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[Hybrid Deep Learning Models Using LSTM with Random Forest for Radio Frequency-Based Human Activity Recognition in Line-of-Sight and Non-Line-of-Sight Environments ]]>
<![CDATA[Andriano, Niko]]>;
<![CDATA[Pribadi, Feddy Setio]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 2 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i2.44828
<![CDATA[Human activity recognition (HAR) has become an important field of study because of its wide range of applications in healthcare, security, and smart living systems. Radio frequency (RF)-based HAR offers a non-invasive and privacy-preserving alternative to traditional vision-based systems. This study proposes a hybrid deep learning model combining long short-term memory (LSTM) networks with Random Forest classifiers for RF-based HAR, aiming to improve recognition accuracy across diverse environments. The model was evaluated using channel state information (CSI) and received signal strength indicator (RSSI) features under line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. synthetic minority over-sampling technique (SMOTE) was integrated to balance the dataset and K-fold cross-validation was employed to assess robustness. The dataset included data from 8 subjects performing 10 different activities. The model achieved high classification accuracy, with 99.40% in Environment 1 (LOS), 97.58% in Environment 2 (LOS), and 98.30% in Environment 3 (NLOS), demonstrating the models adaptability and effectiveness. The results highlight the potential of the hybrid LSTM with random forest approach for scalable and reliable RF-based HAR systems that can be integrated into real-world Internet-of-Things (IoT) applications.]]>
<![CDATA[Authentication of an Indonesian ID Card with Simultaneous NFC and Face Recognition ]]>
<![CDATA[Chairullah, Chairullah]]>;
<![CDATA[Away, Yuwaldi]]>;
<![CDATA[Oktiana, Maulisa]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 2 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i2.41142
<![CDATA[Identity (ID) card forgery remains a significant issue in Indonesia, often leading to crimes such as identity theft and fraud. To address this challenge, this study proposes the development of an identity authentication system that integrates near field communication (NFC) and facial recognition based on K-nearest neighbors (KNN) algorithm. The primary objective of this system is to enhance the security of ID card (KTP) data and to ensure efficient and accurate access to services requiring identity verification. The system stores facial data and ID card information securely in Firebase, which serves both as a user authentication platform and a secure cloud-based storage solution. The application, developed using Flutter, incorporates facial recognition for biometric verification, while NFC is employed as an additional authentication layer to provide dual-factor verification and reinforce identity security. Experimental results demonstrate that the facial recognition based on KKN achieved an accuracy rate of 100% with a false acceptance rate (FAR) of 0%, indicating a highly reliable performance. These findings confirm that the integration of facial recognition and NFC technologies offers a robust and effective solution to combat ID card forgery, thereby improving the overall reliability and security of the population data authentication system in Indonesia.]]>
<![CDATA[Featuring Software Defined Radio in Airports for Finding Automatic Descendants Surveillance ]]>
<![CDATA[Arief Epti Nur Putra, Ardian]]>;
<![CDATA[Pamungkas, Wahyu]]>;
<![CDATA[Wicaksono, Agung]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 2 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i2.40764
<![CDATA[As air traffic becomes more complicated, more effective monitoring systems are required to assure aviation safety and security. Automatic Dependent Surveillance-Broadcast (ADS-B) technology has become the international standard for real-time airplane tracking, however typical ADS-B receivers used in airports are expensive and frequently unavailable. This study seeks to assess the dependability and efficiency of Software Defined Radio (RTL-SDR) as a low-cost option for receiving ADS-B signals. The study focuses on the development of a 1090 MHz PCB antenna coupled to an RTL-SDR device, with data processed using RTL1090 software and visualized using Virtual Radar Server. Testing took place at two airports: Yogyakarta International Airport (YIA) and Wirasaba Airport. The results show that the system can identify aircraft within a range of up to 400 km at YIA and 250 km at Wirasaba, with the received data providing precise information on aircraft position, altitude, and speed. The system spotted four airplanes in Wirasaba and nine at YIA, indicating that the latter location has broader coverage. These findings show that RTL-SDR is a dependable and cost-effective option for ADS-B signal reception, with the potential to replace more expensive conventional receivers used in airports.]]>
<![CDATA[Implementation of IoT-based SCADA in MPS Processing Station Integrated with CtrlX Automation ]]>
<![CDATA[Maulana, Gun Gun]]>;
<![CDATA[Mada, Ridwan]]>;
<![CDATA[Rokhim, Ismail]]>;
<![CDATA[Rudiansyah, Hendy]]>;
<![CDATA[Suhada, Muhammad Giri]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 2 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i2.40848
