@inproceedings{768a920f414d49f4815f8ac3d3be8656,
title = "Implementation of data mining to predict student graduation using C4.5 algorithm method",
abstract = "Students graduating on time are an essential indicator for a higher education institution in supporting campus accreditation. Several factors cause students to graduate on time, namely the origin of the previous student's school and student interest. This study aims to predict student graduation based on the head of the last student's school and student interest so that higher education institutions can get the basis for decisions that will be taken in the future. The method used in analyzing student data and supporting criteria for predicting student graduation is the C4.5 algorithm. Then for the decision tree classifier, this research uses data mining.",
author = "Dewi Anggraeni and Rizaldi and Akmal Nasution and Abdul Kholiq",
note = "Publisher Copyright: {\textcopyright} 2024 Author(s).; 6th International Conference on Mathematics and Mathematics Education, ICM2E 2022 ; Conference date: 03-09-2022 Through 04-09-2022",
year = "2024",
month = apr,
day = "10",
doi = "10.1063/5.0204488",
language = "English",
series = "AIP Conference Proceedings",
publisher = "American Institute of Physics",
number = "1",
editor = "Yerizon and Rodrigues, \{Paulo Canas\} and Wen, \{Goh Khang\} and Sari, \{Devni Prima\} and Fridgo Tasman and Ronal Rifandi and Rusyda, \{Nurul Afifah\}",
booktitle = "AIP Conference Proceedings",
edition = "1",
}