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Media Elektrik
Published by Universitas Negeri Makassar
ISSN : 19071728     EISSN : 27219100     DOI : 10.59562/metrik
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering
Publications in the areas of Electrical Engineering, Information and Computer Engineering, and Control include research articles and reviews of the literature.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 198 Documents
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DETERMINANTS OF POWER OUTPUT PERFORMANCE IN MICRO HYDROPOWER PLANTS: AN ANALYSIS OF OPERATING AND INTERRUPTION TIME Rahmah, Aulia; Triantini, Dewi; Nurhabib Yusuf, Sahrum
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.9180

Abstract

This study quantitatively investigated the relationship between the output power (kW) of the Bungin Micro Hydropower Plant (MHP) and two independent variables, operating time (hours) and interruption time (hours), using multiple linear regression. The analysis aimed to identify dominant factors influencing energy production efficiency. The resulting regression model, expressed as: Power (kW) = 3656.1 − 1.52 (Operating Time) − 1.02 (Interruption Time), indicates a negative correlation between both operating and interruption times and power output. However, statistical significance testing (p = 0.01) revealed that only interruption time had a significant impact on Bungin MHP's output power. This finding aligns with theoretical expectations that increased interruption durations impede energy generation. While operating time also exhibited a negative coefficient, its effect was not statistically significant (p > 0.05) within this model. Thus, interruption time is identified as the primary determinant of Bungin MHP's energy production, underscoring the critical need for effective interruption management to optimize plant performance.
REAL-TIME SOLAR PANEL FAULT DETECTION USING YOLOv8-BASED DEEP LEARNING APPROACH Nur Faisal, Andi; Isra, Ali
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.9182

Abstract

This study presents the implementation of the YOLOv8s-cls model for automatic classification of solar panel surface conditions into six categories: Clean, Dusty, Bird-drop, Snow-Covered, Electrical-Damage, and Physical-Damage. A dataset comprising 619 images was used to train the modified YOLOv8s-cls architecture, spanning 50 epochs with a batch size of 16, input dimensions set to 128×128, and the AdamW optimizer applied throughout. The training was conducted on a CPU-only system, yet the inference benchmark was performed in a separate testing phase, yielding an average inference time of 0.032 seconds per image, indicating strong feasibility for real-time deployment. The achieved accuracies were 85.88% for Top-1 and 99.44% for Top-5 predictions, demonstrating robust performance in multi-class classification tasks. Nonetheless, some visual ambiguities remained between similar classes such as Dusty vs. Snow-Covered and Electrical-Damage vs. Physical-Damage. These results affirm the effectiveness of YOLOv8s-cls as a lightweight and adaptable deep learning solution for solar panel condition monitoring. Future enhancements are proposed, including targeted data augmentation, texture-based preprocessing, and deployment on GPU-accelerated or edge-optimized platforms to improve generalization and deployment flexibility in real-world settings.
PRIORITIZING THE RENEWABLE ENERGY TECHNOLOGIES IN TANAKEKE ISLAND, SOUTH SULAWESI: AN AHP APPROACH misbahuddin, azizah fauziah; Fahmi Misbahuddin, Afif
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.9203

