Article Per Year (5 Year)
p-Index From 2020 - 2025
3.683
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Geografi Undiksha Sumatra Journal of Disaster, Geography and Geography Education Georafflesia : Artikel Ilmiah Pendidikan Geografi Jurnal Geografi Journal of Education and Instruction (JOEAI) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Abdihaz: Jurnal Ilmiah Pengabdian pada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Internet of Things and Artificial Intelligence Journal Ma'had Aly Journal Of Islamic Studies
Mirna Yunita
Universitas Prof. Dr. Hazairin, SH
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Internet of Things and Artificial Intelligence Journal

 1 
Design of Equipment for Detecting and Ensuring Reliability of The Substation Ihsan, Hafid; Muwardi, Rachmat; Yunita, Mirna; Yuliza, Yuliza; Dani, Akhmad Wahyu
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 3 (2024): Volume 4 Issue 3, 2024 [August]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i3.774

Abstract

Substations are vital elements of electrical infrastructure that necessitate continuous monitoring and maintenance to ensure optimal performance. This research advocates for the deployment and design of devices based on the Raspberry Pi 3 Model B to enhance substation reliability. The project involves developing hardware and software capable of real-time monitoring of substation conditions, utilizing sensors to measure critical parameters such as temperature, current, voltage, and humidity. The monitoring software is designed to collect, analyze, and report data, employing detection algorithms, including the Fuzzy Mamdani method, to ensure accurate sensor and frequency measurements and to identify potential disturbances or anomalies. Additionally, the system integrates automatic mechanisms for maintaining substation conditions, encompassing preventive measures and rapid responses to emergency situations. Testing under various fault scenarios and operational conditions demonstrated the device's effectiveness in detecting issues and providing swift responses, thereby enhancing substation performance. The results show an average error of 0.14% for voltage measurements, 0.31% for current measurements, and 0.02% for data transmission frequency. This implementation is expected to positively impact substation management and maintenance, reduce the risk of system failures, and improve overall operational efficiency. Leveraging Raspberry Pi technology ensures a cost-effective solution that can be seamlessly integrated with existing substation monitoring systems.
Design and Implementation of a Real-Time Monitoring System for a 150 kV Substation with Multi-Platform Notification and Visualization: English Kartika, Eka Anggara Yuda; Muwardi, Rachmat; Rahmatullah, Rizky; Yunita, Mirna; Yuliza, Yuliza; Dani, Akhmad Wahyu
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.942

Abstract

This paper presents the development and implementation of an innovative real-time monitoring and notification system for a 150 kV electrical substation, leveraging Raspberry Pi 3, Node-RED, MySQL, and Firebase. The system measures key electrical parameters such as voltage, current, power, and frequency using sensors connected to a Programmable Logic Controller (PLC). The data is processed and displayed through a single-line diagram on both a web-based dashboard and an Android application. Color-coded indicators, controlled by JavaScript, reflect real-time equipment status, with normal conditions marked in red and fault conditions indicated in black. The novelty of this system lies in its integration of real-time data processing, dynamic visualization, and multi-channel notification mechanisms, combining web, mobile app, and messaging services like WhatsApp and email for operator alerts. This multi-layered approach improves operator response time and enhances monitoring accuracy, especially in remote or field environments. Experimental tests, including high-voltage and low-voltage fault simulations, demonstrated the system’s ability to accurately detect faults and communicate them through the notifications in real-time, with an average measurement error of just 1.56%. The system not only provides enhanced situational awareness but also offers an efficient, cost-effective solution for remote substation monitoring, ensuring continuous supervision and immediate response to power system anomalies.
Co-Authors Akhmad Wahyu Dani, Akhmad Wahyu Al Furkon Sabda Aradepa Al Ikhsan Rama Komura Aprianto Soni Ariani, Winda Ade Dedi Hermon Edwar Edwar EDWAR EDWAR Etika Sihaini Fevi Wira Citra Framujiastri, Novira Esa Guntar, Dedi Ihsan, Hafid Jarno Jarno Kartika, Eka Anggara Yuda Lenni Lenni, Lenni Lola Octalia Maulidina, Rachmani Melvi Yansi Muhammad Alfi Muhammad Alfi Muhammad Ali Nurmintan Silaban Nurmintani Silaban Pangestu, Heru Edlifilyas Paus Iskarni Pratama, Fadly Wahyu Priyanto, Gusti Puspita, Veny Putri Febrianti Rachmat Muwardi Rahmatullah, Rizky Rahmiah Nur R Ramadhani, Rahmad Riki Nopiansyah Sintia Safrianti Supriyono, Supriyono Tegar Aldaka Fikri Utami, Elva Warsa Sugandi Warsa Sugandi Warsa Sugandi Karman Warsa Sugandi Karman Yanmesli Yehezkiel, Galatia Erica Yuliza Yuliza Yuneva, Yuneva Zairin Zairin Zairin Zairin Zairin Zairin Zairn