PERANCANGAN SISTEM PENDETEKSI KEBAKARAN BERBASIS IOT DENGAN METODE FUZZY

RIZAL, KHOIRU (2024) PERANCANGAN SISTEM PENDETEKSI KEBAKARAN BERBASIS IOT DENGAN METODE FUZZY. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

This issue is related to the escalation of fire incidents and limitations in effective detection in critical locations, leading to loss of lives and property. In order to address this problem, this research aims to develop a smart fire alarm system utilizing temperature sensors, gas sensors, and fire detection sensors connected through the Internet of Things (IoT). The research hypothesis states that the integration of these sensors via IoT will enhance the accuracy of fire detection and enable a faster response. Based on this problem, the research is formulated to design a system that can overcome the limitations of conventional sensors by combining information from temperature sensors, gas sensors, and fire detection sensors. The hypothesis of this research is that the integration of these sensors through IoT will improve the accuracy of fire detection and enable a faster response. The goal of this research is to develop an economical, effective, and responsive fire alarm system. To support this research, the system design involves the collection of temperature, gas, and fire detection data through IoT, data analysis using fuzzy logic, and activation of alarms and automatic extinguishing systems when a fire is detected. The test results show a temperature sensor error rate of 2.24%, the gas sensor's ability to detect smoke within a maximum range of 20cm, and the fire detection sensor with an optimal detection range of 70cm. The defuzzification process results in an average error rate of 0.96%. Although there is a delay of about 1-2 seconds in triggering warning outputs and relays, as well as short command message responses, the system as a whole successfully detects environmental conditions, conveys information, and provides responses to users. Keywords: Fuzzy Logic, Fire Detection Sensor, Gas Sensor, Internet of Things (IoT), Response, Temperature Sensor Masalah ini terkait dengan eskalasi kejadian kebakaran dan keterbatasan dalam deteksi efektif di tempat-tempat kritis, yang menyebabkan kerugian nyawa dan harta benda. Dalam rangka mengatasi permasalahan ini, penelitian ini bertujuan untuk mengembangkan sistem alarm kebakaran pintar dengan memanfaatkan sensor suhu, sensor gas, dan sensor deteksi api yang terhubung melalui Internet of Things (IoT). Hipotesis penelitian menyatakan bahwa integrasi sensor-sensor tersebut melalui IoT akan meningkatkan akurasi deteksi kebakaran dan memungkinkan respons yang lebih cepat. Berdasarkan permasalahan tersebut, dirumuskan penelitian untuk merancang sistem yang dapat mengatasi keterbatasan sensor konvensional dengan menggabungkan informasi dari sensor suhu, sensor gas, dan sensor deteksi api. Hipotesis penelitian ini adalah bahwa integrasi sensor-sensor tersebut melalui IoT akan meningkatkan akurasi deteksi kebakaran dan memungkinkan respons yang lebih cepat. Tujuan penelitian ini adalah mengembangkan sistem alarm kebakaran yang ekonomis, efektif, dan responsif. Untuk mendukung penelitian ini, perancangan sistem melibatkan pengumpulan data suhu, gas, dan deteksi api melalui IoT, analisis data menggunakan logika fuzzy, serta aktivasi alarm dan sistem pemadam otomatis saat kebakaran terdeteksi. Hasil pengujian menunjukkan tingkat kesalahan sensor suhu sebesar 2,24%, kemampuan sensor gas mendeteksi asap dalam jarak maksimal 20cm, dan sensor deteksi api dengan jarak deteksi yang optimal 70cm. Proses defuzzyfikasi menghasilkan tingkat error rata-rata 0,96%. Meskipun terdapat delay sekitar 1-2 detik dalam pemanggilan output peringatan dan relay, serta balasan pesan perintah singkat, sistem secara keseluruhan berhasil mendeteksi kondisi lingkungan, menyampaikan informasi, dan memberikan respon kepada pengguna. Kata kunci: Internet of Things (IoT), Logika Fuzzy, Respon, Sensor Suhu, Sensor Gas, Sensor Deteksi Api

Item Type: Thesis (S1)
Call Number CD: FT/ELK. 24 049
Call Number: ST/14/24/037
NIM/NIDN Creators: 41419120092
Uncontrolled Keywords: Internet of Things (IoT), Logika Fuzzy, Respon, Sensor Suhu, Sensor Gas, Sensor Deteksi Api
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 003 Systems/Sistem-sistem > 003.1 System Identification/Identifikasi Sistem
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.6 Interfacing and Communications/Tampilan Antar Muka (Interface) dan Jaringan Komunikasi Komputer
000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika > 004.6 Interfacing and Communications/Tampilan Antar Muka (Interface) dan Jaringan Komunikasi Komputer > 004.67 Wide Area Network (WAN)/Wide Area Network > 004.678 Internet (World Wide Web)/Internet
600 Technology/Teknologi > 600. Technology/Teknologi > 604 Technical Drawing/Menggambar Teknik, Hazardous Materials Technology/Teknologi Bahan Berbahaya, groups of people/Kelompok Masyarakat > 604.2 Technical Drawing/Menggambar Teknik > 604.24 Specific Drafting Procedures and Conventions/Prosedur dan Konvensi Perancangan Spesifik
600 Technology/Teknologi > 650 Management, Public Relations, Business and Auxiliary Service/Manajemen, Hubungan Masyarakat, Bisnis dan Ilmu yang Berkaitan > 653 Shorthand/Penulisan Cepat, Penulisan dengan Tangan > 653.3 Machine Systems/Sistem Mesin
700 Arts/Seni, Seni Rupa, Kesenian > 720 Architecture/Arsitektur > 725 Public Structures Architecture/Arsitektur Struktur Umum > 725.1 Government Building Architecture/Arsitektur Gedung Pemerintahan > 725.19 Fire Stations/Pemadam Kebakaran
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: khalimah
Date Deposited: 19 Feb 2024 07:02
Last Modified: 19 Feb 2024 07:02
URI: http://repository.mercubuana.ac.id/id/eprint/86242

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