Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)

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AIS Data-Based Maritime Statistics Analysis in the Strait of Malacca

Authors
Depandi Enda1, *, Noerdin Basir2, Boby Rahman2, I Made Surya Kumara3
1Informatics Department, Politeknik Negeri Bengkalis, Bengkalis, Indonesia
2Civil Engineering Department, Politeknik Negeri Bengkalis, Bengkalis, Indonesia
3Department of Computer Engineering, Warmadewa University, Bali, Indonesia
*Corresponding author. Email: depandienda@polbeng.ac.id
Corresponding Author
Depandi Enda
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-926-1_92How to use a DOI?
Keywords
AIS Data; Malacca Strait; Maritime Statistic
Abstract

This study analyzes Automatic Identification System (AIS) data collected by the AIS-POLBENG Remote Base Station (RBS) in the Malacca Strait over a five-month period (February–June 2025) to support maritime traffic monitoring. The AIS data processing system was developed to encompass raw data recording, data cleaning and transformation, information extraction, data visualization and analysis. By utilizing open-source technologies such as PyAIS and PostgreSQL integrated with Python in Jupyter Notebook, the research generates strategic insights including vessel flag-state distribution, vessel types, navigational status, and traffic density. The analysis reveals that maritime traffic is dominated by foreign-flagged vessels, particularly those from Panama, Singapore, and the Marshall Islands, with cargo ships (54.49%) and tankers (24.02%) as the predominant vessel types. Most vessels were in the UnderWayUsingEngine status (84.88%), indicating high levels of engine-powered navigation activity. The average traffic density was recorded at 1.36 vessels/km2 per month, totaling 6.83 vessels/km2 during the observation period. These findings reaffirm the Malacca Strait as a high-intensity strategic shipping lane, underscoring the need for optimal traffic management to ensure navigational safety and efficiency.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-926-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-926-1_92How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Depandi Enda
AU  - Noerdin Basir
AU  - Boby Rahman
AU  - I Made Surya Kumara
PY  - 2025
DA  - 2025/12/31
TI  - AIS Data-Based Maritime Statistics Analysis in the Strait of Malacca
BT  - Proceedings of the International Conference on Applied Science and Technology on Engineering Science 2025 (iCAST-ES 2025)
PB  - Atlantis Press
SP  - 823
EP  - 833
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-926-1_92
DO  - 10.2991/978-94-6463-926-1_92
ID  - Enda2025
ER  -