Implementation of Naïve Bayes Algorithm in IoT-based Water Cleanliness Monitoring System
khaerul Manaf (a*), Faiz M Kaffah (b) Edi Mulyana(c), Nurfi Agnia (d)

a) Information Systems,Faculty of Engineering,Universitas Sangga Buana,Jalan PHH Mustofa No.68 , Bandung 40124, Indonesia.
b) Informatics, Universitas Informatika dan Bisnis Indonesia ,Jl.Soekarno-Hatta St No.643, Bandung 40285, Indonesia.
c,d)Informatics,Faculty of Science and Technology,UIN Sunan Gunung Djati Bandung Jl. A.H. Nasution No.105, Bandung 40614, Indonesia.

Abstract

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 also 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 also four. By utilizing IoT and implementing the Naïve 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 Naïve 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.

Keywords: Hygiene Water, Internet of Things, Naïve Bayes, Class of water

Topic: Computer Science