Sistem Pendukung Keputusan Peningkatan Produktivitas Berkelanjutan pada Manajemen Rantai Pasok Agroindustri Perikanan

Abstract

The objective of this research was to develop a decision support system for increasing Sustainable productivity on fishery agroindustry supply chain management that provides information and decision alternative to all stakeholders related to catch, effort, added value, agroindustry performance and sustainable fishery in Southeast Maluku District. Stock prediction model measure Value of CMsy and Emsy with equilibrium Schaefer as indicator of surplus production. Added value analysis model use to measure added value with profit margin. Agroindustry performance analysis model use to measure performance of Agroindustry with Balanced Scorecard (BSC) method, terperrate vision and company strategy into four different perspectives, financial, customer, internal Business process, and learning and growth. Sustainable model analysis with MDS method (Multidimensional Scaling). Stock prediction model showed that catch and effort in Southeast Maluku District still below sustainable maximum level. Added value analysis model the result showed that the added value is very low. Analysis agroindustry performance model there sult showed that financial perspective has greatest achievement performance index Sustainability model used to calculate the level of sustainability off isheries in South east Maluku District measured the dimensions of the three- dimensional ecological, social, and economic. MDS results showed that all the dimensions included in the category of less sustainable. The main conclusion of this research is provide information to the agroindustry fishery supply chain actors related catch and effort. added, agroindustry performance, and sustainability fishery in Southeast Maluku District.