The Use of Simple Neural Algorithm in Classifying Single Toraja Coffee Beans

Abstract

One of the well-known plant commodities in Tana Toraja Regency is coffee. Gandangbatu Sillanan is one of the areas that produce coffee at large capacity every year. Even the livelihoods of these residents are generally coffee farming and coffee plantations. Coffee is a popular beverage since it offers pleasure and health advantages. In addition to the taste of coffee, the other attraction related to coffee is the selling value which tends to increase. One type of coffee that has a relatively high selling value is single coffee or Lanang coffee (monocot). This type of coffee is obtained from sorting coffee beans after going through the process of peeling and drying. However, farmers still manually sort coffee beans, which is time-consuming. In this study, researchers identified the type of Lanang coffee using Neural Network software. The results showed that the shape of Toraja Lanang coffee beans could be identified using the Neural Network, where the physical form of Lanang coffee, both Arabica and robusta types, had a different shape from dicotyledonous coffee beans.