Aug 2026· DINAMIS Jurnal Pengabdian Kepada Masyarakat· 0 citations
Abstract
This community service activity aims to address the manual monitoring of temperature and humidity in PT. MINORI's training rooms, which results in slow response times and a lack of historical data. The solution implemented is an Internet of Things (IoT) based environmental monitoring system using an ESP32 microcontroller and DHT22 sensor integrated with a web dashboard for real-time monitoring and data storage. The stages of the activity included a partner needs survey, device design and testing, system installation, and operational and maintenance training for technical staff. The results of the implementation showed that the system achieved 95% data delivery success with an average latency of 2 seconds, as well as a 95% accuracy rate for temperature and humidity measurements compared to the reference device. The outputs of the activity include installed monitoring devices, access to the monitoring dashboard, and operational and maintenance guidelines for the system. This activity has had an impact in the form of increased efficiency in monitoring the training room environment, and is planned to be developed in other training rooms as part of the ongoing implementation of IoT-based smart buildings.
ISO/IEC 17025:2017 accredited calibration laboratory, holds an absolute obligation to monitor, control, and record environmental conditions (temperature and humidity) to maintain the validity of measurement results and support budget uncertainty calculations. However, the current monitoring system is still conventional...
Purpose – This study develops and evaluates an Internet of Things (IoT)-based multi-parameter monitoring system for assessing radiator coolant quality and supporting predictive maintenance. The system continuously monitors coolant volume, pH, temperature, and turbidity while providing real-time status information and a...
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The results show that the proposed system provides responsive, continuous environmental monitoring while integrating fuzzy-based environmental assessment to support more informed decision-making.
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An ESP32 integrated with BME280, KY-026, and ZMPT101B sensors that applies a two-level threshold structure—warning and critical—to trigger notifications as well as automatic power disconnection via relays is designed and implemented.
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The design and implementation of an Internet of Things (IoT)-based real-time kitchen monitoring and automation system aimed at enhancing safety, efficiency, and intelligent control within kitchen environments is presented.
Simon Usiju Chagwa, P. B. Zirra· Journal of Analytical and Ap...· 0 citations
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