Vol. 6 No. 2 (2026): Jutisal Jurnal Teknik Informatika Universal

Published: 2026-09-30

Articles

Rancang Bangun Sistem Pendeteksi Kebakaran Rumah Berbasis Internet Of Things (IoT) Menggunakan Mikrokontroller ESP 32
Bagus Prayoga Program Studi Teknik Elektro, Universitas Harapan, Medan, Indonesia Indonesia , Indra Roza Program Studi Teknik Elektro, Universitas Harapan, Medan, Indonesia Indonesia , Lisa Adriana Siregar Program Studi Teknik Elektro, Universitas Harapan, Medan, Indonesia Indonesia , Muhammad Iqbal Program Studi Teknik Telekomunikasi, Jurusan Teknik Elektro, Politeknik Negeri Medan Indonesia
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Fire is one of the most frequent accidents, causing loss of life, material damage, and environmental health issues due to smoke exposure. Residential areas have the highest fire incidence rate in Indonesia, often triggered by electrical short circuits and LPG gas cylinder leaks. Delays in fire handling often occur due to late information received by the fire department. This study aims to design and build a home fire detection system based on the Internet of Things (IoT) using an ESP 32 microcontroller to provide early warning notifications via the Telegram application. The system integrates a fire sensor, smoke sensor, and temperature sensor as inputs, processed by the ESP 32 microcontroller. The outputs include an LCD to display sensor readings, a buzzer as an audible alarm, and Telegram for remote real-time notifications. The research employs an experimental methodology involving system design, subsystem design, and testing. The results show that the system successfully detects fire presence, smoke, and temperature increases in the room. Testing revealed an ESP 32 error rate of 0.01% to 0.02%, fire sensor readings of 491, buzzer power of 0.02 w/m2 to 0.19 w/m2, power supply of 120 watts, temperature sensor readings of 280 C to 450 C, and smoke sensor readings of 0.34375. The system concludes that the IoT-based fire detector effectively provides early warning via Telegram, reducing the risk of larger fire incidents.

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Rancang Bangun dan Analisa Kinerja Sensor MQ-2, MQ-6 dan MQ-9 Terhadap Jarak dan Delay Deteksi Gas Berbahaya Dengan Sistem IoT
Rizky Ananda Program Studi Teknik Elektro, Universitas Harapan, Medan, Indonesia Indonesia , Yussa Ananda Program Studi Teknik Elektro, Universitas Harapan, Medan, Indonesia Indonesia , Rasyid Nur Salam Program Studi Teknik Elektro, Universitas Harapan, Medan, Indonesia Indonesia , Muhammad Iqbal Politeknik Negeri Medan Indonesia
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Hazardous gases such as smoke, LPG, carbon monoxide, and methane pose significant threats to human safety when present in high concentrations. Therefore, an early detection system capable of monitoring environmental conditions in real-time is essential. This study aims to design and analyze the performance of three gas sensors MQ-2, MQ-6, and MQ-9 based on the parameters of distance and detection delay, and integrate them into an Internet of Things (IoT) system using the ESP32 microcontroller. The proposed system is equipped with LED indicators and an active buzzer as an audible warning alarm. Sensor data can be accessed in real-time via a Wi-Fi connection, allowing users to remotely monitor environmental conditions using a smartphone through the Blynk application. Testing was conducted by varying the distance between the gas source and each sensor, as well as measuring the detection delay for each case. The results show that the MQ-2 sensor has the widest detection range, capable of detecting LPG up to a distance of 15 cm with a delay of 6 seconds, whereas MQ-6 and MQ-9 failed to detect gas at that distance. The integration of the IoT system enables responsive monitoring and rapid notifications, thereby enhancing early detection effectiveness against potential hazardous gas leaks in residential environments.

Pages: 23-31

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Vol. 6 No. 2 (2026): Jutisal Jurnal Teknik Informatika Universal

Articles

Rancang Bangun Sistem Pendeteksi Kebakaran Rumah Berbasis Internet Of Things (IoT) Menggunakan Mikrokontroller ESP 32

Rancang Bangun dan Analisa Kinerja Sensor MQ-2, MQ-6 dan MQ-9 Terhadap Jarak dan Delay Deteksi Gas Berbahaya Dengan Sistem IoT

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