Transformasi Hotel Cerdas: Penerapan Artificial Intelligence (AI) pada Kamar Hotel untuk Meningkatkan Personalisasi Pengalaman Tamu

Authors

  • Febriana Alda A Jurusan D-4 Manajemen Perhotelan, Fakultas Vokasi, Universitas Airlangga , Indonesia
  • Bambang Suharto Jurusan D-4 Manajemen Perhotelan, Fakultas Vokasi, Universitas Airlangga , Indonesia

Keywords:

Artificial Intelligence, Personalisasi Pengalaman Tamu, Hotel

Abstract

Tujuan dari penelitian ini adalah mengeksplorasi bagaimana integrasi AI dapat memungkinkan kamar hotel untuk menjadi lebih adaptif dan responsif terhadap preferensi tamu. Melalui pemanfaatan penggunaan sistem AI untuk menganalisis data yang dihasilkan, hotel dapat mengidentifikasi pola perilaku tamu dan menghasilkan rekomendasi personal yang sesuai. Penelitian ini menggunakan metode studi literatur review untuk mengumpulkan data dan mengolah data dari berbagai sumber yang relevan dengan yang diteliti. Berbagai sumber tersebut termasuk database ilmiah, jurnal, dan buku, digunakan untuk mendapatkan wawasan tentang penerapan artificial intelligence (AI) pada kamar hotel untuk meningkatkan personalisasi tamu. Implikasi dari penelitian ini yakni memungkinkan hotel untuk memberikan pengalaman yang lebih unik dan disesuaikan secara individu bagi setiap tamu, meningkatkan kepuasan dan loyalitas pelanggan. Selain itu, penerapan AI juga berpotensi untuk meningkatkan efisiensi operasional dan memperluas kesempatan untuk inovasi layanan di masa depan. Dengan demikian, AI dalam kamar hotel merupakan langkah menuju transformasi hotel cerdas yang berfokus pada peningkatan kualitas layanan dan menciptakan pengalaman tamu yang luar biasa.

References

Carvalho, I., & Ivanov, S. (2023). ChatGPT for tourism: Applications, benefits and risks. Tourism Review. https://doi.org/10.1108/TR-02-2023-0088

Citak, J., L.owoc, M., & Weichabroth, P. (2021) A note on the applications of artificial intelligence in the hospitality industry: preliminary results of a survey, 192 4552–4559. https://doi.org/10.1016/j.procs.2021.09.233

Deng, J., & Lin, Y. (2022). The benefits and challenges of ChatGPT: An overview. Frontiers in Computing and Intelligent Systems, 2(2), 81–83. https://doi.org/10.54097/fcis.v2i2.4465

Dwivedi, Y. K., Hughes, L., Wang, Y., Alalwan, A. A., Ahn, S. J., Balakrishnan, J., Barta, S., Belk, R., Buhalis, D., Dutot, V., Felix, R., Filieri, R., Flavián, C., Gustafsson, A., Hinsch, C., Hollensen, S., Jain, V., Kim, J., Krishen, A. S., … Wirtz, J. (2022). Metaverse marketing: How the metaverse will shape the future of consumer research and practice. Psychology & Marketing, 40(4), 750–776. https://doi.org/10.1002/mar.21767

Gidumal, B. J., Secin, E., O’Connor, P., & Buhalis, D., (2023). Artificial intelligence’s impact on hospitality and tourismmarketing: exploring key themes and addressing challenges. Current Issues in Tourism, 2-15. https://doi.org/10.1080/13683500.2023.2229480

Kim, J. J., Motes, A. A., & Han, H. (2021). The role of expected benefits towards smart hotels in shaping customer behavior: Comparison by age and gender. Sustainability, 13(1698), 1-14.

Li, J., Bonn, MA, & Kamu, BH (2019). Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate. Manajemen Pariwisata, 73,172–181. https://doi.org/10.1016/j.tourman.2019.02.006

Magora, (2023).”AI trends in hospitality” https://magora-ltd.medium.com/ai-trends-in- hospitality-59213aad065c (Diakses 26 februari 2024)

Mondal, S., Das, S., & Vrana, V. G. (2023). How to bell the cat? A theoretical review of generative artificial intelligence towards digital disruption in all walks of life. Technologies, 11(2), 44. https://doi.org/10.3390/technologies11020044

Murphy, J., Gretzel, U., & Hofacker, C. (2017). Service robots in hospitality and tourism: investigating anthropomorphism. 15th APacCHRIE conference, 31

Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing: Topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389–

https://doi.org/10.1016/j.jbusres.2020.10.044

Nandkarni, S., Kriechbaumer, F., Rothenberger, M., & Christodoulidou, N. (2019). The path to the hotel of things: Internet of Things and big data converging in hospitality. Journal of Hospitality and Tourism Technology, 3, 1-15.

Peelen, E., & Beltman, R. (2013). Customer relationship management. Pearson UK.

Pillai, S. G., Haldorai, K., Seo, W. S., & Kim, W. G. (2021). Covid-19 and hospitality 5.0: Redefining hospitality operations. International Journal of Hospitality Management, 94, 102869. https://doi.org/10.1016/j.ijhm.2021.102869

Wang, P. Q. (2024) Personalizing guest experience with generative AI in the hotel industry: there's more to it than meets a Kiwi’s eye. Current Issues in Tourism, 1-14 https://doi.org/10.1080/13683500.2023.2300030

Wang, PQ, Kim, PB, & Milne, S. (2017). Pertukaran pemimpin-anggota (LMX) dan hasil kerjanya: Peran moderator gender.Jurnal Pemasaran & Manajemen Perhotelan, 26(2), 125–143. https://doi.org/10.1080/19368623.2016.1185989

Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: Service robots in the frontline. Journal of Service Management, 29(5), 907–931. https://doi.org/10.1108/JOSM-04-2018-0119

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Published

16-06-2024

How to Cite

Alda A, F., & Suharto, B. (2024). Transformasi Hotel Cerdas: Penerapan Artificial Intelligence (AI) pada Kamar Hotel untuk Meningkatkan Personalisasi Pengalaman Tamu. Jurnal Pendidikan Tambusai, 8(2), 19956–19964. Retrieved from http://jptam.org/index.php/jptam/article/view/15403

Issue

Vol. 8 No. 2 (2024)

Section

Articles of Research

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