Classification of Civet and Canephora coffee using Support-Vector Machines (SVM) algorithm based on order-1 feature extraction

Abstract Identification of coffee beans types is a process carried out in determining the category civet and robusta coffee. The selection manually by community variety beans. Manual makes slow. There no certainty whether selected stated original or mixture with Robusta It needs to be built system identifying In this study, classification technology used for Civet This research uses first-order feature extraction Support-Vector Machines (SVM) algorithm, which aims recognize beans’ patterns using texture analysis on grayscale images extraction. authors Rapid Application Development approach build system. data study were 120 images, consisting 110 training 10 test data. accuracy method 87.27%.