Locating a Hub Port in Eastern Indonesia Using Network Analytics

Akhmad Hidayatno; Andri Dwi Setiawan; Armand Omar Moeis; Teuku Yuri M. Zagloel; Arry Rahmawan Destyanto

doi:10.25104/transla.v23i2.1695

Locating a Hub Port in Eastern Indonesia Using Network Analytics

Akhmad Hidayatno, Andri Dwi Setiawan, Armand Omar Moeis, Teuku Yuri M. Zagloel, Arry Rahmawan Destyanto

Department of Industrial Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The main, current challenge to the maritime logistics system of Indonesia is the low level of freight transport from its eastern region. The transportation of goods to and from the eastern and western regions of Indonesia must be balanced if efficiency is to be enhanced and costs are to be reduced. One remedy to the current imbalance is increasing the existing economies of scale. This could be achieved by developing a hub port to enable goods to be consolidated and transported efficiently. The present study employs network analytics to determine the best site for a hub port in the eastern region of Indonesia. The coordinates of the ports in that region were analyzed using centrality algorithms and the NetworkX library. Based on analysis result, in perspective of relative distance between ports then Bitung port will be recommended as hub port in eastern Indonesia.

Original language	English
Pages (from-to)	49-54
Journal	Jurnal Penelitian Transportasi Laut
Volume	23
Issue number	2
DOIs	https://doi.org/10.25104/transla.v23i2.1695
Publication status	Published - 30 Dec 2021

Keywords

centrality
hub port
maritime logistics
network analytics

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10.25104/transla.v23i2.1695

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Locating a Hub Port in Eastern Indonesia Using Network Analytics

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Keywords

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