This paper focused on the selection of suitable location for the information centre for seaweed farming in Southeast Maluku district, Indonesia. | GIS-Based multi-criteria decision making model for site selection of seaweed farming information centre A lesson from small islands Indonesia Decision Science Letters 8 2019 137 150 Contents lists available at GrowingScience Decision Science Letters homepage dsl GIS-Based multi-criteria decision making model for site selection of seaweed farming information centre A lesson from small islands Indonesia Wellem Anselmus Teniwuta Mariminb and Taufik Djatnab aFisheries Agribusiness Study Program Tual State Fisheries Polytechnic Langgur Southeast Maluku Indonesia bDepartment of Agroindustrial Technology Faculty of Agricultural Technology Bogor Agricultural University Bogor West Java Indonesia CHRONICLE ABSTRACT Article history Seaweed had proven to become a fisheries commodity to provide a significant multiplier Received July 3 2018 economic effect for coastal community in Southeast Maluku District during 2005-2013. Received in revised format However the declining on the productivity of seaweed has given a direct impact on welfare of July 10 2018 farmers and coastal communities in this region during the recent years due to asymmetric Accepted August 2 2018 Available online information on seaweed farming associated with prices latest technology and all pre and post August 2 2018 production activities. Thus forming a dedicated information centre for seaweed farming in the Keywords region has become a necessity. As small island regions in Southeast Maluku district farmers Seaweed farming and all stakeholder have to deal with cliché problems such as insufficient infrastructure lack of Small islands transportation farmers locations that spread across the islands. This paper focused on the Information centre selection of suitable location for the information centre for seaweed farming in Southeast Maluku Site selection district Indonesia. Analytical hierarchy process AHP in classical and fuzzy forms was an GIS-MCDM approach used on this study for .
