PERANCANGAN DAN IMPLEMENTASI SISTEM DETEKSI DINI KEBAKARAN BERBASIS IoT DENGAN METODE FUZZY MAMDANI PADA PANEL LISTRIK

SIMANGUNSONG, GIDEON PANAHATAN (2025) PERANCANGAN DAN IMPLEMENTASI SISTEM DETEKSI DINI KEBAKARAN BERBASIS IoT DENGAN METODE FUZZY MAMDANI PADA PANEL LISTRIK. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

Fires in electrical panels are a serious risk that can threaten the safety and continuity of industrial operations. The manufacturing industry requires an effective and responsive fire protection system for panels electricity. This research aims to design, build and analyze a Design and Implementation of an IoT-Based Early Warning Fire Detection System Using the Mamdani Fuzzy Method on an Electrical Panel for quick handling of fire incidents. The prototype design process includes requirements analysis, architectural design analysis, and system development analysis. The main system components consist of an ESP32 microcontroller, DHT22 temperature and MQ2 smoke sensors, an automatic suppression system, and a WiFi module for IoT connectivity. The Fuzzy Mamdani control method is implemented to broadcast the fire risk level based on input from various sensors, enabling early detection and more accurate response. The system is integrated with the ThingSpeak platform for real-time monitoring, data visualization and emergency notifications and sent to telegram. The test results show that the prototype system is able to work well and quickly. The prototype system is able to detect temperature with an error percentage of 0.3%, detect humidity with an error percentage of 0.8% and detect gas (smoke) concentration with an error percentage of 0.3%. The results can be said to be appropriate and in line with the rulebase of this research. Keywords: Prototype System, Fire protection, Internet of Things (IoT), Fuzzy Mamdani, ESP32, DHT22, MQ2, ThingSpeak Kebakaran pada panel listrik merupakan risiko serius yang dapat mengancam keselamatan dan kelangsungan operasional industri. Industri manufaktur membutuhkan sistem proteksi kebakaran yang efektif dan responsif untuk panel listrik. Penelitian ini bertujuan merancang, membangun, dan menganalisis Perancangan Dan Implementasi Sistem Deteksi Dini Kebakaran Berbasis IoT Dengan Metode Fuzzy Mamdani Pada Panel Listrik dalam penanganan cepat insiden kebakaran. Proses rancang prototype meliputi analisis kebutuhan, analisis perancangan arsitektur, dan analisis pengembangan sistem. Komponen utama sistem terdiri dari mikrokontroler ESP32, sensor suhu DHT22 dan asap MQ2, sistem suppression otomatis, serta modul WiFi untuk konektivitas IoT. Metode kendali Fuzzy Mamdani diimplementasikan untuk mengevaluasi tingkat risiko kebakaran berdasarkan input dari berbagai sensor, memungkinkan deteksi dini dan respons yang lebih akurat. Sistem ini terintegrasi dengan platform ThingSpeak untuk pemantauan real-time, visualisasi data, dan notifikasi darurat dan dikirim ke telegram. Hasil pengujian menunjukkan bahwa sistem prototype mampu bekerja dengan baik dan cepat. System prototype mampu mendeteksi suhu dengan persentase error sebesar 0,3%, mendeteksi kelembapan dengan persetase error 0,8% dan mendeteksi konsentrasi gas (asap) dengan persentase error sebesar 0,3%. Hasil dapat dikatakan sesuai dan sejalan dengan rulebase penelitian ini. Kata kunci: Sistem Prototype, Proteksi kebakaran, Internet ofThings (IoT), Fuzzy Mamdani, ESP32, DHT22, MQ2, ThingSpeak

Item Type:	Thesis (S1)
Call Number CD:	FT/ELK. 25 103
NIM/NIDN Creators:	41423120025
Uncontrolled Keywords:	Sistem Prototype, Proteksi kebakaran, Internet ofThings (IoT), Fuzzy Mamdani, ESP32, DHT22, MQ2, ThingSpeak
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 > 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 300 Social Science/Ilmu-ilmu Sosial > 330 Economics/Ilmu Ekonomi > 333 Economic of Land and Energy/Ekonomi Tanah dan Energi Ekonomis > 333.7 Natural Resources and Energy, Environment/Sumber Daya Alam dan Energi, Lingkungan 500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 530 Physics/Fisika > 536 Heat/Panas > 536.5 Temperature/Temperatur, Suhu 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 621 Applied Physics/Fisika terapan > 621.3 Electrical Engineering, Lighting, Superconductivity, Magnetic Engineering, Applied Optics, Paraphotic Technology, Electronics Communications Engineering, Computers/Teknik Elektro, Pencahayaan, Superkonduktivitas, Teknik Magnetik, Optik Terapan, Tekn
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	khalimah
Date Deposited:	24 Sep 2025 04:13
Last Modified:	24 Sep 2025 04:13
URI:	http://repository.mercubuana.ac.id/id/eprint/98434

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