IMPLEMENTATION OF C4.5 ALGORITHM IN DATA MINING FOR PREDICTING SCHOLARSHIP RECIPIENT STUDENTS IN UNIVERSITY

Authors

  • Halifia Hendri Universitas Putra Indonesia YPTK Padang
  • Harkamsyah Andrianof Universitas Putra Indonesia YPTK Padang
  • Aggy Pramana Gusman Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.22216/jod.v17i2.1905

Keywords:

Data Mining, C.45 Method, Students, Scholarship Recipients

Abstract

Every student who is enrolled in school wishes to receive a scholarship, especially those who come from low-income homes. The existence of a scholarship can relieve the financial load on parents who are paying for their child's college education and make the lecture process easier. However, the majority of students are unsure of how to apply for the award. Students, understandably, want to know what characteristics and conditions have the most impact on their ability to obtain a scholarship. The goal of this research is to see if the C4.5 approach can be used to forecast the number of students who will receive university scholarships. In research, the Rapid Miner software version 9.7.002 is utilized to process data. According to the findings of this study, 9 students (9%) will obtain a scholarship and 91 students (91%) will not win a scholarship out of 100 students

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Published

2022-09-30

Issue

Vol. 7 No. 2 (2022): JOURNAL OF DYNAMICS (International Journal of Dynamics in Engineering and Sciences)

Section

Articles

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