Analisis Algoritma K-Means Clustering Dalam Pengelompokan Prestasi Belajar Siswa Menengah Atas (SMA)
DOI:
https://doi.org/10.47065/bulletincsr.v5i5.751Keywords:
Data Mining; K-Means Clustering; Social Media Use; Learning Achievement; Senior High School StudentsAbstract
The increased use of social media among high school students has a positive and negative impact on academic achievement. This can be seen from changes in learning patterns, concentration levels, and students' motivation in participating in learning activities. This study aims to classify student learning achievement based on the level of social media use using the K-Means Clustering algorithm. K-Means Clustering is one of the main methods in data mining. which is a technique of grouping data based on the similarity of its characteristics. The parameters used in analyzing this study are Social Media Duration (X1), Active Time (X2), Main Platform (X3), Main Goal (X4), Social Media Access Time While Learning (X5), Social Media Addiction (X6), Social Media Addiction Level (X7), Number of Study Groups (X8) and Academic Average (X9). Based on the K-Means Clustering method, it has been proven to be able to group students based on the level of social media use. These results can be seen from the cluster category C0 (High) with 46 students, C1 (medium) with 80 students, and C2 (Low) with 72 students. The contribution of this research benefits students by helping them understand the relationship between social media usage habits and learning achievement, so as to encourage more effective time management.
Downloads
References
D. Fitriah dan K. Khotimah, “Pengembangan Media Pembelajaran Kreatif Dan Interaktif Melalui Teknologi Informasi dan Komunikasi ( TIK ) Dalam Pendidikan,” IHSAN J. Pendidik. Islam, vol. 3, hal. 1–8, 2025, doi: https://doi.org/10.61104/ihsan.v3i1.433.
E. S. Nomleni, P. A. Waluwandja, dan Y. Taebenu, “Dampak Penggunaan Media Sosial ( Whatsapp ) Terhadap Karakter Siswa Kelas VIII-I di SMP Negeri 1 Kota Kupang,” vol. 8, no. 2, hal. 105–113, 2025, doi: https://doi.org/10.70942/ciencias.v8i2.575.
R. Anisa dan T. Nurhayati, “Dampak Penggunaan Media Sosial terhadap Perilaku Remaja,” J. Psikol. Pendidik. dan Konseling, vol. 9, no. 1, hal. 25–34, 2023, doi: https://doi.org/10.31004/jpion.v4i3.603.
T. Lasmana dan A. Khoiriyati, “Analisis Dampak Pengguna Sosial Media Terhadap Produktivitas Akademik Mahasiswa,” J. Publ. Ilmu Manaj., vol. 4, no. 1, hal. 01–12, 2025, doi: https://doi.org/10.55606/jupiman.v4i1.4828.
L. A. A. D. A.?; S. Bahri, “Penggunaan media sosial sebagai,” vol. 2, no. April, hal. 15–22, 2025.
D. Alsri Windra Doni, Aprizal Ponda, “Jurnal Pengabdian Masyarakat Cendikia Jenius,” J. Pengabdi. Masy. Cendikia Jenius, vol. 2, hal. 24–35, 2025, doi: https://doi.org/10.70920/pengabmaskes.v2i2.89.
S. farid Raihan, “Analisis Pengaruh Media Sosial X Terhadap Sikap dan,” J. Indones. Manaj. Inform. dan Komun., vol. 5, no. 3, hal. 3138–3146, 2024, doi: https://doi.org/10.35870/jimik.v5i3.991.
M. Nur Afrilia, N. Rahaningsih, R. Danar Dana, dan N. Dienwati Nuris, “Optimasi Analisis Clustering Untuk Aktivitas Dan Respon Pengguna Media Sosial Dengan K-Means,” JATI (Jurnal Mhs. Tek. Inform., vol. 8, no. 1, hal. 148–155, 2024, doi: 10.36040/jati.v8i1.8334.
S. Krisdianto Sitanggang, F. Rakhmat Umbara, dan H. Ashaury, “Klasifikasi Video Pada Media Sosial Youtube Dengan Menggunakan Metode K-Means Dan Support Vector Machine,” J. Locus Penelit. dan Pengabdi., vol. 2, no. 10, hal. 1027–1032, 2023, doi: 10.58344/locus.v2i10.1732.
N. Suarna, N. Rahaningsih, dan A. A. Suarna, “Optimalisasi Prestasi Akademik Siswa Melalui Pengelompokan Indeks Prestasi Dengan K-Means Clustering,” J. Kecerdasan Buatan dan Teknol. Inf., vol. 4, no. 2, hal. 198–207, 2025, doi: 10.69916/jkbti.v4i2.321.
D. Prasetyawan dan R. Gatra, “Analisis Cluster untuk Pengelompokan Kemampuan Penguasaan ICT Menggunakan K-Means dan Autoencoder,” JISKA (Jurnal Inform. Sunan Kalijaga), vol. 10, no. 2, hal. 145–157, 2025, doi: 10.14421/jiska.2025.10.2.145-157.
