Implementation of Fuzzy Logic and Bayesian Algorithm to Classify the Students in Selecting KAPKI, KKU or KKN

Sarwono, Lukman (2010) Implementation of Fuzzy Logic and Bayesian Algorithm to Classify the Students in Selecting KAPKI, KKU or KKN. Other thesis, Fakultas Ilmu Komputer, UNIKA Soegijapranata.

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Abstract

This application is used to classify students in selecting KKU, KAPKI or KKN. To classify in KKU, KAPKI or KKN there are a requirement to be completed and this application use it as a parameters. This application using fuzzy logic and Bayesian as a algorithm to get the conclusion and tree as a data structure. This project also will compare between fuzzy logic and Bayesian. The comparison using steps and time spent each algorithm.

Item Type: Thesis (Other)
Subjects: 000 Computer Science, Information and General Works > 005 Computer programming, programs & data > Information Systems
Divisions: Faculty of Computer Science
Depositing User: Mr Ign. Setya Dwiana
Date Deposited: 16 Mar 2016 08:43
Last Modified: 16 Mar 2016 08:43
URI: http://repository.unika.ac.id/id/eprint/7987

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