C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education

Erlan Darmawan

doi:10.15575/join.v3i1.171

C4.5 Algorithm Application for Prediction of Self Candidate New Students in Higher Education

Authors

Erlan Darmawan Universitas Kuningan Asia E University, Indonesia

DOI:

https://doi.org/10.15575/join.v3i1.171

Keywords:

C4.5 Algorithm, Retirement New Student Candidate, Prediction, Waterfall

Abstract

Data mining has a background with the condition of an abundance of data (the overload data) and the explosion of information faced by companies, institutions, or organizations that have been stored for many years. This situation is also faced in several universities that store various kinds of data, especially new admissions databases. However, the abundant data has not been widely used in digging the information or knowledge that can help university management in making strategic plans. Every year there are new students who retire and do not register, therefore, it takes an application that can process a lot of data to find out the possible retirement for new students. To find out the prediction of retirement prospective students, this paper uses C.45 algorithm. The method can change the very large fact into a decision tree that represents the rule. The result of this research is the application can classify the new students in a tree structure in order that it can produce a rule. This application is able to predict the possibility of the retirement of the new student. With this application, it is expected that the possibility of a prospective student retiring from college can be known at an early stage, so the management can make a decision easily. Development of this application uses PHP as the interface application system and MySql in-database processing. The system development methodology uses the waterfall model

Author Biography

Erlan Darmawan, Universitas Kuningan Asia E University

kepala bagian penelitian universitas kuningan

References

Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, R. (1996). Advances in Knowledge Discovery and Data Mining, vol. 3918.

Darmawan, E. (2013). Sistem Penunjang Keputusan Penerimaan Beasiswa Menggunakan Fuzzy Multiple Attribute Decision Making (FMADM). Nuansa Informatika.

Endarmoko, E. (2006). Tesaurus Bahasa Indonesia. Gramedia.

Pusat Bahasa Departemen Pendidikan Nasional. (2008). Kamus Besar Bahasa Indonesia (Fourth Edition).

Kusrini and Luthfi, E. T. (2009). Algoritma Data Mining. Yogyakarta: Andi.

Larose, D. T. (2005). Discovering Knowledge in Data: An Introduction to Data Mining, vol. 28, no. 1.

Pramudiono, I. (2006). "Apa Itu Data Mining?". Available: [https://datamining.japati.net/cgibin/indodm.cgi?bacaarsip&1155 52767&artikel](https://datamining.japati.net/cgibin/indodm.cgi?bacaarsip&1155 52767&artikel).

Kusrini, H., Hartati, S., and Wardoyo, R. (2009). "Perbandingan metode nearest neighbor dan algoritma c4.5 untuk menganalisis kemungkinan pengunduran diri calon mahasiswa di stmik amikom yogyakarta," J. Dasi, vol. 10(1), no. 1, pp. 1–132.

Downloads

Published

2018-06-30

Issue

Vol. 3 No. 1 (2018)

Section

Article

Citation Check

License

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

You are free to:

Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License