D. Helmi Saputra, Rivaldo Aldino Uneputty, “Analisis Pola Kegiatan Belajar Mahasiswa Terhadap Keberhasilan Akademik Menggunakan Algoritma Apriori,” J. sains Inform. Terap. ( JSIT ), vol. 2, no. 1, hal. 16–20, 2023, doi: https://doi.org/10.62357/jsit.v4i2.567.
W. I. Permatasari dan V. Tundjungsari, “Implementasi Algoritma K-Means untuk Mengetahui Minat Siswa SMA Terhadap Mata Pelajaran Teknologi Informasi dan Komunikasi,” MALCOM Indones. J. Mach. Learn. Comput. Sci., vol. 5, no. 1, hal. 168–174, 2024, doi: 10.57152/malcom.v5i1.1639.
N. Hendrastuty, “Penerapan Data Mining Menggunakan Algoritma K-Means Clustering Dalam Evaluasi Hasil Pembelajaran Siswa,” J. Ilm. Inform. dan Ilmu Komput., vol. 3, no. 1, hal. 46–56, 2024, doi: 10.58602/jima-ilkom.v3i1.26.
N. A. Y. -, L. E. B. -, G. C. H. R. -, M. F. Z. -, A. -, dan F. R. -, “Analisis Perbandingan K-Means Dan Dbscan Dalam Pengelompokan Data Travel Review Ratings Menggunakan Evaluasi Silhouette Index Dan Davies-Bouldin Index,” J. Inform. dan Tek. Elektro Terap., vol. 13, no. 3, 2025, doi: 10.23960/jitet.v13i3.6884.
S. S. Putro, M. Syarief, dan E. M. S. Rochman, “Penerapan Algoritma K-Means, Dbscan, Dan Ahc Untuk Clustering Kualitas Garam Pada Pt. Garam (Persero),” Multitek Indones., vol. 18, no. 2, hal. 114–125, 2025, doi: 10.24269/mtkind.v18i2.8501.
S. F. Harianti, R. A. Dewanto, R. Rahmiati, dan A. Suharso, “PENGARUH PENGGUNAAN MEDIA SOSIAL TERHADAP PRESTASI BELAJAR SISWA SMA N 3 DEPOK,” J. Elem. Sch., vol. 6, no. 2, hal. 166–173, 2023, doi: 10.31004/jrpp.v6i1.16072.
A. B. Fatika dan S. Suyato, “Pengaruh Media Sosial Terhadap Pencapaian Prestasi Belajar Pendidikan Pancasila di SMA Muhammadiyah 1 Klaten,” Agora, vol. 13, no. 5, hal. 512–521, 2025, doi: 10.21831/agora.v13i5.23116.
I. Q. Azizah dan I. Anshori, “Pengaruh Penggunaan Tiktok Sebagai Media Sosial Terhadap Fokus Belajar Dan Produktivitas Mahasiswa,” JASIMA J. Komun. Korporasi Dan Media, vol. 6, no. 1, hal. 88–100, 2025, doi: https://doi.org/10.30872/jasima.v6i1.2425.
M. F. Akmal, M. F. N. G. Ratumbuysang, M. Hasanah, dan B. Nor, “Pengaruh Media Sosial Terhadap Motivasi Belajar Mahasiswa Pendidikan Ekonomi FKIP ULM,” J. Pendidik. Ekon., vol. 12, no. 2, hal. 168–175, 2024, doi: 10.26740/jupe.v12n2.p168-175.
N. Musdira, “Pengaruh Penggunaan Media Sosial Terhadap Prestasi Akademik Peserta Didik Di SMK Negeri 2 Gowa,” vol. 03, hal. 66–74, 2025, [Daring]. Tersedia pada: https://journal.diginus.id/index.php/JUPITER/index
C. Paramita, F. A. Rafrastara, dan C. Supriyanto, “Pemanfaatan Algoritma K-Means untuk Membuktikan Implementasi Undang-Undang Pelanggaran Hukum Korupsi di Pengadilan Negeri Banjarmasin,” J. Inform. J. Pengemb. IT, vol. 8, no. 2, hal. 149–154, 2023, doi: 10.30591/jpit.v8i2.5216.
R. M. Koretsky, “Python3,” Raspberry Pi OS Syst. Adm. with Syst. Python, vol. 8, no. 1, hal. 175–305, 2023, doi: 10.1201/b23421-3.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Analisis Algoritma K-Means Clustering Dalam Pengelompokan Prestasi Belajar Siswa Menengah Atas (SMA)
ARTICLE HISTORY
How to Cite
Issue
Section
Copyright (c) 2025 Rahmah Dila, Sarjon Defit, Syafri Arlis
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).
