The Identification of Typologies and Levels Utilization of Non-Commercial Ports in Indonesia Using the Machine Learning Method

The Unitary State of the Republic of Indonesia (NKRI) is the most prominent nation with an archipelago.Indonesia has an area of 8,300,000 km 2 , with 16,056 islands registered.Indonesia's coastline reaches 108,000 km 2 , the second longest in the world.According to that, Indonesia needs well-developed and efficiently managed seaports.The number of seaports, according to the National Port Master Plan, is 636 Ports, of which the government operates 566 Ports as public ports (Non-Commercial Ports).The utilization of this port is shallow because an adequate market or hinterland does not support it.Non-commercial ports managed by the government must innovate to finance port operations and maintenance of port facilities.Innovations and breakthroughs can be made by improving port governance and optimizing the port service business.Improving port business processes to increase the optimization and utilization of ports requires port development strategies that must be formulated precisely.Port development strategies involve the identification of typologies and mapping the level of utilization of non-commercial ports based on typologies; This study uses machine learning methods to answer research objectives.