Stream Clustering for Selection Recommendations Using K-Means Algorithm: A Case Study in the Informatics Study Program
Abstract
Concentration Stream for a major is a process where students focus their attention on a specific discipline according to their interests. The purpose of specialization is to better orient students to the knowledge they have gained from previous courses, so that they can have a clearer focus. In the Informatics Engineering study program at Bina Darma University there are 3 concentrations, namely: Software Engineering, Network Engineering, Data Analytics. The absence of a system that helps students choose a major concentration makes it quite difficult for students to know their academic abilities. By looking at these problems, this research aims to build a Recommendation system for selecting Mk-Stream Concentrations using the K-Means grouping approach using the K-Means cluster method. Where student academic achievement data from the first semester to the 4th semester is used as a variable in the calculations.
Downloads
References
A. Sulistiyawati and E. Supriyanto, “Implementasi Algoritma K-means Clustring dalam Penetuan Siswa Kelas Unggulan,” J. Tekno Kompak, vol. 15, no. 2, p. 25, 2021, doi: 10.33365/jtk.v15i2.1162.
R. Adrianto and A. Fahmi, “Penerapan Metode Clustering Dengan Algoritma K-Means Untuk Rekomendasi Pemilihan Jalur Peminatan Sesuai Kemampuan Pada Progam Studi Teknik Informatika - S1 Universitas Dian Nuswantoro,” JOINS (Journal Inf. Syst., vol. 1, no. 2, pp. 101–116, 2019, [Online]. Available: http://publikasi.dinus.ac.id/index.php/joins/article/view/1302
Fina Nasari and S. Surya Darma, “Penerapan K-Means Clustering Pada Data Penerimaan Mahasiswa Baru,” Semin. Nas. Teknol. Inf. dan Multimed. 2015, pp. 73–78, 2015.
M. ISTONINGTYAS, “Penentuan Jurusan ke Perguruan Tinggi Menggunakan Metode Clustering di SMAN 3 Kuala Tungkal,” J. Process., vol. 13, no. 2, 2018, [Online]. Available: http://ejournal.stikom-db.ac.id/index.php/processor/article/view/352
F. Yunita, “Penerapan Data Mining Menggunkan Algoritma K-Means Clustring Pada Penerimaan Mahasiswa Baru,” Sistemasi, vol. 7, no. 3, p. 238, 2018, doi: 10.32520/stmsi.v7i3.388.
Y. R. Sari, A. Sudewa, D. A. Lestari, and T. I. Jaya, “Penerapan Algoritma K-Means Untuk Clustering Data Kemiskinan Provinsi Banten Menggunakan Rapidminer,” CESS (Journal Comput. Eng. Syst. Sci., vol. 5, no. 2, p. 192, 2020, doi: 10.24114/cess.v5i2.18519.
K. Handoko, “Penerapan Data Mining Dalam Meningkatkan Mutu Pembelajaran Pada Instansi Perguruan Tinggi Menggunakan Metode K-Means Clustering (Studi Kasus Di Program Studi Tkj Akademi Komunitas Solok Selatan),” J. Teknol. dan Sist. Inf., vol. 02, no. 03, pp. 31–40, 2016, [Online]. Available: http://teknosi.fti.unand.id/index.php/teknosi/article/view/70
A. Situmorang, A. Arifin, I. Rusilpan, and C. Juliane, “Analisa dan Penerapan Metode Algoritma K-Means Clustering Untuk Mengidentifikasi Rekomendasi Kategori Baru Pada List Movie IMDb,” J. Media Inform. Budidarma, vol. 6, no. 4, p. 2171, 2022, doi: 10.30865/mib.v6i4.4729.
I. Mahmud, A. D. Indriyanti, and I. Lazulfa, “Penerapan Algoritma K-Means Clustering Sebagai Strategi Promosi Penerimaan Mahasiswa Baru Pada Universitas Hasyim Asy’ari Jombang,” Inovate, vol. 4, no. 2, pp. 20–27, 2020.
M. Mustofa, “Penerapan Algoritma K-Means Clustering pada Karakter Permainan Multiplayer Online Battle Arena,” J. Inform., vol. 6, no. 2, pp. 246–254, 2019, doi: 10.31311/ji.v6i2.6096.
M. Benri, H. Metisen, and S. Latipa, “Analisis Clustering Menggunakan Metode K-Means Dalam Pengelompokkan Penjualan Produk Pada Swalayan Fadhila,” J. Media Infotama, vol. 11, no. 2, pp. 110–118, 2015, [Online]. Available: https://core.ac.uk/download/pdf/287160954.pdf
M. L. Sibuea and A. Safta, “Pemetaan Siswa Berprestasi Menggunakan Metode K-Means Clustring,” Jurteksi, vol. 4, no. 1, pp. 85–92, 2017, doi: 10.33330/jurteksi.v4i1.28.
J. Hutagalung and F. Sonata, “Penerapan Metode K-Means Untuk Menganalisis Minat Nasabah,” J. Media Inform. Budidarma, vol. 5, no. 3, p. 1187, 2021, doi: 10.30865/mib.v5i3.3113.
Download PDF: 458 times
Copyright (c) 2023 Journal of Information Systems and Informatics
This work is licensed under a Creative Commons Attribution 4.0 International License.
- I certify that I have read, understand and agreed to the Journal of Information Systems and Informatics (Journal-ISI) submission guidelines, policies and submission declaration. Submission already using the provided template.
- I certify that all authors have approved the publication of this and there is no conflict of interest.
- I confirm that the manuscript is the authors' original work and the manuscript has not received prior publication and is not under consideration for publication elsewhere and has not been previously published.
- I confirm that all authors listed on the title page have contributed significantly to the work, have read the manuscript, attest to the validity and legitimacy of the data and its interpretation, and agree to its submission.
- I confirm that the paper now submitted is not copied or plagiarized version of some other published work.
- I declare that I shall not submit the paper for publication in any other Journal or Magazine till the decision is made by journal editors.
- If the paper is finally accepted by the journal for publication, I confirm that I will either publish the paper immediately or withdraw it according to withdrawal policies
- I Agree that the paper published by this journal, I transfer copyright or assign exclusive rights to the publisher (including commercial rights)