Abstract

The transition toward sustainable and decentralized energy systems has heightened the urgency for renewable energy adoption, particularly in off-grid and remote areas. In Indonesia, many island communities remain disconnected from the central electricity grid and face chronic energy access issues. One such case is the Tanakeke Archipelago, located in Takalar Regency, South Sulawesi, where residents experience limited and unreliable electricity supply despite ongoing government electrification programs. This study aims to identify the most suitable renewable energy technology for Tanakeke Island using the Analytic Hierarchy Process (AHP), involving six key criteria: local natural resource potential, technical feasibility, investment and operational costs, system reliability, social acceptance, and environmental impact. Four alternative technologies were evaluated: Solar Power Plant (PLTS), Wind Power Plant (PLTB), Wave Power Generator (PLTO), and Micro Hydro Power Plant (PLTMH). Expert input was gathered from academics and local community figures. The results indicate that Wind Power Plant (PLTB) ranks highest with a global priority score of 2.72, followed by Solar Power Plant (PLTS) with 1.78, Wave Power Generator (PLTO) with 1.09, and Micro Hydro Power Plant (PLTMH) with 0.41. Among the six criteria, Technical Feasibility held the highest weight (0.32), followed by Local Resource Potential (0.25) and Investment Cost (0.21). These findings highlight that technical and resource-based considerations are the most influential in determining the appropriate energy solution for Tanakeke Island. This study provides a structured and data-driven approach to aid local governments and stakeholders in planning sustainable and context-appropriate energy infrastructure in underserved island communities.
USABILITY ANALYSIS OF INDUSTRIAL PRACTICE INFORMATION SYSTEM (SIPI) USING SYSTEM USABILITY SCALE (SUS) IN INFORMATICS AND COMPUTER ENGINEERING DEPARTMENT UNM Wulandari, Andini; Mappeasse, Muhammad Yusuf; Dewi, Shabrina Syntha; Firdaus, Firdaus
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.8277

Abstract

This study aims to analyze the level of usability in the Industrial Practice Information System (SIPI) using the System Usability Scale (SUS) method in the Informatics and Computer Engineering Department, UNM. This research is a type of quantitative descriptive research, the data collection techniques used are questionnaires, interviews and documentation. The subjects of this study were students of the Informatics and Computer Engineering Department, class of 2021, who were taken using nonprobability sampling using the saturated sampling method totaling 60 people. The difference between this study and several previous studies is in the method used and the determination of the SUS score, which is not only from 3 aspects, namely acceptability, grade scale, adjective rating, but also with percentile rank and analysis of respondent responses. From the results of the analysis, it was found that the level of usability in the Industrial Practice Information System (SIPI) using the System Usability Scale (SUS) method, namely the SUS score of 60 with a percentile rank value of 29%, with a grade scale that falls into the category "D", for the adjective rating is in the category "Ok" which means that the usability of SIPI is quite decent. Furthermore, the acceptability ranges aspect is in the category "Marginal" which means that SIPI can be marginally accepted/can be accepted with conditions by users. From the results of the analysis of user responses to the SUS questionnaire, it is known that the usability aspects that still have a low percentage value are the memorability and learnability aspects. Thus, SIPI can be accepted by users however, improvements or developments are still needed to optimize the use of the system, especially in the usability aspect which has a low percentage value, namely memorability and learnability.
ANALYSIS OF WIND ENERGY POTENTIAL IN THE AREA OF TOREA AIRPORT, FAKFAK, WEST PAPUA Lembang, Naomi; HR, Herman; Mansur, Khairunnisa; Yulan, Yulan
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.8346

Abstract

One of the renewable energy that is growing rapidly in the world today is wind energy. Wind energy is a very flexible energy. The wind potential of the Torea Fakfak Airport area, West Papua is quite strong considering that planes often fail to take off due to strong winds, wind measurement data collection is located in a coastal area, so this study aims to evaluate the potential of wind energy in the Torea Fakfak area as an alternative renewable energy source. This study involves analyzing wind speed data for one month using an anemometer measuring device installed in a strategic location, this measurement was only carried out at a height of 2 meters. The results show that the average wind speed in the area reaches 2.6 m/s. The electrical energy power obtained in these conditions is 79.77517 watts or in 24 hours the power generated is around 1,914.60 watts. The power generated is not large but the energy can be optimized for the needs of public facilities such as street lights and also the needs of equipment such as TVs, laptops, small refrigerators and others Keywords: Wind Potential, Electrical Energy, Wind Speed, Sea Breeze.
DEVELOPMENT OF A POWER QUALITY MONITORING SYSTEM FOR THREE-PHASE INDUCTION MOTORS USING LABVIEW Muchtar, Akhyar; Ana Laila Sari, Dessy; Ashari, Hilda; Iswal Burhan, Muhammad; Fitriati, Andi; Azhari Iriawan, Nur
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.8803

