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Journal : journal of informatics management and information technology

Implementasi Data Mining Dalam Pengelompokan Perilaku Penggunaan Media Sosial Siswa SMA Menerapkan Algoritma K-Means Utari, Utari; Iqbal, Muhammad
Journal of Informatics Management and Information Technology Vol. 6 No. 1 (2026): January 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v6i1.959

Abstract

The development of information and communication technology has encouraged the increasing use of social media among teenagers, especially high school students (SMA). Social media is not only used as a means of communication and entertainment, but also has the potential to influence students' learning behavior. Excessive use can reduce concentration and learning effectiveness, so analysis is needed to systematically identify patterns of social media usage behavior. This study aims to group the social media usage behavior of high school students using the K-Means Clustering algorithm. Data were obtained through a closed questionnaire with a numerical scale that includes three variables, namely the frequency of social media use, duration of use, and the number of social media platforms used. A total of 20 sample data were used to illustrate the calculation process. The analysis stages include data normalization using the Min-Max method, determining the number of clusters as many as three clusters (K = 3), calculating distances using Euclidean Distance, and iteratively updating the entroids. Based on the results of the K-Means algorithm calculations until reaching a convergent condition, the social media usage behavior of high school students was successfully grouped into three clusters, namely low usage with centroids (3.50; 1.25; 2.75), moderate usage with centroids (7.25; 3.25; 5.88), and high usage with centroids (12.25; 5.75; 8.88). These results indicate that the K-Means algorithm is effective in grouping students' social media usage behavior based on differences in access frequency, duration of use, and level of social media interaction.
Co-Authors ', Khairunnisa Ahmad Saifudin, Ahmad Anggreni, Milka Arini Vika Sari Artono Dwijo Sutomo Artono Dwijo Sutomo Astuti, Retno Puji Azizul Khakim Azizul Khakim, Azizul Bahrun, Suriani Belangi, Siska Putri Bibit Cahyani Budi Legowo Budi Purnama Candra Tirta Putra Dian Afif Rusydan Dina Sukma Dwi Teguh Rahardjo Eko Prastyo Ellanda Purwawijaya Elly Fatmawati Fajar Arianto Fatmawati, Elly Fonita, Elvira Freditia Fuad Anwar, Fuad Hanafi Eko Prasetyo Hasmar, Wanti Hayati, Widia Ismail Ismail Kamsul Abraha Kamsul Abraha Khairunnisa Khairunnisa Kristina Maharani Kusumandari, Kusumandari Listina, Osie Lizawati Lizawati Lonik, Lorensius Luqman Satria Pradana Mohtar Yunianto Mohtar Yunianto, Mohtar Mudasir Mudasir Muhammad Amin Muhammad Asyura Muhammad Iqbal Muhammad Syahputra Novelan Muhtarom Muhtarom Mujahidin Mujahidin Mukriani, Mukriani Musadewi, Adiana Musilawati, Fida Ayu nafisatuzzahro' nafisatuzzahro' nafisatuzzahro' Nainggolan, Nurcahaya Nining Hargiani Novianty, Natasha Nur Wahyuni Nuryani Nuryani Oki Dewi Pamungkas Oktavianto, Eka Prasetya, Nurdiyantoro Putra PUTU LUSITA NATI INDRIANI Rahmawati, Ramadona Rambe, Siska Mayasari Ricda Nurhikmayanti Hamzah Riyatun Riyatun Riyatun Riyatun Riyatun, Riyatun Rizki Yulia Purwitaningtyas, Rizki Yulia Sahalessy, Yona C. Saputra Junaidi, Adi SARI, DIAN NUR ADKHANA Sihotang, Minora Sihotang, Togarman Simanullang, Rahma Yuni Siti Juwariyah Soraya, Syazarah Sri Budiawanti Sudirman Suharno Suharno Suharno Suharno Suharyana Suharyana Suharyana Suharyana Sulistiyana, Defi Suryati Suryati SyahPutri, Chairani Syahri, Rahma Tambunan, Maha Valne Datin Mahfujah Timiyatun, Endar Ula, Zumrotul Vina Oktaria Wanny, Puspita Wati Wati Widiarini, Widiarini Wiji Lestari Yeni Herlina K. Dasi Yermi, Yermi Yofentina Iriani Yuni Wulandari Yunita Suriani Suardi