Digital Port Community Systems and IoT-Enabled Smart Maritime Governance

Authors

  • Rachma Revalina Choirunissahapsari Vocational High school of Hang Tuah 1

DOI:

https://doi.org/10.55123/ijisit.v2i1.92

Keywords:

Digital Port Community Systems, IoT-enabled Governance, Smart Ports, Big Data Analytics, Maritime Digital Transformation

Abstract

The transformation of ports into digitally integrated ecosystems has redefined maritime governance, shifting the focus from physical infrastructure to data-driven coordination and multi-agency collaboration. This research investigates how Digital Port Community Systems (PCS), supported by Big Data architectures, IoT-enabled information networks, and AI-assisted decision mechanisms, enhance stakeholder coordination and sustainable maritime development. Using a qualitative research design, data were collected from port experts, maritime lecturers, and industry graduates through semi-structured interviews and document analysis. Thematic analysis, cross-group comparison, and narrative synthesis were employed to interpret the findings. Results indicate a very high level of effectiveness in digital stakeholder literacy, AI and IoT integration, institutional readiness, and sustainable governance capacity. The findings demonstrate that interoperable digital platforms significantly improve transparency, operational efficiency, and policy integration, while also highlighting the importance of cybersecurity culture and enterprise architecture alignment. By integrating maritime policy, sustainability studies, and computer science perspectives, this study contributes an interdisciplinary framework for smart port governance and offers practical implications for maritime education, digital transformation strategies, and national logistics ecosystem development.

Downloads

Download data is not yet available.

References

[1] H. Paridaens and T. Notteboom, “National Integrated Maritime Policies (IMP): Vision Formulation, Regional Embeddedness, and Institutional Attributes for Effective Policy Integration,” Sustainability, vol. 13, no. 17, p. 9557, 2021. doi: 10.3390/su13179557.

[2] W. Zhang, Y. Zhang, and W. Qiao, “Risk Scenario Evaluation for Intelligent Ships by Mapping Hierarchical Holographic Modeling Into Risk Filtering, Ranking and Management,” Sustainability, vol. 14, no. 4, p. 2103, 2022. doi: 10.3390/su14042103.

[3] B. Kim, G. Kim, and M.-H. Kang, “Study on Comparing the Performance of Fully Automated Container Terminals During the COVID-19 Pandemic,” Sustainability, vol. 14, no. 15, p. 9415, 2022. doi: 10.3390/su14159415.

[4] P. Caldas, M. I. Pedro, and R. C. Marques, “An Assessment of Container Seaport Efficiency Determinants,” Sustainability, vol. 16, no. 11, p. 4427, 2024. doi: 10.3390/su16114427.

[5] K. Zhou, X. Yuan, Z. Guo, J. Wu, and R. Li, “Research on Sustainable Port: Evaluation of Green Port Policies on China's Coasts,” Sustainability, vol. 16, no. 10, p. 4017, 2024. doi: 10.3390/su16104017.

[6] S.-K. Kim, S. Choi, and C. Kim, “The Framework for Measuring Port Resilience in Korean Port Case,” Sustainability, vol. 13, no. 21, p. 11883, 2021. doi: 10.3390/su132111883.

[7] Y.-H. Liao and H.-S. Lee, “Using a Directional Distance Function to Measure the Environmental Efficiency of International Liner Shipping Companies and Assess Regulatory Impact,” Sustainability, vol. 15, no. 4, p. 3821, 2023. doi: 10.3390/su15043821.

[8] G.-Y. Chae, S.-H. An, and C.-Y. Lee, “Demand Forecasting for Liquified Natural Gas Bunkering by Country and Region Using Meta-Analysis and Artificial Intelligence,” Sustainability, vol. 13, no. 16, p. 9058, 2021. doi: 10.3390/su13169058.

[9] P. Ciancarini, R. Giancarlo, and G. Grimaudo, “Digital Transformation in the Public Administrations: A Guided Tour for Computer Scientists,” IEEE Access, vol. 12, pp. 20890–20915, 2024. doi: 10.1109/access.2024.3363075.

[10] N. A. Ahmad, S. M. Drus, and H. Kasim, “Factors That Influence the Adoption of Enterprise Architecture by Public Sector Organizations: An Empirical Study,” IEEE Access, vol. 8, pp. 113162–113181, 2020. doi: 10.1109/access.2020.2996584.

[11] M. N. Mahdi, A. R. Ahmad, R. Ismail, H. Natiq, and M. Mohammed, “Solution for Information Overload Using Faceted Search—A Review,” IEEE Access, vol. 8, pp. 119554–119571, 2020. doi: 10.1109/access.2020.3005536.

[12] A. D. Elbouzidi, A. Artiba, R. Pellerin, S. Lamouri, E. T. Valencia, and M.-J. Bélanger, “The Role of AI in Warehouse Digital Twins: Literature Review,” Applied Sciences, vol. 13, no. 11, p. 6746, 2023. doi: 10.3390/app13116746.

[13] M. Favaretto, E. De Clercq, A. L. Caplan, and B. S. Elger, “United in Big Data? Exploring Scholars' Opinions on Academic-Industry Partnership and the Use of Corporate Data in Digital Behavioral Research,” PLoS ONE, vol. 18, no. 2, p. e0280542, 2023. doi: 10.1371/journal.pone.0280542.

[14] B. Zyoud and S. L. Lutfi, “The Role of Information Security Culture in Zero Trust Adoption: Insights From UAE Organizations,” IEEE Access, vol. 12, pp. 68775–68790, 2024. doi: 10.1109/access.2024.3402341.

Downloads

Published

2025-06-30

How to Cite

Rachma Revalina Choirunissahapsari. (2025). Digital Port Community Systems and IoT-Enabled Smart Maritime Governance. IJISIT: International Journal of Computer Science and Information Technology, 2(1), 33–39. https://doi.org/10.55123/ijisit.v2i1.92

Issue

Section

Articles