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All Journal Marine Research in Indonesia JIEB : Jurnal Ilmiah Ekonomi Bisnis Jurnal Syntax Imperatif : Jurnal Ilmu Sosial dan Pendidikan Jurnal Al Azhar Indonesia Seri Ilmu Sosial Journal of Islamic Economics and Philanthropy International Journal Law and Legal Ethics (IJLLE) Journal of Hospitality Accommodation Management Journal Hotspot (jh) Jurnal Pengabdian Masyarakat STIE Surakarta (DIMASETA) Journal of Society Bridge Journal of Commerce Management and Tourism Studies Journal of Information Technology and society (JITS) Social Sciences Insights Journal Research of Islamic Economics (RIE) Jurnal Ilmu Politik dan Studi Sosial Terapan Indonesian Journal of Applied Accounting and Finance Journal of Sharia Economics, Banking and Accounting Indonesian Tourism Journal LinguaEducare: Journal of English and Linguistic Studies Inflasi : Jurnal Ekonomi, Manajemen dan Perbankan Expert Net: Exploration Journal of Technological Education Trends Alkasb: Journal of Islamic Economics Jurnal Ilmu-Ilmu Pertanian Jurnal Sosial & Humaniora (Silatene) Journal of Economics, Management and Accounting (JEMA) Journal of Economic and Business Jurnal Penelitian Ilmu Pariwisata JEIZA: Jurnal Ekonomi Islam Az-Zain
Koswara, Asep
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Journal : Jurnal Penelitian Ilmu Pariwisata

 1 
AI and Big Data in Tourism: Mapping Geographic Keywords for Indonesian Destinationsraphic Keywords for Indonesian Destinations Koswara, Asep
Jurnal Penelitian Ilmu Pariwisata Vol. 1 No. 1 (2025): Jurnal Penelitian Ilmu Pariwisata
Publisher : Institut Citra Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33862/jpip.v1i1.564

Abstract

This study explores the integration of Artificial Intelligence (AI) and Big Data in mapping geographical keywords related to tourism destinations in Indonesia. Using an exploratory qualitative approach, the study aims to understand how tourism-related keyword search behavior can reveal regional tourism trends, thematic interests of travelers, and seasonal dynamics of tourism demand. Data were collected from tourism keyword searches throughout 2023–2024 and analyzed using Natural Language Processing (NLP) techniques, including thematic classification, semantic mapping, and keyword association analysis. The findings reveal four key insights: (1) the frequency of geographical keywords highlights both popular and emerging tourism areas; (2) thematic classification identifies traveler interests in cultural, natural, and culinary tourism; (3) temporal analysis shows consistent seasonal patterns in search intensity; and (4) semantic mapping displays relationships among keywords, reflecting traveler perceptions and preferences. The study emphasizes that AI and Big Data can enhance destination branding, policy planning, and personalized tourism marketing strategies. In addition to contributing theoretically to the smart tourism literature, it also offers practical guidance for stakeholders to align promotional strategies with actual search trends and regional tourism needs.
Co-Authors Aditya, Vishnu Arief Rachman Hikmah Thoha Lina Herlina Neni Kurniawati Nurul Fitriya Siti Marpuah, Siti Tumpak Sidabutar