Indonesia, as an archipelago country, is highly dependent on air cargo. One of Indonesia's main export products that are transported using air cargo is marine products. This product has to be transported using air cargo because of its perishability. Unlike the rest of the world, very few airlines use freighter aircraft for their cargo business in Indonesia. So that cargo will always be the second priority after the passengers. Because of the complexity of air transportation, cargo will be the first thing to be sacrificed if excess capacity occurs during a flight. This study uses simple linear regression analysis with SPSS to create a model to help airlines preserve their marine product shipment capacity. The price per kilogram per kilometer is used as the independent variable. The R-Squared value showed that this variable is a good determinant for the weight of marine product shipment. The model can help an airline forecast the capacity needed for marine cargo shipment from Indonesia. It can reduce delays in the delivery of goods that will damage the products and loss of consumer trust.