| Abstrak/Abstract |
The growth of Indonesia?s national economy in the sector of tourism has been improving constantly. Based on BPS data year 2015,
tourism has contributed to PDB with the amount of 4,25%. Tourists is an important aspect because they play a role in the economic
change in tourism. Along with social media development, tourists? distribution can be monitored using big data in social media.
Instagram is one of the social media which is often used by tourists to share photos or videos while traveling. Issues that appeared
when using big data Instagram to produce spatial data are size, variation, and a big time span. This research is aimed to extract big
data Instagram to produce basic tourists? spatial data and analyze tourist attractions using geovisualization hexagonal tessellation in
West Java Province and Special Region of Yogyakarta. Generally, the methods used are divided into three which are data mining,
graphic visual analysis and geovisualization classification hexagonal tessellation. The Instagram data extraction process uses a webbased software called Netlytic, while pre-processing data to produce tourists? spatial data uses QGIS software. Hexagonal
tessellation is tested by graphic visual to ensure the most effective measurement in the scale of 1: 1.250.000. The most effective
hexagonal tessellation measurement is used to classify tourist attractions. Based on the results, it shows that the most effective
measurement of hexagonal tessellation is 2 Km. The most popular tourist attraction is Malioboro Yogyakarta based on hexagonal
tessellation geovisualization analysis. |
