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

Erwina Nurul Azizah, Utomo Pujianto, Eki Nugraha, Darusalam

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)
66 Downloads (Pure)

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.

Original languageEnglish
Title of host publication2018 4th International Conference on Education and Technology, ICET 2018
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages18-22
Number of pages5
ISBN (Electronic)9781538674253
DOIs
Publication statusPublished - 2019
Event4th International Conference on Education and Technology, ICET 2018 - Malang, Indonesia
Duration: 26 Oct 201828 Oct 2018

Conference

Conference4th International Conference on Education and Technology, ICET 2018
CountryIndonesia
CityMalang
Period26/10/1828/10/18

Keywords

  • C4.5
  • Data Mining
  • Naive Bayes
  • Prediction

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