Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Electrical Engineering and Informatics (JEEI)
Sekar Kinasih
Sekolah Tinggi Teknologi Nusantara Lampung

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
IoT-Based Monitoring of Evaporator Icing and Electrical Current in Precision Air Conditioning Sekar Kinasih; Ajeng Ameliana R
Journal of Electrical Engineering and Informatics (JEEI) Vol. 1 No. 1 (2026): FEBRUARY (I)
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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

Abstract

Precision Air Conditioning (PAC) systems play a critical role in maintaining thermal stability in telecommunication data centers that operate continuously. One common operational issue in PAC systems is evaporator icing, which can degrade heat transfer performance and compromise system reliability, while electrical current instability may indicate abnormal compressor operation. This study proposes an Internet of Things (IoT)-based monitoring system for real-time observation of evaporator temperature and electrical current as an early detection mechanism for potential faults in precision air conditioning systems. The system was developed using an ESP8266 microcontroller, a DS18B20 temperature sensor, and a PZEM-004T current sensor, with Telegram employed as a remote monitoring interface. Experimental testing was conducted on a precision air conditioning unit under normal operating conditions. The results demonstrate that the DS18B20 sensor provides accurate and consistent temperature measurements, with evaporator temperatures recorded within the normal operating range. Electrical current measurements obtained from the PZEM-004T sensor show close agreement with reference multimeter readings, indicating reliable current monitoring performance. The developed system successfully transmits temperature and current data in real time with stable communication performance. By integrating thermal and electrical parameters within a single IoT-based monitoring framework, the proposed system supports early fault detection and preventive maintenance in PAC systems. This approach enhances operational reliability and provides a practical, low-cost monitoring solution for telecommunication data center cooling applications.
An IoT-Enabled Monitoring System for Real-Time Water Quality Management in Catfish Aquaculture Bayu Arif Ramadhan; Muhammad Wahyu Fauzi; Sekar Kinasih
Journal of Electrical Engineering and Informatics (JEEI) Vol. 1 No. 1 (2026): FEBRUARY (I)
Publisher : LPPM Sekolah Tinggi Teknologi Nusantara Lampung

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

Abstract

Water quality management is a critical factor in determining the productivity and sustainability of catfish (Clarias sp.) aquaculture. Conventional monitoring practices are generally manual, periodic, and inefficient, limiting farmers’ ability to respond promptly to environmental changes. This study presents the design and implementation of an Internet of Things (IoT)–based water quality monitoring system for catfish ponds using an ESP8266 microcontroller, a type-K thermocouple temperature sensor, and an SEN0161 pH sensor. The proposed system enables real-time monitoring of water temperature and pH, wireless data transmission to an online database, and continuous visualization through a web-based interface. System performance was evaluated in three pond environments indoor, semi-outdoor, and outdoor during a six-hour observation period, yielding a total of 1,012 measurement data points. The results indicate that the recorded water temperature and pH values generally fall within the recommended ranges for catfish aquaculture, demonstrating stable monitoring performance across different environmental conditions. Linear regression analysis further confirms the consistency of temperature and pH trends during the monitoring period. The findings show that the developed system is capable of providing reliable real-time water quality information and can support data-driven pond management while reducing dependence on manual measurements. Despite its effectiveness, the system’s performance is influenced by internet connectivity and is currently limited to temperature and pH parameters. Future work may focus on extending monitoring duration, improving communication reliability, and integrating additional water quality indicators to enhance system comprehensiveness.
Co-Authors Ajeng Ameliana R Bayu Arif Ramadhan Muhammad Wahyu Fauzi