Analisis Faktor yang Mempengaruhi Gamers PC dan Konsol Beralih ke Game Mobile menggunakan Metode K-Means Clustering
DOI:
https://doi.org/10.35870/jtik.v6i1.383Keywords:
Clustering, Data Mining, Game, K-MeansAbstract
This research was conducted because of the trend that has occurred in the last 5 years in Indonesia, namely the emergence of mobile-based games that are played by many people in Indonesia from small children to adults. With the emergence of mobile-based games in Indonesia, the appeal of PC and console-based games has become less attractive. This study aims to analyze the factors that influence PC and console-based gamers to switch to mobile-based games. The method used in this study is K-means Clustering and the supporting data from this study include the age factor of the game players and the duration of playing the game as a parameter. The technique of collecting data is through a google form questionnaire. The subject of the research is the Indonesian gamers forum contained in facebook forums.Downloads
References
Trisnadoli, A., 2015. Analisis kebutuhan kualitas perangkat lunak pada software game berbasis mobile. Jurnal Komputer Terapan, 1(2), pp.1-8.
Setiawan, H.S., 2018. Analisis Dampak Pengaruh Game Mobile Terhadap Aktifitas Pergaulan Siswa Sdn Tanjung Barat 07 Jakarta. Faktor exacta, 11(2), pp.146-157.
Tantoni, A., Zaen, M.T.A. and Imtihan, K., 2019. Analisis Kebutuhan Kecepatan Bandwidth Game Online (Free Fire, Mobile Legends, Pubg Mobile). Jurnal Informatika Dan Rekayasa Elektronik, 2(2), pp.81-90.
Jin, D.Y., Chee, F. and Kim, S., 2015. Transformative mobile game culture: A sociocultural analysis of Korean mobile gaming in the era of smartphones. International Journal of Cultural Studies, 18(4), pp.413-429.
Wu, T.T. and Huang, Y.M., 2017. A mobile game-based English vocabulary practice system based on portfolio analysis. Journal of Educational Technology & Society, 20(2), pp.265-277.
Krauss, H.L., Bostian, C.W. and Raab, F.H., 1980. Solid state radio engineering. Wiley.
Hand, D. J., & Adams, N. M. 2014. Data mining. Wiley StatsRef: Statistics Reference Online, 1-7.
Kapp, K.M., 2012. The gamification of learning and instruction: game-based methods and strategies for training and education. John Wiley & Sons.
Markauskaite, L. and Goodyear, P., 2017. Epistemic fluency and professional education. Dordrecht: Springer.
Klopfer, E., Osterweil, S. and Salen, K., 2009. Moving learning games forward. Cambridge, MA: The Education Arcade.
Taylor, T.L., 2018. Watch me play: Twitch and the rise of game live streaming. Princeton University Press.
Kerr, A., 2021. Decoding and recoding game jams and independent game making spaces for inclusion. Independent Videogames: Cultures, Networks, Techniques and Politics, pp.29-42.
Priyatman, H., Sajid, F. and Haldivany, D., 2019. Klasterisasi Mengguanakan Algoritma K- Means Clustering untuk Memprediksi Waktu Kelulusan Mahasiswa. Jurnal Edukasi dan Penelitian Informatika (JEPIN), 5(1), p.62.
Durairaj, M. and Vijitha, C., 2014. Educational data mining for prediction of student performance using clustering algorithms. International Journal of Computer Science and Information Technologies, 5(4), pp.5987-5991.
Mehmood, M.U., Chun, D., Han, H., Jeon, G. and Chen, K., 2019. A review of the applications of artificial intelligence and big data to buildings for energy-efficiency and a comfortable indoor living environment. Energy and Buildings, 202, p.109383.
Haris, A. and Hendrian, E., 2019. Sistem Monitoring dan Klaster Ketersediaan Energi Menggunakan Metode K-Means pada Pembangkit Listrik Tenaga Surya. CESS (Journal of Computer Engineering, System and Science), 4(2), pp.266-271.
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