Comparative performance between C4.5 and Naive Bayes classifiers in predicting student academic performance in a Virtual Learning Environment
Erwina Nurul Azizah (Universitas Negeri Malang)
Utomo Pujianto (Universitas Negeri Malang)
Eki Nugraha (Universitas Pendidikan Indonesia)
undefined Darusalam (TU Delft - Information and Communication Technology)
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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.