IMPLEMENTATION OF K-MEANS ALGORITHM AS A CLUSTERING METHOD FOR SELECTING ACHIEVEMENT STUDENTS BASED ON ACADEMIC GRADE
Keywords:
K-Mean Method, Clustering, Siswa Berprestasi
Abstract
Increased student success and low student failure rates are a reflection of good quality in the field of education. Awareness of the importance of education determines the quality in utilizing existing resources, including human resources, facilities and infrastructure as well as technological resources. The large number of students in school as well as the variety of different abilities and academic qualifications for each student, makes it difficult for the school to facilitate the search for outstanding student selection based on academic scores. Therefore it is necessary to do the data to be processed into information and knowledge as a grouping of outstanding students from assignment scores, test scores, and student practice scores as variables that will be supporting values in the selection of outstanding students. Data mining can be proposed as an approach that can be used to predict the selection of outstanding students. In this study, the application of the kmeans clustering algorithm is proposed to predict the selection of outstanding students based on academic scores.
Downloads
Download data is not yet available.
References
Dewantara, K. H. (1961). Karya Ki Hajar Dewantara bab I: Pendidikan. Jakarta: Majelis Luhur Taman Siswa.
Dodi, N. (2016). Pentingnya Guru Untuk Mempelajari Psikologi Pendidikan. Nusantara ( Jurnal Ilmu Pengetahuan Sosial ) Volume 1 Desember 2016, 1, 59–63.
Irawan, Y. (2017). Sistem Pendukung Keputusan Untuk Penilaian Prestasi Belajar Siswa pada Sekolah Dasar Negeri 167 Pekanbaru dengan Metode AHP. Jurnal Ilmu Komputer, 6, 3–8.
Isnaini, M., Kusuma, D., & Noviani, L. (2015). PENGARUH KOMPETENSI DOSEN DAN FASILITAS BELAJAR TERHADAP KEPUASAN MAHASISWA PENDIDIKAN EKONOMI FKIP UNS. BISE: Jurnal Pendidikan Bisnis Dan Ekonomi, 1(2), 1–20. https://doi.org/10.20961/BISE.V1I2.17968
Metisen, B. M., & Sari, H. L. (2015). Analisis clustering menggunakan metode K-Means dalam pengelompokkan penjualan produk pada Swalayan Fadhila. Jurnal Media Infotama, 11(2), 110–118.
Ningrum, E. (2009). PENGEMBANGAN SOURCE DAYA MANUSIA BIDANG PENDIDIKAN. Jurnal Geografi GEA, 9(1), 1–9. Retrieved from https://ejournal.upi.edu/index.php/gea/article/view/1681/
Nirmala, I. D., & Atika, P. D. (2020). Laporan Akhir Hibah Penelitian: Penerapan Algoritma K-Means Sebagai Metode Clustering Untuk Pemilihan Siswa Berprestasi Berdasarkan Nilai Akademik. Jakarta.
Ratih, S., & Sonalitha Elta. (2018). Aplikasi k-means clustering untuk pengelompokkan siswa ke dalam kelas berdasarkan nilai akademis, jenis kelamin, perilaku dan nama siswa di sma negeri 1 srengat. Seminar Nasional Sistem Informasi, 1179–1187.
Rezky, M. P., Sutarto, J., Prihatin, T., Yulianto, A., & Haidar, I. (2020). Generasi Milenial yang Siap Menghadapi Era Revolusi Digital (Society 5.0 dan Revolusi Industri 4.0) di Bidang Pendidikan Melalui Pengembangan Source Daya Manusia. Seminar Nasional Pascasarjana (Prosnampas) 2019, 1117–1125. Semarang: Universitas Negeri Semarang. Retrieved from https://proceeding.unnes.ac.id/index.php/snpasca/article/view/424
Sibuea, M. L., & Safta, A. (2017). Pemetaan Siswa Berprestasi Menggunakan Metode K-Means Clustring. Jurteksi, 4(1), 85–92. https://doi.org/10.33330/jurteksi.v4i1.28
Published
2020-09-15
How to Cite
Nirmala, I., & Atika, P. (2020). IMPLEMENTATION OF K-MEANS ALGORITHM AS A CLUSTERING METHOD FOR SELECTING ACHIEVEMENT STUDENTS BASED ON ACADEMIC GRADE. Jurnal Pilar Nusa Mandiri, 16(2), 199-204. https://doi.org/10.33480/pilar.v16i2.1575
Article Metrics
Abstract viewed = 56 times
PDF downloaded = 46 times
Abstract viewed = 56 times
PDF downloaded = 46 times
Section
Articles
Copyright (c) 2020 Indah Dwijayanthi Nirmala, Prima Dina Atika
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The Authors submitting a manuscript do so on the understanding that if accepted for publication, copyright of the article shall be assigned to the PILAR Nusa Mandiri journal as the publisher of the journal, and the author also holds the copyright without restriction.
Copyright encompasses exclusive rights to reproduce and deliver the article in all form and media, including reprints, photographs, microfilms, and any other similar reproductions, as well as translations. The reproduction of any part of this journal, its storage in databases, and its transmission by any form or media, such as electronic, electrostatic and mechanical copies, photocopies, recordings, magnetic media, etc. , are allowed with written permission from the PILAR Nusa Mandiri journal.
PILAR Nusa Mandiri journal, the Editors and the Advisory International Editorial Board make every effort to ensure that no wrong or misleading data, opinions, or statements be published in the journal. In any way, the contents of the articles and advertisements published in the PILAR Nusa Mandiri journal are the sole and exclusive responsibility of their respective authors and advertisers.
