2025 Volume 16 Article ID: PP3989
One of the main essential points in the Indonesian Maritime policy is focusing on maritime connectivity and integrated port infrastructure in the archipelago area. The Indonesian government has tried to prioritize the island's cluster development to support economic growth. Firstly, this research applied Social Network Analysis to evaluate the existing connectivity by considering the port distribution and passenger shipping network, the aims is to show the unconnected port location and illustrate the level of connectivity in Maluku archipelago area. Then, identifying the correlation between sea transportation and economics using the integrated statistical approached, starting with the Granger Causality Test to assess the predictive causality between these two variables, and the Multiple Linear Regression as the core method to quantify the simultaneous effect of sea transportation variables, including connectivity index, cargo volume, and total passenger, on GDP. Overall evaluation show many areas still have predicted in categories of independent causality, which means the variables such as GDP, cargo volume, and total passengers are not dependent on each other. The passenger mobility has a critical role in driving economic development, while cargo activity is not optimal for economic growth in Maluku. This finding implies that further development needs more concern for the cargo activity. The evaluation of the current-based connectivity level in the local and regional areas of Maluku can also be used as a credential implication for developing regional maritime connectivity in other archipelago regions.
