Grid-Based Ship Density Analysis and Anomaly Detection for Ship Movements Monitoring at Tanjung Priok Port

Muhammad Ramadhan Ikhsan; Panca Dewi  Pamungkasari; Babag  Purbantoro; Ira Diana  Sholihati; Frenda  Farahdinna; Josaphat Tetuko Sri  Sumantyo; Damy Matheus  Heezen

doi:10.59395/ijadis.v6i1.1367

Authors

Muhammad Ramadhan Ikhsan Information System, Faculty of Communication and Information Technology, National University, Indonesia
Panca Dewi Pamungkasari Information System, Faculty of Communication and Information Technology, National University, Indonesia
Babag Purbantoro Research Center for Geoinformatics, National Research and Innovation Agency (BRIN), Indonesia
Ira Diana Sholihati Information System, Faculty of Communication and Information Technology, National University, Indonesia
Frenda Farahdinna Information System, Faculty of Communication and Information Technology, National University, Indonesia
Josaphat Tetuko Sri Sumantyo Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
Damy Matheus Heezen Changemakers Network B.V., Netherlands

DOI:

https://doi.org/10.59395/ijadis.v6i1.1367

Keywords:

Maritime, Ship, Port, AIS, Anomaly

Abstract

Indonesia, as a maritime country, depends on ports to support inter-island transport and a smooth regional economy. So, the awareness of knowing the marine status with various platforms is needed. This research distinguishes itself from several previous studies on ship movement detection by concentrating specifically on anomalies in ship movement within areas of high traffic density. This research proposes to find out the ship density area using the grid technique and identify the anomalies that have occurred, as information on ship movements at Tanjung Priok Port. Anomaly detection is done by looking for it through visualization, where AIS data is converted into a form of visualization using the Python language. The results obtained two pieces of information, namely that the areas with the highest density are around the harbor, docks, and ship lanes. Then, two types of anomalies were detected, namely large ships with dangerous cargo speeding in dense areas and ships that behave differently compared to other ships with the same status.

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Author Biography

Josaphat Tetuko Sri Sumantyo, Center for Environmental Remote Sensing, Chiba University, Chiba, Japan

³Center for Environmental Remote Sensing, Chiba University, Chiba, Japan
⁴Department of Electrical Engineering, Universitas Sebelas Maret, Indonesia

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