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Teuku Multazam
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Journal Geuthee of Engineering and Energy
Published by Geuthee Institute
ISSN : -     EISSN : 29642655     DOI : https://doi.org/10.52626/joge.v2i1
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering
The JOGE is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication, computer engineering, mechanical energy, enviromental engineering, and energy from the global world. The journal publishes original research papers, review papers, and short communications in the field of electrical & power engineering, circuits & electronics, power electronics & drives, automation, instrumentation & control engineering, digital Signal, image & video processing, telecommunication system & technology, information system and technology, internet of things, artificial intelligence & soft computing.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 38 Documents
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The impact of biogas power plant penetration on power system stability in the 20 kV distribution network of Tanjung Pura Ashari, M.Juliansyah; Bintoro, Andik; Multazam, Teuku
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.49

Abstract

The penetration of biogas power plants into the distribution network can affect power system stability, particularly in the 20 kV distribution network in Tanjung Pura. This study aims to analyze the impact of biogas power plant penetration on voltage stability and power flow dynamics in the distribution network. A simulation-based approach using ETAP software is employed to evaluate different penetration levels, ranging from low to high. The results indicate that biogas power plant (PLTBg) penetration increases system voltage from the existing 17.92 kV (89.63%) to 18.34 kV (91.73%) at 25% penetration and reaches 19.50 kV (97.50%) at 100% penetration. Under a load increase of 25% to 75%, the voltage without penetration ranges from 17.56 kV (87.80%) to 17.05 kV (85.30%). With gradual penetration, the voltage rises to 17.99 kV (90%)–17.28 kV (86.40%) at 25% penetration and reaches 19.15 kV (95.40%)–18.47 kV (92.30%) at 75% penetration. Additionally, higher PLTBg penetration reduces active power losses but increases reactive power losses, which could compromise network stability if not properly compensated. The optimal condition is observed at 50% loading with 75% penetration, where voltage remains within normal limits while both active and reactive power losses are more stable compared to other scenarios. 
IoT on power monitoring and protection for home energy consumption Artono, Budi; Putra, Rakhmad Gusta; Prasetyo, Yuli; Ningrum, Hanifah Nur Kumala
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.54

Abstract

Electrical hazards can occur due to inadequate protection systems, often leading to fires in homes or buildings. One major cause of this issue is users' lack of knowledge regarding standard electrical installations. To overcome this, the Internet of Things (IoT) offers a promising solution by enabling remote and real-time control and monitoring of electrical devices. By integrating IoT technology with home electrical systems, users can enhance safety and manage energy consumption more effectively. A practical implementation involves using a digital kWh meter, which allows accurate measurement of electrical quantities such as current, voltage, power, and power factor (cos Φ) without requiring additional sensors. The system was tested using three household loads: a 5W smartphone charger, a 40W lamp, and a 100W single-phase motor. Monitoring is done through an Android application and a web browser interface, making it accessible and user-friendly. These platforms display real-time electrical parameters and provide estimates of energy costs. Additionally, the system includes a current limitation feature, which is configured by Arduino and can be adjusted through the Android or web interface. This adds an extra layer of protection against overloads, enhancing the safety and efficiency of household electrical usage. The integration of IoT and digital metering contributes significantly to smarter and safer energy management.
Design and implementation of 2 kW BLDC motor for e-scooter electric vehicle according to Indonesian bicycle conversion standards Dwi Putranto, Rifki; Haichal Sukino, Rifansyah Fitrah
Journal Geuthee of Engineering and Energy Vol 4, No 1 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i1.58

