Implementasi Metode Linear Discriminant Analysis (LDA) Pada Klasifikasi Tingkat Kematangan Buah Nanas

Pineapple is a fruit commodity that Indonesia's flagship. This because pineapple has the highest export volume in Indonesia. To obtain pineapples with perfect ripeness, generally manually selected, this becomes inefficient if large numbers of are selected. So, study, an image processing system will be developed can classify ripeness based on its image. In color feature extraction used hue and saturation values. Color to various information from colors so as facilitate identification process. Furthermore, Linear Discriminator Analysis optimal projections able enter spaces smaller dimensions by performing pattern recognition separated they grouped boundary lines obtained linear equations. Based results accuracy test, rate reaches 83%, it good category