Judul: Spatial Based Decision Support System Model in the Supply Chain of Pangasius.sp Agroindustry in West Java.
Abstrak: Pangasius sp is a freshwater fish commodity that has great potential to be developed and has a high selling price. This is what causes Pangasius sp to receive attention and interest from entrepreneurs to cultivate it. Pangasius fish can be kept in stagnant water conditions and within 6 months of maintenance can reach a length of 35-40 cm. The supply chain encompasses a sequence of operations that encompass the transportation and conversion of primary resources into finalized goods, alongside the dissemination of said goods to ultimate consumers. The supply chain plays a pivotal role in ensuring the uninterrupted operations of businesses and industries, thereby exerting a significant impact on both individual companies and the overall economy. In order to address the intricacies and difficulties associated with these complexities and challenges, it is imperative to establish a proficient decision-making framework for the purpose of effectively managing the supply chain. Supply chain decision-making systems encompass a methodology that relies on data and information technology, integrating analysis, modeling, and real-time information to support decision makers in the optimization of supply chain operations. The utilization of spatial-based decision-making systems holds significance and relevance in addressing the challenges encountered in the catfish agro-industry. Spatial-based decision-making systems utilize geographic information system (GIS) and spatial analysis to aid stakeholders in optimizing supply chain processes, identifying prospective locations, comprehending market demand patterns, and enhancing resource management efficiency. The rapid growth of internet users in Indonesia has influenced various industrial sectors to take advantage of the "information revolution" provided by the internet, including the agribusiness sector. One of the uniqueness of Pangasius.sp is that the fish has a different texture, color and taste from each different region, depending on where the fish is produced. This can be an advantage or a disadvantage, depending on the business strategy to be decided. Traceability is one way to provide more transparency, and it is argued that by increasing transparency production issues in the supply chain can be better mapped and understood, ultimately helping to increase the environmental and social impacts of the supply chain. Consumers are increasingly interested in knowing where and how the ingredients they consume are extracted and produced. Decision makers in the Fisheries and Aquaculture Industry are a matter of complex decisions from day to day. Systems designed to enable decision makers to make informed decisions in dealing with complex problems are called Decision Support Systems (DSS). DSS try to combine domain and technical knowledge and package it in a way that is of practical use to non-scientists. The purpose of this study was to design a spatial-based Decision Support System model in the logistics of Pangasius.sp agro-industry. In designing this main model, supporting models were developed as sub-objectives to support the main objectives of this research, namely: 1) designing a supply chain performance improvement strategy model in Pangasius.sp agro-industry, 2) designing a strategy model for Pangasius.sp agro-industry derivative products, 3) designing a spatial-based information system model for the traceability of Pangasius.sp processing industry products, and 4) designing a spatial-based locating model for patin fish processing units. This research analyzes the
Keyword: agroindustry ikan patin, sistem pendukung keputusan, spasial, decision support system, Pangasius sp agro-industry, spatial, supply chain performance