IJAIT (International Journal of Applied Information Technology)
Vol 1 No 02 (2017)

Decision Support Systems to Selection of Diet Type Using Fuzzy Sugeno and Naïve Bayes Method

Youllia Indrawaty Nurhasanah (Department of Informatics, Faculty of Industrial Technology, Institut Teknologi Nasional (Itenas))
Asep Nana Hermana (Department of Informatics, Faculty of Industrial Technology, Institut Teknologi Nasional (Itenas))
Mahesa Arga Hutama (Department of Informatics, Faculty of Industrial Technology, Institut Teknologi Nasional (Itenas))



Article Info

Publish Date
07 Dec 2017

Abstract

Sugeno Fuzzy algorithm is one of the algorithms contained on Fuzzy Inference System, that used to describe the condition between the two pieces of the decisions represented in the form of rules IF - THEN, where the output is constant or linear equations. While the Naive Bayes algorithm is an algorithm that uses data classification to a particular class based on the probability of each data class. Both of these algorithms can be implemented on a Decision Support System (DSS) for diet selection, using Fuzzy Sugeno as an additional determinant of energy and Naive Bayes method as decision maker. This is because the need for food intake and diet has become a problem for humans. To prevent excess intake of food it needs dietary adjustments or so-called diet. But in daily life, people sometimes hard to determine the type of diet that is suitable for them. So we need a system that can determine the type of diet that is suitable for a person. The data that used as a reference for decision support are age, daily caloric requirement, Body Mass Index (BMI), blood pressure, cholesterol, uric acid and blood sugar levels. Results of system testing showed from a sample of 30 data there are 26 appropriate data and 4 inappropriate data to determine the type of diet by the system with the success rate of 86.7%.

Copyrights © 2017






Journal Info

Abbrev

ijait

Publisher

Subject

Computer Science & IT

Description

International Journal of Applied Information Technology covers a broad range of research topics in information technology. The topics include, but are not limited to avionics, bio medical instrumentation, biometric, computer network design, cryptography, data compression, digital signal processing, ...