Internet of Things-Based Water Dirt Detection System Using Fuzzy Logic Sugeno Algorithm
Water turbidity is one of the important indicators of water quality that affects human health and the environment. Many water sources are susceptible to pollution that can increase water turbidity. Traditional methods require manual sampling inefficiently and do not provide real-time data. Internet of Things (IoT) technology allows real-time and remote monitoring of water turbidity, The water turbidity detection system program created will use the Sugeno fuzzy logic method where this method can provide a percentage of water cleanliness based on selected input and apply predetermined rules so that it can produce NTUs output and percentage of water cleanliness. Based on the results of tests that have been carried out in this study, the System has a good level of functionality. the level of accuracy of the results of the system and manual calculations. obtained a level of error difference (error) of 13% meaning that from 100% error rate, the accuracy level value reaches 87% that the program is concluded to be running well. With the website, it can monitor and help make it easier for users to control the level of water turbidity in the environment without having to come to the location. From the tests carried out for the turbidity sensor components, it works well.
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