Rancang Bangun Sistem Pendeteksi Kebakaran Dini Berbasis Mikrokontroller
(Studi Kasus Kos Putri Kanaya Projo)
DOI:
https://doi.org/10.51903/elkom.v18i2.3203Keywords:
IoT, Kebakaran, Blynk, Sistem, PendeteksiAbstract
Fires are one of the disasters that can threaten lives and property, especially in densely populated residential environments such as boarding houses. Kos Putri Kanaya Projo is one of the female boarding houses in East Ungaran, Semarang Regency, which is at high risk of fire due to residents' negligence in using electrical equipment or gas stoves. This research aims to design and build an early fire detection system based on a microcontroller with the support of Internet of Things (IoT) technology. The system was developed using an ESP32 microcontroller connected to an MQ-2 sensor (smoke/gas), a PIR sensor (flame), and a DHT22 sensor (temperature/humidity). The system output consists of warning notifications on the Blynk application, a buzzer as an audio alarm, and information displayed on an LCD. The research method used is prototyping with the stages of design, implementation, testing, and system refinement. The test results show that the system is able to detect smoke, gas, high temperature, and flames with an accuracy of over 90% and provides warning notifications via the Blynk application with a response time of less than 10 seconds. Therefore, this system is effective as an early fire detection solution in boarding house environments, thereby enhancing safety and minimizing the risk of material loss and casualties.
References
Anggoro Saputro, U., & Tuslam, A. (2022). Sistem deteksi kebakaran berbasis Internet of Things dengan pesan peringatan menggunakan NodeMCU ESP8266 dan platform ThingSpeak. Jurnal Infomedia: Teknik Informatika, Multimedia & Jaringan, 7(1).
Aulia, R., Fauzan, R. A., & Lubis, I. (2021). Pengendalian suhu ruangan menggunakan FAN dan DHT11 berbasis Arduino. CESS (Journal of Computer Engineering, System and Science), 6(1), 30.
C. A. Haryani, Mitra, A. R., & Widjaja, A. E. (2022). The design of microcontroller-based early warning fire detection system for home monitoring. International Journal of New Media Technology, 9(1). Retrieved from https://firebase.google.com/docs/cloudmessaging/fcm
D. Kharisma, Irawan, J. D., & Wibowo, S. A. (2024). Sistem keamanan kamar kost berbasis Internet of Things. JATI (Jurnal Mahasiswa Teknik Informatika), 7(5), 3007–3013. https://doi.org/10.36040/jati.v7i5.7585
G. G. Salindeho, & Wellem, T. (2023). Perancangan dan implementasi sistem pendeteksi dan peringatan kebakaran berbasis IoT menggunakan NodeMCU ESP8266 dan sensor api. Jurnal Penerapan Teknologi Informasi dan Komunikasi, 2, ISSN 2828-7940.
Hari Kurnia Safitri, dkk. (2022). Perancangan sistem pendeteksi kebakaran rumah menggunakan IoT. Jurnal Elkolind, 9(3).
Inggi, R., & Pangala, J. (2021). Perancangan alat pendeteksi kebocoran gas LPG menggunakan sensor MQ-2 berbasis Arduino. Simkom, 6(1), 12–22.
Kusumo, B., & Ardiansyah, T. (2024). Rancang bangun sistem pendeteksi kebakaran berbasis mikrokontroler ESP32.
Mahalingam, S., Deep, M. S., & Krishna, K. S. (2021). Wireless sensor-based forest fire early detection with online remote monitoring. International Journal of Engineering and Advanced Technology, 10(5), 143–145. https://doi.org/10.35940/ijeat.e2670.0610521
Mulyono, J., Djuniadi, & Apriaskar, E. (2021). Simulasi alarm kebakaran menggunakan sensor MQ-2 dan flame sensor berbasis mikrokontroler Arduino. Elkom: Jurnal Elektronika dan Komputer, 14(1), 16–25.
Pavitra, M., Khan, S., Jain, S., Mn, A., & Kalyan, P. (2020). Forest fire detection system using IoT. Retrieved from http://www.ijeast.com
Prafanto, A., Budiman, E., Widagdo, P. P., Putra, G. M., & Wardhana, R. (2021). Pendeteksi kehadiran menggunakan ESP32 untuk sistem pengunci pintu otomatis. JTT (Jurnal Teknologi Terapan), 7(1), 37.
Pressman, R. S. (2010). Software engineering: A practitioner’s approach (7th ed.). McGraw-Hill.
Shi, X., & Songlin, L. (2020). Design and implementation of a smart wireless firefighting system based on NB-IoT technology. Journal of Physics: Conference Series. IOP Publishing Ltd. https://doi.org/10.1088/1742-6596/1606/1/012015
Siregar, T. H., dkk. (2021). Rancang bangun sistem pendeteksi kebakaran berbasis IoT menggunakan Arduino. Teknik Mesin: Universitas Ibn Khaldun Bogor.
Sommerville, I. (2011). Software engineering (9th ed.). Pearson Education.
Srakar, A. D., Sarkar, A., Argarwal, A., Dhar, P., & Roy, S. (2020). Advanced fire controller – AGNI: Design & implementation. https://doi.org/10.36375/prepare_u.a84
Syamsudin, M. S., dkk. (2023). Rancang bangun alat pendeteksi dan monitoring banjir menggunakan ESP32. Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB).
Wungow, C. J., Ferdinandus, A. R. A., Adam, A. A., & Komalig, N. (2024). Perancangan alat deteksi kebakaran berbasis Arduino. Jurnal SAINTEK, 4(1), 36–37.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Elkom: Jurnal Elektronika dan Komputer
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
