Rice Planting Decision Support System Using the Fuzzy Simple Additive Weighting (SAW) Method

Abstract

In the era of evolution 4.0 currently has very rapid technological advances. This technological advancement is very useful in several sectors including the agricultural sector. The agricultural sector in Indonesia is the most superior sector because it is the livelihood of the population in Indonesia as farmers. Human resources are important to improve the social or economic quality in society. Gadingsari Village is one of 4 villages in the Sanden sub-district which is located in the westernmost area which has potential in the agricultural sector. Most residents of Gadingsari village depend on work as farmers. Therefore, it can be said that the agricultural sector has a major role in the economy and welfare of the people of Gadingsari village. Using the FSAW method, it can assist in determining quality yields. This study aims to analyze rice cultivation in Gadingsari village which can help local communities to find out information about planting rice correctly and can produce quality rice. The result of this research is a website to analyze the best rice yields with the criteria of rice varieties, rice seeds, planting, fertilizers, harvesting age, and pests.