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All Journal International Journal of Advances in Applied Sciences
Muhamad Willdan
Janabadra University
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Social media resonance on destination dispersion to predict tourist behavior and travel distance using geospatial analysis Nindyo Cahyo Kresnanto; Wika Harisa Putri; Muhamad Willdan
International Journal of Advances in Applied Sciences Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i3.pp883-893

Abstract

This study investigates the influence of social media popularity on tourist destination preferences in Gunungkidul Regency, Yogyakarta, Indonesia, using an integrated big data and geographic information system (GIS) approach. Field surveys involving 504 respondents were combined with sentiment analysis of 30,432 cleaned tweets collected from X (formerly Twitter). Spatial analysis was applied to identify tourist origin patterns and destination attractiveness. The results show that neutral sentiment dominates online discussions, indicating generally positive but moderate tourist experiences. Destinations with higher popularity on social media, particularly Heha Sky View, Drini Beach, and Indrayanti Beach, attracted visitors from broader and more diverse origins. Spatial analysis also indicates stronger preferences for coastal and highland destinations. The integration of big data and GIS enhances understanding of tourism behavior and spatial destination patterns. Future studies are recommended to integrate multiple social media platforms and comparative spatial analyses to improve tourism planning and destination management.
Co-Authors Nindyo Cahyo Kresnanto Putri, Wika Harisa