ABSTRACT
Determining the capacity for production in agriculture is helpful for farmers’ jobs. Production may be predicted based on harvest areas and people’s consumption needs. With a soft computing method, we may obtain the right production optimization by employing the fuzzy EAS method, a combination of fuzzy logic and genetics used to improve performance based on the mutations generated from the fuzzy evolution (Fuzzy EAS) algorithm. The number of production is 187,992 while the number of consumption is 2,012,712. In this case, these numbers were utilized to determine the optimal number of production solutions. The data used in this study showed that production from 2010 to 2015 experienced many imbalances in terms of soybean stock production, and 83% of genetic mutations were discovered from this study. The scope of this research was Central Java, Indonesia, with the aim of optimizing soybean production and consumption for the next generation.
