbps, 3,6 Mbps, 7,2 Mbps dab 14,4 Mbps.Dalam penelitian ini akan dibandingkan layanan HSDPAdari TELKOMSEL FLASH dan INDOSAT IM2 dari satulakokasi ke lokasi lainnya untuk setiap perbedaan waktu danbesar kapasitas datanya.Hasilnya di peroleh kecepatan akses data Telkomsel FLASHsedikit lebih unggul dari IM2. Telkomsel FLASH memilikikecepatan akses maksimum sampai 3,2 Mbps dan INDOSATIM2 mencapai 2,6 Mbps. Kedua operator selular ini telahmemiliki akses kecepatan tinggi yang cukup bersaing dandapat memberikan kepuasan tersendiri untuk masing-masing konsumennya.]]>
<![CDATA[Desain Prototype Sistem Kendali dan Pelacakan Pada Mesin Boat ]]>
<![CDATA[Rizky Edi Saputra]]>;
<![CDATA[Suci Aulia]]>;
<![CDATA[Syahban Rangkuti]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i2.19900
<![CDATA[Indonesia is an archipelago country with more than 70% of its territory consisting of water. Due to these geographical conditions, many Indonesian people rely on water transportation as a means of crossing transportation. However, many of the crossings in Indonesia still use a manual control system in determining the direction of the boat. In this study, a prototype control and tracking system designed for a boat engine can be used as an automatic control system (autopilot) in water transportation. This system is created using a waypoint control system that can navigate automatically to a predetermined location. This control system is designed with an electric control system that utilizes a microcontroller, GPS (Global Positioning System) module, and compass module as a navigation control device. From the test results, it can be concluded that the level of accuracy of the GPS coordinates reading is as far as 4.8 meters and based on the test of the waypoint navigation system , the system accuracy level is 10.8 meters.]]>