Abstract

The main challenge faced by many countries is the limited fossil fuels due to the dwindling supply of fuel oil. Indonesia itself faces serious problems in providing sufficient fuel, even having to import from other countries, which can have a negative impact on the energy needs of its growing population. To overcome this problem, the use of renewable energy sources is a very relevant alternative solution. Renewable energy needs to be expanded, especially with the increasing price of fuel. One of the most prominent examples is the use of electrical energy. Electric motors have become a major focus in the development of electric vehicle technology and various industrial applications. One type of electric motor that is increasingly popular is the BLDC motor. The use of inefficient BLDC motors can cause significant energy waste, one of the factors that affects the design of BLDC motors is the winding configuration. This study aims to improve the performance of the 2kW electric motor dynamo to meet government regulations on electric vehicle conversion standards. BLDC motors are vital components in various industrial and transportation applications due to their high efficiency. This study focuses on the analysis of the BLDC motor winding configuration to achieve optimal energy efficiency by developing existing products. This study conducted simulations using Ansys Motor-CAD and performance tests were carried out under various load conditions. The results of the study showed an increase in efficiency from 82% to 87% and motor torque through variations in the winding configuration was obtained from 42 Nm to 54 Nm according to the results of the traction analysis of 44 Nm. This is expected to support the development of electric vehicles such as electric scooters.
Failure-tolerant dispatch optimization for off-grid hybrid energy systems using PSO Khaleq, Nadhir Ibrahim; Hasan, Ihsan Jabbar; Abed, Saif Ahmed
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.61

Abstract

Hybrid energy systems are increasingly vital in ensuring uninterrupted power delivery in remote or solar-dependent regions. This study addresses the operational challenges in such systems under failure scenarios by integrating advanced optimization techniques. This paper presents a failure-tolerant optimization approach for dispatching power in off-grid hybrid energy systems comprising solar, battery, and fuel generator sources. The objective is to ensure reliable energy delivery under failure conditions using Particle Swarm Optimization (PSO). A comparative analysis with a conventional greedy algorithm reveals that PSO significantly reduces unmet demand, particularly under critical component outages. The system is modeled in MATLAB/Simulink, simulating three failure scenarios—solar, battery, and fuel. The comparison between PSO and the greedy dispatch method was carried out using unmet load percentage, fuel consumption, and reliability index as key evaluation metrics, with the PSO executed for 50 iterations using 30 particles to ensure convergence. Results show that the PSO dispatcher achieved unmet energy reductions from 59.61% to 17.01% in fuel failure cases while minimizing fuel usage during renewable outages. The study concludes that PSO offers a promising solution for resilient energy management in isolated or rural microgrids.
Variable speed drive control system as a controller for a 3-phase motor using function block diagram on zelio PLC Triyono, Budi; Winarno, Basuki; Prakoso, Dimas Nur; Utama, Ferdiansyah Prasetya
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.62

Abstract

A 3-phase electric motor is one of the key components in industrial production processes. In industrial activities, electric motors play a significant role in the production process, as almost all machines in the industry use electric motors as their driving force. This type of motor is susceptible to overcurrent, caused either by an overload or excessive current. Common disturbances that may occur in a 3-phase electric motor include: high starting current, overcurrent, overvoltage, undervoltage, underfrequency, and short circuit undervoltage. A protection system is needed to minimize the losses caused by these disturbances, making it essential to conduct a protection system analysis to be installed on the motor. Using the Multi-Function Meter SMART 7KT as a device capable of detecting these disturbances and taking the necessary protective actions, the protection system employs a PLC (Programmable Logic Controller) and HMI (Human Machine Interface) as the interface for controlling and monitoring the protection system on the electric motor, communicated via Modbus RTU. Therefore, this protection system can safeguard the 3-phase electric motor from disturbances such as large starting current, overcurrent, undervoltage (-10% from normal voltage), overvoltage (+5% from normal voltage), and underfrequency. With this developed protection system, the risk of damage to critical or vital 3-phase electric motors can be minimized
Development of an internet of things-based monitoring system for small vertical axis wind turbine Prasetyo, Yuli; Triyono, Budi; Artono, Budi; Triwijaya, Santi; Khakim, Ainul; Ramadhan, Ade Nofa
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.65

