Journal of Intelligent Software Systems
Vol 2, No 1 (2023): July

Mushroom Image Classification Using C4.5 Algorithm

Cucut Hariz Pratomo (Informatics, Universitas Muhammadiyah Karanganyar)
Widyastuti Andriyani (Master of Information Technology, Universitas Teknologi Digital Indonesia)



Article Info

Publish Date
14 Jul 2023

Abstract

This study applied five types of Mushrooms, they are Button mushrooms, Wood Ear mushrooms, Straw mushrooms, Reishi mushrooms and Red Oyster mushrooms. The feature extraction used is Order 1 with the parameters of mean, skewness, variance, kurtosis, and entropy. The process carried out to identify mushroom images by preparing image objects. There were 15 images of each mushroom class were taken for each mushroom and stored in .jpg format. The image processing is carried out by a feature extraction process. Then five images for each mushroom class are chosen. They were used as test images which will be classified so that identification results are obtained. This study applies the Classification Algorithm C4.5 to build a decision tree, which will also identify the results of the accuracy of processed mushroom images. The obtained result of accuracy was 84% in the classification of feature extraction Order 1

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Journal Info

Abbrev

JISS

Publisher

Subject

Computer Science & IT

Description

Journal of Intelligent Software Systems (JISS) is open access, peer-reviewed international journal that will consider any original scientific article that expands the field of Intelligent Software Systems. The journal publishes articles in all Intelligent Software Systems specialities of interest to ...