Digital Maritime Twin Berbasis Geographic Information System Sebagai Masa Depan Sistem Keamanan Maritim Indonesia
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Indonesia sebagai negara kepulauan terbesar di dunia memiliki tantangan geopolitik dan keamanan maritim yang sangat kompleks di wilayah ALKI (Alur Laut Kepulauan Indonesia). Keterbatasan sistem Maritime Domain Awareness (MDA) konvensional dalam mengintegrasikan data dinamis secara real-time melatarbelakangi urgensi adopsi teknologi mutakhir. Artikel ini mengonseptualisasikan implementasi Digital Maritime Twin (DMT) terintegrasi dengan Geographic Information System (GIS) sebagai arsitektur masa depan sistem keamanan maritim Indonesia. Menggunakan metode semi-systematic literature review dan pemodelan konseptual, penelitian ini merumuskan arsitektur multi-layer DMT berbasis GIS yang mampu mengintegrasikan big data maritim (AIS, VMS, Satelit, Radar, dan sensor oseanografi). Hasil pembahasan Hasil kajian menunjukkan bahwa DMT-GIS berpotensi memberikan manfaat lintas sektor pada bidang pertahanan, keamanan, keselamatan pelayaran, pemantauan lingkungan, dan logistik maritim, meskipun implementasinya menghadapi tantangan signifikan pada aspek infrastruktur data, interoperabilitas kelembagaan, dan kesiapan sumber daya manusia. Artikel ini merekomendasikan pendekatan bertahap dan kolaboratif lintas kementerian/lembaga sebagai fondasi menuju sistem keamanan maritim Indonesia yang adaptif dan berbasis data.
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Baylon, A. M., & Santos, E. (2025). Digital twin technology in maritime: A MAAP innovation strategy. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 19(4), 21. https://doi.org/10.12716/1001.19.04.21
Berg, H S., Menges, D., Tengesdal, T., & Rasheed, A. (2025). Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control. Scientific Reports, 15. https://doi.org/10.1038/s41598-025-93635-9
Can, E. (2025). An integrated digital twin framework for maritime mathematics: Navigation, engineering, logistics, and risk. Journal of Marine and Engineering Technology. https://doi.org/10.58771/joinmet.1789608
Ding, Y.-Z., Zhang, Z., Chen, K.-T., Ding, H., Voß, S., Heilig, L., Chen, Y., & Chen, X. (2023). Real-time monitoring and optimal resource allocation for automated container terminals: A digital twin application at the Yangshan Port. Journal of Advanced Transportation, 2023, 1-15. https://doi.org/10.1155/2023/6909801
Eom, J.-O., Yoon, J., Yeon, J.-H., & Kim, S. (2023). Port digital twin development for decarbonization: A case study using the Pusan Newport International Terminal. Journal of Marine Science and Engineering, 11(9), 1777. https://doi.org/10.3390/jmse11091777
Giering, J., & Dyck, A. (2021). Maritime digital twin architecture. at - Automatisierungstechnik, 69, 1081-1095. https://doi.org/10.1515/auto-2021-0082
Han, S., Li, F., Lee, C.-H., Wang, T., & Diaconeasa, M. A. (2024). Mirror the mind of crew: Maritime risk analysis with explicit cognitive processes in a human digital twin. Advanced Engineering Informatics, 62, 102746. https://doi.org/10.1016/j.aei.2024.102746
Klar, R., Fredriksson, A., & Angelakis, V. (2023). Digital twins for ports: Derived from smart city and supply chain twinning experience. IEEE Access, 11, 71777-71799. https://doi.org/10.1109/access.2023.3295495
Lv, Z., Lv, H., & Fridenfalk, M. (2023). Digital twins in the marine industry. Electronics, 12(9), 2025. https://doi.org/10.3390/electronics12092025
Mao, R., Li, Y., Li, G., Hildre, H. P., & Zhang, H. (2025). A systematic survey of digital twin applications: Transferring knowledge from automotive and aviation to maritime industry. IEEE Transactions on Intelligent Transportation Systems, 26, 4240-4259. https://doi.org/10.1109/tits.2025.3535593
Markopoulos, E., Markopoulos, P., Nandi, A., Faraclas, J., Leontopoulos, C., Meidanis, S., Monioudis, D., & Filahtos, G. (2024). The impact of digital twins technology in maritime fleet and safety management. Accessibility, Assistive Technology and Digital Environments. https://doi.org/10.54941/ahfe1004619
Mauro, F., & Kana, A. (2023). Digital twin for ship life-cycle: A critical systematic review. Ocean Engineering. https://doi.org/10.1016/j.oceaneng.2022.113479
Mouzakitis, S., Kontzinos, C., Tsapelas, J., Kanellou, I., Kormpakis, G., Kapsalis, P., & Askounis, D. (2022). Enabling maritime digitalization by extreme-scale analytics, AI and digital twins: The Vesselai architecture. Dalam International Conference on Database and Expert Systems Applications (pp. 246-256). Springer, Cham. https://doi.org/10.1007/978-3-031-16075-2_16
Nezhad, M. M., Neshat, M., Sylaios, G., & Garcia, A. D. (2023). Marine energy digitalization digital twin's approaches. Renewable and Sustainable Energy Reviews, 114065. https://doi.org/10.1016/j.rser.2023.114065
Nielsen, R., Papageorgiou, D., Nalpantidis, L., Jensen, B. T., & Blanke, M. (2022). Machine learning enhancement of manoeuvring prediction for ship digital twin using full-scale recordings. Ocean Engineering, 111579. https://doi.org/10.1016/j.oceaneng.2022.111579
Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
Vasilikis, N., Geertsma, R., & Coraddu, A. (2023). A digital twin approach for maritime carbon intensity evaluation accounting for operational and environmental uncertainty. Ocean Engineering, 115927. https://doi.org/10.1016/j.oceaneng.2023.115927
Wang, K., Xu, H., Wang, H., Qiu, R., Hu, Q., & Liu, X. (2024). Digital twin-driven safety management and decision support approach for port operations and logistics. Frontiers in Marine Science, 11, 1455522. https://doi.org/10.3389/fmars.2024.1455522
Zeneli, M., & Marinova, G. (2024). Navigating the future: Digital twin in maritime industry. Dalam 2024 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom) (pp. 1-6). IEEE. https://doi.org/10.1109/cobcom62281.2024.10631195
Zocco, F., Wang, H.-C., & Van, M. (2023). Digital twins for marine operations: A brief review on their implementation. arXiv preprint arXiv:2301.09574. https://doi.org/10.48550/arxiv.2301.09574
Zou, Y., Xiao, G., Li, Q., & Biancardo, S. A. (2025). Intelligent maritime shipping: A bibliometric analysis of internet technologies and automated port infrastructure applications. Journal of Marine Science and Engineering, 13(5), 979. https://doi.org/10.3390/jmse13050979