Open AccessThe Decision Support System for Development of Hardness Water Management System with Fuzzy Naive Bayes Method
Author(s) -
Muhamad Radzi Rathomi,
Ferdi Chahyadi
Publication year - 2019
Publication title -
jurnal sustainable
Language(s) - English
Resource type - Journals
eISSN - 2615-6334
pISSN - 2087-5347
DOI - 10.31629/sustainable.v8i1.727
Subject(s) - naive bayes classifier , decision support system , computer science , data mining , categorization , machine learning , management system , fuzzy logic , bayes' theorem , artificial intelligence , engineering , bayesian probability , support vector machine , operations management
Water is substantial requirement for human being, well water management system is necessary to meet the requirement. Decision support system is needed for development of water management system. This research try to develop Decision Support System to provide sugestion for Hardness water management. Sugestion will be generated, based from sensors data which is installed in water management system. Timing data when chemical adjusment in processing system will give some impact for sugestion. We will use Naive Bayes method to generate the sugestion from collected data. However, this classification method work with categorial data, whereas output from water management system are numerical data. Therefore, Fuzzy set will be used to categorize those data. The experimental result shows Fuzzy Naive Bayes method can classify those numerical data and can be used to be decision support system for water hardness management.