LAUSR

Recent advances in the development of information technology and the rapid use of decision support systems play significant roles in various fields, including the fisheries sector. Fishery-based activity for small island regions created more complicated problems that limited marine resources and high production costs. Thus, the need to develop efficient and effective tools for interconnecting supply and production becomes more crucial than ever to help local coastal communities. This study aimed to designs a web-based DSS for a sustainable supply chain of sectors in Southeast Maluku Regency, Indonesia (SIRIPIKAN). Firstly, we crafted the DSS framework to identify the fishing, supplier, and seller locations. Secondly, we measured the level of sustainability of marine resources. Thirdly, the web-based DSS can help local coastal communities increase managers' capability and ability in the fisheries-related business activity carried out. SIRIPIKAN aims to increase the profitability of fisheries business activities in coastal communities and preserve marine resources. This research combined the data mining activities with spatial analysis to obtain the cluster support map and MSY to measure sustainability and feasibility study as an approach for the development of the system. The model provides an integrated sustainable production with users' input used to optimize the decision-making process of profitability and sustainability in existing marine resources.