Analisis Pengaruh Media Sosial X Terhadap Sikap dan Perilaku Remaja Menggunakan K-Means Clustering
DOI:
https://doi.org/10.35870/jimik.v5i3.991Keywords:
Analysis, Influence, Social Media, Attitudes, Behavior, Teenagers, K-Means ClusteringAbstract
This research aims to analyze the influence of social media X on adolescent attitudes and behavior using the K-means clustering method. Social media has an important role in everyday life, especially among teenagers, who are vulnerable to external influences in shaping their attitudes and behavior. In this study, data was collected through a survey covering aspects such as frequency of use, type of content consumed, and social interactions on the platform. The K-means clustering method is used to group teenagers based on their patterns of social media use and the characteristics of their attitudes and behavior. The results of the analysis show that there are several clusters that indicate a significant relationship between the intensity of use of social media X and changes in teenagers' attitudes and behavior. These findings provide valuable insights for parents, educators, and policy makers in understanding the impact of social media on adolescent development and formulating strategies to mitigate its negative effects.
Downloads
References
Afrilia, M. N., Rahaningsih, N., Dana, R. D., & Nuris, N. D. (2024). OPTIMASI ANALISIS CLUSTERING UNTUK AKTIVITAS DAN RESPON PENGGUNA MEDIA SOSIAL DENGAN K-MEANS. JATI (Jurnal Mahasiswa Teknik Informatika), 8(1), 148-155. DOI: https://doi.org/10.36040/jati.v8i1.8334.
Akbar, M. A., Fatimah, F., & Jaenudin, J. (2019, October). Penerapan Data Mining Untuk Pengelompokan Posisi Pemain Sepak Bola Menggunakan Algoritma K-Means Clustering. In Seminar Nasional Teknologi Informasi (Vol. 2, pp. 278-282).
Aulia, N., Nurdiyana, N., & Hadi, S. (2022). Pengaruh Media Sosial Terhadap Perilaku Sosial Siswa. Journal of Education and Culture, 2(1), 64-70. DOI: https://doi.org/10.58707/jec.v2i1.176.
Auliya, A. A., Yahya, A. B., & Hurryos, F. K. (2023). Pengaruh Penggunaan Media Sosial Terhadap Perilaku Remaja di Indonesia. Jurnal harmoni Nusa Bangsa, 1(1), 57-66. DOI: http://dx.doi.org/10.47256/jhnb.v1i1.297.
Dhuhita, W. M. P. (2015). Clustering Menggunakan Metode K-Means Untuk Menentukan Status Gizi Balita. Jurnal Informatika, 15(2), 160-174.
Dikarya, F., & Muharni, S. (2022). Penerapan Algoritma K-Means Clustering Untuk Pengelompokan Universitas Terbaik Di Dunia. Jurnal Informatika, 22(2), 124-131. DOI: https://doi.org/10.30873/ji.v22i2.3324.
Gustientiedina, G., Adiya, M. H., & Desnelita, Y. (2019). Penerapan Algoritma K-Means Untuk Clustering Data Obat-Obatan. Jurnal Nasional Teknologi Dan Sistem Informasi, 5(1), 17-24. DOI: https://doi.org/10.25077/TEKNOSI.v5i1.2019.17-24.
Maulana, R., Gibran, I., & Fitriati, D. (2018). Clustering Kegiatan Pengguna pada Media Sosial dengan Algoritma Simple K-Means. PROSIDING SEINASI-KESI, 1(1), 174-179.
Mustofa, M. (2019). Penerapan Algoritma K-Means Clustering pada Karakter Permainan Multiplayer Online Battle Arena. Jurnal Informatika, 6(2), 246-254. DOI: https://doi.org/10.31294/ji.v6i2.6096.
Normah, N., Nurajizah, S., & Salbinda, A. (2021). Penerapan data mining metode k-means clustering untuk analisa penjualan pada toko fashion hijab Banten. Jurnal Khatulistiwa Informatika, 7(2), 158-163.
Prasetyo, E., Priyatama, A. S., & Setyatama, F. (2023). Constellation of Football Players Determination Based on Cost and Performance History Using the K-Means Clustering. Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 14(2), 194-205. DOI: https://doi.org/10.31849/digitalzone.v14i2.17106.
Priyatman, H., Sajid, F., & Haldivany, D. (2019). Klasterisasi Menggunakan Algoritma K-Means Clustering untuk Memprediksi Waktu Kelulusan Mahasiswa. Jurnal Edukasi Dan Penelitian Informatika (JEPIN), 5(1), 62.
Putriana, P., Suarna, N., & Prihartono, W. (2023). Analisis Clustering Prestasi Atlet Pada Berbagai Cabang Olahraga Menggunakan Algoritma K-Means. JATI (Jurnal Mahasiswa Teknik Informatika), 7(6), 3435-3442. DOI: https://doi.org/10.36040/jati.v7i6.8211.
Rahayu, F. S., Kristiani, L., & Wersemetawar, S. F. (2019). Dampak Media Sosial terhadap Perilaku Sosial Remaja di Kabupaten Sleman, Yogyakarta. In Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) (Vol. 3, No. 1, pp. 039-046).
Sulastri, S., & Diartono, D. A. (2019). Analisa Jejaring Sosial Twitter Menggunakan Klastering K-Means dan Hirarki Agglomeratif.
Wijaya, A. Z., & Sembiring, I. (2024). ANALISIS PERILAKU PENGGUNA INTERNET DENGAN METODE K-MEANS CLUSTERING DAN PENDEKATAN DAVIES BOULDIN INDEX MENGGUNAKAN DATA LOG UNIVERSITAS XYZ. JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), 9(2), 878-888. DOI: https://doi.org/10.29100/jipi.v9i2.4750.
Amalina, T., Pramana, D. B. A., & Sari, B. N. (2022). Metode K-Means Clustering Dalam Pengelompokan Penjualan Produk Frozen Food. Jurnal Ilmiah Wahana Pendidikan, 8(15), 574-583. DOI: https://doi.org/10.5281/zenodo.7052276.
Cholid, I., & Petrus, J. (2022). Penerapan Algoritma K-Means Clustering untuk Pengelompokan UMKM Menggunakan Rapidminer. Jurnal Penelitian Ilmu dan Teknologi Komputer, 14(1), 441742.
Dinata, R. K., Safwandi, S., Hasdyna, N., & Azizah, N. (2020). Analisis k-means clustering pada data sepeda motor. INFORMAL: Informatics Journal, 5(1), 10-17. DOI: https://doi.org/10.19184/isj.v5i1.17071.
Fadilla, R., Andarsyah, R., Awangga, R. M., & Habibi, R. (2020). Data analytics: peningkatan performa algoritma rekomendasi collaborative filtering menggunakan K-means clustering. Kreatif.
Prianto, C., & Bunyamin, S. (2020). Pembuatan aplikasi clustering gangguan jaringan menggunakan metode K-Means Clustering (Vol. 1). Kreatif.
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 (CC-BY 4.0) 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.
License: All articles are licensed under 
