Dampak Perilaku Wisatawan Asing di Bali Dan Respon Sentimen Pengguna Twitter


Muhammad Luqman Taufiq
Fondina Gusriza


Tourism on the island of Bali has received high appreciation from various groups after successfully restoring the level of tourist visits after the Covid-19 pandemic. The tourism industry, wich was disrupted due to the limited mobility of tourists, has now resumed its operations. However, there is an unpleasant phenomenon with the behavior of foreign tourists while in the Bali region area which has caused public unrest to be discussed on social media, expecially twitter. This research was conducted with the aim of knowing the community sentiment response to the behavior of foreign tourists and the impact on tourism activities in the Bali island area. This research uses descriptive qualitative method with netnography interpretation, and is assisted by the NVivo data analysis application. The data used in the research consists of 2.263 tweets on twitter with the keyword “foreign tourist Bali”. The results of the analysis show that there is a negative sentiment from the community on twitter media with the emergence of various words that corner the foreign tourists for bad behavior in the Bali island area. The second result is the impact on tourism activities on the island of Bali with the mergence of pressure and restrictions on the activities of foreign tourists.


How to Cite
Luqman Taufiq, M., & Gusriza, F. (2023). Dampak Perilaku Wisatawan Asing di Bali Dan Respon Sentimen Pengguna Twitter. Jurnal Kajian Pariwisata, 5(2). https://doi.org/10.51977/jiip.v5i2.1319


Yoeti, A. O. (1996). Pengantar Ilmu Pariwisata. Penerbit Angkasa.
Ahuja, V., & Shakeel, M. (2017). Twitter Presence of Jet Airways-Deriving Customer Insights Using Netnography and Wordclouds. Procedia Computer Science, 122, 17–24. https://doi.org/10.1016/j.procs.2017.11.336
Alkatiri, A. B. M., Nadiah, Z., & Nasution, A. N. S. (2020). Opini Publik Terhadap Penerapan New Normal Di Media Sosial Twitter. CoverAge: Journal of Strategic Communication, 11(1), 19–26.
Assad Hidayat, M. M. M. Z. F. I. S. (2019). Implementasi Algoritma K-Nearest Neighbor dan Probabilistic Neural Network untuk Analisis Opini Masyarakat Terhadap Toko Online di Indonesia. Seminar Nasional Teknologi Informasi Komunikasi Dan Industri.
BPS Bali. (2023). Badan Pusat Statistik Provinsi Bali.
Damanik, J., Weber, & Helmut, F. (2006). Perencanaan Ekowisata: dari teori ke aplikasi. PUSPAR UGM & ANDI YOGYAKARTA.
Indartoyo, I. M., Kim, D. W., Purwanto, B. M., Gunawan, A., Riantini, R. E., & Gea, D. (2020). Netnography analysis of consumer sentiment towards panic buying in the early period of the COVID-19 virus spread. Proceedings of 2020 International Conference on Information Management and Technology, ICIMTech 2020, August, 626–631. https://doi.org/10.1109/ICIMTech50083.2020.9211182
Kementerian Pariwisata dan Ekonomi Kreatif. (n.d.). Trend Industri Pariwisata 2021.
Nimesh, R., Veera Raghava, P., Prince Mary, S., & Bharathi, B. (2019). A Survey on Opinion Mining and Sentiment Analysis. IOP Conference Series: Materials Science and Engineering, 590(1), 012003. https://doi.org/10.1088/1757-899X/590/1/012003
Peraturan Menteri Kesehatan Nomor 9 Tahun 2020 Tentang Pedoman Pembatasan Berskala Besar (PSBB), (2022).
Peraturan Pemerintah Nomor 21 Tahun 2020 tentang Pembatasan Sosial Berskala Besar Corona Virus Disease 2019 (COVID-19), (2020).
Phillips, M., & Lu, J. (2018). A quick look at NVivo. Journal of Electronic Resources Librarianship, 30(2), 104–106. https://doi.org/10.1080/1941126X.2018.1465535
Ramadhan, A. B., & Marsetyo, F. D. (2021). Media Sosial dan Connective Action : Studi Kasus Penggunaan Twitter sebagai Ruang Solidaritas s elama Pandemi COVID-19. 2(1), 1–13.
Schouten, K., & Frasincar, F. (2016). Survey on Aspect-Level Sentiment Analysis. IEEE Transactions on Knowledge and Data Engineering, 28(3), 813–830. https://doi.org/10.1109/TKDE.2015.2485209
WTTC. (2020). The future of travel & tourism in the wake of Covid-19. World Travel and Tourism Council (WTTC), September.