Tourism destination grouping systems with partitioning clustering method from geotagged photo using android

Abstract

This application is focused on grouping photos that have information about the location of the photo. To get the location of the nearest tourism destination is by taking the location coordinate value from the uploaded photo then grouping it with a maximum distance of 1 kilometer. The main location for data collection is in Gunung Kidul Regency. This application uses Android for its development. For data processing and transforming scripts into the JSON file uses PHP and for storing the data uses MySQL.The metadata of the photo contains detail information about the photo. In the application shown the few information of its metadata such as the date and time took, image size and resolution, camera maker and model, also coordinate latitude and longitude. The location and metadata values will be shown in the application and stored in the database. Partitioning Clustering method used to find the nearest place within the 1 km radius. First of all by taking the coordinates value from an uploaded photo and stored to a database. The coordinate must be converted from Degree Minute Second Format into Latitude and Longitude Coordinate. After that, the calculation process starting with uses the Euclidean Distance formula to get the nearest distance of the attractions. To display the nearest location, sorting the result values from a minimum value to the maximum value as the final result. The application could be a reference for tourists who will visit Gunung Kidul Regency.