Application of The C4.5 Algorithm for New Student Admission Selection via Achievement Track at MAN 1 Samarinda

DOI

10.2991/978-94-6463-732-8_29How to use a DOI?

Keywords

Decision; Data; Tree; Education; Algorithm

Abstract

Participating in the New Student Admissions selection process is one method to pursue education. Schools use this selection to sift and select students who are academically suited to benefit from educational opportunities at the institution. The algorithm is employed at MAN 1 Samarinda To aid in classifying data from prospective students. This algorithm, which generates a decision tree, is a renowned method for classification and prediction. Participating in the New Student Admission selection process is one way to attain secondary education. Schools conduct the PPDB selection annually at the start of each academic year. MAN 1 Samarinda is a school that accepts new students based on their achievements rather than their residential zones. This situation allows students from any area to apply without concern for zoning restrictions. A Decision Support System is needed to assist decision-making based on these issues. DSS is an information system designed to help management make decisions related to semi-structured problems. This system can support the decision-making process for prospective new students based on predetermined criteria. The system’s workflow includes all stages of problem-solving, selecting relevant data, and determining the approach used in the decision-making process up to problem resolution and solution implementation. MAN 1 Samarinda helps decide whether or not they are accepted or rejected in classifying the data of prospective new students. C4.5 is a suitable algorithm for classification problems in machine learning and data mining. The admissions process is an educational service designed to ensure citizens’ fundamental right to quality and fair education by adhering to objectivity, accountability, transparency, and non-discrimination principles, thus promoting greater access to high-quality educational services.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ramadiani Ramadiani
AU  - Hanie Sri Romandani
AU  - Ghubta Mahendra Putra
AU  - Muhammad Labib Jundillah
AU  - Azainil Azainil
PY  - 2025
DA  - 2025/06/07
TI  - Application of The C4.5 Algorithm for New Student Admission Selection via Achievement Track at MAN 1 Samarinda
BT  - Proceedings of the International Conference on Tropical Studies and Its Application (ICTROPS 2024)
PB  - Atlantis Press
SP  - 316
EP  - 329
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-732-8_29
DO  - 10.2991/978-94-6463-732-8_29
ID  - Ramadiani2025
ER  -