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Journal : Media Elektrik

DEVELOPMENT OF EARLY WARNING SYSTEM FOR 3-PHASE ELECTRIC MOTOR MALFUNCTION DETECTION BASED ON LORA Abdul Muis Mappalotteng; Muhammad Yusuf Mappeasse; Muhammad Irfan; Dewi Triantini
Jurnal Media Elektrik Vol. 22 No. 1 (2024): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v22i1.6195

Abstract

This study aimed to develop an early warning system for detecting malfunctions in three-phase electric motors using a LoRa-based microcontroller. Three-phase electric motors are vital components in industry, and their failure can cause significant downtime and financial losses. This system was designed to improve operational reliability and efficiency through remote monitoring and early detection of potential failures. Various sensors, including current, voltage, temperature, and RPM sensors, was installed on the motor to monitor its operational conditions. The collected data was sent via the LoRa network to the processing unit for further analysis and early warning. The study used Research and Development (R&D) approach with a prototyping development model, which included gathering requirements, designing, prototyping, and evaluating the system. Each stage was designed to ensure that the developed system can meet the expected operational and functional needs. It is expected that this system can prevent greater damage, reduce maintenance costs, and increase overall industrial productivity.
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.