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) |
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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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