Application of Decision Tree C4.5 to determine post-Madrasah Aliyah students' college majors (case study: Madrasah Aliyah Misbahul Ulum)

Authors

  • Tasya Mulyani Universitas Malikussaleh
  • Bustami Informatics Engineering, Universitas Malikussaleh, Aceh, Lhokseumawe, 24353, Indonesia
  • Sujacka Retno Informatics Engineering, Universitas Malikussaleh, Aceh, Lhokseumawe, 24353, Indonesia

Keywords:

C4.5 algorithm, decision tree, php, system

Abstract

This research aims (1) To apply Decision Tree C4.5 in determining post-Madrasah Aliyah students' college majors (2) To find out the results of applying the C4.5 Decision Tree Method in determining post-Madrasah Aliyah students' college majors (3) To design a system decision support to simplify and speed up the process of analyzing student data to determine post-Madrasah Aliyah students' college majors. This system was developed using the PHP programming language by applying the C4.5 Decision Tree algorithm method. Decision Tree is a machine learning algorithm that uses a set of rules to make decisions with a tree-like structure with the concept of presenting the algorithm with conditional statements, which includes branches to represent decision-making steps that can lead to profitable results by determining the value of entropy, split info and he gain ratio of this research produces objective results. Involving students from class 12 odd semesters, this research resulted in the identification of engineering majors for each student.

Keywords: C4.5 algorithm, decision tree, php, system

References

[1] Badrul, M. (2021). Penerapan Metode Profile Matching Untuk Menunjang Keputusan Seleksi Pegawai Baru. PROSISKO: Jurnal Pengembangan Riset Dan Observasi Sistem Komputer, 8(1), 75–82. https://doi.org/10.30656/prosisko.v8i1.2815.

[2] Darnila, E., Al-Kautsar, H., & Iksan, Y. (2020). Analysis of Patient Disease Trends Based on Medical Record Data Using the C4. 5 Algorithm. Login: Jurnal Teknologi …, 14(1), 7–12. http://www.login.seaninstitute.org/index.php/Login/article/view/11%0Ahttp://www.login.seaninstitute.org/index.php/Login/article/download/11/18.

[3] Devia, E. (2023). Penerapan Decision Tree Dengan Algoritma C4.5 Untuk Menentukan Rekomendasi Kenaikan Jabatan Karyawan. Jurnal Information System, 3(1), 28–37. https://doi.org/10.61488/jis.v3i1.257.

[4] Effendy, E., Siregar, E. A., Fitri, P. C., & Damanik, I. A. S. (2023). Mengenal Sistem Informasi Manajemen Dakwah (Pengertian Sistem, Karakteristik Sistem). Jurnal Pendidikan Dan Konseling, 5(2), 4343–4349.

[5] Fikry, M., Rizal, Fadlisyah, Nurdin, Bustami, Hamdhana, D., & Qamal, M. (2020). Data Mining for Processing of Research and Community Service by Lecturer Using Decision Tree Method. International Journal of Psychosocial Rehabilitation, Conference Special Issue, 24(1475–7192), 367–371.

[6] Kadir, A. M., Yahya, M., & Mappalotteng, A. M. (2021). Pengembangan Sistem Rekomendasi Pemilihan Program Studi di Universitas Negeri Makassar Menggunakan Metode Decision Tree. Seminar Nasional LP2M UNM, 2750–2581.

[7] Tamir, M. A. (2019). Perancangan Aplikasi Data Mining Menggunakan Metode Decision Tree Untuk Analisa Pemberian Kredit Pada Bri Unit LalabataRilau. Jurnal Ilmiah Sistem Informasi Dan Teknik Informatika, 2(1), 1–10.

[8] Yahya, V. Y., Yudhistira, F., & Manurung, L. (2023). Perancangan Sistem Informasi Pemesanan Sparepart Pengolahan Kelapasawit Pada Cv Ltsu Berbasis Java. Semnas Ristek (Seminar Nasional Riset Dan Inovasi Teknologi), 7(1), 711–717. https://doi.org/10.30998/semnasristek.v7i1.6404.

Downloads

Published

2024-12-27

Issue

Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)

Section

Articles

License

Copyright (c) 2024 tasya mulyani, Bustami, Sujacka Retno

Creative Commons License

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

Copyright Notice

Authors published in this journal agree to the following terms:
1. The copyright of each article is retained by the author (s).
2. The author grants the journal the first publication rights with the work simultaneously licensed under the Creative Commons Attribution License, allowing others to share the work with an acknowledgment of authorship and the initial publication in this journal.
3. Authors may enter into separate additional contractual agreements for the non-exclusive distribution of published journal versions of the work (for example, posting them to institutional repositories or publishing them in a book), with acknowledgment of their initial publication in this journal.
4. Authors are permitted and encouraged to post their work online (For example in the Institutional Repository or on their website) before and during the submission process, as this can lead to productive exchanges, as well as earlier and larger citations of published work.
5. Articles and all related material published are distributed under a Creative Commons Attribution-ShareAlike 4.0 International License.