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Fakultas Ilmu Komputer, Universitas Amikom Yogyakarta
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Journal : Journal of Applied Data Sciences

 1 
Applied Data Science and Artificial Intelligence for Tourism and Hospitality Industry in Society 5.0: A Review Hartatik, Hartatik; Isnanto, R. Rizal; Warsito, Budi
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.300

Abstract

The primary purpose of this research is to delve into the emerging trends of artificial intelligence and data science with a specific focus on the tourism and hospitality sectors. A comprehensive methodology used to conduct this research includes collecting article data, conducting analysis and then conducting a review study on data science and artificial intelligence trends. These articles were selected based on metadata sourced from web of science and Scopus metadata. In particular, the research scrutinized and assessed the evolving trends in data science and artificial intelligence   within the hotel and tourism category. This analysis drew data from two prominent databases, Web of Science and Scopus, obtained a total of 4155 articles identified using the software and generated 124 terms in the articles with at least ten co-occurrence relationships. The findings of this study explain the huge potential, namely the trend of data application of science and artificial intelligence   in the tourism sector which is categorized in five distinct areas: forecasting tourist demand, implementing customized service recommender systems for the tourism industry, classifying tourist behavior patterns in automation, analyzing and understanding tourist behavior, developing tourist destinations, and planning itineraries. Additionally, the research anticipates a heavy emphasis on future studies on predicting travel demand. Looking ahead, this research extends the foundations laid by previous review studies primarily focusing on knowledge and forecasting methodologies in the tourism sector. The conclusions drawn in this research are well-supported by the evolving landscape of knowledge in this field. Furthermore, contributions of this research it offers valuable insights into the future directions of apllied data science and artificial intelligent research are represents the pioneering effort to analyze of applying machine learning to advance artificial intelligence and big data within the hotel and travel industries. The authors propose several avenues for future research in this domain based on the data unearthed.Additionally, the research anticipates a heavy emphasis on future studies on predicting travel demand. Looking ahead, this research extends the foundations laid by previous review studies primarily focusing on knowledge and forecasting methodologies in the tourism sector. The conclusions drawn in this research are well-supported by the evolving landscape of knowledge in this field. Furthermore, it offers valuable insights into the future directions of sentiment analysis research. Notably, this paper represents the pioneering effort to comprehensively analyze the methodology of applying machine learning to advance AI and big data within the hotel and travel industries. The authors propose several avenues for future research in this domain based on the data unearthed.
Co-Authors Abdillah, Fardan Abdul Aziz Abdullah Abdullah Al Abdul Rohim Ananda, Fadhilah Dwi Andri Syafrianto Andy Supriyadi Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto, Anggit Dwi Anwar, Ahmad Ari Susanti Arifa Satria Dwi Cahya Audita Nuvriasari Berliana Kusuma Riasti Berliana Kusuma Riasti Budi Warsito Destanul Aulia, Destanul Dhiana Puspitawati Dyah Triwahyuningtyas Ema Utami Fiddin Yusfida Firdaus, Nurul Harliana Harliana Hastari Utama Hilman Haroen I Gusti Ngurah Agung Dewantara Putra Indra Permana, Indra Istiana, Dina Iswahyudi, Didik Jamilah Jamilah Kanoena, Melcior Paitin Kencana, Adi Kresna Khairullah, Irfan Khalil Krisnawati Krisnawati Kurniawan, Aas Andri Kusnawi Kusnawi Lucky Adhikrisna Wirasakti Mar'ati, Fudji Sri Mazidah, Umi Mendrofa, Syah Abadi Muhammad Huzain Munawwaroh, Fabroy Fauziyatul Nuril Huda Nury Yuniasih, Nury Pattimura, Yudha Bagas Purnamasari, Hetty Purwandari, Elce R. Rizal Isnanto Rahayu Lubis Rahayu, Supriati Hardi Ramadhani, Zanuarestu Rasyid, Muhammad Rusdi Rony Permadi Rosyid Rosyid Safira, Livia Seplyana, Desy Setiadi F., A. Farhan Shintya Wulan Safitri Sri Devi Nurhayati Subakti, Agung Subari Subari Sugianto, Efendi Sunatar, Bambang Supriyadi, Andy Sutardjo, Agus Syahril Hasan - Politeknik Sains dan Teknologi Wiratama Maluku Utara, Syahril Hasan Taufiq Nashrullah Wicahyono, Agus Wiwi Widayani Yusa, Aldo Yusfida A'la, Fiddin Yusfida, Fiddin