| dc.description.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. | id |
