PENERAPAN MODEL KLASIFIKASI PADA KELULUSAN MAHASISWA DI UNIVERSITAS PERJUANGAN TASIKMALAYA MENGGUNAKAN ALGORITMA C4.5

Authors

  • Salsabila Dewi Nugraha Universitas Perjuangan Tasikmalaya

DOI:

https://doi.org/10.23960/jitet.v12i3.5265

Abstract Views: 147 File Views: 121

Abstract

This study addresses the challenge of student accumulation and seeks to predict timely graduation at the University of Perjuangan Tasikmalaya. According to UNESCO, enhancing the quality of education is key to improving a nation's overall quality. Timely graduation is a critical factor in assessing higher education accreditation and educational efficiency. However, predicting student graduation can be challenging. To tackle this issue, this study utilizes data mining techniques with the Decision Tree Algorithm to predict student graduation. Previous research has demonstrated the effectiveness of classification methods across various data types. In this study, the Decision Tree Algorithm yielded impressive results, with an accuracy rate of 92.233% when using the entire dataset as the training set, and 90.24% accuracy with 80% cross-validation. These results highlight the high accuracy of the Decision Tree Algorithm in classifying student graduation outcomes. Consequently, this study will employ the Decision Tree Algorithm to analyze the factors influencing graduation at the University of Perjuangan Tasikmalaya, providing insights into improving educational outcomes and supporting timely student graduation.

Downloads

Download data is not yet available.

References

I. Kurniawati, R. E. Indrajit, and M. Fauzi, “Peran Bussines Intelligence Dalam Menentukan Strategi Promosi Penerimaan Mahasiswa Baru,” Ikraith-Informatika, vol. 1, no. 2, pp. 70–79, 2017.

S. A. Aradea, Ariyan Z, and Yuliana A, “Penerapan Decision Tree Untuk Penentuan Pola Data Penerimaan Mahasiswa Baru,” Jurnal Penelitian Sitrotika, vol. 7, no. 1, pp. 1693–9670, 2011.

W. E. Nugroho, T. Prihandoyo, and O. Somantri, “Optimalisasi Metode Naive Bayes untuk Menentukan Program Studi bagi Calon Mahasiswa Baru dengan Pendekatan Unsupervised Discretization,” Infotekmesin, vol. 13, no. 1, pp. 161–167, 2022, doi: 10.35970/infotekmesin.v13i1.1048.

F. A. D. Aji Prasetya Wibawa, Muhammad Guntur Aji Purnama, Muhammad Fathony Akbar, “Metode-metode Klasifikasi,” Prosiding Seminar Ilmu Komputer dan Teknologi Informasi, vol. 3, no. 1, p. 134, 2018.

M. S. Simanjuntak et al., “ANALISIS DECISION TREE PADA MENENTUKAN LULUS,” vol. 2, no. 1, pp. 34–42.

S. Shedriko and M. Firdaus, “Penentuan Klasifikasi Dengan Crisp-Dm Dalam Memprediksi Kelulusan Mahasiswa Pada Suatu Mata Kuliah,” Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi), vol. 6, no. 1, pp. 826–831, 2022, doi: 10.30998/semnasristek.v6i1.5814.

Y. T. Samuel and B. Jonathan, “Memprediksi Kelulusan Mahasiswa Tepat Waktu Menggunakan Metode Decision Tree J48 di Universitas Advent Indonesia Predicting Timely Students Graduation Using the Decision Tree J48 Method at Universitas Advent Indonesia,” Telka, vol. Vol 9 No 1, pp. 43–52, 2019.

C. N. Dengen, K. Kusrini, and E. T. Luthfi, “Implementasi Decision Tree Untuk Prediksi Kelulusan Mahasiswa Tepat Waktu,” Sisfotenika, vol. 10, no. 1, p. 1, 2020, doi: 10.30700/jst.v10i1.484.

A. F. A. Naibaho and A. Zahra, “PREDIKSI KELULUSAN SISWA SEKOLAH MENENGAH PERTAMA MENGGUNAKAN MACHINE LEARNING,” Jurnal Informatika dan Teknik Elektro Terapan, vol. 11, no. 3, Jul. 2023, doi: 10.23960/jitet.v11i3.3056.

Nugroho, W. E., Prihandoyo, T., & Somantri, O. (2022). Optimalisasi Metode Naive Bayes untuk Menentukan Program Studi bagi Calon Mahasiswa Baru dengan Pendekatan Unsupervised Discretization. Infotekmesin, 13(1), 161–167. https://doi.org/10.35970/infotekmesin.v13i1.1048

Mustika et al., Data Mining dan Aplikasinya. 2021

Simanjuntak, M. S., Simangunsong, J., Matondang, A. A., Kelamin, J., Daerah, A., Sekolah, A., Tree, D., & Waktu, T. (n.d.). ANALISIS DECISION TREE PADA MENENTUKAN LULUS. 2(1), 34–42

Downloads

Published

2024-08-28

How to Cite

Nugraha, S. D. (2024). PENERAPAN MODEL KLASIFIKASI PADA KELULUSAN MAHASISWA DI UNIVERSITAS PERJUANGAN TASIKMALAYA MENGGUNAKAN ALGORITMA C4.5. Jurnal Informatika Dan Teknik Elektro Terapan, 12(3). https://doi.org/10.23960/jitet.v12i3.5265

Issue

Section

Articles