Statistika
Vol 11, No 2 (2011)

Penerapan Algoritma Tree Augmented Naive Bayesian pada Penentuan Peubah Penting

Pingkan Awalia (Unknown)
Aji Hamim Wigena (Unknown)
Anang Kurnia (Unknown)



Article Info

Publish Date
13 Oct 2014

Abstract

In the era of free market competition today, improving product quality is very important. Consumerpreferences through product level of analysis is one method that many manufacturers conducted toevaluate the product. Multivariable regression is a statistical method used to determine the importantvariables. The weakness of this method is the strict assumption. This problem will be completed bythe method of bayesian networks. There are several algorithms to build the BN. This study uses TANand NB because of its simplicity. This study shows that the most accurate method at the chosen levelof classification accuracy is the TAN by 83%. The importance variable is the aspect liking of strengthof after taste.

Copyrights © 2011






Journal Info

Abbrev

statistika

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics

Description

STATISTIKA published by Bandung Islamic University as pouring media and discussion of scientific papers in the field of statistical science and its applications, both in the form of research results, discussion of theory, methodology, computing, and review ...