Sistem Prediksi Kebakaran Hutan Menggunakan Metode Fuzzy Logic

Forest and land fires are a serious problem that often occurs in Indonesia, especially during the dry season. The impacts are very broad, ranging from ecosystem damage, health problems, to economic losses. This research aims to design and build a forest fire prediction system based on the Internet of Things (IoT) using the Fuzzy Logic method. This system is equipped with a temperature sensor (DHT22), a smoke sensor (MQ-4), and a flame sensor (Flame Sensor) connected to a NodeMCU ESP8266 microcontroller. Data collected by the sensors will be processed and analyzed using the Fuzzy Logic method to determine the level of fire risk with the categories "Safe", "Alert", and "Dangerous". Test results show that the system is capable of detecting changes in temperature, humidity, smoke, and the presence of fire in real time and providing alerts via the website. The temperature sensor has an average error of 4.8%–5%, the humidity 4.1%–4.5%, and the fire sensor can detect fires up to 300 cm away. With a high level of accuracy, this system can improve preparedness for potential forest fires and help authorities take preventive action quickly.