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Authors: La Ode Mohamad Zulfiqar ; Nurul Renaningtias and M. Yoka Fathoni

Affiliation: Informatics Engineering of Politeknik Harapan Bersama Tegal, Indonesia, Indonesia

Keyword(s): Educational Data Mining, Hybrid Decision Tree, the Na¨ıve Bayes Classifier, Prediction, Grade, Rate, Graduation.

Abstract: The use of Educational Data Mining (EDM) in educational context has the probability to frame the extant models of teaching and learning by affording new solutions to the interaction problem. An educational domain like student related prediction become so essential in the higher learning institutions since it able to be presenting the rate of the students’ graduations. Through prediction, data is analyzing and able to afford big picture of trends and patterns for the management of the higher educations. Through this paper research we are presenting the utilization of the hybrid decision tree combined with the na¨ıve Bayes classifier. The result showing the accuracy of prediction for graduation rate and graduation grade is 72.73% on the highest value partition.

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Paper citation in several formats:
Zulfiqar, L.; Renaningtias, N. and Fathoni, M. (2020). Educational Data Mining in Graduation Rate and Grade Predictions Utilizing Hybrid Decision Tree and Naïve Bayes Classifier. In Proceedings of the International Conferences on Information System and Technology - CONRIST; ISBN 978-989-758-453-4, SciTePress, pages 151-157. DOI: 10.5220/0009907101510157

@conference{conrist20,
author={La Ode Mohamad Zulfiqar. and Nurul Renaningtias. and M. Yoka Fathoni.},
title={Educational Data Mining in Graduation Rate and Grade Predictions Utilizing Hybrid Decision Tree and Naïve Bayes Classifier},
booktitle={Proceedings of the International Conferences on Information System and Technology - CONRIST},
year={2020},
pages={151-157},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009907101510157},
isbn={978-989-758-453-4},
}

TY - CONF

JO - Proceedings of the International Conferences on Information System and Technology - CONRIST
TI - Educational Data Mining in Graduation Rate and Grade Predictions Utilizing Hybrid Decision Tree and Naïve Bayes Classifier
SN - 978-989-758-453-4
AU - Zulfiqar, L.
AU - Renaningtias, N.
AU - Fathoni, M.
PY - 2020
SP - 151
EP - 157
DO - 10.5220/0009907101510157
PB - SciTePress

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