Penerapan Multi-Attribute Decision Making Menggunakan Metode WASPAS Pada Pemilihan Benih Sayuran

Optimizing the use of home yards is one efforts to improve food security in agriculture through vegetable cultivation. The number seed products causes someone who will buy seeds first seek information about each seed, thus taking a long time make decision. This study aims implement Multi-Attribute Decision Making (MADM) approach with Aggregated Sum Product Assessment (WASPAS) on selection decision support system, order obtain best alternative that suits your needs. WASPAS method has ability solve multi-attribute by optimizing assessment for selecting highest and lowest values ​​in obtaining alternative. Based case studies conducted, was able determine results, namely Known You Seed Brokoli F1 (A2) Qi value 0.7854, then followed an Infarm Benih Kangkung (A1) 0, 7710, Daily Farm Sawi Putih (A3) 0.7330, Mira Mentimun Hibrida (A4) 0.7225 Benihpedia Daun Bawang (A5) 0.5992. developed system produces valid method, because results are no different from manual calculations. In addition, black-box testing show been running well.