Tourist Movement Analysis using Social Media Data in Indonesia

Abstract

The popularity of various tourist destinations in Indonesia makes the tourism industry an essential pillar of the Indonesian economy sector. Understanding tourist behavior while visiting Indonesia plays a vital role in determining a suitable tourism strategy by knowing the tourist movement. But monitoring tourist movement is a nontrivial problem. Therefore, this study uses data sources based on tourist reviews on social media. The data is then applied to form the network based on network science that models their movements in Indonesia. The authors pick Lombok and Bali to represent this study because both islands are the most popular tourist destinations. This study models a complex representation of tourist movement, finds tourist movement directions to recognize their favorite destinations, and find the group of location preferred by tourist through network visualization. The study will be beneficial for policymakers, business opportunities, and the tourism office.