Port State Control Compliance and Vessel Safety Performance: A Comparative Analysis of Indonesian Flagged Ships in ASEAN Maritime Corridors
Keywords:
Port State Control; vessel safety; Indonesian shipping; ASEAN maritime; complianceAbstract
Port State Control (PSC) compliance remains one of the most critical determinants of vessel safety performance and international maritime trade competitiveness. This study conducts a comparative analysis of PSC detention rates and deficiency patterns among Indonesian-flagged vessels relative to selected ASEAN counterparts, identifying systemic root causes of non-compliance and proposing an institutional improvement model. Employing a qualitative research design with thematic analysis, the study engaged PSC officers, maritime safety inspectors, shipping company technical managers, and maritime law academics as primary respondents. Findings reveal an overall compliance readiness composite score of 4.19 out of 5.00, with structural management deficiencies and crew certification irregularities identified as the most prevalent root causes of PSC detentions. The research demonstrates that Indonesian-flagged vessel PSC performance, while improving, continues to lag behind Singaporean and Malaysian benchmarks due to inadequate safety management system implementation and inconsistent flag state oversight. The study contributes a compliance improvement model for Indonesian maritime administration and shipping companies, with direct implications for maritime professional education at STIP Jakarta.
References
Bilal, A., Xiao-ping, L., Nanli, Z., Sharma, R., & Jahanger, A. (2021). Green technology innovation, globalization, and CO2 emissions: Recent insights from the OBOR economies. Sustainability, 14(1), 236. https://doi.org/10.3390/su14010236
Caldas, P., Pedro, M. I., & Marques, R. C. (2024). An assessment of container seaport efficiency determinants. Sustainability, 16(11), 4427. https://doi.org/10.3390/su16114427
Caldeirinha, V., Felício, J. A., Pinho, T., & Rodrigues, R. (2024). Fuzzy-set QCA on performance and sustainability determinants of ports supporting floating offshore wind farms. Sustainability, 16(7), 2947. https://doi.org/10.3390/su16072947
Chae, G.-Y., An, S.-H., & Lee, C.-Y. (2021). Demand forecasting for liquified natural gas bunkering by country and region using meta-analysis and artificial intelligence. Sustainability, 13(16), 9058. https://doi.org/10.3390/su13169058
Du, S., Zhang, H. S., & Kong, Y. (2023). Sustainability implications of the Arctic shipping route for Shanghai port logistics in the post-pandemic era. Sustainability, 15(22), 16017. https://doi.org/10.3390/su152216017
Kim, B., Kim, G., & Kang, M.-H. (2022). Study on comparing the performance of fully automated container terminals during the COVID-19 pandemic. Sustainability, 14(15), 9415. https://doi.org/10.3390/su14159415
Kim, S.-K., Choi, S., & Kim, C. (2021). The framework for measuring port resilience in Korean port case. Sustainability, 13(21), 11883. https://doi.org/10.3390/su132111883
Liao, Y.-H., & Lee, H.-S. (2023). Using a directional distance function to measure the environmental efficiency of international liner shipping companies and assess regulatory impact. Sustainability, 15(4), 3821. https://doi.org/10.3390/su15043821
Mwendapole, M. J., & Jin, Z. (2021). Evaluation of seaport service quality in Tanzania: From the Dar Es Salaam seaport perspective. Sustainability, 13(18), 10076. https://doi.org/10.3390/su131810076
Paridaens, H., & Notteboom, T. (2021). National integrated maritime policies (IMP): Vision formulation, regional embeddedness, and institutional attributes for effective policy integration. Sustainability, 13(17), 9557. https://doi.org/10.3390/su13179557
Pian, F., Xu, L., Chen, Y., & Lee, S.-H. (2020). Global emission taxes and port privatization policies under international competition. Sustainability, 12(16), 6595. https://doi.org/10.3390/su12166595
Qi, J., Wang, S., & Zheng, J. (2022). Shore power deployment problem — A case study of a Chinese container shipping network. Sustainability, 14(11), 6928. https://doi.org/10.3390/su14116928
Zhang, W., Zhang, Y., & Qiao, W. (2022). Risk scenario evaluation for intelligent ships by mapping hierarchical holographic modeling into risk filtering, ranking and management. Sustainability, 14(4), 2103. https://doi.org/10.3390/su14042103







