Automatic Identification System (AIS) Based Monitoring System and Its Role in Improving Maritime Transportation Safety in Indonesia
DOI:
https://doi.org/10.59261/jequi.v8i2.282Keywords:
Automatic Identification System (AIS), Shipping Safety, Ship Monitoring System, Vessel Traffic Services, Indonesian Maritime TransportationAbstract
Background: Maritime transportation safety in Indonesia still faces various challenges, marked by a high number of ship accidents and a less-than-optimal vessel traffic monitoring system. The Automatic Identification System (AIS), as a modern navigation technology, has been mandated by the government to improve shipping safety.
Objective: This study aims to analyze the effectiveness of the AIS-based monitoring system in improving maritime transportation safety in Indonesia and to identify obstacles in its implementation.
Methods: The research used a mixed-methods approach through observations at VTS Makassar, interviews with ship operators and regulators, and distribution of questionnaires to shipping actors.
Results: The results showed that AIS plays an important role in increasing navigational awareness, supporting real-time ship traffic monitoring, and aiding search and rescue processes. However, its effectiveness is not yet optimal due to devices being inactive or unfit for use, limited human resource competence, signal interference, and weak regulatory supervision.
Conclusion: In conclusion, the AIS system is functionally effective in improving maritime transportation safety but requires regulatory strengthening, improved technical training, and infrastructure updates to ensure its implementation is optimal and sustainable.
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References
Agustirani, M., Desta, S., & Asyikin, A. (2025). Evaluation of Compliance with IMO FAL Regulations in International Shipping Standards: A Comparative Study between Indonesia and Singapore. Journal of Maritime Policy Science, 2(3), 158–169. https://doi.org/10.31629/jmps.v2i3.8064
Asana, I. M. D. P., Widyantara, I. M. O., Linawati, L., Wiharta, D. M., & Wikananda, I. G. N. S. (2025). Real-Time Web-Based Ship Collision Risk Detection Using AIS Data and Collision Risk Index (CRI). Sinkron: Jurnal Dan Penelitian Teknik Informatika, 9(4), 1942–1952. https://doi.org/10.33395/sinkron.v9i4.15106
Bye, R. J., & Aalberg, A. L. (2018). Maritime navigation accidents and risk indicators: An exploratory statistical analysis using AIS data and accident reports. Reliability Engineering & System Safety, 176, 174–186. https://doi.org/10.1016/j.ress.2018.03.033
Ditjen Hubla. (2022). Statistik Transportasi Laut Indonesia. Kementerian Perhubungan RI.
Durlik, I., Miller, T., Kostecka, E., & Tuński, T. (2024). Artificial intelligence in maritime transportation: A comprehensive review of safety and risk management applications. Applied Sciences, 14(18), 8420. https://doi.org/10.3390/app14188420
Eka, S. (2020). Analisis Pengaruh Regulasi, Kenavigasian, Anak Buah Kapal, Alur Pelayaran Terhadap Keselamatan Pelayaran. Skripsi.
Enda, D., Agustiawan, A., Milchan, M., & Pratiwi, E. (2021). Rancang bangun aplikasi AIS backend untuk pemantauan lalu lintas kapal di Selat Melaka. INOVTEK Polbeng-Seri Informatika, 6(2), 284–294.
Formela, K., Weintrit, A., & Neumann, T. (2019). Overview of definitions of maritime safety, safety at sea, navigational safety and safety in general. TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, 13(2), 285–290.
Huang, Z., Hu, Q., Mei, Q., Yang, C., & Wu, Z. (2021). Identity recognition on waterways: A novel ship information tracking method based on multimodal data. The Journal of Navigation, 74(6), 1336–1352. https://doi.org/10.1017/S0373463321000503
International Maritime Organization. (2020). SOLAS Consolidated Edition 2020. London: IMO Publishing.
Khan, R. U., Yin, J., & Mustafa, F. S. (2021). Accident and pollution risk assessment for hazardous cargo in a port environment. PLoS One, 16(6), e0252732. https://doi.org/10.1371/journal.pone.0252732
Magryta-Mut, B. (2023). Modeling safety of port and maritime transportation systems. Zeszyty Naukowe Akademii Morskiej w Szczecinie. https://doi.org/10.17402/565
Mantoro, B., Indrawan, R., Octora, T. Y., & Saputra, D. (2025). Implementation of Indonesia Ship Reporting System (IndoSRep) in the Archipelagic Sea Lanes Passage of Indonesia (ALKI). KnE Social Sciences, 10(18), 326–344.
Moreno, F. C., Gonzalez, J. R., Muro, J. S., & Maza, J. A. G. (2022). Relationship between human factors and a safe performance of vessel traffic service operators: A systematic qualitative-based review in maritime safety. Safety Science, 155, 105892. https://doi.org/10.1016/j.ssci.2022.105892
Ozbas, B. (2013). Safety risk analysis of maritime transportation: review of the literature. Transportation Research Record, 2326(1), 32–38.
Purba, D. (2025). Integrating AIS-Based Probabilistic Collision Risk Assessment into Maritime Safety Education and Traffic Management. Meteor STIP Marunda, 18(2), 41–51. https://doi.org/10.36101/msm.v18i2.447
Rafoth, A., & Borchardt, J. (2021). New education tools for electro-technical officer (ETO).
Subekhan, C., Sh, M. H., & Mar, M. (2023). Perspektif Regulasi Manajemen Keselamatan Kapal Niaga di Indonesia-Damera Press. Damera Press.
Wang, S., Yin, J., & Khan, R. U. (2020). The multi-state maritime transportation system risk assessment and safety analysis. Sustainability, 12(14), 5728. https://doi.org/10.3390/su12145728
Xu, M., Ma, X., Zhao, Y., & Qiao, W. (2023). A systematic literature review of maritime transportation safety management. Journal of Marine Science and Engineering, 11(12), 2311. https://doi.org/10.3390/jmse11122311
Yang, D., Wu, L., Wang, S., Jia, H., & Li, K. X. (2019). How big data enriches maritime research–a critical review of Automatic Identification System (AIS) data applications. Transport Reviews, 39(6), 755–773. https://doi.org/10.1080/01441647.2019.1649315
Zhong, Y., Zhou, H., Grifoll, M., Martín, A., Zhou, Y., Liu, J., & Zheng, P. (2025). A novel method for holistic collision risk assessment in the precautionary area using AIS data. Systems, 13(5), 338. https://doi.org/10.3390/systems13050338
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Copyright (c) 2026 Tri Iriani Eka Wahyuni, Sidrotul Muntaha, Amiruddin Amiruddin, Irwan Jaya, Andi Hasmawati

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