Determining the International Hub Port on Sumatra Island Using the Integration of Geographic Information System and Analytical Hierarchy Process Methods

Authors

  • Setijadi Department of Industrial Engineering, Universitas Widyatama, Bandung, 40125, Indonesia
  • Verani Hartati Department of Industrial Engineering, Universitas Widyatama, Bandung, 40125, Indonesia
  • Muchammad Fauzi Department of Industrial Engineering, Universitas Widyatama, Bandung, 40125, Indonesia
  • Melati Salma Department of Industrial Engineering, Institut Teknologi Kalimantan, Kalimantan Timur, 76127, Indonesia

DOI:

https://doi.org/10.12928/si.v23i2.361

Keywords:

AHP, GIS, Ports, Sumatra

Abstract

Indonesia’s maritime trade development heavily depends on the effective utilization of its port infrastructure, particularly in Sumatra, which is strategically located along the Malacca Strait and near major ASEAN markets. However, trade and logistics activities remain concentrated in Java, creating regional imbalances and leaving western Indonesian ports underutilized. This study aims to identify the most strategic ports in Sumatra that can serve as international trade hubs by developing a spatially integrated, multi-criteria evaluation framework. Three main criteria, trade volume, global connectivity, and multimodal accessibility, were assessed using the Analytic Hierarchy Process (AHP) based on expert input from port management, logistics, and transport planning specialists. Geographic Information System (GIS)-based proximity analysis was applied to evaluate each port’s access to roads, railways, and industrial centers, producing a Multimodal Connectivity Index integrated into the AHP model. The findings reveal that Boom Baru (Palembang), Belawan (Medan), and Batu Ampar (Batam) rank as the top-performing ports, with final scores of 0.875, 0.855, and 0.800, respectively. These ports exhibit high trade volumes and superior multimodal connectivity, with Boom Baru and Belawan achieving the highest connectivity index (2.67 out of 3.00). In contrast, Pekanbaru and Tanjung Balai Karimun scored lower due to limited infrastructure and weaker integration. The study concludes that incorporating GIS-based spatial analysis into the AHP framework reduces subjectivity in port evaluation and provides a replicable, data-driven tool for regional infrastructure prioritization. This approach contributes a novel composite index and offers strategic insights for developing Sumatra’s role in Indonesia’s maritime trade network.

References

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Jarumaneeroj, P., Ramudhin, A., & Barnett Lawton, J. (2023). A connectivity-based approach to evaluating port importance in the global container shipping network. Maritime Economics & Logistics, 25(3), 602–622. https://doi.org/10.1057/s41278-022-00243-9

Ji, X., Dong, F., Zheng, C., & Bu, N. (2022). The Influences of International Trade on Sustainable Economic Growth: An Economic Policy Perspective. Sustainability, 14(5), 2781. https://doi.org/10.3390/su14052781

Juangsa, F. B., & Ahmad, A. H. (2025). Cofiring Technology Concept. Decarbonizing Power Generation Sectors Using Biomass and Hydrogen-Based Fuels. https://doi.org/10.1007/978-981-97-9360-0_3

Kotikov, J. (2017). GIS-Modeling of Multimodal Complex Road Network and Its Traffic Organization. Transportation Research Procedia, 20, 340–346. https://doi.org/10.1016/j.trpro.2017.01.043

Kusumawardani, R., & Widyatmoko, A. A. (2024). Enhancing Pharma Manufacturing Efficiency: Integrating Lean Six Sigma and Fuzzy FMEA for Waste Reduction. Spektrum Industri. https://journal3.uad.ac.id/index.php/spektrum/article/view/199

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Lee, S., Song, J., Park, S., & Sohn, B. (2014). A Study on the Comparative Analysis of Port Competitiveness Using AHP. KMI International Journal of Maritime Affairs and Fisheries, 6(1), 53–71. https://doi.org/10.54007/ijmaf.2014.6.1.53

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Nguyen, T.-M.-T., Nguyen, D.-T., Truong, M.-H., & Doan, N.-A. (2021). GIS-based simulation for deep-water port site selection using analytic hierarchy process: a case study from Southern East of Vietnam. Applied Geomatics, 13(1), 107–118. https://doi.org/10.1007/s12518-020-00319-2

Notteboom, T. E., & Rodrigue, J.-P. (2005). Port regionalization: towards a new phase in port development. Maritime Policy & Management, 32(3), 297–313. https://doi.org/10.1080/03088830500139885

Papaioannou, D., & Wagner, N. (2019). Benchmarking accessibility in cities: measuring the impact of proximity and transport performance. In International Transport Forum, Paris.

