Implementation of Naïve Bayes Algorithm in IoT-based Water Cleanliness Monitoring System

Internet of Things or commonly referred to as IoT is a concept that has the aim to expand the utilization of the internet. The application of IoT can be done in various fields, both in the fields of science, industry, health, and geographical. One example of the application of IoT in this study is for net AI classification, according to Government Regulation No. 82 of 2001 the classification of water quality is divided into 4 classes, namely classes one, two, three and four. By utilizing IoT and implementing the Naive Bayes algorithm as a basis for classification, it can facilitate monitoring of water itself whether it is feasible or not for use in everyday life. In addition to applying the Naive Bayes algorithm as an algorithm for classification, it also designs and builds tools for collecting water data, using temperature, pH, and turbidity sensors. The results obtained are the accuracy of 99.16 % for the temperature sensor, 96.89% for the pH sensor and 100% for the water turbidity sensor.