Bulletin of Computer Science Research
Vol. 3 No. 3 (2023): April 2023

Optimasi Algoritma Nai?ve Bayes Untuk Klasifikasi Buah Apel Berdasarkan Fitur Warna RGB

M Afriansyah (Universitas Qamarul Huda Badaruddin, Lombok Tengah)
Joni Saputra (Universitas Qamarul Huda Badaruddin, Lombok Tengah)
Yuan Sa’adati (Universitas Qamarul Huda Badaruddin, Lombok Tengah)
Valian Yoga Pudya Ardhana (Universitas Qamarul Huda Badaruddin, Lombok Tengah)



Article Info

Publish Date
30 Apr 2023

Abstract

Apples are one type of fruit that is increasingly popular in Indonesia. This fruit is not only popular because it tastes good, but is also rich in nutrients and fiber which are beneficial for the health of the body. Along with the development of the agricultural industry in Indonesia, domestic apple production is also increasing. This study aims to classify types of apples based on RGB color using research methods that include apple image data collection, RGB feature extraction, data division with k-fold cross validation, classification model with Naive Bayes. This method utilizes color features taken from apple images as input to determine the appropriate class or type of apple. The test results show that the accuracy for the sweet level has a value of 100%, for the medium level it has a value of 86.66% and for sour it has a value of 80%. The average accuracy of the Naïve Bayes method is 88.88%. Classification results using the Naïve Bayes algorithm.

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Journal Info

Abbrev

bulletincsr

Publisher

Subject

Computer Science & IT

Description

Bulletin of Computer Science Research covers the whole spectrum of Computer Science, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer ...