Implementasi K-Modes Clustering Untuk Pengelompokan Data Bermain Game Pada Mahasiswa Ditinjau Dari Durasi Belajarnya
DOI:
https://doi.org/10.30865/klik.v4i5.1619Keywords:
Internet; Online Games; Motivation to Learn; Clustering; College StudentAbstract
The development of the internet has created a new means of entertainment, namely online games. Problems in learning motivation among students can be related to addiction to playing online games. This can be seen from students who often play games both during the lecture process and when they have finished studying. The problem with learning motivation is that there are students who experience a decline in achievement and experience problems with their personality, so this research aims to group students who play games according to the duration of playing games and the duration of studying. This research uses the K-Modes Clustering method to analyze the relationship between game addiction and learning motivation based on the duration spent playing games and studying. Data obtained through an online questionnaire survey of Muhammadiyah University of Magelang students includes information about the time students spend playing games and studying. The results of analysis on 90 student data using the k-modes clustering algorithm obtained good clustering results. The number of clusters produced was 2 clusters with cluster 1 totaling 63 members while cluster 2 had 27 members with a Cost value of 323. The results of clustering on game playing data required determining optimal clusters so this research used the Elbow method which obtained the optimal number of clusters of 6 clusters. with a cost value of 250. Apart from that, the clustering results were analyzed by looking at the distance from each cluster using the Silhouette Score whose value was 0.1531955 and the relationship between variables using a matrix obtained negative results.
Downloads
References
P. A. Yudhanto, “Perancangan Promosi Produk Edu-Games Melalui Event,”, 2010, Bandung.
H. Sama and J. Junanto, “Analisis Pengaruh Game Online Dan Motivasi Bermain Terhadap Minat Belajar Siswa Sd,” Jevon Junanto J. Ilm. Betrik, vol. 13, no. 03, pp. 348–355, 2022.
G. L. Ondang, B. J. Mokalu, and S. Y. V. I. Goni, “Dampak Game Online Terhadap Motivasi Belajar Mahasiswa Jurusan Sosiologi Fispol Unsrat,” J. holistik, vol. 13, no. 2, pp. 1–15, 2020.
V. A. Dihni, “Jumlah Gamers Indonesia Terbanyak Ketiga di Dunia Title,” databoks, 2022. https://databoks.katadata.co.id/datapublish/2022/02/16/jumlah-gamers-indonesia-terbanyak-ketiga-di-dunia
“Gaming Disorder,” World Health Organization (WHO).
A. Muhammad and E. Budianita, “Pengelompokan Tingkat Kecanduan Game Online Menggunakan Algoritma Fuzzy C-Means,” J. Nas. Komputasi dan Teknol. Inf., vol. 5, no. 4, pp. 601–610, 2022, doi: 10.32672/jnkti.v5i4.4511.
Z. Nabila, A. Rahman Isnain, and Z. Abidin, “Analisis Data Mining Untuk Clustering Kasus Covid-19 Di Provinsi Lampung Dengan Algoritma K-Means,” J. Teknol. dan Sist. Inf., vol. 2, no. 2, p. 100, 2021, [Online]. Available: http://jim.teknokrat.ac.id/index.php/JTSI
Z. Cindya Dwynne, D. Nur Aini, T. Ayunita Pertiwi, and D. Pramana, “SENTIMAS: Seminar Nasional Penelitian dan Pengabdian Masyarakat Cluster Level of Online Game Addiction in Students of the Faculty of Science and Technology and its Correlation with Learning Interest Cluster Tingkat Kecanduan Game Online Pada Mahasiswa Fak,” pp. 126–132, 2023, [Online]. Available: https://journal.irpi.or.id/index.php/sentimas
C. Liu et al., “A Moving Shape-based Robust Fuzzy K-modes Clustering Algorithm for Electricity Profiles,” Electr. Power Syst. Res., vol. 187, p. 106425, 2020, doi: https://doi.org/10.1016/j.epsr.2020.106425.
S. Alphenia, “Analisis K-Modes Clustering Dengan Metode Jarak Yuan,” pp. 1–127, 2022.
A. Fauzi, N. M. Saraswati, R. Cipta, and S. Hariyono, “( Studi Kasus?: S MA Islam Ta ’ allumul Huda Bumiayu ),” vol. 1, no. 2, pp. 57–64, 2020.
Jupyter, “Jupyter.” jupyter.org, tanggal akses 02 Januari 2024
D. R. Fathony, Sulthan Alif Secca Ramadhani, Vincentian Michael Anton Poetra, and Nur Aini Rakhmawati, “Respon data siswa SMA terkait game online,” Zenodo, 2020. https://zenodo.org/record/4255028
J. S. Lemmens, P. M. Valkenburg, and J. Peter, “Development and validation of a game addiction scale for adolescents,” Media Psychol., vol. 12, no. 1, pp. 77–95, 2009, doi: 10.1080/15213260802669458.
Doli Fancius, Elvia Budianita, Iwan Iskandar, and Fadhilah Syafria, “Tingkat Kecanduan Game Online Menggunakan Algoritma X-Means Clustering,” pp. 135–145, 2022.
M. K. Khoirul Insan, U. Hayati, and O. Nurdiawan, “Analisis Sentimen Aplikasi Brimo Pada Ulasan Pengguna Di Google Play Menggunakan Algoritma Naive Bayes,” JATI (Jurnal Mhs. Tek. Inform., vol. 7, no. 1, pp. 478–483, 2023, doi: 10.36040/jati.v7i1.6373.
E. R. Susanto, A. Syarif, K. Muludi, R. R. W. Perdani, and A. Wantoro, “Implementation of Fuzzy-based Model for Prediction of Thalassemia Diseases,” J. Phys. Conf. Ser., vol. 1751, no. 1, 2021, doi: 10.1088/1742-6596/1751/1/012034.
Q. Z. Yang, X. S., & Wu, “A Method to Deal with the Attribute Names of Data in Data Mining,” Appl. Mech. Mater., 2015.
R. Sahara and T. Y. . Pristya, “Jurnal Ilmiah Kesehatan 2022 Jurnal Ilmiah Kesehatan 2022,” J. Ilm. Kesehat., vol. 21, no. 1, pp. 14–19, 2022.
M. V. A. Kumar, “Study Time Investment in Students at Tertiary Level of Education: A Comparative Study,” 2019.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Implementasi K-Modes Clustering Untuk Pengelompokan Data Bermain Game Pada Mahasiswa Ditinjau Dari Durasi Belajarnya
ARTICLE HISTORY
Issue
Section
Copyright (c) 2024 Yoga Kustanto, Endah Ratna Arumi, Dimas Sasongko, Emilya Ully Artha, Nugroho Agung Prabowo

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).