Penerapan Klasifikasi Algoritma C4.5 Dan Algoritma C5.0 Untuk Mengetahui Tingkat Kepuasan Mahasiswa Terhadap Website Sistem Informasi Terpadu Layanan Program Studi (SIPLO)

 Nurfitrayani Nurfitrayani (Universitas Mulawarman, Samarinda, Indonesia)
 (*)Islamiyah Islamiyah Mail (Universitas Mulawarman, Samarinda, Indonesia)
 Amin Padmo Azam Masa (Universitas Mulawarman, Samarinda, Indonesia)

(*) Corresponding Author

Submitted: June 23, 2023; Published: October 24, 2023

Abstract

Integrated Information System for Study Program Services (SIPLO) is a website-based information system for academic services at the study program level, specifically designed for the Information Systems Study Program at Mulawarman University. Despite containing information that supports lectures, SIPLO's features and information have not met students' satisfaction, as indicated by data collected through interviews. Therefore, the objective of this study was to determine the level of student satisfaction with the SIPLO website.This study employed a data mining technique using the classification methods of the C4.5 algorithm and the C5.0 algorithm. The PIECES indicators, which include performance, information, economy, control, efficiency, and service, were used as attributes in the data mining application. The data utilized in the study consisted of questionnaires distributed to 182 students from the Information Systems Study Program at Mulawarman University in 2019, 2020, and 2021. The data was divided into a 80% training data and a 20% test data ratio. The research findings using the C4.5 algorithm revealed that the variables influencing student satisfaction are performance, control, information, efficiency, and service. Meanwhile, the C5.0 algorithm identified control, performance, efficiency, information, and service as the influential variables. Both algorithms yielded an accuracy value of 91.89%, precision value of 93.75%, recall value of 96.77%, F1-Score value of 95.24%, and an AUC value of 0.8172. These results indicate a good classification performance. 

Keywords


Classification; Algorithm C4.5; Algorithm C5.0; User Satisfaction; SIPLO

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References

D. A. R. Saragih, M. Safii, and D. Suhendro, “Penerapan Data Mining Klasifikasi Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Sistem Informasi di Program Studi Sistem Informasi,” J. Inf. Syst. Res., vol. 2, no. 2, pp. 173–177, 2021.

A. Triayudi, “Penerapan Algoritma C5 . 0 Data Mining Untuk Mengetahui Pola Kepuasan Mahasiswa Terhadap Pelayanan Akademik,” J. Media Inform. Budidarma, vol. 6, pp. 2361–2366, 2022, doi: 10.30865/mib.v6i4.4961.

A. Anwardi, A. Ramadona, M. Hartati, T. Nurainun, and E. G. Permata, “Analisis PIECES dan Pengaruh Perancangan Website Fikri Karya Gemilang Terhadap Promosi Menggunakan Metode Waterfall,” J. Rekayasa Sist. Ind., vol. 7, no. 1, p. 57, 2020, [Online]. Available: https://jrsi.sie.telkomuniversity.ac.id/JRSI/article/view/380

N. Benediktus and R. S. Oetama, “Algoritma Klasifikasi Decision Tree C5 . 0 untuk Memprediksi Performa Akademik Siswa,” Ultimatics, vol. XII, no. 1, pp. 14–19, 2020.

K. Aidi Saputra, J. Tata Hardinata, M. Ridwan Lubis, S. Retno Andani, and I. Syahputra Saragih, “Klasifikasi Algoritma C4.5 Dalam Penerapan Tingkat Kepuasan Siswa Terhadap Media Pembelajaran Online,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 1, no. 3, pp. 113–118, 2020, [Online]. Available: https://djournals.com/klik

S. C. Bilqisth and F. Amalia, “Analisis Kepuasan Mahasiswa UIN Semarang Terhadap E-Learning Menggunakan Algoritma C.45,” J. Inform. Upgris, vol. 8, no. 1, 2022, doi: 10.26877/jiu.v8i1.11588.

Suherman, D. Maulana, and V. Mustikaningtyas, “Penerapan Data Mining Untuk Klasifikasi Kepuasan Pelanggan Transportasi Online ( Ojek Online ) Menggunakan Algoritma C . 4 . 5,” Pros. SAINTEK Sains dan Teknol., vol. 1, no. 1, pp. 165–175, 2022.

