Potential Fire Hazard Detection System Based on Microcontroller Using the Fuzzy Mamdani Method

Arif Budi Sampurna, Edy Setiawan, Imam Sutrisno, Urip Mudjiono, Boedi Herijono, Tri Hartanto, Ignatius Nugroho

2022

Abstract

Early fire prevention is very important. Based on statistical data from the DKI Jakarta Provincial Fire and Rescue Service. In 2016 there were 1,047 fire cases, while in 2017 it almost doubled to 2,055 cases. The danger of a room is also influenced by the level of a gas (based on LEL and UEL values). Therefore, it is necessary to have a tool to prevent or warn of potential fire hazards early. This final project research makes potential fire hazard detection system. The sensors used include MQ-9, MQ-5, MQ-2, and thermal sensor AMG8833. The working system of this tool is AMG8833 connect raspberry to detects fire, output from AMG8833 will be sent to Arduino as input for Fuzzy Mamdani along with the values from the sensors MQ-9, MQ-5, MQ- 2 (there are 4 inputs). The result or decision of Fuzzy is the level of potential fire hazard that occurs. The results of the research are expected to be able to provide early warning or prevention of fire. In addition, it is hoped that this research module can be used as a teaching module for fire hazard detection systems to support a better vocational education system. From 10 trials, 90% of the system success was found for detecting potential fire hazards, for detecting fires using AMG8833 also success and for the success of sending information via LED-RBG by 90%, and via telegram 100%.

Paper Citation

in Harvard Style

Budi Sampurna A., Setiawan E., Sutrisno I., Mudjiono U., Herijono B., Hartanto T. and Nugroho I. (2022). Potential Fire Hazard Detection System Based on Microcontroller Using the Fuzzy Mamdani Method. In Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES; ISBN 978-989-758-619-4, SciTePress, pages 300-306. DOI: 10.5220/0011762500003575

in Bibtex Style

@conference{icast-es22,
author={Arif Budi Sampurna and Edy Setiawan and Imam Sutrisno and Urip Mudjiono and Boedi Herijono and Tri Hartanto and Ignatius Nugroho},
title={Potential Fire Hazard Detection System Based on Microcontroller Using the Fuzzy Mamdani Method},
booktitle={Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES},
year={2022},
pages={300-306},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011762500003575},
isbn={978-989-758-619-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES
TI - Potential Fire Hazard Detection System Based on Microcontroller Using the Fuzzy Mamdani Method
SN - 978-989-758-619-4
AU - Budi Sampurna A.
AU - Setiawan E.
AU - Sutrisno I.
AU - Mudjiono U.
AU - Herijono B.
AU - Hartanto T.
AU - Nugroho I.
PY - 2022
SP - 300
EP - 306
DO - 10.5220/0011762500003575
PB - SciTePress