Fire Monitoring System in the Laboratory Using Temperature, Gas, and Light Sensors

DOI:

https://doi.org/10.58421/jnsa.v1i1.1275

Authors

  • Ramdan Abdul Azis Politeknik AKA Bogor
  • Regi Aria Gading Institute Teknologi Sepuluh Nopember, Surabaya
  • Rezhika Nur Maryam Politeknik AKA Bogor
  • Salma Seftia Darmawan Politeknik AKA Bogor
  • Rachmawati Dwi Estuningsih Politeknik AKA Bogor https://orcid.org/0000-0003-4672-3434

Keywords:

Arduino Uno, TMP36 Temperature Sensor, MQ-2 Gas Sensor, LDR Light Sensor, Fire Detection System

Abstract

Fire is one of the disasters that often occurs due to human negligence, with significant losses both in material and human casualties. This study aims to design and implement a fire detection system based on the Arduino Uno microcontroller that combines three main sensors, namely the TMP36 temperature sensor, the MQ-2 gas sensor, and the LDR light sensor. This system is designed to provide early warnings when early indications of fire are detected such as temperature increases, the presence of dangerous gases/smoke, and abnormal increases in light intensity. Test results show that the system is able to respond to dangerous conditions quickly by activating the buzzer as an alarm and displaying parameter information in real-time via a 16x2 LCD. This system has proven effective and can be applied to high-risk environments such as laboratories, homes, schools, and industrial facilities

References

Li, G., Guo, J., Kang, Y., Huang, Q., Zhao, J., & Liu, C. (2025). Classification and Prevention of Electrical Fires: A Comprehensive Review. Fire, 8(4), 154. https://doi.org/10.3390/fire8040154

Lee, H., et al. (2023). Process safety management lessons learned from a fire and explosion accident caused by a liquefied petroleum gas leak. Journal of Loss Prevention in the Process Industries, 83, 105058. https://doi.org/10.1016/j.jlp.2023.105058

Kim, H. C., Lam, H. K., Lee, S. H., & Ok, S. Y. (2024). Early Fire Detection System by Using Automatic Synthetic Dataset Generation Model Based on Digital Twins. Applied Sciences, 14(5), 1801. https://doi.org/10.3390/app14051801

Gunadarma, T. A. Q., Nasution, S., & Haq, A. (2024). Design of an Early Warning System for Fire Based on the Internet of Things (IoT) Using NodeMCU ESP8266. International Journal of Electrical Engineering, Mathematics and Computer Science, 2(1). https://doi.org/10.62951/ijeemcs.v2i1.136

Wang, Y., Yu, Y., Zhou, B., Yin, C., Shi, Y., & Men, H. (2025). A Self-Developed Fire Early Warning System Based on Gas Detection and Graph Convolution Calculation Method. ACS Sensors. https://doi.org/10.1021/acssensors.4c03656

Satria, F., Sokid, S., Iskandar, I., & Deni, D. (2025). Design and Construction of Fire Detection Alarm Based on Arduino Uno. INTI Talafa Journal, 17(2). https://doi.org/10.32534/int.v17i2.7861

Nurfikri, T. F. D., & Sriani. (2024). Design of Fire Early Detection System Using Microcontroller as Smoke and Sprinkle Detection Using Fuzzy Mamdani Logic Method. Eduvest – Journal of Universal Studies, 4(8). https://doi.org/10.59188/eduvest.v4i8.1783

Sharma, R., et al. (2025). Innovative Fire and Gas Recognition System Featuring Remote Monitoring and Automated Alerts. Procedia Computer Science, 252, 7–14. https://doi.org/10.1016/j.procs.2024.12.002

Simanjuntak, R. P., Sirait, D. N. M., Diriyanti, S., & Aulia, R. (2024). Designing a Fire Detection System Using Blynk Application Based ESP32 Microcontroller. Airman: Jurnal Teknik dan Keselamatan Transportasi, 7(1), 36–48. https://doi.org/10.46509/ajtk.v7i1.472

Sesanti, A., & Rahmanto, Y. (2024). Design of a Gas Leak Detection System Based on IoT and Web Server. MALCOM: Indonesian Journal of Machine Learning and Computer Science, 5(2). https://doi.org/10.57152/malcom.v5i2.1683

Dewi, R., Fadhliansyah, I., Ma’rufi, R., & Lubis, D. A. (2024). IoT-Based Fire Detection System Using a Flame Detector and Arduino Uno R4 WiFi. Ultima Computing: Jurnal Sistem Komputer. https://doi.org/10.31937/sk.v17i2.4347

Satria, F., Sokid, S., Iskandar, I., & Deni, D. (2025). Design and Construction of Fire Detection Alarm Based on Arduino Uno. INTI Talafa Journal, 17(2). https://doi.org/10.32534/int.v17i2.7861

Nguyen, V. T., Manh, L. H., & Trung, H. D. (2024). Design and Implementation of an IoT System for Indoor Measurement and Monitoring Fire and Gas Warning. Buletin Ilmiah Sarjana Teknik Elektro. DOI: https://doi.org/10.12928/biste.v6i2.11254

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Published

2026-02-18

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Articles