- Pengolahan Citra Digital Pada Buah Nanas Menggunakan Metode Linear Discriminant Analisys (LDA)

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Abstract

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