Fajri, Fatchur Rahman Al (2023) Rancang Bangun Sistem Pendeteksi Kebakaran Berbasis Internet Of Things (Iot) Menggunakan Metode Addie Dan Blackbox Testing. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

The advancement of Internet of Things (IoT) technology has brought innovative solutions to various fields, including fire detection systems. This thesis presents the design and implementation of an IoT-based fire detection system using the ADDIE (Analysis, Design, Development, Implementation, Evaluation) methodology in collaboration with Blackbox Testing. The main objectives of this research are two-fold: first, to design a fire detection system using the ADDIE approach, and second, to improve the functionality of the system by incorporating Blackbox Testing techniques. Through rigorous testing and evaluation, the IoT-based fire detection system designed in this study has successfully met the established requirements. The system demonstrates robust functionality, with accuracy in detecting the presence of smoke and temperature exceeding predetermined thresholds. Additionally, the system quickly issues fire warnings through various IoT networks, including direct notifications and alerts through platforms such as Telegram and static web pages. In conclusion, the combination of the ADDIE methodology and Blackbox Testing has been proven to be effective in developing a reliable IoT-based fire detection system. The success of the system implementation reaffirms its potential in enhancing fire safety measures in various environments.

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