Information Extraction from Automatic Identification System (AIS) Data for Identifying Shipping Line based on Maritime Mobile Service Identity (MMSI)

Abstract Automatic Identification System (AIS) is a technology used to track the movement of ships through the transmission of ship data using Very High Frequency (VHF) waves. Ships around the world transmit their information, which is then captured by AIS receivers. This AIS data collected and stored at the ground station. This study uses the data on the number of ships categorized based the Maritime Mobile Service Identity (MMSI) in the southern Indonesian Archipelago Sea Route II (ALKI II), Madura strait, and its surroundings during one month period of March 2023. The AIS raw data processed using The Jupyter Notebook to generate the information such as MMSI, longitude, latitude, and navigation status. The information then plotted on QGIS to see the difference pattern of shipping lanes based on the ship’s MMSI number. The aim of this research is to demonstrate how AIS data processing and analysis can generate sufficient information for maritime spatial planning, including depicting maritime traffic density and traffic constellations, shipping lanes and navigation status, the hierarchical network of maritime routes, fishing zones, and spatial-temporal interactions between shipping activities. The findings from maritime spatial planning can offer valuable insights for law enforcement at sea and offer guidance for developing port infrastructure based on specific needs through the utilization of AIS data.