Abstract:The lack of air quality monitoring equipment in areas in Indonesia will have a negative impact on health if there is an unconscious decrease in air quality. This study aims to design an air quality monitoring tool using a fuzzy inference system using the Tsukamoto method to provide information in the form of air quality values. By using 3 different types of pollutant sensors, namely MQ2 to detect smoke, MQ7 to detect carbon monoxide (CO) and Sharp GP2YAUF to detect flying dust levels, the data from the reading… Show more
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