Sistem Monitoring Suhu, Api Dan Asap Untuk Pencegahan Kebakaran Pada Ruang Server
DOI:
https://doi.org/10.51903/elkom.v19i1.4059Keywords:
Internet of things, Esp32, Fire monitoring, Server room, SensorAbstract
The purpose of this research is to produce a temperature, fire, and smoke monitoring system based on Internet of Things (IoT) for fire prevention in the server room at the Personnel and Human Resources Development Agency (BKPSDM) of Indramayu Regency. The research is motivated by the server room monitoring which is still carried out manually without an early warning system, making it ineffective and at risk of delayed response to potential fires, especially outside working hours. The research method used is R&D (Research and Development) by Borg & Gall (1983) with 6 stages. Data collection was conducted through in-depth interviews, direct observation, and document review. The system was developed using an ESP32 microcontroller integrated with a DHT22 sensor for temperature, an MQ-2 sensor for smoke, and a flame sensor for fire. The software was developed using Arduino IDE and connected to the Blynk IoT platform and Telegram Bot API for automatic notifications. Testing was conducted through unit testing and end-to-end testing on seven operational scenarios. Based on the research results, the author successfully created a fire monitoring system for server rooms based on IoT. The test results showed an average temperature error of the DHT22 sensor of ±0.31°C, an average Telegram notification latency of 2.18 seconds, and a 100% success rate in all testing scenarios. The system was able to operate stably for 72 hours and is equipped with a servo motor to automatically open the ventilation when smoke is detected. This system provides ease of remote monitoring via smartphones and becomes a responsive and efficient solution to support the security of digital infrastructure against fire threats.
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