Prastyabudi, W. A., Faharga, R. A., & Chandra, H. (2024). Systematic Risk Analysis of Railway Component Quality: Integration of Failure Mode &Effect Analysis (FMEA) and Fault Tree Analysis (FTA). Spektrum Industri. https://journal3.uad.ac.id/index.php/spektrum/article/view/223

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Smith, G., & Hensher, D. A. (2020). Towards a framework for Mobility-as-a-Service policies. Transport Policy, 89, 54–65. https://doi.org/10.1016/j.tranpol.2020.02.004

Abu-Aisha, T., Audy, J.-F., & Ouhimmou, M. (2024). Toward an efficient sea-rail intermodal transportation system: a systematic literature review. Journal of Shipping and Trade, 9(1), 23. https://doi.org/10.1186/s41072-024-00182-z

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Akbari, N., Irawan, C. A., Jones, D. F., & Menachof, D. (2017). A multi-criteria port suitability assessment for developments in the offshore wind industry. Renewable Energy, 102, 118–133. https://doi.org/10.1016/j.renene.2016.10.035

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Ansofino, Z., & Zusmelia, Z. (2017). Towards economic linkages and market integration in facing ASEAN economic community: Case study West Sumatra economy. In Int J Econ Res.

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Benítez, J., Delgado-Galván, X., Gutiérrez, J. A., & Izquierdo, J. (2011). Balancing consistency and expert judgment in AHP. Mathematical and Computer Modelling, 54(7–8), 1785–1790. https://doi.org/10.1016/j.mcm.2010.12.023

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Cullinane, K., & Wang, Y. (2009). A capacity-based measure of container port accessibility. International Journal of Logistics Research and Applications, 12(2), 103–117. https://doi.org/10.1080/13675560902749340

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Delgado, M., Porter, M. E., & Stern, S. (2014). Clusters, convergence, and economic performance. Research Policy, 43(10), 1785–1799. https://doi.org/10.1016/j.respol.2014.05.007

Donnadieu, F., Jessop, D., Bani, P., & Moune, S. (2022). Volcano Remote Sensing with Ground-Based Techniques. Hazards and Monitoring of Volcanic Activity 2: Seismology, Deformation and Remote Sensing. https://onlinelibrary.wiley.com/doi/10.1002/9781394169610.ch4

Dwitasari, R., Andriani, I., Herwening, M., Susanti, S., & Kuswati, A. S. (2021). Container Ports’ Performance and Logistics Costs: A Case Study in Indonesia. In International Conference on industrial Engineering and Operations Management. https://ieomsociety.org/proceedings/2021indonesia/42.pdf

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Guo, T., Liu, P., Wang, C., Xie, J., Du, J., & Lim, M. K. (2023). Toward sustainable port-hinterland transportation: A holistic approach to design modal shift policy mixes. Transportation Research Part A: Policy and Practice, 174, 103746. https://doi.org/10.1016/j.tra.2023.103746

Herdian, T., Simatupang, T. M., Basri, M. H., & Purqon, A. (2025). Legislation review in reconstructing Indonesia’s hub ports policy. Case Studies on Transport Policy, 21, 101528. https://doi.org/10.1016/j.cstp.2025.101528

Hu, Q., Wiegmans, B., Corman, F., & Lodewijks, G. (2019). Integration of inter-terminal transport and hinterland rail transport. Flexible Services and Manufacturing Journal, 31(3), 807–831. https://doi.org/10.1007/s10696-019-09345-8

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Kusumawardani, R., & Widyatmoko, A. A. (2024). Enhancing Pharma Manufacturing Efficiency: Integrating Lean Six Sigma and Fuzzy FMEA for Waste Reduction. Spektrum Industri. https://journal3.uad.ac.id/index.php/spektrum/article/view/199

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Published

2025-10-31

How to Cite

Setijadi, S., Hartati, V., Fauzi, M., & Salma, M. (2025). Determining the International Hub Port on Sumatra Island Using the Integration of Geographic Information System and Analytical Hierarchy Process Methods. Spektrum Industri, 23(2), 263–278. https://doi.org/10.12928/si.v23i2.361

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Logistics and Supply Chain Management