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Elizar
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INDONESIA
Jurnal Rekayasa elektrika
ISSN : 14124785     EISSN : 2252620X     DOI : https://doi.org/10.17529/hre.v19i1.15128
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 5 Documents
Search results for , issue "Vol 20, No 4 (2024)" : 5 Documents clear
IoT-based Monitoring System for Energy Consumption Costs from Battery Supply Hakim, Muhammad Fahmi; Kusuma, Wijaya; Suudi, Ismail; Ridzki, Imron; Setiawan, Awan; Syamsuri, Tresna Umar
Jurnal Rekayasa Elektrika Vol 20, No 4 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i4.35237

Abstract

A battery must be monitored in real-time to ensure it meets its designed lifetime. Additionally, energy costs from the battery supply must be calculated and controlled to enable solar power plant entrepreneurs to profit practically. This project aims to develop an IoT-based monitoring and controlling system for battery conditions, especially energy consumption costs from battery supply. This system uses an ESP32 microcontroller, INA219 sensor, single channel 5 VDC optocoupler relay, and OLED display. The ESP32 processes the current and voltage from the INA219 sensor and then displays on the OLED display. The parameters displayed include consumed energy costs, current, voltage, power, consumed energy, and used battery capacity. Data is also sent to the Blynk website using IoT, allowing these parameters to be monitored in real time. Based on test results, the average error in calculating energy costs is 0.046%, and other measured or calculated parameters are below 1%. This system can also turn the power flow to the load on and off using the Blynk platform. It can be concluded that the system works well, enabling IoT-based monitoring and control of battery parameters.
Design and Simulation of Single Input Double Output Coupled Inductor Boost Converter with Bisection Method for Independent Home Application Sudiharto, Indhana; Rifadil, Mochammad Machmud; Romadhoni, Muhammad Fauzi; Milchan, Muhamad
Jurnal Rekayasa Elektrika Vol 20, No 4 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i4.34086

Abstract

This paper proposed a converter design that functions as a voltage booster, increasing the input voltage while supplying two load outputs from a single voltage input using only one switch. Known as a single input double output (SIDO) converter, it aims to enhance power efficieny. The bisection method is employed as an output voltage controller through pulse width modulation (PWM) to achieve an optimal voltage value, adjusted to meet the load requirements. The loads used for independent home applications include a 72 V/12 Ah battery and a 24 V/22 W water circulation pump. The output of the high voltage level acts as a battery charger while the output of the low voltage level serves as an energy supply for the water cir-culation pump. The two loads were chosen because they are widely used, aligning with the goal of realizing independent home applications. The simulation test results showed that the voltage output for battery charging in constant voltage mode was 80.6 V, with an error of 0.0515%, and the voltage output for the water circulation pump was 24 V, with an error of 0.33%.
Smart Bracelet for Tracking the Location of Dementia Patients Dewi, Ervin Masita; Nurmajid, Ikhsan Malik; Putro, Trisno Yuwono; Kirana, Nurista Wahyu; Saefudin, Didin
Jurnal Rekayasa Elektrika Vol 20, No 4 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i4.40615

Abstract

The rising number of dementia patients worldwide is a significant concern. Dementia, marked by deteriorating memory, language, problem-solving abilities, and other cognitive skills, affects millions globally. According to the World Health Organization (WHO), over 55 million people currently live with dementia. Dementia's impact on patients, their families, and healthcare systems is substantial. Patients often need continuous supervision and care, posing challenges for caregivers. Wandering is a frequent issue among dementia patients, leading to safety risks and a high chance of getting lost. Innovative technological solutions, such as portable monitoring devices, are crucial in tackling these issues. A smart bracelet with Global Positioning System (GPS) can be vital for ensuring dementia patients' safety. These devices provide real-time location tracking, giving caregivers and family members peace of mind by enabling them to quickly locate patients who wander off. This makes the bracelet highly effective for monitoring dementia patients' locations, as it will send notifications to a messenger application on a smartphone with a link to the patient's location if they move beyond a 20-meter radius from home. The bracelet uses GPS for distance and location tracking. The patient's location is pinpointed by the intersection of latitude and longitude coordinates. The device has a minimal margin of error, with a latitude error of 0.003% and a longitude error of 0.008%.
Optimization of Electrospinning Temperature Control System IoT-Based with DHT21 Widayani, Della Astri; Hikamiah, Luluk Arifatul; Nugroho, Panji Setyo; Ariyanto, Dewa Pascal; Amaratirta, Jasmine Cupid; Harjunowibowo, Dewanto; Rezeki, Yulianto Agung
Jurnal Rekayasa Elektrika Vol 20, No 4 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i4.37537

Abstract

Electrospinning is a method of making nanomaterials that has a fairly easy and flexible process that can produce nanofiber continuously. Nanofiber morphology from the electrospinning process is influenced by several parameters, one of them is temperature as an environmental parameter. If there is no temperature control system in the electrospinning system, it will be difficult to maintain the consistency of the morphology nanofiber and at certain temperatures, nanofibers are not formed. Therefore, this study aims to develop a temperature control system for electrospinning called the Electrospinning Temperature Control (ETC) System and connect it with an internet-of- things (IoT) platform to understand the dynamics of the temperature control process, upload temperature data to the cloud, and remote monitoring. The method used by designing and building system hardware and software, calibrating DHT21 as a temperature sensor and testing system performance. The results show that the calibration of the DHT21 sensor has an accuracy rate of 94.95% and a precision rate of 98.93%, while the results of the performance test show that the system can raise, maintain, and lower the temperature. Further performance testing reveals that the ETC system can operate within a temperature range of 2040C. The IoT system using the Blynk App allows users to remote and monitor easily, and using Google Sheets as a cloud database. The ETC system was successfully built and can be applied to electrospinning experiments.
Optimizing Palm Oil Plantation Productivity Using Offline Blockchain and Drone Rover Solutions Aryanto, Aryanto; Cipta, I Nengah Marccel Janara Brata; Putri, Dinda Armeylia; Amelia, Bella; Pratama, Muhammad Herly
Jurnal Rekayasa Elektrika Vol 20, No 4 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v20i4.40676

Abstract

The increasing demand for sustainable palm oil production challenges plantations to maintain efficient management and data transparency, particularly in remote areas with limited internet access. This study aims to develop and implement an offline blockchain system integrated with drone rover devices to support data collection and decision-making without internet connectivity. Drone rovers equipped with sensors and cameras are deployed to collect comprehensive data on plant health, pest detection, and environmental conditions across the plantation. The offline blockchain securely stores this data, ensuring integrity and traceability. Additionally, an AI system is utilized to process this data in real-time, enhancing the precision of monitoring plant health and fruit ripeness. Results indicate that this approach optimizes resource management, improves operational transparency, and enables accurate decision-making in palm oil plantation management. By combining offline blockchain technology with AI-driven analysis, this study provides a scalable and effective solution for sustainable agriculture in connectivity-challenged environments.

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