The Implementation of Fuzzy Logic for Fire Extinguishing Robot Based on Arduino Uno

Currently, robots are widely used to help human life. One of the functions of robots is to help humans do risky work. One of them is a fire extinguishing robot. This robot is a form of autonomously moving robot designed to assist in handling disasters or find hot spots in a fire disaster. This research aims to implement fuzzy logic on fire extinguishing robots so that they can extinguish fires according to the fire conditions. In this research, two sensors were used to generate input data in the fuzzification process, namely the flame and smoke sensors. Both sensors were integrated with a microcontroller on the Arduino Uno board to produce the voltage output to regulate the speed of the DC fan. The evaluation result showed that fuzzy logic can work on the robot according to the design through the stages of fuzzification, inference, and defuzzification. The result showed that the DC fan rotational speed level can be adjusted based on the condition detected by the sensor to extinguish the fire.