Prediksi Kepuasan Mahasiswa dengan Menggunakan Algoritma C4.5 terhadap Pelayanan Akademik
DOI:
https://doi.org/10.26623/transformatika.v18i2.2692Keywords:
Satisfaction, Student, Decision Tree, C4.5Abstract
Prediction of student satisfaction with academic services needs to be done to evaluate the performance of higher education institutions in the academic field, especially at Pandanaran University. In this study, using the Decision Tree C4.5 algorithm data mining method in classifying student data through a questionnaire on aspects of tangible, reliability, assurance, responsiveness and empathy. The results of classifying student data using the Decision Tree C4.5 algorithm produce a decision tree model with an accuracy value of 87.92% and AUC 0.990.
References
Oktafianto, 2016, Analisis Kepuasan Mahasiswa Terhadap Pelayanan Akadmik Menggunakan Metode Algoritma C4.5, Jurnal TIM Darmajaya, vol 02, no.01 hal 1-11.
Budi Prijanto, Agustin Rusiana Sari, 2011, Analisis Tingkat Kepuasan Mahasiswa atas Layanan Akademik Berbasis Web, Prosiding Konferensi Nasional Sistem Informasi, Medan 25-26 Februari 2011
Budi Santoso, 2007, Data Mining Teknik Pemanfaatan Data Untuk Keperluan Bisnis, Graha Ilmu, Yogyakarta.
Eko Prasetyo, 2014, Data Mining Mengolah Data Menjadi Informasi Menggunakan Matlab, Penerbit Andi, Yogyakarta.
Suyanto, 2019, Data Mining Untuk Klasifikasi dan Klasterisasi Data Edisi Revisi, Informatika, Bandung.
Joko Suntoro, 2019, Data Mining Algoritma dan Implementasi dengan Pemrograman PHP, Elex Media Komputindo, Jakarta.
Retno Tri Vulandari, 2017, Data Mining Teori dan Aplikasi Rapidminer, Gava Media, Yogyakarta.
Sugiyono, 2002, Statistia Untuk Penelitian, Alfabeta, Bandung
Witten, 2007, Data Mining Complications: Overfitting Statistical modeling one atribut does all the work, Margan Kaufmann Publisher, Burlington.
Gorunnesco, 2011, Data mining: concepts, model and techques, Springer, Berlin.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Transformatika is licensed under a Creative Commons Attribution 4.0 International License.
