Analisis dan Model Standard Angkutan Laut: Studi Kasus Muatan Petikemas

Tri Achmadi, Mohammad Abdan Hanif, Alwi Sina Khaqiqi


The increase in container rates, which tends to be unstable, has an impact on the price of cargo per unit to increase. The uncertainty of the amount of cargo carried makes the tariffs imposed also unstable. The purpose of this research is to make a standard model of the cost of each unit and the size of the capacity of container transport services based on changes in cargo and distance of shipping routes. In addition, it analyzes the relationship between load factor and frequency on the gross income of a shipping company. The optimization method is used to get the size and cost per unit under certain conditions. The results of the analysis explain that the current tariff is not yet optimal, proven by the current cost equation y=2E+06x(-0,342) (R2= 0,238). Then to create a standard model of transportation, the equation for the cost line per container ship freight unit y=1E+09x(-0,759) (R2= 0,8634) while SPCB y=6E+07x(-0,59) (R2 = 0,8234). This study also produces an equation model for the size of the container ship transport capacity y=3E-05x+57,662 (R2=0,943) while SPCB y=2E-05x+94,446  (R2=0,997). The conclusion is using a sensitivity analysis of the carrying capacity with the current condition of ship operation patterns for the minimum load factor for the Surabaya-Ambon route 76% and Surabaya-Serui 48%. For a 100% load factor condition, it can reduce the cost per unit for the Surabaya-Ambon route by 50% and for the Surabaya-Serui route by 63%.


container, cost, optimization, rate, sensitivity


Ambarini, R., Suwandi, R., & Rahardjo, S. (2019). Evaluasi Masa Konsesi Pada Pembangunan Terminal Petikemas Kalibaru. Warta Penelitian Perhubungan, 26(12), 773.

Banerjee, A., Duflo, E., & Qian, N. (2020). On the road: Access to transportation infrastructure and economic growth in China. Journal of Development Economics, 145(January), 2–5.

Du, G., Sun, C., & Weng, J. (2016). Liner shipping fleet deployment with sustainable collaborative transportation. Sustainability (Switzerland), 8(2), 2–5.

Julien Brunel. (2015). Freight transport and economic growth : an empirical explanation of the coupling in the EU using panel data. Laboratoire d’économie Des Transports, 2–3.

Lasserre, F. (2004). Logistics and the Internet: Transportation and location issues are crucial in the logistics chain. Journal of Transport Geography, 12(1), 73–84.

Mansouri, S. A. (2015). Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions. Transportation Research Part E: Logistics and Transportation Review, 78, 3–18.

Mustafa, F. S., Khan, R. U., & Mustafa, T. (2021). Technical efficiency comparison of container ports in Asian and Middle East region using DEA. Asian Journal of Shipping and Logistics, 37(1), 12–19.

Nguyen, P. N., Woo, S. H., Beresford, A., & Pettit, S. (2020). Competition, market concentration, and relative efficiency of major container ports in Southeast Asia. Journal of Transport Geography, 83(January), 3–5.

Özer, M., Canbay, Ş., & Kırca, M. (2020). The impact of container transport on economic growth in Turkey: An ARDL bounds testing approach. Research in Transportation Economics, November 2019, 3–5.

Priftis, A., Papanikolaou, A., & Plessas, T. (2017). Parametric design and multiobjective optimization of containerships. Journal of Ship Production and Design, 33(1), 46–59.

Risso, W. A., & Carrera, E. J. S. (2012). Inequality and economic growth in China. Journal of Chinese Economic and Foreign Trade Studies, 5(2), 80–90.

Ting, S.-C., & Tzeng, G.-H. (2015). Ship scheduling and cost analysis for route planning in liner shipping. Maritime Economics & Logistics, 5(4), 378–392.

Tolofari, S., Button, K., & Pitfield, D. (2011). An econometric analysis of the cost structure of the tanker sector of the shipping industry. International Journal of Transport Economics/Rivista Internazionale Di Economia Dei Trasporti, 50(12), 71–84.

Wallinga, H. T. (2018). Ships and sea-power before the great Persian War: the ancestry of the ancient trireme. Brill, 99(1), 101–102.

Wang, X. (2015). Container Vessel Fleet Expansion Decision-Making Under Certain Conditions. MSc in Maritime Economics and Logistics, 3–6.

Wicaksana, S. A. (2017). Analisis Perbandingan Antar Moda Pengiriman Kendaraan : Studi Kasus Jakarta - Surabaya Analisis Perbandingan Antar Moda Pengiriman Kendaraan : Studi Kasus Jakarta - Surabaya. Institut Teknologi Sepuluh Nopember.

Zhao, H., Meng, Q., & Wang, Y. (2019). Exploratory data analysis for the cancellation of slot booking in intercontinental container liner shipping: A case study of Asia to US West Coast Service. Transportation Research Part C: Emerging Technologies, 106(January), 243–263.

Zhen, L., Hu, Y., Wang, S., Laporte, G., & Wu, Y. (2019). Fleet deployment and demand fulfillment for container shipping liners. Transportation Research Part B: Methodological, 120, 15–32.




  • There are currently no refbacks.

Copyright (c) 2021 Alwi Sina Khaqiqi

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