Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining

Fire is a disaster that can occur due to human negligence. So we need a system that functions to minimize the occurrence of fires by having a working concept to detect fires. This study aims to develop a fire detection system using the forward chaining method. In this detection system apply...

Full description

Bibliographic Details
Main Authors: Irawan Dwi Wahyono, Mochammad Bagus Priyantono
Format: Article
Language:English
Published: Andalas University 2020-09-01
Series:JITCE (Journal of Information Technology and Computer Engineering)
Subjects:
Online Access:http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/63
id doaj-b061f26c21ad4f718306674701ddce2a
record_format Article
spelling doaj-b061f26c21ad4f718306674701ddce2a2020-11-25T03:55:38ZengAndalas UniversityJITCE (Journal of Information Technology and Computer Engineering) 2599-16632020-09-0140210.25077/jitce.4.02.63-71.2020Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward ChainingIrawan Dwi WahyonoMochammad Bagus Priyantono0Universitas Negeri Malang Fire is a disaster that can occur due to human negligence. So we need a system that functions to minimize the occurrence of fires by having a working concept to detect fires. This study aims to develop a fire detection system using the forward chaining method. In this detection system applying Artificial Intelligence where there are parameters of temperature, gas, the presence of fire, and the presence of water. This system also applies the Smart Home concept to detect fires early where there are sensor devices used by DHT 11, FLAME and MQ2. the data obtained from the sensor will be processed by the NodemCU Esp-8266 microcontroller. If there is an indication that caused a fire, the system immediately sends a warning via telegram. The results of this study obtained a precision of .94%, recall 93.6% and an accuracy of 96%. http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/63Fire, Artificial Intelligence, Forward Chaining, Smart Home, Accuracy
collection DOAJ
language English
format Article
sources DOAJ
author Irawan Dwi Wahyono
Mochammad Bagus Priyantono
spellingShingle Irawan Dwi Wahyono
Mochammad Bagus Priyantono
Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining
JITCE (Journal of Information Technology and Computer Engineering)
Fire, Artificial Intelligence, Forward Chaining, Smart Home, Accuracy
author_facet Irawan Dwi Wahyono
Mochammad Bagus Priyantono
author_sort Irawan Dwi Wahyono
title Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining
title_short Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining
title_full Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining
title_fullStr Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining
title_full_unstemmed Implementasi Smart Home Pada Pendeteksi Dini Kebakaran Menggunakan Forward Chaining
title_sort implementasi smart home pada pendeteksi dini kebakaran menggunakan forward chaining
publisher Andalas University
series JITCE (Journal of Information Technology and Computer Engineering)
issn 2599-1663
publishDate 2020-09-01
description Fire is a disaster that can occur due to human negligence. So we need a system that functions to minimize the occurrence of fires by having a working concept to detect fires. This study aims to develop a fire detection system using the forward chaining method. In this detection system applying Artificial Intelligence where there are parameters of temperature, gas, the presence of fire, and the presence of water. This system also applies the Smart Home concept to detect fires early where there are sensor devices used by DHT 11, FLAME and MQ2. the data obtained from the sensor will be processed by the NodemCU Esp-8266 microcontroller. If there is an indication that caused a fire, the system immediately sends a warning via telegram. The results of this study obtained a precision of .94%, recall 93.6% and an accuracy of 96%.
topic Fire, Artificial Intelligence, Forward Chaining, Smart Home, Accuracy
url http://jitce.fti.unand.ac.id/index.php/JITCE/article/view/63
work_keys_str_mv AT irawandwiwahyono implementasismarthomepadapendeteksidinikebakaranmenggunakanforwardchaining
AT mochammadbaguspriyantono implementasismarthomepadapendeteksidinikebakaranmenggunakanforwardchaining
_version_ 1724469026994782208