Implementation of Fuzzy Logic for Fire Detection Systems in Buildings Based on Internet of Things

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Jurnal

Implementation of Fuzzy Logic for Fire Detection Systems in Buildings Based on Internet of Things

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Fire disaster is a condition or condition where a building in one place is engulfed in fire. This results
in loss of assets/property and loss of life in places such as factories, buildings, markets, housing, gas
stations and even forests. The purpose of this study is to manufacture an internet of things based
fire detection system using the fuzzy logic method which functions to provide early warning to
residents who are outside the home and can monitor if a fire occurs so that it can be dealt with early
and minimize losses due to fire. The method used is fuzzy logic with system development using a
waterfall, data collection is done by observation techniques and literature study. The results of the
research after conducting analysis, design, and testing showed that the automatic fire detection
system could detect the surrounding conditions correctly, and also the use of a fuzzy logic system in
this system can make the fire detection system more informative by having more fire level indicators
namely SAFE, Towards ALERT, ALERT, Towards DANGER, and DANGER. The distance needed by the
device to detect fire is about 1 meter.
Keywords: Fire Detection Systems, Fuzzy Logic, Internet of Things, Microcontrollers, Arduino Mega.
DOI Number: 10.14704/NQ.2022.20.16.NQ880132 NeuroQuantology2022;20(16):1332-1342


Detail Information

Item Type
Jurnal
Penulis
Aneu Yulianeu - Personal Name
Agus Ramdhani Nugraha - Personal Name
Andri Sukmaindrayana - Personal Name
Dadang Haryanto - Personal Name
Student ID
0427087801;0408056601;0424077602;0428027801
Dosen Pembimbing
Penguji
Kode Prodi PDDIKTI
55201
Edisi
Published
Departement
Kontributor
Bahasa
English
Penerbit Anka Publishers : Turqey.,
Edisi
Published
Subyek
No Panggil
Volume 20, issue 16, PAGE 1332-1342
Copyright
Doi

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