Abstract

Three-phase induction motors are widely used in industrial applications. The performance of these motors heavily depends on the stability of electrical parameters such as voltage, current, frequency, and power factor. Imbalances or fluctuations in these parameters can significantly affect the motor’s operational lifespan and may even lead to equipment failure. Therefore, periodic monitoring of these parameters is essential. This study aims to design and develop an electrical power monitoring system for a three-phase induction motor using LabVIEW, integrated with the Modbus RTU protocol and a power meter. Methode of this research is an experimental method. The result of this research is that the current will fluctuate along with the increase in motor load. When unloaded, the current was measured at 0 A. Upon applying one load, the R/S/T phase currents increased to 0.1107 A, 0.1173 A, and 0.1107 A, respectively. With two loads, the currents rose to 0.1357 A, 0.1424 A, and 0.1317 A. When the load increased to three, the R/S/T phase currents further increased to 0.1581 A, 0.1654 A, and 0.1526 A, respectively. Voltage and frequency were observed to remain stable at approximately 238 V and 50 Hz. Inter-phase voltage also remained relatively stable, ranging from 408 V to 413 V. This study is practically aimed at providing an accurate, validated, and real-time monitoring system for three-phase induction motors, which is highly relevant for predictive maintenance in industrial environments. Compared to previous works that relied on low-cost sensors or microcontroller-based monitoring, this research emphasizes higher measurement accuracy, validated results, and seamless integration with industrial communication protocols. In summary, the developed system successfully demonstrated its ability to monitor electrical parameters of three-phase induction motors in real-time with high accuracy, validated measurement results, and stable performance across different load conditions. Its practical contribution lies in offering an industrially applicable monitoring solution that supports predictive maintenance, reduces downtime, and extends motor lifespan. The main scientific contribution of this work is the integration of LabVIEW and Modbus RTU with a validated measurement scheme, overcoming the accuracy and reliability limitations of previous studies.
RELIABILITY ANALYSIS OF UNISTAR HR EM TYPE ELECTRIC SWITCH MACHINE AT MAROS STATION Azis, Asmawaty; Miftakul Khoiri, Agus; Harun Rasyid, Kurniawan
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.9085

Abstract

Railway transportation requires an integrated and reliable system to ensure the safety and smoothness of train travel. This study aims to investigate the reliability of Unistar HR EM type electric switch machines at Maros Station in maintaining train travel safety. The research method used is reliability analysis using visual inspection, indicator measurement, and functional testing methods with 60 trial runs. The results show that the condition of the switch plate that has not been lubricated can increase friction and disrupt the performance of the electric switch machine. Based on the reliability calculation results, the lowest reliability value among the five switches is the W0421 electric switch machine, which is 93%. This indicates that there are still several indicators that do not meet the standard reference values, which can cause significant disruptions in the long term.
REAL-TIME STUDENT FACIAL EXPRESSION DETECTION TO IDENTIFY STUDENT INTEREST IN LEARNING IN CLASS USING CNN AND YOLO Maninnori Nawirma, Maulana; Agung, Muhammad; Gunawan Zain, Satria
Jurnal Media Elektrik Vol. 22 No. 3 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i3.9406