<![CDATA[The increasing complexity of industrial automation technology today requires industries to upgrade their existing systems, such as IoT-based SCADA, which allows for real-time production monitoring from anywhere. However, to achieve this, a system is needed that does not affect or halt the production process and does not require replacing the existing system during the upgrade process. Therefore, a system that can adapt to the existing one is necessary. This research aims to implement an IoT-based SCADA system in an existing plant by integrating the system with ctrlX Automation to address this issue. The implementation is carried out in several stages. The first stage involves integrating the plant controlled by the Omron CP1L PLC with ctrlX Automation. The second stage is creating tags for the SCADA system using tools installed on ctrlX Automation. The third stage involves developing the user interface. The fourth stage is the remote access communication process for the IoT system using the OpenVPN Cloud tool. The test results show that the integration between the Omron CP1L PLC and ctrlX Automation was successful, with a 100% tag retrieval rate from the Omron CP1L PLC, and the data could be visualized. The user interface can be accessed, and remote access can be performed on different networks and locations using the OpenVPN Cloud tool. During testing, the average data transfer write-read delay with one address/tag during remote access was 61.3ms, and for the write-read test with three addresses simultaneously, the average was 78.1ms. Based on these results, the data transfer process using ctrlX Automation integrated with the Omron CP1L PLC can be categorized as very good.]]>
<![CDATA[LoRa-Based IoT Recommendations for Surabaya City Drainage Channel Using Multi-Node Multi-Hop Communication ]]>
<![CDATA[Izzulhaq, Muhammad Arya]]>;
<![CDATA[Widodo, Rusminto Tjatur]]>;
<![CDATA[Oktavianto, Hary]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 2 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i2.45095
<![CDATA[This paper focuses on the development of a multi-hop LoRa (Long-Range) communication network for real-time monitoring of urban drainage Internet of Things (IoT), specifically simulating the flood-prone area along the drainage channel of Jalan Jawa, Surabaya City. The novelty of this research lies in the selection of the optimal communication environment through path loss and shadowing analysis prior to implementing a multi-node, multi-hop, sensor medium access control (S-MAC) method. The selected environment at the first location demonstrated a lower path loss exponent of 1.55, typical of "in-building line-of-sight," compared to the second location with a loss exponent of 2.82, which resembled "urban area cellular radio." Applying the multi-hop technique successfully extended the data transmission range up to 750 meters with nodes placed at 250 meter intervals while maintaining a high data transfer rate. The experiments showed that increasing distance significantly reduced the received signal strength indicator (RSSI), with values dropping from -52.75 dBm at 150 meters to -98.25 dBm at 750 meters. This paper demonstrates the feasibility of using multi-hop communication rather than the conventional multi-node technique to ensure reliable data transmission and wider range, offering a solid foundation for building a robust communication network in urban drainage monitoring systems.]]>
<![CDATA[A Single Phase Active Front-End Converter for Unity Power Factor ]]>
<![CDATA[Murdianto, Farid Dwi]]>;
<![CDATA[Sudiharto, Indhana]]>;
<![CDATA[Nizar, Ahmad Hisam]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 2 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i2.33502
<![CDATA[A rectifier is an electronic circuit that converts Alternating Current (AC) into Direct Current (DC). This circuit is very important in many electronic applications, especially in power supplies, battery chargers, and other equipment requiring a DC power supply. Conventional rectifiers use diodes or thyristors as rectifying components. Although a rectifier that uses a diode is generally effective and easy to apply in converting AC to DC, the diode or thyristor component has several drawbacks when used as a rectifier, namely the low power factor on the supply side. To overcome these deficiencies, this paper presents the topic of front-end converter which uses Insulated Gate Bipolar Transistor (IGBT) components as a substitute for diode and thyristor components. IGBT is an active component so a SPWM signal is needed to regulate this IGBT so that it can work. In this front-end converter, to achieve unity power factor results on the supply side, SPWM is used so that it can adjust the current waveform on the supply side to be in phase with the voltage waveform on the source side. The front-end converter presented in this paper has also added the load on the AC side to prove the work of the Front-End Converter.]]>
<![CDATA[Design of Deep Learning-Based Pressure Injury Stage Classification Device ]]>
<![CDATA[Priharti, Wahmisari]]>;
<![CDATA[Mukhtar, Husneni]]>;
<![CDATA[Prastha Giriwara, I Made]]>;
<![CDATA[Andi Majesta, I Made]]>;
<![CDATA[Bena Bimantara, Wayan Abin]]>
<![CDATA[ Jurnal Rekayasa Elektrika Vol 21, No 2 (2025) ]]>
Publisher : <![CDATA[Universitas Syiah Kuala ]]>
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DOI: 10.17529/jre.v21i2.41353
<![CDATA[Pressure injury or pressure ulcers could occur due to continuous pressure on the bony prominence of the skin and tissue. Geriatric patients, especially those with limited mobility and several comorbidities, are more susceptible to pressure injury. Stage classification of pressure injury is currently carried out qualitatively and requires clear communication with the patient. This is often not possible in elderly patients due to lack perception of pain causing late detection of pressure injury until they have reached a severe level and can endanger the patient's life. This study proposes a non-contact device in the form of a camera integrated with a convolutional neural network (CNN) model with MobileNet architecture to classify the level of pressure injury. Testing showed a classification accuracy of 83.3% with an average classification duration of 2.24 s. This aiding device is considered to have great potential to improve faster and more accurate pressure injury assessment in clinical settings.]]>
