Identifikasi Daun Shorea menggunakan KNN dengan Ekstraksi Fitur 2DPCA

Abstract

Shorea is a kind of meranti species that have high economic value. Shorea belongs to Dipterocarpaceae family which has 194 species that usually grow in tropical area. Shorea is difficult to be identified due to their similarity. The method used in this research is 2 Dimensional Principal Component Analysis as feature extraction and K-Nearest Neighbour as classification technique. This research has four trials that were divided into R, G, B, and grayscale components. The best average accuracy obtained was 75% on a G component with 85% contribution of eigen values.