Klasifikasi Belimbing Menggunakan Naïve Bayes Berdasarkan Fitur Warna RGB
Abstract: Post harvest issues
on star fruit are produced on a large scale or industry is sorting. Currently,
star fruit classified by rind color analysis visually human eye. This method
does not effective and inefficient. The research aims to classify the starfruit
sweetness level by using image processing techniques. Features extraction used
is the value of Red, Green and Blue (RGB) to obtain the characteristics of the
color image. Then the feature extraction results used to classify the star
fruit with Naïve Bayes method. Starfruit image data used 120 consisting of 90
training data and 30 testing data. The results showed the classification
accuracy using RGB feature extraction by 80%. The use of RGB as the color
feature extraction can not be used entirely as a feature of the image
extraction of star fruit.
Penulis: Fuzy Yustika Manik
Kode Jurnal: jptinformatikadd170065
