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All Journal Jurnal Penelitian Transportasi Laut
Arry Rahmawan Destyanto
Delft University of Technology
Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Transportation

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Locating a Hub Port in Eastern Indonesia Using Network Analytics Armand Omar Moeis; Nur Faqih Wirawan; Arry Rahmawan Destyanto; Andri D. Setiawan; Bahy Helmi Hartoyo Putra; Teuku Yuri Zagloel; Akhmad Hidayatno
Jurnal Penelitian Transportasi Laut Vol 23, No 2 (2021): Jurnal Penelitian Transportasi Laut
Publisher : Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v23i2.1695

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.
Indonesian Port Cluster Simulation Game: Understanding Complex System Through Simulation Game Armand Omar Moeis; Shara Marcheline; Arry Rahmawan Destyanto; Teuku Yuri Zagloel; Akhmad Hidayatno
Jurnal Penelitian Transportasi Laut Vol 22, No 1 (2020): Jurnal Penelitian Transportasi Laut
Publisher : Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v22i1.1548

Abstract

Port Cluster is a collection of interdependent and involved companies in related activities in the same port area. Port clusters can be categorized as infrastructure. One of the characteristics of infrastructure is the number of parties involved in a problem, referred to as a Multi-Actor System. In a multi-actor system, policymaking becomes more complicated because it cannot be based on only one party's interests. Policymaking in this domain requires contemporary approaches where one of them is Simulation Gaming. This paper shows how Simulation Gaming can serve as an approach to comprehend the Indonesian Port Cluster, a multi-actor system.
The Development of Stowage Planning Model for General Cargo Ship and Cargo Barge Vessel Rebecca Rouli Samaria; Armand Omar Moeis; Timothy Thamrin Andrew H. Sihombing; Arry Rahmawan Destyanto
Jurnal Penelitian Transportasi Laut Vol 23, No 1 (2021): Jurnal Penelitian Transportasi Laut
Publisher : Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/transla.v23i1.1700

Abstract

As a maritime country whose water area is three times wider than its land, Indonesia has one of the ways to increase the logistic activities especially in adjusting to the development of the industry 4.0 by enhancing the productivity of maritime logistics in a way of streamlining the action at unit terminal containers. Stevedoring is a one of very important logistics activities in port operational ecosystem. In order to optimize the performance of the port, the efficiency of the stowage planning process is done. Some factors which can be evolved in stowage planning are processing time, ship stability, and minimum over stow. This research uses the stowage planning algorithm to develop an application in Python programming language. This application will eventually be used to create a stowage plan map for general cargo ship and cargo barge vessel in by prioritizing the ship stability, as well avoiding low over stow in a short time. With Python programming language a routine operational four hours job that used Microsoft Excel, only requires far less time with 10-15 seconds.
Co-Authors Akhmad Hidayatno Andri D. Setiawan Armand Omar Moeis Bahy Helmi Hartoyo Putra Nur Faqih Wirawan Rebecca Rouli Samaria Shara Marcheline Teuku Yuri Zagloel Timothy Thamrin Andrew H. Sihombing