SISTEM DETEKSI CERDAS KEBAKARAN DI KIOS MAKANAN MENGGUNAKAN SMOKE DETECTOR DAN GAS DETECTOR BERBASIS INTERNET OF THINGS MENERAPKAN METODE LOGIKA FUZZY

HAMAZ, MUHAMAD REVANZA MOZITA and Prasetyo, Aditya Putra Perdana and Hermansyah, Adi (2024) SISTEM DETEKSI CERDAS KEBAKARAN DI KIOS MAKANAN MENGGUNAKAN SMOKE DETECTOR DAN GAS DETECTOR BERBASIS INTERNET OF THINGS MENERAPKAN METODE LOGIKA FUZZY. Diploma thesis, Sriwijaya University.

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Abstract

Preventive measures and early detection of LPG gas leaks, commonly used in households and industries, are necessary to prevent LPG gas leaks. This study developed a smart fire detection system in food kiosks based on the Internet of Things (IoT) using smoke and gas sensors as well as fuzzy logic methods. The results show that this system can detect fires using these sensor technologies. Data collected by the detector will be sent to the Blynk IoT platform for processing and analysis. This device can only detect smoke and gas within a maximum range of 35 cm. With fuzzy logic, the system can indicate the level of security.

Item Type:	Thesis (Diploma)
Uncontrolled Keywords:	Internet Of Things, Sistem Deteksi Cerdas Kebakaran.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885-7895 Computer engineering. Computer hardware
Divisions:	09-Faculty of Computer Science > 56401-Computer Engineering (D3)
Depositing User:	Muhamad Revanza Mozita Hamaz
Date Deposited:	17 Apr 2024 07:48
Last Modified:	17 Apr 2024 07:48
URI:	http://repository.unsri.ac.id/id/eprint/143177

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