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All Journal INOVTEK Seri Elektro
Dea Fitriana
Politeknik Negeri Bengkalis

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SISTEM PREDIKSI KEBAKARAN HUTAN MENGGUNAKANMETODE FUZZY LOGIC Dea Fitriana
INOVTEK - Seri Elektro Vol. 7 No. 2 (2025): Desember
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/ise.v7.i2.988

Abstract

Forest and land fires are a serious problem that often occurs in Indonesia, especially duringthe dry season. The impact is very wide, ranging from ecosystem damage, health problems, to economiclosses. This research aims to design and build  an Internet of Things (IoT)-based forest fire predictionsystem using the Fuzzy Logic method. The system is equipped with a temperature sensor (DHT22),smoke sensor (MQ-4), and flame sensor (Flame Sensor) connected to a ESP8266 NodeMCUmicrocontroller. The data collected by the sensors will be processed and analyzed using the Fuzzy Logicmethod  to determine the level of fire risk with the categories of "Safe", "Alert", and "Dangerous". Thetest results showed that the system was able to detect changes in temperature, humidity, smoke, and thepresence of fire in real-time and provide alerts through the website. The temperature sensor has anaverage error of 4.8%–5%, humidity of 4.1%–4.5%, and the fire sensor is able to detect fire up to adistance of 300 cm. With a good level of accuracy, the system can improve preparedness in dealing withpotential wildfires and help authorities take preventive actions quickly and effectively.
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