<![CDATA[Digital transformation has changed how tourists form perceptions and evaluate tourism destinations through online reviews. In national parks on Java Island, destination representation through electronic word-of-mouth (e-WOM) does not fully align with actual visitation levels, indicating the need for an evaluation approach based on visitor perception data. This study aims to analyze the main topics shaping visitor perceptions and satisfaction toward national parks on Java Island based on Google Maps reviews. The research data consist of Google Maps reviews from 12 national parks on Java Island collected between September 6, 2023, and September 6, 2025. The analysis applies topic modeling using BERTopic to automatically extract key discussion topics and sentiment analysis to identify positive and negative visitor perceptions. Sentiment labeling is derived from star rating attributes and validated using an Automated Machine Learning (AutoML) approach. The synthesis of these findings serves as a basis for identifying strategic issues in destination management. The results identify nine main topics grouped into the five destination components of the 5A framework, namely attractions, activities, accommodation, amenities, and accessibility. Natural attractions and photo-related activities are dominated by positive sentiment, while costs, sanitation facilities, and accessibility show a higher proportion of negative sentiment. These findings suggest the need for strategies focusing on the consistency of supporting facilities, perceived price fairness and risk, and visitor dependence. Overall, this study demonstrates that Google Maps reviews can support adaptive and perception-based national park management to enhance the sustainable competitiveness of eco-tourism.]]>
