Sahirul Alam
Department of Electrical Engineering and Informatics, Vocational College, Universitas Gadjah Mada

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IoT-Based Server Room Environmental Monitoring Using ASHRAE TC 9.9 and RoC Alarm Rachmat Farizky; Sahirul Alam
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 4 (2026): Research Articles October 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i4.16456

Abstract

Server infrastructure is a vital asset for PT Hino Motors Manufacturing Indonesia (HMMI), whose performance is significantly influenced by the stability of temperature and humidity. Previously, environmental monitoring in the server room was still conducted manually and conventionally, leading to risks where hardware failures due to temperature anomalies were often detected too late. This research aims to design and implement a centralized IoT based monitoring system with the integration of ASHRAE TC 9.9 standards and the Rate of Change Alarm algorithm to overcome manual supervision constraints and minimize the potential for hardware damage. The system is built using ESP32 and ESP8266 microcontrollers as sensor nodes, the MQTT protocol for data transmission, and an interactive Next.js-based web dashboard. Frontend implementation includes real-time data visualization via WebSocket and dynamic sensor location maps. Sensor accuracy testing resulted in a temperature MAE of 0.22°C and a relative humidity MAE of 8.1 percentage points. These results indicate that the DHT11 provided adequate temperature measurements for the proposed monitoring application, although its relatively high humidity deviation remains a limitation of the current implementation. QoS testing using Wireshark proves the high reliability of the communication channel, yielding an average latency of 20.19 ms for the ESP32 and 50.85 ms for the ESP8266, packet loss ratio of 0%, and efficient bandwidth usage ranging from 200-450 bytes/s. The system has been successfully deployed on-premise at HMMI’s local server, providing a responsive monitoring solution for environmental anomalies and enhancing the IT team’s operational efficiency through systematic historical data reporting features.