Evaluasi dan Optimasi Pengelolaan Pariwisata Grobogan Berdasarkan Analisis Data-Text Mining pada Google Review
DOI:
https://doi.org/10.58684/paradigma.v2i1.24Keywords:
Grobogan Tourism, Text Mining, Google Review, Sentiment Analysis, Destination Evaluation, Tourism Infrastructure, Data-Driven ManagementAbstract
This study aims to evaluate and optimize tourism management in Grobogan Regency through the analysis of tourist reviews on Google Review. A total of 200 reviews from ten popular tourist destinations were analyzed using a text mining approach, involving data preprocessing, bigram and trigram pattern identification, thematic categorization, and sentiment analysis. The findings reveal that the most common complaints concern inadequate infrastructure, limited public facilities, and poor maintenance by tourism managers. Despite the natural appeal of several sites, the lack of supporting infrastructure negatively affects visitor satisfaction. Thematic analysis identified five key issues: cleanliness, accessibility, facilities, services, and ticket pricing. Sentiment analysis results showed that 60% of reviews were positive, 30% negative, and 10% neutral. Based on these insights, the study proposes several strategic recommendations, including infrastructure improvements, local community engagement, and continuous digital evaluation. The study demonstrates that online reviews provide valid and real-time data for assessing tourism performance and can serve as a foundation for evidence-based policy. The implications highlight the importance of collaboration among local governments, tourism stakeholders, and communities to establish adaptive, participatory, and sustainable tourism management practices.
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