TRACKING MAP UNTUK MONITORING GANGGUAN JTR PADA NH FUSE GARDU DISTRIBUSI

This research develops an IoT-based fault monitoring system for Low Voltage (LV) Networks using a tracking map on NH fuses, aiming to improve response time efficiency and fault detection accuracy. The system integrates sensors with a web-based platform to monitor and visualize fault locations in real-time. Test results indicate that the system is capable of detecting faults with high accuracy, with detection errors as low as 0% to 0.32%. The response time for fault detection ranges from 0.5 to 1 second, significantly faster than conventional methods. As a result, fault recovery time can be accelerated by 30-40%, potentially enhancing the reliability of the power supply. Additionally, the use of IoT technology allows more efficient monitoring and quicker response to faults, enabling faster repair processes and minimizing downtime. Although the system demonstrates promising results, the study also identifies areas for further development, particularly in integrating it with more complex distribution management systems and enhancing data analytics. Overall, the proposed system offers an innovative solution for mitigating faults in LV networks, improving reliability, and increasing operational efficiency in power distribution systems

Authors

Publication Details

Journal
Jurnal Informatika dan Teknik Elektro Terapan
Published
2025-01-16
DOI
https://doi.org/10.23960/jitet.v13i1.6003
Primary Topic
Computer Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

TRACKING MAP UNTUK MONITORING GANGGUAN JTR PADA NH FUSE GARDU DISTRIBUSI

Agus Kiswantono
Jurnal Informatika dan Teknik Elektro Terapan
Computer Science and Engineering
article

TRACKING MAP UNTUK MONITORING GANGGUAN JTR PADA NH FUSE GARDU DISTRIBUSI

Agus Kiswantono
article en

Abstract

This research develops an IoT-based fault monitoring system for Low Voltage (LV) Networks using a tracking map on NH fuses, aiming to improve response time efficiency and fault detection accuracy. The system integrates sensors with a web-based platform to monitor and visualize fault locations in real-time. Test results indicate that the system is capable of detecting faults with high accuracy, with detection errors as low as 0% to 0.32%. The response time for fault detection ranges from 0.5 to 1 second, significantly faster than conventional methods. As a result, fault recovery time can be accelerated by 30-40%, potentially enhancing the reliability of the power supply. Additionally, the use of IoT technology allows more efficient monitoring and quicker response to faults, enabling faster repair processes and minimizing downtime. Although the system demonstrates promising results, the study also identifies areas for further development, particularly in integrating it with more complex distribution management systems and enhancing data analytics. Overall, the proposed system offers an innovative solution for mitigating faults in LV networks, improving reliability, and increasing operational efficiency in power distribution systems

Jurnal Informatika dan Teknik Elektro TerapanVol. 13(1)
Openalex Percentile: Top 100%
Computer Science and Engineering
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TRACKING MAP UNTUK MONITORING GANGGUAN JTR PADA NH FUSE GARDU DISTRIBUSI — Agus Kiswantono · Jurnal Informatika dan Teknik Elektro Terapan (2025) | TGRS Research Map | TGRS