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ABSTRAK Vatresya Vanya Rivensy
Terbatas  Irwan Sofiyan
» Gedung UPT Perpustakaan

At the core of every air transportation system lies a complex network of airports collectively known as the air transportation network (ATN). Within this system, the active exchange of flights between various airport origins and destinations forms a network of routes. These routes can be enriched with essential details, including how often flights happen, how many passengers they carry, and more. This fundamental structure becomes even more important when considering the crucial role of the air transport network (ATN) in enabling the movement of people and goods within a country. This significance is particularly notable in countries like Indonesia, characterized by numerous islands where efficient connections become a foundation for smooth mobility. Considering the significance of the air transportation network (ATN) in Indonesia, an in-depth analysis of Indonesian airport connectivity is crucial to understanding its topology structure and characteristics. This includes understanding the connections between various regional and hub airports, identifying key airport hubs within multiple regions in Indonesia, and exploring other aspects. The analysis in this study will be achieved through a complex network approach followed by the calculation using network topology metrics, including the metrics for nodes’ centrality, network structure, and the correlation between the metrics. The Indonesian Air Transport Network (IATN) analysis unveils characteristics of a small-world network, evidenced by an average path length of 3 and a clustering coefficient of 0.484, which align with patterns observed in other countries’ air transportation networks. The analysis also reveals that the network's cumulative degree distribution adheres to a truncated-power law function, indicating the presence of hubs, akin to the scenario in India. Moreover, the IATN follows a disassortative mixing pattern in its degree correlation, distinguishing it from the Worldwide Airport Network (WAN) while drawing parallels with the airport networks of China, India, and Australia.