Analisis Sentimen Wisatawan terhadap Kualitas Destinasi Pantai Sanur Berbasis User-Generated Content pada Platform TripAdvisor
DOI:
https://doi.org/10.24843/Keywords:
Sentiment Analysis, Sanur Beach, TripAdvisor, Bigram Analysis, E-tourismAbstract
Sanur Beach, a pioneer of Balinese coastal tourism, faces the challenge of maintaining its reputation in the digital era. This study evaluates tourist perceptions and sentiment dynamics at Sanur Beach based on the 4A framework: Attraction, Accessibility, Amenity, and Ancillary services. Methods: A total of 5,149 TripAdvisor reviews (2010–2025) were analyzed using web scraping and sentiment analysis. The methodology included data pre-processing, sentiment classification, and bigram frequency extraction to identify key experiential themes.
Findings indicate a strong international presence, dominated by Australian (32%) and British (10.7%) tourists. Sentiment trends peaked in 2016 before declining sharply during the COVID-19 pandemic. However, the destination has shown steady resilience through 2025. Positive sentiment is primarily driven by the “beach clean", “white sand", "water sport" and the which represent the core strengths of Sanur’s accessibility and aesthetics. Conversely, negative sentiments are triggered by "beach dirty," "low tide" frustrations, and "beach full", highlighting seasonal waste issues and social disturbances. While Sanur remains a favored destination for serenity and family-friendly activities, its long-term competitiveness depends on improved waste management and local vendor regulations. This research provides strategic insights for stakeholders to optimize coastal governance and digital reputation management.
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