Identifikasi Daun Tanaman Jati Menggunakan K-Nearest Neighbour dengan Ekstraksi Fitur Ciri Morfologi Daun

Abstract

The ability of teak plantation to adapt in tropical climate makes this plantation grows well in Indonesia. Teak plantation belongs to Lamiacae and it has a high economic value. The existence of various teak varietas becomes a challenge in teak identification. This research developed a teak identification system using its leaf morphology feature extraction. K-nearest neighbor (KNN) was used as the classification method. Six teak varieties were used as the data. The testing data and training data were divided by k-fold cross validation with k=5. The best average accuracy was 73.33%.