Article Per Year (5 Year)
p-Index From 2021 - 2026
0.671
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Information Technology and Computer Engineering
Rina Mardiati
UIN Sunan Gunung Djati Bandung
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
A A Low-Cost MQTT-Based IoT Framework for Real-Time Monitoring of Battery Energy Storage Systems Ari Hasan Asyari; Irsyad Nashirul Haq; Rina Mardiati
JITCE (Journal of Information Technology and Computer Engineering) Vol. 10 No. 1 (2026): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Electricity consumption continues to increase in line with population growth and the rising demand for energy. However, this trend is inversely proportional to the availability of electrical energy resources, particularly those supporting clean energy. One of the renewable energy sources is solar power generation, which utilizes solar radiation. In practice, solar power systems cannot operate optimally under cloudy conditions or during nighttime. Therefore, a Battery Energy Storage System (BESS) plays a crucial role in providing a reliable and continuous energy supply over a certain period. In addition, BESS requires proper monitoring to assess its operational condition. This study presents the development of an IoT-based real-time monitoring system for BESS using the MQTT communication protocol. An ESP32 module is employed as the internet gateway (publisher), while a cloud-based compute engine functions as the subscriber. The proposed system enables real-time monitoring of key parameters, including voltage, current, power, temperature, as well as battery charging and discharging states, which are stored and visualized in a cloud database. The results demonstrate that the developed prototype is capable of publishing and subscribing energy storage data effectively, with a sensor accuracy error of approximately 1%. The overall system achieves an average response time of 1.41 seconds, indicating reliable real-time performance.
A A Low-Cost MQTT-Based IoT Framework for Real-Time Monitoring of Battery Energy Storage Systems Ari Hasan Asyari; Irsyad Nashirul Haq; Rina Mardiati
JITCE (Journal of Information Technology and Computer Engineering) Vol. 10 No. 1 (2026): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.10.1.8-22.2026

Abstract

Electricity consumption continues to increase in line with population growth and the rising demand for energy. However, this trend is inversely proportional to the availability of electrical energy resources, particularly those supporting clean energy. One of the renewable energy sources is solar power generation, which utilizes solar radiation. In practice, solar power systems cannot operate optimally under cloudy conditions or during nighttime. Therefore, a Battery Energy Storage System (BESS) plays a crucial role in providing a reliable and continuous energy supply over a certain period. In addition, BESS requires proper monitoring to assess its operational condition. This study presents the development of an IoT-based real-time monitoring system for BESS using the MQTT communication protocol. An ESP32 module is employed as the internet gateway (publisher), while a cloud-based compute engine functions as the subscriber. The proposed system enables real-time monitoring of key parameters, including voltage, current, power, temperature, as well as battery charging and discharging states, which are stored and visualized in a cloud database. The results demonstrate that the developed prototype is capable of publishing and subscribing energy storage data effectively, with a sensor accuracy error of approximately 1%. The overall system achieves an average response time of 1.41 seconds, indicating reliable real-time performance.
Adaptive fuzzy proportional integral derivative control for azimuth rotational positioning system Mufid Ridlo Effendi; Rina Mardiati; Muhammad Bagja Nasrulloh; Aan Eko Setiawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 5: October 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i5.27906

Abstract

This paper presents an adaptive fuzzy logic-based proportional integral derivative (PID) control strategy for an azimuth rotational positioning system characterized by nonlinear angular dynamics. Conventional fixed gain PID controllers often experience performance degradation when operating across varying error regions, resulting in slower responses and residual steady-state errors. To address this limitation, a region-based fuzzy gain scheduling mechanism is proposed to dynamically adjust the proportional (??), integral (??), and derivative (??) gains according to the instantaneous angular error. The proposed controller is implemented on a laboratory-scale embedded platform consisting of a stepper motor actuator, potentiometer-based angular feedback, and an Arduino Nano controller. Experimental evaluations were conducted at reference angles of 45°, 90°, 135°, and 180° and compared with a conventional PID controller. Results demonstrate that the adaptive fuzzy–PID controller completely eliminates steady-state error at all tested setpoints and reduces rise time by up to 56.7%, depending on the operating condition. The adaptive gain adjustment enables faster transient response for large angular deviations while maintaining stable convergence near the setpoint. These findings demonstrate that the proposed embedded region-based adaptive fuzzy–PID approach provides an effective and practical solution for improving positioning accuracy and dynamic performance in rotational positioning systems.
Co-Authors Aan Eko Setiawan Ari Hasan Asyari Haq, Irsyad Nashirul Mufid Ridlo Effendi Muhammad Bagja Nasrulloh