Concentration, Capacity and Constraint: A Mixed-Methods Evaluation of Cargo Handling Performance at Ciwandan Port, Banten, Indonesia
DOI:
https://doi.org/10.55927/fjas.v5i8.101Keywords:
Cargo Handling, Port Performance, Berth Utilisation, Equipment Reliability, Multipurpose TerminalAbstract
Multipurpose ports in emerging economies handle heterogeneous cargo across shared berths, yet the operational literature remains dominated by container terminals. This study evaluates cargo handling performance at Ciwandan Port, Banten, operated by PT Pelabuhan Indonesia Regional 2, and identifies the constraints that impede it. A convergent mixed-methods design was employed, combining descriptive analysis of 289 vessel calls recorded between January and September 2025 with field observation and semi-structured interviews conducted between May and November 2025. The vessel-call data comprise a total throughput of 2,626,613 tonnes. Analysis reveals a pronounced concentration of activity: the three sub-berths of Berth 05 together account for 70.8% of throughput, while Berth 04 absorbs 22.5% of all calls yet contributes only 7.9% of tonnage. Mean parcel size varies almost sevenfold across berths, from 3,192 to 21,870 tonnes per call.
References
Amin, C., Mulyati, H., Anggraini, E., & Kusumastanto, T. (2021). Impact of maritime logistics on archipelagic economic development in eastern Indonesia. The Asian Journal of Shipping and Logistics, 37(2), 157-164. https://doi.org/10.1016/j.ajsl.2021.01.004.
Aslam, S., Navarro, A., Aristotelous, A., Garro Crevillen, E., Martinez-Romero, A., Martinez-Ceballos, A., Cassera, A., Orphanides, K., Herodotou, H., & Michaelides, M. P. (2025). Machine learning-based predictive maintenance at smart ports using IoT sensor data. Sensors, 25(13), Article 3923. https://doi.org/10.3390/s25133923.
Brunila, O.-P., Kunnaala-Hyrkki, V., & Inkinen, T. (2021). Hindrances in port digitalization? Identifying problems in adoption and implementation. European Transport Research Review, 13(1), Article 62. https://doi.org/10.1186/s12544-021-00523-0.
Chen, L., Zhang, D., Ma, X., Wang, L., Li, S., Wu, Z., & Pan, G. (2016). Container port performance measurement and comparison leveraging ship GPS traces and maritime open data. IEEE Transactions on Intelligent Transportation Systems, 17(5), 1227-1242. https://doi.org/10.1109/TITS.2015.2498409.
Cheng, S., Liu, Q., Jin, H., Zhang, R., Ma, L., & Kwong, C. F. (2025). Collaborative optimization of truck scheduling in container terminals using graph theory and DDQN. Scientific Reports, 15(1), Article 6950. https://doi.org/10.1038/s41598-025-91140-7.
Crespo Del Castillo, A., Sasidharan, M., Nentwich, C., Merino, J., & Parlikad, A. K. (2023). Data-driven asset health index: An application to evaluate quay cranes in container ports. Maritime Policy & Management, 51(8), 1805-1823. https://doi.org/10.1080/03088839.2023.2231449.
Danladi, C., Tuck, S., Tziogkidis, P., Tang, L., & Okorie, C. (2024). Efficiency analysis and benchmarking of container ports operating in lower-middle-income countries: A DEA approach. Journal of Shipping and Trade, 9(1), Article 17. https://doi.org/10.1186/s41072-024-00163-2.
Delovic, D. (2020). An analysis of net berth productivity in the handling operations with dry bulk cargoes in a seaport. Journal of Traffic and Transportation Engineering, 8(3), 127-136. https://doi.org/10.17265/2328-2142/2020.03.004.
Garcia-Alonso, L., Moura, T. G. Z., & Roibas, D. (2020). The effect of weather conditions on port technical efficiency. Marine Policy, 113, Article 103816. https://doi.org/10.1016/j.marpol.2020.103816.
