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[Desain Sistem Pendeteksi untuk Citra Base Sub-assembly dengan Algoritma Backpropagation ]]>
<![CDATA[Kasdianto Kasdianto]]>;
<![CDATA[Siti Aisyah]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 1 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i1.4368
<![CDATA[Object identification technique using machine vision has been implemented in industrial of electronic manufacturers for years. This technique is commonly used for reject detection (for disqualified product based on existing standard) or defect detection. This research aims to build a reject detector of sub-assembly condition which is differed by two conditions that are missing screw and wrong position screw using neural network backpropagation. The image taken using camera will be converted into grayscale before it is processed in backpropagation methods to generate a weight value. The experiment result shows that the network architecture with two layers has the most excellent accuracy level. Using learning rate of 0.5, target error 0.015%, and the number of node 1 of 100 and node 2 of 50, the successive rate for sub-assembly detection in right condition reached 99.02% while no error occurs in detecting the wrong condition of Sub-assembly (missing screw and wrong position screw).]]>
<![CDATA[Pengukuran dan Analisa Kinerja Jaringan HSDPA di Kota Banda Aceh ]]>
<![CDATA[Teuku Yuliar Arif]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 9, No 1 (2010) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v9i1.173
<![CDATA[Banyak faktor yang dapat mempengaruhi kualitasdan kestabilan koneksi HSDPA. Dalam penelitian inidifokuskan pada pengukuran dan analisa kinerja jaringanHSDPA dengan parameter-parameter user data throughput,round trip time, dan packet loss. Dari hasil pengukuran dananalisa data diperoleh nilai user data throughput rata-ratasebesar 600,46 kbps dan maksimum sebesar 1262,40 kbps.Nilai round trip time rata-rata yang diperoleh yaituindosatm2 sebesar 332,15 ms, Google sebesar 192,90 ms, danYahoo sebesar 342,88 ms. Nilai packet loss tertinggi terjadipada sore dan malam hari yaitu masing-masing sebesar6,35% dan 6,40%. Hal ini disebabkan oleh pembebananjaringan pada waktu-waktu tersebut sangat padatdibandingkan waktu-waktu lainnya.]]>
<![CDATA[Sistem Keseimbangan Robot ERISA Pada Bidang Miring Menggunakan Kontrol PD dan Sensor Fusion ]]>
<![CDATA[Novian Fajar Satria]]>;
<![CDATA[Ali Husein Alasiry]]>;
<![CDATA[Bambang Sumantri]]>;
<![CDATA[Risma Dian Alamri]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 17, No 3 (2021) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v17i3.18762
<![CDATA[The world of robotics is currently developing; many robots are created to help humans work in carrying out daily activities. Various types of robots have been created, one of which is a type of robot that resembles a human body (humanoid). Humanoid robots are developing in many countries, including Indonesia. In its development, the walking technique is a major factor in making humanoid robots. Humanoid robots have the ability to walk like humans by balancing their body positions while walking, so they don’t fall. In maintaining this balance, a tilt detection system for the robot’s position and a balancing system is needed when the robot is about to fall. So, to overcome this problem, implementation is carried out using the sensor fusion method at the output of the sensors that are used to minimize noise or interference with the sensor output value. The accuracy of the sensor output value on the position angle tilt detector can help the robot provide a balancing act. By implementing a PD control system and sensor fusion consisting of a Kalman filter and a complementary filter, the robot was successfully carried up and down the plane to a maximum slope of 12 °.]]>
<![CDATA[Sistem Portable Dashboard Berbasis Android untuk Mobil Listrik ]]>
<![CDATA[Bambang Sumantri]]>;
<![CDATA[Anggita Abimayu]]>;
<![CDATA[Ni’am Tamami]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 14, No 3 (2018) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v14i3.11826
<![CDATA[In the development of an electric car, many things should be considered for making it an environmentally friendly vehicle and therefore it is suitable for public use, one of them is the dashboard system. A dashboard is an interface device that connects the driver with the electrical and mechanical systems of the vehicle. In this study a dashboard system was developed to display information about electrical aspects of electric cars. The dashboard system is packaged in an Android-based smartphone that is placed on the steering wheel of the car using Bluetooth transmission. The system that is made is portable and universal on all Android smartphones so that with this system the driver can monitor the electrical condition easily and conveniently. The parameters displayed are battery voltage and capacity, current consumption, BLDC motor rotational speed, motor temperature, battery temperature, car speed and energy consumption. This system creates a reading value for each parameter that corresponds to the ratio of the standardized measuring instrument with an average error of 0.38% for the voltage sensor, 1.06% for the current sensor, 1.21% and 2.98% for the temperature sensor, 0.07% for the speed sensor and the use of the coulomb counting method for reading the state of charge (SoC) value produces an average error of 1.57%. By comparing the value of energy consumption reading with a standard wattmeter, we obtained an average difference of 1.69%.]]>
<![CDATA[Sistem Kontrol pada Automated Guided Vehicle Beroda Mekanum menggunakan Sliding Mode Controller ]]>
<![CDATA[Muhammad Faiz]]>;
<![CDATA[Bambang Sumantri]]>;
<![CDATA[Bima Sena Bayu Dewantara]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 19, No 1 (2023) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v19i1.28127
<![CDATA[The production in industry, are involving distribution to transport the goods. Recently, distribution activities are using unmanned vehicle, that is Automated Guided Vehicle (AGV). In real condition, AGV are facing environment with complexity of high uncertainity and unlinearity. Because of this, robust control method could be considered to be used to improve the control performance. For instance, Sliding Mode Control has good robustness to the uncertainity of the system and disturbances. However, the chattering phenomenon is one of the major issues of the sliding mode control. This phenomenon could damage the motor. This research aim to reduce chattering and improve the control performance, with modifying signum function to saturation function. This research are using ROS, V-Rep and microcontroller. Microcontroller for processing algorithm and another function. Moreover, saturation function had succcessfully reducing rise time about 30%, overshoot 16% and RMSE 0.21%.]]>
