Implementation of Mean of Maximum on Cigarette Smoke Control in a Room

Abstract

Home automation is an IoT technology that has the ability to communicate between devices. This technology requires a method for making the decision process. Fuzzy logic method is a solution to this problem. Fuzzy Logic is a method that functions to replicate and run human knowledge to control a system. In fuzzy logic algorithm, there are three main processes, which are fuzzification, inference, and defuzzification. Defuzzification process requires a method to obtain the value of crisp solutions. One of the many methods is Mean of Maximum (MoM). MoM is an algorithm that calculates the average of fuzzy conclusions or outputs that have the highest degree. In this research, we apply the MoM method in the defuzzification process to build a smoke emission control system in a room using an exhaust fan. Wemos D1 mini is used as a controller and processor in the system. And using telegram chatbot for communication media between users and the system. There are 27 rules in this system with 100% functionality. This research topic is very useful to keep the air clean and fresh in the room and avoid the dangers of cigarette smoke that can damage health.