Comparison study of SMART and AHP method for paddy fertilizer recommendation in decision support system

Abstract

Decision support systems are used as evidence-based decision-making tools in agriculture to provide relevant information. The implementation is to recommend the provision of fertilizer for rice plants, to support plant growth based on location specifics. This study aims to analyze the final results of two SMART and AHP methods by comparing the final results in evaluating the best alternatives. The criteria analyzed are; location, the yield of rice productivity, Leaf Color, Planting Season, Nutrient Status of P, nutrient status of K soil, Fertilizer Cage, Organic Straw Material, Use of Compost Fertilizer. For alternative solutions in the form of rice fertilizer dosage N, P, K. The results of the analysis of the two methods show that both have similarities in determining location-specific rice fertilizer recommendations, which are measured by comparing alternative final results of the two methods with recommendations from experts. Tests were carried out in ten cases with different locations. The accuracy of the two methods was 70%.