Indonesia is a maritime country where 2/3 of Indonesia consists of oceans. The condition should make Indonesia as the largest exporting country in the ocean sector. But the reality is that the export volume of the sector is the lowest compared to other commodities. This is certainly detrimental to Indonesia whereas the index of selling price of fisheries sector's production is the highest compared to other sectors. The maritime sector should be the axis of the State's economy. Therefore, fish export activities should be optimized. One way that can be done by knowing the factors that may affect fish exports as well as cost estimates to maximize these factors. To know the factors that influence fish export can be done by mapping cold supply chain. After knowing what factors affect the export of fish, then the priority sequence of these factors is needed. The goal is that actions can be more focused. One method that can be used is ANP (Analytical Network Process). ANP is the most suitable approach because it takes into account feedback between factors. Based on the results obtained is known that the factors that have the highest urgency is the equipment, policies, quality, quantity and price. From the ANP results, these factors should be maximized. To maximize these factors requires cost. Cost efficient planning will increase profits. Therefore cost estimation is required to maximize these factors. One of them with goal programming method (GP) where this method aims to provide estimates of costs to be incurred by each actor in fish export activities. Estimated costs to be incurred by each actor namely the fisherman of Rp 1,060,120,000, the port of Rp 658,458,700 and the company of Rp 657,224,000 |