Proceedings of the 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025)

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Development of a Low-Cost Early Fire Detection System with IoT and Telegram Integration

Authors
Susmini Indriani Lestariningati1, *, Syahla Tasya Kamila2, Aldo Agusdian2
1Computer Engineering, Universitas Komputer Indonesia, Bandung, Indonesia
2Telecommunication Engineering, Institut Teknologi Bandung, Bandung, Indonesia
*Corresponding author. Email: susmini.indriani@email.unikom.ac.id
Corresponding Author
Susmini Indriani Lestariningati
Available Online 16 December 2025.
DOI
10.2991/978-94-6463-924-7_13How to use a DOI?
Keywords
Internet of Things; Wireless Sensor Network; MQTT; Telegram Bot; and Sensors
Abstract

Urban fires remain a critical hazard in densely populated residential areas, often exacerbated by delayed detection and insufficient warning systems. This research aims to develop a low-cost, scalable fire detection system that leverages Internet of Things (IoT) technology and real-time messaging for rapid community-level alerts. The system was designed using ESP32 microcontrollers integrated with flame, gas (MQ-2) and temperature (DHT11) sensors, arranged in a Wireless Sensor Network (WSN) architecture. Sensor data are transmitted via Wi-Fi and MQTT to a central gateway, which instantly delivers alerts to residents through a Telegram bot. Field experiments were conducted across three homes, and the system achieved a detection accuracy of 97% with an average notification latency of 1.3 s. These results demonstrate that combining multi-sensor fusion with lightweight IoT communication ensures reliable detection and rapid notification. The findings indicate that the proposed solution is not only affordable but also adaptable for urban communities, addressing fire safety challenges where conventional alarm systems are ineffective. In conclusion, this work offers a practical and impactful strategy for enhancing community resilience and reducing high fire risks in high-density residential environments.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025)
Series
Advances in Engineering Research
Publication Date
16 December 2025
ISBN
978-94-6463-924-7
ISSN
2352-5401
DOI
10.2991/978-94-6463-924-7_13How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Susmini Indriani Lestariningati
AU  - Syahla Tasya Kamila
AU  - Aldo Agusdian
PY  - 2025
DA  - 2025/12/16
TI  - Development of a Low-Cost Early Fire Detection System with IoT and Telegram Integration
BT  - Proceedings of the 8th International Conference on Informatics, Engineering, Science & Technology (INCITEST 2025)
PB  - Atlantis Press
SP  - 146
EP  - 158
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-924-7_13
DO  - 10.2991/978-94-6463-924-7_13
ID  - Lestariningati2025
ER  -