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

Abstract
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.