Penerapan Algoritma C4.5 Dalam Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Program Studi
- Joko Saputro Universitas Bung Karno, Jakarta, Indonesia
-
Asruddin Asruddin
*
Universitas Bung Karno, Jakarta,
Indonesia
- Alexius Ulan Bani Universitas Bung Karno, Jakarta, Indonesia
- Mesran Mesran Universitas Budi Darma, Medan, Indonesia (*) Corresponding Author
Abstract
In an effort to improve the quality of one's work, an assessment can be carried out. Because with the assessment, an evaluation of the level of quality of a person's work can be carried out. At a university there are many study programs. Where one of the study programs at the university is the informatics engineering study program. In carrying out their duties and responsibilities, the campus makes efforts to improve the quality of work, the leadership evaluates by evaluating the quality of work of the staff at the university. In measuring the quality of work of the staff working in the Study Program, the leadership conducts an assessment of the study program. In conducting the assessment by measuring the level of student satisfaction with the Study Program. Based on this study, it was concluded that PUAS students towards the services of the Study Program.
Downloads
References
D. Adhar, “Sistem Pendukung Keputusan Pengangkatan Jabatan Karyawan pada PT . Ayn dengan Metode Profile Matching,” J. Tek. Inform. dan Sist. Inf., vol. 1, no. 1, pp. 16–29, 2014.
R. Rusliyawati, D. Damayanti, and S. N. Prawira, “Implementasi Metode Saw Dalam Sistem Pendukung Keputusan Pemilihan Model Social Customer Relationship Management,” Edutic - Sci. J. Informatics Educ., vol. 7, no. 1, pp. 12–19, 2020, doi: 10.21107/edutic.v7i1.8571.
A. P. Giovani, A. Ardiansyah, T. Haryanti, L. Kurniawati, and W. Gata, “Analisis Sentimen Aplikasi Ruang Guru Di Twitter Menggunakan Algoritma Klasifikasi,” J. Teknoinfo, vol. 14, no. 2, pp. 115–123, 2020.
F. Panjaitan, A. Surahman, and T. D. Rosmalasari, “Analisis Market Basket Dengan Algoritma Hash-Based Pada Transaksi Penjualan (Studi Kasus: Tb. Menara),” J. Teknol. dan Sist. Inf., vol. 1, no. 2, pp. 111–119, 2020, [Online]. Available: http://jim.teknokrat.ac.id/index.php/JTSI.
N. Silalahi, “Penentuan Strategi Promosi Universitas Budi Darma Menggunakan Algoritma K-Means Clustering,” TIN Terap. Inform. Nusant., vol. 1, no. 1, pp. 40–46, 2020.
A. Nurzahputra, M. A. Muslim, and M. Khusniati, “Penerapan Algoritma K-Means Untuk Clustering Penilaian Dosen Berdasarkan Indeks Kepuasan Mahasiswa,” Techno.Com, vol. 16, no. 1, pp. 17–24, 2017, doi: 10.33633/tc.v16i1.1284.
S. I. Nurhafida and F. Sembiring, “ANALISIS TEXT CLUSTERING MASYARAKAT DI TWITER MENGENAI MCDONALD ’ SXBTS MENGGUNAKAN ORANGE DATA MINING,” pp. 28–35, 2021.
E. Irdiansyah, “Penerapan Data Mining Pada Penjualan Produk Minuman Di Pt . Pepsi Cola Indobeverages Menggunakan Metode,” J. TA/SKRIPSI, vol., no., pp. 1–6, 2017.
H. Widayu, S. D. Nasution, N. Silalahi, and M. Mesran, “data mining untuk memprediksi jenis transaksi nasabah pada koperasi simpan pinjam dengan algoritma C4. 5,” J. Media Inform. Budidarma, vol. 1, no. 2, 2017.
Y. I. Kurniawan, “Perbandingan Algoritma Naive Bayes dan C. 45 Dalam Klasifikasi Data Mining,” J. Teknol. Inf. dan Ilmu Komput., vol. 5, no. 4, pp. 455–464, 2018.
W. D. Septiani, “Komparasi Metode Klasifikasi Data Mining Algoritma C4. 5 Dan Naive Bayes Untuk Prediksi Penyakit Hepatitis,” J. Pilar Nusa Mandiri, vol. 13, no. 1, pp. 76–84, 2017.
S. U. Putri, E. Irawan, and F. Rizky, “Implementasi Data Mining Untuk Prediksi Penyakit Diabetes Dengan Algoritma C4. 5,” Kesatria J. Penerapan Sist. Inf. (Komputer dan Manajemen), vol. 2, no. 1, pp. 39–46, 2021.
E. P. Cynthia and E. Ismanto, “Metode Decision Tree Algoritma C. 45 Dalam Mengklasifikasi Data Penjualan Bisnis Gerai Makanan Cepat Saji,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 3, pp. 1–13, 2018.
A. F. Lestari and M. Hafiz, “Penerapan Algoritma Apriori Pada Data Penjualan Barbar Warehouse,” INOVTEK Polbeng - Seri Inform., vol. 5, no. 1, p. 96, 2020, doi: 10.35314/isi.v5i1.1317.
R. Yanto and H. Di Kesuma, “Pemanfaatan Data Mining Untuk Penempatan Buku Di Perpustakaan Menggunakan Metode Association Rule,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 4, no. 1, pp. 1–10, 2017, doi: 10.35957/jatisi.v4i1.83.
U. Buana and P. Karawang, “TechnoXplore Jurnal Ilmu Komputer & Teknologi Informasi ISSN : 2503-054X Vol 4 No: 1, April 2019,” vol. 4, no. 1, pp. 46–55, 2019.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Algoritma C4.5 Dalam Mengukur Tingkat Kepuasan Mahasiswa Terhadap Pelayanan Program Studi
Pages: 196-202
Copyright (c) 2022 Joko Saputro, Asruddin Asruddin, Alexius Ulan Bani, Mesran Mesran
This work is licensed under a Creative Commons Attribution 4.0 International 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 Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment 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 acknowledgment 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 (Refer to The Effect of Open Access).
