Connectivity Analysis of Non-Container Ports at PT Pelindo Multi Terminal Using SNA and GIS

Authors

  • Nailul Abror Pohan Universitas Sumatera Utara, Indonesia
  • Ahmad Perwira Mulia Tarigan Universitas Sumatera Utara, Indonesia
  • Zaid Perdana Nasution Universitas Sumatera Utara, Indonesia

DOI:

https://doi.org/10.59188/eduvest.v4i9.1264

Keywords:

Social Network Analysis, Geographic Information System, Pelindo, Connectivity, Non Container Port

Abstract

This study aims to analyze the connectivity of non-containerized ports, particularly in the sub-commodity of vegetable/animal oils and fats, within the operational area of PT Pelindo Multi Terminal. Using Social Network Analysis (SNA) and Geographic Information System (GIS) techniques, this study builds a network based on nodes (ports) and assesses inter-node connections with metrics such as degree centrality, betweenness centrality, and hub index. Gephi application was used for the calculation of network metrics, while QGIS visualized the shipping routes. The research revealed that high traffic ports such as Belawan, Dumai, and Tanjung Priok play a crucial role in the network. The findings support recommendations for infrastructure development and implementation of an integrated Terminal Operations System (TOS) to improve logistics efficiency.

References

Bratawisnu, M. K., & Alamsyah, A. (2019). Social network analysis untuk analisa interaksi user Di media sosial mengenai bisnis e-Commerce. SOSIOHUMANITAS, 21(1), 63-69. https://doi.org/10.36555/sosiohumanitas.v21i1.1000

Farrell, D., Greig, F., & Hamoudi, A. (2018). The online platform economy in 2018: Drivers, workers, sellers, and lessors. JPMorgan Chase Institute.

Esteve-Pérez, J., & Del Río-González, M. (2022). Assessment of the centrality of the cruise ship navigation networks in Southern Europe through the application of social network analysis. Journal of Marine Science and Engineering, 10(8), 1072. https://doi.org/10.3390/jmse10081072

Freeman, L. C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7

Fugazza, M., & Hoffmann, J. (2017). Liner shipping connectivity as determinant of trade. Journal of Shipping and Trade, 2(1). https://doi.org/10.1186/s41072-017-0019-5

Hidayat, A. R., Alifah, N., Rodiansjah, A. A., & Asikin, M. Z. (2024). Sengketa Laut Cina Selatan: Analisis Realis terhadap Perebutan Kekuasaan, Respon Regional, dan Implikasi Geopolitik. Jurnal Syntax Admiration, 5(2), 568–578.

Jeon, J., Duru, O., & Yeo, G. (2019). Cruise port centrality and spatial patterns of cruise shipping in the Asian market. Maritime Policy and Management, 46(3), 257-276. https://doi.org/10.1080/03088839.2019.1570370

Kurniawan, D. E., & Setiaji, E. I. (2016). Pemetaan Jalur Transportasi bus Umum Kota Batam Menggunakan QuantumGIS Dan Geoserver. Jurnal Nasional Teknologi dan Sistem Informasi, 2(2), 1-8. https://doi.org/10.25077/teknosi.v2i2.2016.1-8

Lopez Rodriguez, U. A., Park, S., Kim, D., & Yeo, G. (2021). A social network analysis of interconnections among cruise ports. The Asian Journal of Shipping and Logistics, 37(2), 174-183. https://doi.org/10.1016/j.ajsl.2021.02.002

Lu, W., Park, S. H., Oh, J. G., & Yeo, G. T. (2018). Network connection strategy for small and medium-sized ports (SMPs). The Asian Journal of Shipping and Logistics, 34(1), 19-26. https://doi.org/10.1016/j.ajsl.2018.03.003

Mallick, P. R. (2017). The potential of Vizhinjam Port as a regional hub: a network analysis: a feasibility analysis from a network perspective [Doctoral dissertation]. https://commons.wmu.se/cgi/viewcontent.cgi?article=1569&context=all_dissertations

Moeis, A. O., Wirawan, N. F., Destyanto, A. R., Setiawan, A. D., Hartoyo Putra, B. H., Yuri Zagloel, T., & Hidayatno, A. (2022). Locating a hub Port in eastern Indonesia using network analytics. Jurnal Penelitian Transportasi Laut, 23(2), 49-54. https://doi.org/10.25104/transla.v23i2.1695

Nguyen, P. N., & Kim, H. (2022). Analyzing the international connectivity of the major container ports in Northeast Asia. Maritime Business Review, 7(4), 332-350. https://doi.org/10.1108/mabr-01-2022-0004

Nguyen, P. N., & Woo, S. (2021). Port connectivity and competition among container ports in Southeast Asia based on social network analysis and TOPSIS. Maritime Policy and Management, 49(6), 779-796. https://doi.org/10.1080/03088839.2021.1908637

Nguyen, T. L., Park, S., & Yeo, G. (2020). An analysis of port networks and improvement strategies for port connections in the Ho Chi Minh area. The Asian Journal of Shipping and Logistics, 36(4), 223-231. https://doi.org/10.1016/j.ajsl.2020.07.001

Park, K. S., Seo, Y. J., & Kim, A. R. (2017). Seaport network based on change of Korean liner service pattern. The Asian Journal of Shipping and Logistics, 33(4), 221-228. https://doi.org/10.1016/j.ajsl.2017.12.005

Sinha, E. (2022). Circular economy—A way forward to sustainable development: Identifying conceptual overlaps and contingency factors at the microlevel. Sustainable Development, 30(4), 771–783.

Saresevia, F. (2021, October 13). Langkah-langkah Utama data Preprocessing. School of Information Systems. https://sis.binus.ac.id/2021/10/13/langkah-langkah-utama-data-preprocessing/

Saylor Academy. (2021, August 5). CS202: Basic graph theory. https://learn.saylor.org/mod/page/view.php?id=27304

The World Bank. (n.d.). Global rankings 2023. Logistics Performance Index. https://lpi.worldbank.org/international/global

UNCTAD. (n.d.). Liner shipping connectivity index, quarterly. UNCTADstat. https://unctadstat.unctad.org/wds/TableViewer/tableView.aspx?ReportId=92

Wanke, P., & Falcão, B. B. (2017). Cargo allocation in Brazilian ports: An analysis through fuzzy logic and social networks. Journal of Transport Geography, 60, 33-46. https://doi.org/10.1016/j.jtrangeo.2017.02.006

Workman, D. (2023). Indonesia’s top exports 2022. World's Top Exports. https://www.worldstopexports.com/indonesias-top-10-exports/

Tran, N.-Q., Nguyen Ngoc, T., Tran, Q., Felipe, A., Huynh, T., Tang, A., & Nguyen, T. (2023). Predicting Agricultural Commodities Prices with Machine Learning: A Review of Current Research.

Vural, C. A., Göçer, A., & Halldórsson, Á. (2019). Value co-creation in maritime logistics networks: A service triad perspective. Transport Policy, 84, 27–39.

Zaman, M. B., Vanany, I., & Awaluddin, K. D. (2015). Connectivity analysis of Port in eastern Indonesia. Procedia Earth and Planetary Science, 14, 118-127. https://doi.org/10.1016/j.proeps.2015.07.092

Downloads

Published

2024-09-26