PERANCANGAN SISTEM DETEKSI KEBAKARAN SECARA REAL-TIME MENGGUNAKAN METODE FUZZY MAMDANI

POLII, ANDI APRIANSAH (2024) PERANCANGAN SISTEM DETEKSI KEBAKARAN SECARA REAL-TIME MENGGUNAKAN METODE FUZZY MAMDANI. S1 thesis, Universitas Mercu Buana Jakarta.

[img]
Preview
Text (HAL COVER)
01 Cover.pdf

Download (551kB) | Preview
[img]
Preview
Text (ABSTRAK)
02 Abstrak.pdf

Download (80kB) | Preview
[img] Text (BAB I)
03 Bab 1.pdf
Restricted to Registered users only

Download (128kB)
[img] Text (BAB II)
04 Bab 2.pdf
Restricted to Registered users only

Download (290kB)
[img] Text (BAB III)
05 Bab 3.pdf
Restricted to Registered users only

Download (447kB)
[img] Text (BAB IV)
06 Bab 4.pdf
Restricted to Registered users only

Download (331kB)
[img] Text (BAB V)
07 Bab 5.pdf
Restricted to Registered users only

Download (30kB)
[img] Text (DAFTAR PUSTAKA)
08 Daftar Pustaka.pdf
Restricted to Registered users only

Download (86kB)
[img] Text (LAMPIRAN)
09 Lampiran.pdf
Restricted to Registered users only

Download (322kB)

Abstract

Fire is a natural disaster that we cannot desire and can cause damage. Therefore, this research aims to design a fire detection system that can provide a warning if it detects the presence of fire and gas points. With this real-time fire detection system, it is useful to minimize casualties and damage. Real-time fire detection system design using the Fuzzy mamdani method. The design of this fire detection system uses an ESP8266 microcontroller, Flame Sensor, MQ-2 Sensor, Buzzer, and LED (Light Emitting Diode). The design of this tool uses the Fuzzy Mamdani Method. The Fuzzy Mamdani method is used to provide output decisions based on Fuzzy calculation parameters. There are several Fuzzy calculation processes, including the process of forming Fuzzy sets, Fuzzyfication, deFuzzyfication. For sensor data information on this tool, it is connected in real-time with the Telegram and Blynk applications. This application can be accessed via smartphone, tablet and computer. The results of the real-time fire detection system tool test, this tool can detect the presence of fire points starting from 5 centimeters (CM) - 30 centimeters (CM) and gas detection starting from gas levels of 500 parts per million (PPM) - 1050 parts per million (PPM). This tool has a drawback, namely that this tool must be connected to the internet. Telegram and Blynk as the IoT used have been running well. Keywords: Fire Detection System, ESP8266, Flame Sensor, MQ-2 Sensor, Fuzzy Mamdani, Blynk, Telegram Kebakaran adalah suatu peristiwa bencana alam yang tidak dapat kita kehendaki dan dapat menimbulkan kerusakan. Oleh karena itu penelitian ini bertujuan untuk merancang sebuah sistem deteksi kebakaran yang dapat memberikan peringatan jika mendeteksi keberadaaan titik api dan gas. Dengan adanya sistem deteksi kebakaran secara real-time tersebut, berguna untuk meminimalisir terjadinya korban jiwa dan kerusakan. Perancangan sistem deteksi kebakaran secara real-time menggunakan metode Fuzzy mamdani. Perancangan sistem deteksi kebakaran ini menggunakan mikrokontroler ESP8266, Sensor Flame, Sensor MQ-2, Buzzer, dan LED (Light Emiting Dioda), Perancangan alat ini menggunakan Metode Fuzzy Mamdani, Metode Fuzzy mamdani digunakan sebagai pemberi keputusan output berdasarkan parameter perhitungan Fuzzy. Terdapat beberapa proses perhitungan Fuzzy diantaranya, yaitu proses pembentukan himpunan Fuzzy, Fuzzyfikasi, deFuzzyfikasi. Untuk informasi data sensor pada alat ini terhubung secara real-time dengan aplikasi telegram dan blynk. Aplikasi tersebut dapat diakses melalui smartphone, tablet, dan computer. Hasil pengujian alat sistem pendeteksi kebakaran secara real-time, alat ini dapat mendeteksi keberadaan titik api mulai dari 5 sentimeter (CM) – 30 sentimeter (CM) dan deteksi gas mulai dari kadar gas 500 parts per million (PPM) - 1050 parts per million (PPM). Alat ini mempunyai kekurangan yaitu alat ini wajib terkoneksi dengan internet. Telegram dan Blynk sebagai Iot yang digunakan sudah berjalan dengan baik. Kata kunci: Sistem Deteksi Kebakaran, ESP8266, Sensor Flame, Sensor MQ-2, Fuzzy Mamdani, Blynk, Telegram

Item Type: Thesis (S1)
Call Number CD: FT/ELK. 24 110
Call Number: ST/14/24/090
NIM/NIDN Creators: 41420010032
Uncontrolled Keywords: Sistem Deteksi Kebakaran, ESP8266, Sensor Flame, Sensor MQ-2, Fuzzy Mamdani, Blynk, Telegram
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 > 005 Computer Programmming, Programs, Data/Pemprograman Komputer, Program, Data > 005.3 Programs/Program > 005.37 Programs for Specific Processing Modes/Program untuk Mode Pengolahan Tertentu > 005.373 Programs for Real-Time Computer Systems/Program untuk Sistem Komputer Real-Time
300 Social Science/Ilmu-ilmu Sosial > 380 Commerce, Communications, Transportation (Perdagangan, Komunikasi, Transportasi) > 384 Communications Telemunications/Komunikasi Telekomunikasi > 384.1 Telegraph/Telegram
Divisions: Fakultas Teknik > Teknik Elektro
Depositing User: khalimah
Date Deposited: 22 Aug 2024 03:12
Last Modified: 28 Aug 2024 06:30
URI: http://repository.mercubuana.ac.id/id/eprint/90552

Actions (login required)

View Item View Item