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; null Darusalam

doi:10.1109/ICEAT.2018.8693928

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

Information and Communication Technology

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

17 Citations (Scopus)

94 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 language	English
Title of host publication	2018 4th International Conference on Education and Technology, ICET 2018
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	18-22
Number of pages	5
ISBN (Electronic)	9781538674253
DOIs	https://doi.org/10.1109/ICEAT.2018.8693928
Publication status	Published - 2019
Event	4th International Conference on Education and Technology, ICET 2018 - Malang, Indonesia Duration: 26 Oct 2018 → 28 Oct 2018

Conference

Conference	4th International Conference on Education and Technology, ICET 2018
Country/Territory	Indonesia
City	Malang
Period	26/10/18 → 28/10/18

Keywords

C4.5
Data Mining
Naive Bayes
Prediction

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10.1109/ICEAT.2018.8693928

Comparative performance betweenAccepted author manuscript, 413 KB

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Azizah, E. N., Pujianto, U., Nugraha, E., & Darusalam (2019). Comparative performance between C4.5 and Naive Bayes classifiers in predicting student academic performance in a Virtual Learning Environment. In 2018 4th International Conference on Education and Technology, ICET 2018 (pp. 18-22). Article 8693928 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICEAT.2018.8693928

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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 Na{\"i}ve 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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Azizah, EN, Pujianto, U, Nugraha, E & Darusalam 2019, Comparative performance between C4.5 and Naive Bayes classifiers in predicting student academic performance in a Virtual Learning Environment. in 2018 4th International Conference on Education and Technology, ICET 2018., 8693928, Institute of Electrical and Electronics Engineers (IEEE), pp. 18-22, 4th International Conference on Education and Technology, ICET 2018, Malang, Indonesia, 26/10/18. https://doi.org/10.1109/ICEAT.2018.8693928

Comparative performance between C4.5 and Naive Bayes classifiers in predicting student academic performance in a Virtual Learning Environment. / Azizah, Erwina Nurul; Pujianto, Utomo; Nugraha, Eki et al.
2018 4th International Conference on Education and Technology, ICET 2018. Institute of Electrical and Electronics Engineers (IEEE), 2019. p. 18-22 8693928.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AB - 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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KW - Data Mining

KW - Naive Bayes

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Azizah EN, Pujianto U, Nugraha E, Darusalam. Comparative performance between C4.5 and Naive Bayes classifiers in predicting student academic performance in a Virtual Learning Environment. In 2018 4th International Conference on Education and Technology, ICET 2018. Institute of Electrical and Electronics Engineers (IEEE). 2019. p. 18-22. 8693928 doi: 10.1109/ICEAT.2018.8693928

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

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