Abstract

Small-scale wind turbines often face challenges related to low energy conversion efficiency and the lack of adequate monitoring and automatic protection systems against fluctuating weather and load conditions. This study presents the design and implementation of an Internet of Things (IoT)-based monitoring and protection system for a Small Vertical Axis Wind Turbine (VAWT). The system utilizes Arduino Uno and NodeMCU ESP8266 microcontrollers integrated with INA219, LM35, anemometer, infrared, and DC voltage sensors. Data acquisition and transmission are managed through Wi-Fi communication and displayed on the ThingSpeak web platform for real-time visualization. Experimental testing demonstrated that the system successfully measured and transmitted voltage, current, power, wind speed, temperature, and rotational speed parameters with an average data transmission latency of less than 3 seconds. The protection mechanism activated effectively under simulated abnormal conditions such as over-speed and over-temperature, automatically disconnecting the load to prevent turbine damage. The measurement accuracy for INA219 voltage and current sensors reached ±0.2 V and ±0.05 A, while temperature detection with LM35 had an average deviation of ±0.8 °C. The results indicate that the proposed IoT-based VAWT monitoring system is capable of providing reliable, low-cost, and real-time supervision suitable for small-scale renewable energy applications. Furthermore, it can be used as a learning prototype in vocational education to understand the integration of renewable energy and IoT technologies.
Usability testing analysis of the Lhokseumawe district attorney’s office website using nielsen’s metrics for user experience evaluation Alfarisyi, Ahmad; Sahputra, Ilham; Eviyanti, Cut Yuniza; Karima, Annisa
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.63

Abstract

The Lhokseumawe district attorney's office is a law enforcement institution that utilizes a website as an essential medium for delivering public information and services. To ensure its optimal function, this research aims to evaluate the website's usability quality level. This study adopts the Usability Testing method with a quantitative descriptive approach , based on the five metrics proposed by Jakob Nielsen: learnability, efficiency, memorability, errors, and user satisfaction. Data collection involved direct observation of 10 users performing core task scenarios, supplemented by questionnaires and interviews. The test results indicate that the website generally meets several usability aspects. However, there are still significant shortcomings in the areas of efficiency and user satisfaction. Quantitatively, the website's total usability score is 87.5% , with the average satisfaction score using the System Usability Scale (SUS) being 65%. Based on these findings, this study recommends improvements to the navigation structure and user interface (UI) design to enhance the quality of digital services and provide a better user experience (UX). The results of this study are expected to serve as a reference for the website administrators of the Lhokseumawe District Attorney's Office for further system development
Analysis comparison effect of image capture speed on rice pest detection using yolov 5 and yolov 7 Aldio Reza, Rahmanda; Bintoro, Andik; Multazam, Teuku; Hasibuan, Arnawan; Badriana, Badriana
Journal Geuthee of Engineering and Energy Vol 4, No 2 (2025): Journal Geuthee of Engineering and Energy
Publisher : Geuthèë Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52626/joge.v4i2.66

Abstract

Pest attacks are one of the main causes of declining rice production in Indonesia. To address this issue, this study examines the use of artificial intelligence-based object detection algorithms, namely YOLOv5 and YOLOv7, in a rice pest monitoring system using drones. The main focus of this study is to assess the effect of image capture speed on pest detection results, as well as to compare the performance of the two algorithms in various aspects, such as detection accuracy, speed, and effectiveness in identifying two main types of pests, namely rice stem borers and planthoppers. The applied methodology includes collecting visual datasets from the field, object annotation using Roboflow, training and testing models using the Anaconda Prompt platform, and analyzing the detected images in binary and grayscale forms using MATLAB. Performance evaluation is carried out using Intersection over Union (IoU), mean IoU (mIoU), and visual analysis of pixel heatmaps. The results show that detection speed is affected by variations in image capture height. YOLOv7 has faster processing performance than YOLOv5, with a capture time of 0.82 s–1.41 s, while YOLOv5 is in the range of 1.15 s–1.47 s. Accuracy evaluation through IoU and mIoU calculations produces consistent values in each frame. The YOLOv5 model obtained an IoU = 0.8711 and mIoU = 0.8711, while YOLOv7 also achieved an IoU = 0.8711 and mIoU = 0.8711. Both models showed a high balance of prediction areas, but YOLOv7 was superior in terms of time efficiency and performance stability at various heights. This research provides an important contribution to the development of AI-based precision agriculture systems, especially in detecting pests automatically and in real-time to improve pest control efficiency and agricultural productivity in Indonesia.

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