Journal of Computer Science and Engineering (JCSE)
Vol 1, No 2: August (2020)

Perbandingan Algoritme C4.5 and Naive Bayes untuk Mengetahui Masa Studi

Siti Nur‘Aisyah (Universitas Amikom Purwokerto)



Article Info

Publish Date
02 Aug 2020

Abstract

This research was  to make comparisons between Algorithms C4.5 and Naive Bayes which is implemented on the data of graduation of Universitas Amikom Purwokerto students from 2011 to 2013 for Strata 1, Informatics Engineering study program for the renowned study. Attributes are NIM, gender, Achievement Index Semester 1 through 6 and graduation period. The test results with both algorithms use the Selection-Based Correlation feature feature (CFS) and testing methods using Confusion Matrix. Known Algorithm C4.5 has an accuracy of 72.679% with Precision value of 0.742, Remember 0.936 and F - Measure 0.828 whereas Naive Bayes obtained an accuracy of 73.6074% with a Precision value of 0.755, Remember 0.924 and F - Measure 0.831

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Journal Info

Abbrev

JCSE

Publisher

Subject

Computer Science & IT

Description

Computer Architecture, Processor design, operating systems, high-performance computing, parallel processing, computer networks, embedded systems, theory of computation, design and analysis of algorithms, data structures and database systems, theory of computation, design and analysis of algorithms, ...