Gulmez, S., Gulmez, Y., & Tapaninen, U. P. (2025). Predicting cargo handling and berthing times in bulk terminals: A neural network approach. Case Studies on Transport Policy, 19, Article 101351. https://doi.org/10.1016/j.cstp.2024.101351
Lopez-Bermudez, B., Freire-Seoane, M. J., & Gonzalez-Laxe, F. (2019). Efficiency and productivity of container terminals in Brazilian ports (2008-2017). Utilities Policy, 56, 82-91. https://doi.org/10.1016/j.jup.2018.11.006.
Lv, Y., Gao, Y., & Liu, J. (2025). Dual strategies-based resilience enhancement in a bulk cargo port under dynamic machinery failure scenarios with reinforcement learning. Ocean & Coastal Management, 260, Article 107484. https://doi.org/10.1016/j.ocecoaman.2024.107484.
Neagoe, M., Hvolby, H.-H., Taskhiri, M. S., & Turner, P. (2021). Using discrete-event simulation to compare congestion management initiatives at a port terminal. Simulation Modelling Practice and Theory, 112, Article 102362. https://doi.org/10.1016/j.simpat.2021.102362.
Ozder, E. H., & Gumus, M. (2023). Solution for the problem of sustainable staff scheduling in semi-automated dock container terminals in ports. Transportation Research Record, 2677(6), 365-375. https://doi.org/10.1177/03611981221147211.
Parman, Agustin, D. F., & Sophia, A. V. (2025). Integrated risk assessment and mitigation strategy prioritization for cargo handling delays in dry bulk port terminals: A combined FMEA-AHP analysis. Airlangga Journal of Innovation Management, 6(4), 803-822. https://doi.org/10.20473/ajim.v6i4.81817.
Praharsi, Y., Jami'in, M. A., Sari, D. P., Isti'anah, P. R., & Wee, H.-M. (2025). Developing key performance indicators for a port in Indonesia. Sustainability, 17(10), Article 4664. https://doi.org/10.3390/su17104664.
Rodrigues, F., & Agra, A. (2022). Berth allocation and quay crane assignment/scheduling problem under uncertainty: A survey. European Journal of Operational Research, 303(2), 501-524. https://doi.org/10.1016/j.ejor.2021.12.040.
Rodseth, K. L., Wangsness, P. B., Schoyen, H., & Forsund, F. R. (2019). Port efficiency and emissions from ships at berth: Application to the Norwegian port sector. Maritime Economics & Logistics, 22(4), 585-609. https://doi.org/10.1057/s41278-019-00146-2.
Rosca, E., Rusca, F., Carlan, V., Stefanov, O., Dinu, O., & Rusca, A. (2025). Assessing the influence of equipment reliability over the activity inside maritime container terminals through discrete-event simulation. Systems, 13(3), Article 213. https://doi.org/10.3390/systems13030213.
Santoso, P. B., Armono, H. D., Gurning, R. O. S., & Cahyagi, D. (2025). Beyond river port logistics: Maximizing land-constrained container terminal capacity with agile and lean operation. Sustainability, 17(13), Article 5773. https://doi.org/10.3390/su17135773.
Soimun, A., Rupaka, A. P. G., Santi, N. M. K., & Fitri, S. N. (2025). Optimization of port terminal operations: A case study of international cargo handling. Jurnal Teknologi Transportasi dan Logistik, 6(1), 1-14. https://doi.org/10.52920/jttl.v6i1.440.
Tian, Q., Wang, W., Peng, Y., & Xu, X. (2024). High-level feature fusion deep learning model for fault detection in handling equipment in dry bulk ports. Journal of Marine Science and Engineering, 12(9), Article 1535. https://doi.org/10.3390/jmse12091535.
Verschuur, J., Koks, E. E., & Hall, J. W. (2023). Systemic risks from climate-related disruptions at ports. Nature Climate Change, 13(8), 804-806. https://doi.org/10.1038/s41558-023-01754-w.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Kusharyanto Kusharyanto, Agus Widodo, Rob Danang Priatmaja, Sandy Wahyu Purnomo

This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.























