Comparative performance between C4.5 and Naive Bayes classifiers in predicting student academic performance in a Virtual Learning Environment

Conference paper (2019)

Authors

Erwina Nurul Azizah Universitas Negeri Malang

Utomo Pujianto Universitas Negeri Malang

Eki Nugraha Universitas Pendidikan Indonesia

D. Darusalam

DOI: https://doi.org/10.1109/ICEAT.2018.8693928

Data Mining Prediction Naive Bayes C4.5

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Published Date

2019

Language

English

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Abstract

People now trying to maximizing function of Virtual Learning Environment. Virtual Learning Environment, not only as a place to help learning system but now has become a place of learning itself. But with the change of the learning system, teacher now have difficulty to monitor the activity of the student and the learning material. Although there is data that is considered capable become a benchmark for students and the interaction with Virtual Learning Activity. This paper will make a data prediction using Naïve bayes and C4.5 Algorithm using the Web History data and the sum of webpage interaction of the students in Virtual Learning Environment.

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