<![CDATA[This study aims to understand the selection of the best quality Nile tilapia seeds using a Decision Support System (DSS) with the Weighted Product (WP) method at Tambak Nagari. The research employed two approaches: manual calculations and a system based on Visual Basic.NET. The results showed that the Visual Basic.NET-based system significantly facilitates decision-making, accelerates the process, and minimizes human error compared to manual methods. This system enables users to easily identify the best Nile tilapia seeds based on criteria such as growth rate, disease resistance, and feed efficiency. However, the system requires regular updates to enhance its reliability and flexibility, particularly in handling large-scale data and adding new criteria. The integration of this technology makes the seed selection process more efficient and objective, supporting the sustainability of Nila Fish farming and marking an important step toward digital transformation in the fisheries sector.]]>
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