Abstract
The initial stage in rice farming is the selection of rice seeds. To ensure a decent crop, seed selection must be taken into account. A decision support system may be a solution to this issue since the selection of the best rice seeds includes numerous elements connected to the considerations and preferences of each farmer group region. In this research, eight criteria were utilized to choose rice seeds: seed purity and uniformity, disease and pest resistance, agronomic traits, maturation and growth duration, environmental adaptability, farmer feedback and performance, yield potential, and grain quality. The weighting techniques utilized in this research are an arrangement of the Analytical Hierarchy Process and the Profile Matching Algorithm. When compared to expert judgements, the outcomes of this method's recommendations have a low error rate, with a MAPE value of 6.5%.
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