MATEC Web Conf.
Volume 138, 2017The 6th International Conference of Euro Asia Civil Engineering Forum (EACEF 2017)
|Number of page(s)||9|
|Published online||30 December 2017|
Analysis of Model Loading and Unloading Time of Ships at Boom Baru Port, Palembang, Indonesia
1 Centre of Excellence Multimodal Transportation of Sriwijaya University, Jl. Padang Selasa 524, Palembang 30139, Indonesia
2 Department of Civil Engineering, Engineering Faculty Sriwijaya University, Palembang, Indonesia
* Corresponding author: firstname.lastname@example.org
Logistic transport passing through road transport in Palembang city has been very high. To support green Transport, it is recommended to convert some of land logistic transports to river transport. However, the river transport has not been ready in terms of dredging and maintaining water level of Musi River. Furthermore, Boombaru Port, which has been shallow, and has high tidal level difference, can cause the process of loading and unloading become longer. High dwelling time is one of many problems that happen in port’s container terminal in Indonesia. This is commonly caused by longer loading and unloading time than those ports with high navigability and good handling equipment. Loading and unloading time depends on some factors, i.e ship size, limitation of equipment and stacking yard, a shallow port basin, tidal period and tidal magnitude. This paper aims to model the loading and unloading Time at Container Terminal of Boombaru Port, and analyze the effect of some factors on loading and unloading time. The model derived is Y = 0.501 X1 – 0.021 X2 – 2.63 X3 – 29.745, which X1 is Length Over All (m), X2 is Low Tide Elevation (cm) and X3 is duration of tidal period (hour).
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.