Prediction of Timeliness of Graduating with Naïve Bayes Algorithm

Cisde Mulyadi, Sukron

2018

Abstract

The number of students who graduated not on time and dropped out at the final level is still a problem for universities in Indonesia. This can be overcome by making predictions on the number of students who graduate on time so that later it is also known that the prediction of the number of students who graduate is not correct. This study has succeeded in making the prediction model of student graduation using the Naïve Bayes algorithm with an accuracy rate of 94.92%, a precision value of 96.30%, and a recall value of 98.11%. Students who are predicted to pass in a timely manner will be given special handling so that later they can graduate on time.

Paper Citation

in Harvard Style

Mulyadi C. and Sukron. (2018). Prediction of Timeliness of Graduating with Naïve Bayes Algorithm.In Proceedings of the 1st International Conference on Recent Innovations - Volume 1: ICRI, ISBN 978-989-758-458-9, pages 3043-3050. DOI: 10.5220/0009946430433050

in Bibtex Style

@conference{icri18,
author={Cisde Mulyadi and Sukron},
title={Prediction of Timeliness of Graduating with Naïve Bayes Algorithm},
booktitle={Proceedings of the 1st International Conference on Recent Innovations - Volume 1: ICRI,},
year={2018},
pages={3043-3050},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009946430433050},
isbn={978-989-758-458-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Recent Innovations - Volume 1: ICRI,
TI - Prediction of Timeliness of Graduating with Naïve Bayes Algorithm
SN - 978-989-758-458-9
AU - Mulyadi C.
AU - Sukron.
PY - 2018
SP - 3043
EP - 3050
DO - 10.5220/0009946430433050