ILKOM Jurnal Ilmiah
Vol 14, No 3 (2022)

Classification of Lombok Pearls using GLCM Feature Extraction and Artificial Neural Networks (ANN)

Muh Nasirudin Karim (Universitas Dian Nuswantoro)
Ricardus Anggi Pramunendar (Universitas Dian Nuswantoro)
Moch Arief Soeleman (Universitas Dian Nuswantoro)
Purwanto Purwanto (Universitas Dian Nuswantoro)
Bahtiar Imran (Universitas Teknologi Mataram)



Article Info

Publish Date
19 Dec 2022

Abstract

This study used the second-order Gray Level Co-occurrence Matrix (GLCM) and pearl image classification using the Artificial Neural Network (ANN). No previous research combines the GLCM method with artificial neural networks in pearl image classification. The number of images used in this study is 360 images with three labels, including 120 A images, 120 AA images, and 120 AAA images. The epochs used in this study were 10, 20, 30, 40, 50, 60, 70, and 80. The test results at epoch 10 got 80.00% accuracy, epoch 20 got 90.00% accuracy, epoch 30 got 93.33% accuracy, and epoch 40 got 94.44% accuracy. In comparison, epoch 50 got 95.55% accuracy, epoch 60 got 96.66% accuracy, epoch 70 got 96.66% accuracy, and epoch 80 got 95.55% accuracy. The combination of the proposed methods can produce accuracy in classifying pearl images, such as the classification test results.

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Journal Info

Abbrev

ILKOM

Publisher

Subject

Computer Science & IT

Description

ILKOM Jurnal Ilmiah is an Indonesian scientific journal published by the Department of Information Technology, Faculty of Computer Science, Universitas Muslim Indonesia. ILKOM Jurnal Ilmiah covers all aspects of the latest outstanding research and developments in the field of Computer science, ...