Flickr Photos Analysis for Management of Beach Tourism in Bantul Regency: Popularity and Tourism Attraction

Abstract

Photos shared by social media users act as an approach in identifying tourist activity. Popular tourism attractions are judged based on the large number of photos or high photo density. Each beach in Bantul Regency has its own attraction that can be enjoyed and immortalized by tourists through photos. By analyzing the contents of Flickr photo, information on the types of beach tourism attractions that tourists are interested in can be obtained. This study examines the availability of coordinated Flickr photo data to assist in making tourism beach management policies. The analysis methods used include pattern analysis with average nearest neighbor, density analysis with kernel density estimation, image content analysis with tourist attraction variables, and overlay analysis to prepare recommendations for beach tourism management based on the popularity level of beach tourism attractions. The results of this study indicate that distribution pattern of Flickr photos are clustered on several beaches, such as Parangtritis, Baros, Depok, and Cemara Sewu, which are also beaches with high popularity. The type of beach tourism attraction in Bantul Regency is dominated by natural beauty, which is dominant in almost all beaches, except on Baros Beach. Each beach offers different tourism attractions with varying popularity levels for tourists. By using coordinated Flickr photo data and refers to the concept of tourism supply and demand, recommendations for the development of beach tourism attractions are compiled according to the theme and popularity level so it can target specific tourist market segments and compile integrated tour travel packages.

Keywords

• popularity
• beach attraction
• image content analysis
• flickr
• bantul