Implementasi Metode Fuzzy Tsukamoto Untuk Pendeteksian Varitas Unggul Pada Tanaman Jagung

Abstract

Zea mays or corn is one of the carbohydrate-producing plants that most Indonesian people consume as a staple food. Based on data from the agriculture ministry in 2016, corn production in Indonesia, during the last 5 years, corn production has increased by 14% to reach 28.9 million tons per year. Increased corn production in Indonesia will be highly proportional to the increase in food yields and Indonesia's national income. Based on the above problems, the question in this study is how to implement the Tsukamoto method to determine the superior variety of corn. One method that can select and differentiate varieties of corn is the Tsukamoto method. This method can recommend the best varieties among several other good varieties.

Keywords: Corn, Tsukamoto Method, Decission Support Systems.