Open AccessPerbandingan Algoritme C4.5 and Naive Bayes untuk Mengetahui Masa Studi
Author(s) -
Siti Nur‘Aisyah
Publication year - 2020
Publication title -
journal of computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2721-0251
DOI - 10.36596/jcse.v1i2.75
Subject(s) - graduation (instrument) , naive bayes classifier , confusion matrix , confusion , bayes' theorem , measure (data warehouse) , feature (linguistics) , informatics , value (mathematics) , mathematics , computer science , statistics , artificial intelligence , psychology , data mining , engineering , philosophy , bayesian probability , support vector machine , linguistics , geometry , psychoanalysis , electrical engineering
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