Khakam Ma'ruf, Rizal Justian Setiawan, Desi Ayu Kumalasari, Nur Azizah, Darmono, Nur Evirda Khosyiati
The implementation of an early fire warning system is essential to mitigate substantial losses and provide individuals with sufficient time to evacuate. This study develops an Internet of Things (IoT)-based fire detection system designed to effectively monitor environmental conditions in residential settings. The system integrates an infrared sensor, MQ-2 gas sensor, and DHT11 humidity sensor to detect potential fire hazards in realtime. Utilizing the ESP32 microcontroller, the system processes sensor data and transmits notifications via the Blynk application to users' smartphones. Experimental results indicate that the infrared sensor achieves 73.3% accuracy in detecting flames, while the MQ-2 sensor and DHT11 sensor record 86.67% accuracy in detecting hazardous gas concentrations and humidity levels that could trigger fires, respectively. This study underscores the importance of continuous environmental monitoring to mitigate fire risks. By employing this system, users receive early warnings, enabling swift action in emergency situations. The IoTbased fire detection system proposed in this research is expected to enhance home safety and can be adapted for industrial and smart building applications. © 2025 IEEE.
Gadjah Mada University, Faculty of Engineering, Dept of Industrial Engineering, Yogyakarta, Indonesia; College of Law and Politics, National Chung Hsing University, Dept of IMP in Asia and China Studies, Taichung, Taiwan; Universitas Gadjah Mada, Faculty of Engineering, Dept of Industrial Engineering, Yogyakarta, Indonesia; College of Medicine, National Cheng Kung University, Dept of Public Health, Tainan, Taiwan; Universitas Negeri Yogyakarta, Faculty of Engineering, Dept of Civil Engineering Education, Yogyakarta, Indonesia; Universitas Negeri Yogyakarta, Faculty of Engineering, Dept of Culinary Engineering Education, Yogyakarta, Indonesia
