IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Vol 11, No 1 (2017): January

Klasifikasi Belimbing Menggunakan Naïve Bayes Berdasarkan Fitur Warna RGB

Fuzy Yustika Manik (STMIK Kaputama, Binjai)
Kana Saputra Saragih (Universitas Pembangunan Panca Budi Medan)



Article Info

Publish Date
31 Jan 2017

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.

Copyrights © 2017






Journal Info

Abbrev

ijccs

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

Indonesian Journal of Computing and Cybernetics Systems (IJCCS), a two times annually provides a forum for the full range of scholarly study . IJCCS focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and eveolutionary computation, so ...