A. Apriyadi, M. R. Lubis, and B. E. Damanik, “Penerapan Algoritma C5.0 Dalam Menentukan Tingkat Pemahaman Mahasiswa Terhadap Pembelajaran Daring,” Komputa J. Ilm. Komput. dan Inform., vol. 11, no. 1, pp. 11–20, 2022, doi: 10.34010/komputa.v11i1.7386.

D. J. Purba, R. M. Lubis, and Z. A. Siregar, “Analisis Kepuasan Pelanggan Menggunakan Algoritma C5.0,” J. Informatics Manag. Inf. Technol., vol. 2, no. 2, pp. 54–59, Jun. 2022, [Online]. Available: https://hostjournals.com/jimat

Z. Gustiana, “Penerapan Algoritma C 4.5 Dalam Sistem Pendukung Keputusan Evaluasi Kinerja Fasilitator Pamsimas (Studi Kasus Di Kabupaten Kampar),” Djtechno J. Teknol. Inf., vol. 1, no. 1, pp. 20–28, 2021, doi: 10.46576/djtechno.v1i1.967.

F. Riandari and A. Simangunsong, “Penerapan Algoritma C4.5 Untuk Mengukur Tingkat Kepuasan Mahasiswa,” Pap. Knowl. . Towar. a Media Hist. Doc., vol. 5, no. 2, pp. 40–51, 2019.

M. Azis Hidayatuloh, K. Paranita Kartika, and D. Fanny Hebrasianto Permadi, “Implementasi Algoritma C4.5 Untuk Memprediksi Capaian Pembelajaran Daring (Studi Kasus Siswa MAN 3 Blitar),” J. Algoritm., vol. 3, no. 1, pp. 33–47, 2022.

R. Harman, “Penerapan Algoritma C.45 Untuk Memprediksi Indikator Website Yang Baik,” J. Ilm. Inform., vol. 06, no. 02, pp. 54–59, 2018, [Online]. Available: http://ejournal.upbatam.ac.id/index.php/jif Penerapan

K. S. H. K. Al Atros, A. Robi Padri, O. Nurdiawan, A. Faqih, and S. Anwar, “Model Klasifikasi Analisis Kepuasan Pengguna Perpustakaan Online Menggunakan K-Means dan Decission Tree,” JURIKOM (Jurnal Ris. Komputer), vol. 8, no. 6, pp. 323–329, 2021, doi: 10.30865/jurikom.v8i6.3680.

R. Pratiwi, M. N. Hayati, and S. Prangga, “Perbandingan Klasifikasi Algoritma C5.0 Dengan Classification and Regression Tree (Studi Kasus : Data Sosial Kepala Keluarga Masyarakat Desa Teluk Baru Kecamatan Muara Ancalong Tahun 2019),” BAREKENG J. Ilmu Mat. dan Terap., vol. 14, no. 2, pp. 273–284, 2020, doi: 10.30598/barekengvol14iss2pp273-284.

P. B. N. Setio, D. R. S. Saputro, and Bowo Winarno, “Klasifikasi Dengan Pohon Keputusan Berbasis Algoritme C4.5,” Prism. Pros. Semin. Nas. Mat., vol. 3, pp. 64–71, 2020.

Karsito and S. Susanti, “Klasifikasi Kelayakan Peserta Pengajuan Kredit Rumah Dengan Algoritma Naïve Bayes Di Perumahan Azzura Residencia,” J. Teknol. Pelita Bangsa, vol. 9, pp. 43–48, 2019.

E. Erlin, Y. Desnelita, N. Nasution, L. Suryati, and F. Zoromi, “Dampak SMOTE terhadap Kinerja Random Forest Classifier berdasarkan Data Tidak seimbang,” MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 21, no. 3, pp. 677–690, 2022, doi: 10.30812/matrik.v21i3.1726.

N. Frastian, “Implementasi Komparasi Algoritma Klasifikasi Menentukan Kelulusan Mata Kuliah Algoritma Universitas Budi Luhur,” STRING (Satuan Tulisan Ris. dan Inov. Teknol., vol. 3, no. 1, p. 1, 2018, doi: 10.30998/string.v3i1.2334.

N. F. Muhidin, D. Gustian, and S. Sihabudin, “Analisis dan Penerapan Algoritma C4.5 Untuk Memprediksi Kualitas Penelitian dan Publikasi Ilmiah,” J. Media Inform. Budidarma, vol. 6, no. 4, p. 2454, 2022, doi: 10.30865/mib.v6i4.4463.

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