An Information Extraction of LAPAN Satellite's AIS Database for Ship Classifications on the Territorial Waters of Indonesia

LAPAN participates in maritime surveillance with Automatic Identification System (AIS) payloads on the LAPAN-A2 and LAPAN-A3 satellites. AIS data consists of dynamic messages and static messages. A complete data set is needed to facilitate monitoring and analysis of ship traffic. This complete data contains the ship's identity (static message) and its navigation status (dynamic message). This data set can be obtained by processing data in the database. This study focuses on extracting information from the LAPAN satellite AIS database with combining AIS data from dynamic and static messages to get the number of vessels grouped by vessel type in the territory of Indonesia with coordinates 95BT / 141BT, - 11LS / 6LU with the data period January to December 2019 monthly. The information extraction on AIS satellite data for the classification of vessel types has been completed. The result of the information extraction is the greater the period of static data, the lesser the ship type is unknown / null, with average percentage of null vessel type is 73.76%, 56.93%, and 39.58% for static data for a period of 1 month, 3 months, and 1 year respectively. The results also show cargo ships have the highest number of vessels, with the number of vessels shows a downward trend along the year of 2019.