Abstract

Understanding students’ emotional involvement is essential for optimizing teaching strategies and improving learning outcomes in the classroom. This study employed a Research and Development (R&D) method aimed at developing a system to identify students’ learning interest based on real-time facial expression detection. The system consists of three main components: input in the form of facial images captured by a webcam, expression classification processed by a laptop, and output in the form of information indicating the level of student interest. The devices used in testing included a Logitech C310 webcam connected to an MSI Cyborg 15 A12VE-074ID laptop, equipped with an Nvidia RTX 4050 GPU. The algorithm used for the recognition and classification process was a Convolutional Neural Network (CNN) implemented through the YOLO version 11 framework. The dataset consisted of 1,128 student facial expression images classified into two main categories: (1) interested expressions, including happy and surprised, and (2) uninterested expressions, including angry, fearful, sad, and disgusted. These expressions represent basic human emotions. The test results showed that the system achieved an accuracy rate of 86.04% and a precision rate of 89.57%, with an average detection time ranging from 31 to 50 milliseconds. Testing conducted over five days of classroom sessions demonstrated that the system was able to operate stably and accurately using a webcam, even under varying lighting conditions, angles, and facial movements, with an average frame rate of 30–32 FPS.
Development of Prototype of Arduino-Based Automatic Ablution Faucet to Save Water Usage Imran, Al; Firdaus, Firdaus; Haripuddin, Haripuddin; Jamil, Abdillah
Jurnal Media Elektrik Vol. 23 No. 1 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i1.9790

Abstract

This study aims to develop and evaluate an Arduino-based automatic ablution faucet designed to reduce water consumption through proximity sensing and real-time water-flow monitoring. Using an engineering research approach with a prototype development model, the system was constructed using an Arduino Uno microcontroller, a proximity sensor, and a water-flow sensor, followed by direct testing and usability evaluation involving 30 respondents. Functionality assessment was conducted by experts using the ISO 25010 framework, while usability testing employed a Likert-scale questionnaire. The results show that the automatic faucet successfully regulated water flow based on user presence and displayed real-time water usage on an LCD. Comparative testing between manual and automatic faucets demonstrated a 44.03% reduction in water consumption, with the prototype achieving 100% functionality and an 87.8% usability score, indicating that the system is operationally reliable, accurate, and user-friendly. Sensor calibration produced an average error rate of 1.2%, which falls within acceptable tolerance limits. The novelty of this research lies in its integration of dual-sensor technology, quantitative water-efficiency measurement, and ISO 25010-based quality evaluation within a single prototype framework an approach not commonly adopted in previous studies on ablution automation. The incorporation of real-time water monitoring also enhances the system’s practicality and contributes to technological advancements in water conservation and electrical engineering applications.
Performance Analysis of a Smartphone-Controlled Smart System for Motorcycle Starting and Security Functions Wabdillah, Wabdillah; Yahya, Muhammmad; Iskandar Musa, Muhammad; Muflihat, Syakia; Dalla, Alfred
Jurnal Media Elektrik Vol. 23 No. 1 (2025): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v23i1.10304

Abstract

Motorcycle starting failures and theft vulnerabilities remain significant issues in many developing regions, primarily owing to weaknesses in mechanical locking systems and inconsistent electrical performance. To address these challenges, this study developed and evaluated a smartphone-controlled smart system that integrates motorcycle starting and security functions using Bluetooth and Wi-Fi communication. This research aims to quantitatively assess the system’s responsiveness, communication stability, energy efficiency, and security performance under both laboratory and real-world operating conditions gaps that remain insufficiently explored in previous studies. The system was built using an ESP32 microcontroller equipped with AES-128 encrypted communication, a relay-based ignition interface, and an intrusion-detection module controlled through a dedicated mobile application. A series of 100 command trials were conducted to measure the latency, functional reliability, wireless transmission stability, power consumption, and alarm response time. The results show that Wi-Fi mode provides faster command execution, with response times consistently lower than Bluetooth mode, while Bluetooth demonstrates higher communication stability and lower energy usage. Both communication modes achieved operational accuracy above 97%, and the security subsystem responded rapidly to intrusion events, activating alarms in approximately 1.3 seconds. These findings indicate that the proposed system achieves a balanced performance across speed, reliability, and energy efficiency, validating its suitability for practical motorcycle automation and security applications. The primary contribution of this study lies in its comprehensive quantitative evaluation framework, which offers deeper empirical insight into IoT-based vehicle control performance. The results also provide a foundation for future advancements, including cloud-integrated monitoring, GPS-based tracking, and AI-driven predictive security.

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