Analisis Sentimen Game Genshin Impact pada Play Store Menggunakan Naïve Bayes Clasifier
DOI:
https://doi.org/10.51903/juritek.v3i1.1962Keywords:
genshim impact, naive bayes, onlineAbstract
Online games are an entertainment medium that cannot be separated from some groups of people, especially during the co-19 pandemic. The existence of a policy of violence reduces the interaction of people in the world, including in Indonesia, resulting in an increase in online activity, especially playing games. Game is an interesting online gaming platform, where players can still interact socially boldly. Genshin Impact is a mobile game that provides other platforms such as PC, PlayStation and Nintendo Switch. Although some people like this game, others are not satisfied with the game play. Sentiment analysis is also very useful when game developers want to know what users think about the game experience. This research aims to build a model of the classification of reviews on the Genshin Impact game available on the Google Play platform, so that the resulting model can provide recommendations for developers for improvement. The results obtained are reviews on the Google Play Store tend to be positive with an accuracy score of 87%, precision of 67%, memory of 98%, and f1 score of 67%. Evaluation is done by comparing the model that has been obtained in this study with the previous model with the same algorithm.
References
[2] R. J. Santi, D. Setiawan, and I. A. Pratiwi, “Perubahan Tingkah Laku Anak Sekolah Dasar Akibat Game Online,” J. Penelit. dan Pengemb. Pendidik., vol. 5, no. 3, p. 385, 2021.
[3] A. Zahraputeri and L. Kusdibyo, “Analisis Persepsi Pemain Terhadap Game Cross-Platform : Studi Kasus Permainan Genshin Impact,” Pros. 12th Ind. Res. Work. Natl. Semin., pp. 1273–1278, 2021.
[4] C. Angelia, F. A. M. Hutabarat, N. Nugroho, Arwin, and Ivone, “Perilaku Konsumtif Gamers Genshin Impact terhadap Pembelian Gacha,” J. Bus. Econ. Res., vol. 2, no. 3, pp. 61–65, 2021.
[5] R. I. Haikal, D. P. Agustino, and I. M. P. P. Wijaya, “Evaluasi User Experience pada Game Genshin Impact menggunakan Metode Cognitive Walkthrough dan Persona,” J. Sist. dan Inform., vol. 16, no. 1, pp. 17–25, 2021.
[6] Y. Wang, K. T. Kim, B. J. Lee, and H. Y. Youn, “Word clustering based on POS feature for efficient twitter sentiment analysis,” Human-centric Comput. Inf. Sci., vol. 8, no. 1, 2018.
[7] E. Indrayuni, “Analisa Sentimen Review Hotel Menggunaan Algoritma Support Vectore Machine Berbasis Particle Swarm Optimization,” J. Evolusi, vol. 4, 2016.
[8] W. Yulita et al., “Analisis Sentimen Terhadap Opini Masyarakat Tentang Vaksin Covid-19 Menggunakan Algoritma Naïve Bayes Classifier,” Jdmsi, vol. 2, no. 2, pp. 1–9, 2021.
[9] R. M. Amir Latif, M. Talha Abdullah, S. U. Aslam Shah, M. Farhan, F. Ijaz, and A. Karim, “Data scraping from google play store and visualization of its content for analytics,” 2019 2nd Int. Conf. Comput. Math. Eng. Technol. iCoMET 2019, pp. 1–8, 2019.
[10] J. Homepage, N. C. Agustina, D. Herlina Citra, W. Purnama, C. Nisa, and A. Rozi Kurnia, “MALCOM: Indonesian Journal of Machine Learning and Computer Science The Implementation of Naïve Bayes Algorithm for Sentiment Analysis of Shopee Reviews on Google Play Store Implementasi Algoritma Naive Bayes untuk Analisis Sentimen Ulasan Shopee pada Goo,” vol. 2, no. April, pp. 47–54, 2022.
[11] M. T. Anjasmoros, I. Istiadi, and F. Marisa, “Analisis Sentimen Aplikasi Go-Jek Menggunakan Metode SVM Dan NBC (Studi Kasus: Komentar Pada Play Store),” Conf. Innov. Appl. Sci. Technol. (CIASTECH 2020), no. Ciastech, pp. 489–498, 2020.
[12] D. P. Santoso and W. Wibowo, “Analisis Sentimen Ulasan Aplikasi Buzzbreak Menggunakan Metode Naïve Bayes Classifier pada Situs Google Play Store,” J. Sains dan Seni ITS, vol. 11, no. 2, 2022.
[13] S. M. Salsabila, A. Alim Murtopo, and N. Fadhilah, “Analisis Sentimen Pelanggan Tokopedia Menggunakan Metode Naïve Bayes Classifier,” J. Minfo Polgan, vol. 11, no. 2, pp. 30–35, 2022.
[14] G. K. Locarso, “Analisis Sentimen Review Aplikasi Pedulilindungi Pada Google Play Store Menggunakan NBC,” J. Tek. Inform. Kaputama, vol. 6, no. 2, pp. 353–361, 2022.
[15] R. Kusnadi, Y. Yusuf, A. Andriantony, R. Ardian Yaputra, and M. Caintan, “Analisis Sentimen Terhadap Game Genshin Impact Menggunakan Bert,” Rabit J. Teknol. dan Sist. Inf. Univrab, vol. 6, no. 2, pp. 122–129, 2021.
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