Comparative Analysis of Chatbot Adoption in Indonesian Provinces and Assess the Future Potential in Tourism Sector: A Literature Review

Abstract

This study aims to compare chatbot utilization in Indonesian provinces and assess the future potential in the tourism sector. We examine several pioneering chatbot implementations, including Pariyata in Yogyakarta; Mushi in Malang; as well as the Chatbot Desa Wisata Badung and MELALI in Bali. Results indicate that prototype chatbots built on rule-based AIML (Pariyata) and Dialogflow (Badung, MELALI) achieved high response accuracies when answering destination queries, demonstrating technical feasibility and user acceptance. However, early initiatives such as Mushi suffered from limited functionality and platform maintenance issues, showing the importance of sustainable governance and continuous system updates. Comparative analysis reveals that project with institutional support (universities, provincial government) and clear maintenance plans yield more consistent performance, while those lacking long-term funding face rapid obsolescence. Looking ahead, advanced natural language understanding, AI-driven recommendation engines, and multi-channel deployment (web, mobile, messaging apps) are necessary to enhancing user experience and operational resilience. To fully realize chatbot potential in Indonesian tourism, stakeholders should prioritize scalable cloud-based architectures, integration with smart-city and e-government platforms, and data-driven personalization features that adapt to visitor profiles. By addressing governance, technical, and user-engagement challenges, future chatbot deployments can support post-pandemic recovery, increase tourist satisfaction, and contribute to sustainable regional development.