Kecerdasan Buatan untuk Personalisasi Layanan: Studi Kasus Chatbot di Industri Travel
Abstrak
Kecerdasan buatan (Artificial Intelligence/AI) telah menjadi salah satu inovasi paling signifikan dalam industri pariwisata, khususnya dalam menghadirkan layanan yang lebih personal melalui teknologi chatbot. Penelitian ini bertujuan menganalisis peran chatbot berbasis AI dalam mempersonalisasi layanan di industri travel, dengan menekankan bagaimana teknologi Natural Language Processing (NLP) dan machine learning memfasilitasi interaksi yang adaptif dan responsif. Melalui pendekatan studi literatur dan studi kasus, penelitian mengkaji implementasi chatbot pada perusahaan KLM Royal Dutch Airlines dan Traveloka, mencakup layanan reservasi tiket, rekomendasi destinasi, hingga layanan pascaperjalanan. Hasil analisis menunjukkan bahwa personalisasi berbasis AI dapat meningkatkan kepuasan pelanggan, memperkuat loyalitas, serta mengurangi biaya operasional secara signifikan (McKinsey, 2021; Mukhlis et al., 2025; Liu & Mattila, 2021). Namun, implementasi chatbot juga menghadapi tantangan berupa keterbatasan pemahaman konteks budaya, risiko privasi data, dan resistensi sebagian pelanggan (Nguyen & Simkin, 2022; Wüst & Bremser, 2025). Dengan integrasi strategis antara chatbot dan sistem CRM, Big Data, serta pendekatan hibrid manusia-AI, pemanfaatan chatbot dapat menjadi fondasi transformasi digital yang berkelanjutan dalam industri pariwisata Indonesia dan global.
Kata Kunci: kecerdasan buatan; chatbot; personalisasi layanan; industri travel; transformasi digital
Referensi
Accenture. (2022). AI in travel and hospitality: Reinventing the customer experience. Accenture Research. https://www.accenture.com
Arteaga, S. M., García, J. L., & Rodríguez, P. (2019). The role of chatbots in enhancing tourist satisfaction: A case study. Journal of Tourism and Hospitality Technology, 10(2), 180–195.
Chen, J., & Wang, Y. (2021). Artificial intelligence in service: Applications, challenges, and research agenda. Journal of Service Research, 24(3), 356–371. https://doi.org/10.1177/1094670521998923
KLM Royal Dutch Airlines. (2021). How AI is transforming customer interaction at KLM. KLM Official Report. https://www.klm.com
Lan, F., Huang, Q., Zeng, L., Guan, X., Xing, D., & Cheng, Z. (2021). Tourism experience and construction of personalized smart tourism program under tourist psychology. Frontiers in Psychology, 12, 1–13. https://doi.org/10.3389/fpsyg.2021.691183
Liu, S., & Mattila, A. S. (2021). The role of AI-powered chatbots in hospitality service encounters. International Journal of Hospitality Management, 95, 102930. https://doi.org/10.1016/j.ijhm.2021.102930
López-Naranjo, A. L., Puente-Riofrio, M. I., Carrasco-Salazar, V. A., Erazo-Rodríguez, J. D., & Buñay-Guisñan, P. A. (2025). Artificial intelligence in the tourism business: A systematic review. Frontiers in Artificial Intelligence, 8. https://doi.org/10.3389/frai.2025.1599391
McKinsey & Company. (2021). The value of getting personalization right—or wrong—is multiplying. McKinsey Insights. https://www.mckinsey.com
Nguyen, T. H., & Simkin, L. (2022). AI-driven personalization in customer experience: Opportunities and challenges. Journal of Business Research, 144, 191–203. https://doi.org/10.1016/j.jbusres.2022.01.045
Sivarajah, U., Irani, Z., Gupta, S., & Mahroof, K. (2020). Role of artificial intelligence in shaping smart tourism: A review and research agenda. Information Systems Frontiers, 22(5), 1439–1459. https://doi.org/10.1007/s10796-019-09975-y
Traveloka. (2022). Introducing Tira: AI-powered chatbot for seamless customer service. Traveloka Newsroom. https://www.traveloka.com
Tussyadiah, I. P. (2020). Perceived impact of artificial intelligence and automation on travel and tourism jobs. Journal of Travel Research, 59(8), 1402–1418. https://doi.org/10.1177/0047287520937078
Wüst, K., & Bremser, K. (2025). Artificial intelligence in tourism through chatbot support in the booking process: An experimental investigation. Tourism and Hospitality, 6(1), 1–18. https://doi.org/10.3390/tourhosp6010036
Xu, F., Buhalis, D., & Weber, J. (2021). Serious games and the gamification of tourism. Tourism Management, 83, 104284. https://doi.org/10.1016/j.tourman.2020.104284
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