An Alternative to Optimize the Indonesian’s Airport Network Design: An Application of Minimum Spanning Tree (MST) Technique

https://doi.org/10.22146/gamaijb.5477

Luluk Lusiantoro(1*), Wakhid Slamet Ciptono(2)

(1) Faculty Economics and Business, Universitas Gadjah Mada
(2) CIPTONO, Wakhid Slamet, earned his Ph.D. (2010) from the Faculty of Business and Accountancy, University of Malaya, Kuala Lumpur, Malaysia. Previously, he completed his M.B.A. (1993) in Strategic Operations and Entrepreneurship Management and his M.P.M. (1993) in Project and Program Management at Western Carolina University, North Carolina, U.S.A. He is a lecturer, researcher, and consultant at the Department of Management, Faculty of Economics and Business, Universitas Gadjah Mada. Currently, he is the Director of Master Management (MM/MBA) Program, Faculty of Economics and Business, UGM-Jakarta. He was the Director of Research and Development Management, Faculty of Economics (1999-2002); and was the Director/ Project Manager of Project Implementation Unit/ Japan Bank for International Cooperation (2005-2006), UGM. His main areas of research include Strategic Operations Management, Program/Project Management, Asset (Realty) Management, Total Quality and Innovation Management, Strategic Entrepreneurship Management, Supply/Demand-Chain Management, and Metaknowledge Management. Author contact’s details: Master of Management Program (MM/MBA Program), Faculty of Economics and Business, Universitas Gadjah Mada, Jl. Teknika Utara 1, Yogyakarta 55281, Indonesia; Phone: +62 274 562222, 511036, Fax. +62 274 564388; e-mail: wakhidsciptono@mmugm.ac.id.
(*) Corresponding Author

Abstract


Using minimum spanning tree technique (MST), this exploratory research was done to optimize the interrelation and hierarchical network design of Indonesian’s airports. This research also identifies the position of the Indonesian’s airports regionally based on the ASEAN Open Sky Policy 2015. The secondary data containing distance between airports (both in Indonesia and in ASEAN), flight frequency, and correlation of Gross Domestic Regional Product (GDRP) for each region in Indonesia are used as inputs to form MST networks. The result analysis is done by comparing the MST networks with the existing network in Indonesia. This research found that the existing airport network in Indonesia does not depict the optimal network connecting all airports with the shortest distance and maximizing the correlation of regional economic potential in the country. This research then suggests the optimal networks and identifies the airports and regions as hubs and spokes formed by the networks. Lastly, this research indicates that the Indonesian airports have no strategic position in the ASEAN Open Sky network, but they have an opportunity to get strategic positions if 33 airports in 33 regions in Indonesia are included in the network.     

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DOI: https://doi.org/10.22146/gamaijb.5477

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