<![CDATA[Vol. 16, No. 2, Agustus 2020 ]]>
<![CDATA[Jurnal Rekayasa Elektrika]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 16, No 2 (2020) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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<![CDATA[PenerbitJurusan Teknik Elektro dan KomputerFakultas Teknik Universitas Syiah KualaAlamat RedaksiJurusan Teknik Elektro dan KomputerFakultas Teknik Universitas Syiah KualaJl. Tgk. Syech Abdurrauf No. 7, Banda Aceh 23111Telp/Fax: 0651-7554336e-mail: jre@unsyiah.ac.idWebsite: http://jurnal.unsyiah.ac.id/JRE]]>
<![CDATA[Pengenal Gerakan dengan Joystick Akselerometer Menggunakan Filter Kalman ]]>
<![CDATA[Khoirudin Fathoni]]>;
<![CDATA[Dhidik Prastiyanto]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 13, No 3 (2017) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v13i3.8570
<![CDATA[Human Machine Interaction keeps growing and developing, one of development is through gesture recognition that detects acceleration in a movement. This technology has been applied in joystick Wiimote and Wii-nunchuk by Nintendo that is widely used all over the world. Two main challenges in using accelerometer are to eliminate the noise of the sensor and to cancel the detected gravity acceleration when the joystick is tilted. The noise and gravity acceleration may influence the data reading and create error accumulation, respectively. This work proposes an implementation of Kalman Filter and also a simple technique to eliminate the influence of the gravity acceleration as a solution to solve above problems in using accelerometer of Wii-Nunchuk joystick in Board Arduino Mega 2560. The experimental results in motionless position show that the filter can reduce the gravity acceleration. We have to set the initial value of q and R parameters in the estimation of position, speed, and acceleration using Kalman filter. Once R is decided, the change of q will determine Kk gain, and it will locate the poles of the observer that influence the stability and the estimation result. With R=0.00005 and q=1, the poles of Kalman filter are located in the unit circle so that the estimation is stable and appropriate with the data from the sensor and even cancel the noise.]]>
<![CDATA[Portable Battery Charger Berbasis Sel Surya ]]>
<![CDATA[Budhi Anto]]>;
<![CDATA[Edy Hamdani]]>;
<![CDATA[Rizki Abdullah]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 11, No 1 (2014) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v11i1.1991
<![CDATA[A type of solar battery charger is introduced in this paper. This equipment functions as a medium size rechargeable battery that is needed to move culinary merchants and coastal fishermen living in area which is not supplied by electrical networks. The equipment consists of solar module mounted onto portable mechanical construction, a 12-V 7.5-Ah lead acid battery and charge controller. Solar module charges the battery through charge controller and then the battery can be discharged to power on electric lamps for lightening culinary wagon or fisherman’s boat at night. Charge controller charges the battery with float charging which is implemented by maintaining 13.5 Volt between battery terminals and limiting the charging current to 1.5 Amperes. Charge controller circuit is based on adjustable linear voltage regulator LM338. The battery is of sealed lead acid type. This type of battery is maintenance free and more hygiene than other types of lead acid battery. The field experiment of charging the baterry of 50% residual capacity from 8 am to 4 pm under sunny weather shows that the solar module has charged the battery to its full capacity under battery safe charging conditions.Keywords: portable solar battery charger, float charging, LM338]]>
<![CDATA[Breast Cancer Detection in Mammography Image using Convolutional Neural Network ]]>
<![CDATA[Farrel Fahrozi]]>;
<![CDATA[Sugondo Hadiyoso]]>;
<![CDATA[Yuli Sun Hariyani]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 18, No 1 (2022) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v18i1.23255
<![CDATA[Breast cancer is one of the non-contagious diseases that tends to increase every year. This disease occurs almost entirely in women, but can also occur in men. One way to detect this disease is by observing mammography images. However, mammography images often tend to be blurry with low quality so that it is possible to detect them incorrectly. Therefore, in this study, automatic classification of breast cancer on mammographic images was carried out using the Convolutional Neural Network (CNN). This proposed system uses the VGG16 architecture with a transfer learning system. The proposed system is then optimized using Adam optimizers and RMSprop optimizers. The results of system testing for normal, benign, and malignant classifications obtained an accuracy value of 80% - 90% with the highest accuracy achieved using Adam's optimizers. With this proposed system, it is hoped that it can help in the clinical diagnosis of breast cancer. ]]>
<![CDATA[Pemanfaatan Fasilitas IT untuk Jaringan Pencahayaan LED di Smartroom ]]>
<![CDATA[Mauludi Manfaluthy]]>;
<![CDATA[Sinka Wilyanti]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 15, No 2 (2019) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v15i2.13032
<![CDATA[In this research, proposed lighting in smartroom with PoE technology (Power over Ethernet). IT facility is PoE Switch, Ethernet Cable and LAN network. Smartroom in this study is defined as meeting room in a high rise building that has LAN network. This research is motivated by many lighting lamps that use AC power, when the future use of AC source will be reduced, even with PoE switch voltage source still use AC, but can eliminate the pitch of light that still uses conventional AC. Building infrastructure systems tend to be developed towards IP protocols. An area where the electrical area becomes fully integrated into the IP network. This is made possible through the use of LED with low voltage and low current. However, in order to utilize the technical and economic advantages offered by LED Lighting Solutions, the addition of light sensor and motion as a switch will make it more complete. The results of the study obtained a cheaper cost than the use without PoE.]]>
