Competency-Based Training Management for Deck and Engine Cadets: A Comparative Analysis at Sekolah Tinggi Ilmu Pelayaran Jakarta

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Suhartini

Abstract





The rapid transformation of the global maritime industry, driven by technological advancement, evolving regulatory frameworks, and the emergence of autonomous vessel technologies, has intensified demands for competency-based training management in maritime higher education institutions. This study examines and comparatively analyzes the implementation of competency-based training management for deck nautical and engine technics cadets at Sekolah Tinggi Ilmu Pelayaran (STIP) Jakarta, Indonesia's premier state maritime polytechnic. Employing a qualitative descriptive design, data were collected from thirty cadets—fifteen from the deck nautical program and fifteen from the engine technics program—alongside five practitioner-lecturers comprising three maritime captains and two master mariners. Instruments included structured interview protocols, competency assessment rubrics, and observational checklists. Findings reveal significant discrepancies between the two cadet tracks in terms of perceived training effectiveness, competency progression, and instructional support, with engine technics cadets reporting comparatively lower satisfaction with the alignment between curriculum content and shipboard realities. Practitioner-lecturers identified institutional inflexibility and outdated competency benchmarks as principal barriers to training quality. The study contributes an original comparative framework for diagnosing track-specific competency management deficiencies and offers institutional policy recommendations aligned with STCW standards and contemporary maritime operational demands.


 


Keywords :  competency-based training; maritime education; deck cadets; engine cadets


 





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Competency-Based Training Management for Deck and Engine Cadets: A Comparative Analysis at Sekolah Tinggi Ilmu Pelayaran Jakarta. (2026). International Journal of Economics Management and Social Science , 9(2), 348-359. https://journal.salewangang.net/ijemss/article/view/118

References

Adnan, N., Abdullah, S. N. H. S., Yusof, R. J. R., Zainal, N. F. A., Qamar, F., & Yadegaridehkordi, E. (2023). A systematic literature review in robotics experiential learning with computational and adversarial thinking. IEEE Access, 11, 21862–21884. https://doi.org/10.1109/access.2023.3249761

Buddha, H., Shuib, L., Idris, N., & Eke, C. I. (2024). Technology-assisted language learning systems: A systematic literature review. IEEE Access, 12, 27645–27668. https://doi.org/10.1109/access.2024.3366663

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

Fernández Otoya, F. A., Cabero Almenara, J., Pérez Postigo, G. S., Bravo, J., Alcázar-Holguin, M. A., & Vilca-Rodríguez, M. (2024). Digital and information literacy in basic-education teachers: A systematic literature review. Education Sciences, 14(2), 127. https://doi.org/10.3390/educsci14020127

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

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

Sabri, S., Gani, A., Yadegaridehkordi, E., Eke, C. I., & Shuib, L. (2022). A survey on mobile learning for adult learners: State-of-the-art, taxonomy, and challenges. IEEE Access, 10, 85606–85631. https://doi.org/10.1109/access.2022.3195285

Shi, Y., Ramayah, T., Hongmei, L., Zhang, Y., & Wang, W. (2023). Analysing the current status, hotspots, and future trends of technology management: Using the WoS and Scopus database. Heliyon, 9(9), e19922. https://doi.org/10.1016/j.heliyon.2023.e19922

Widnall, E., Dodd, S., Russell, A. E., Curtin, E., Simmonds, R., Limmer, M., & Kidger, J. (2024). Mechanisms of school-based peer education interventions to improve young people's health literacy or health behaviours: A realist-informed systematic review. PLoS ONE, 19(4), e0302431. https://doi.org/10.1371/journal.pone.0302431

Yuebo, L., Halili, S. H., & Razak, R. A. (2024). Online learning success model for adults in open and distance education in Western China. PLoS ONE, 19(1), e0297515. https://doi.org/10.1371/journal.pone.0297515

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