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Submitted
12 March 2020
Accepted
3 July 2020
Published
31 May 2020
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Abstract

Classification of types of beans is done on red beans, green beans, and peanuts. Texture features are obtained using the Gray Level Co-occurrence Matrix (GLCM) algorithm. The algorithm used to do the classification is Artificial Neural Networks (ANN). Experiments carried out with 3 different numbers of neurons in the hidden layer. Also, there are 17 types of training functions used. Each experiment scenario was repeated 5 times. Based on the experimental scenario, the best results are 99.8% for accuracy, 99.6% for precision and 99.8% for recall using 20 neurons in the hidden layer.

Keywords

Classification GLCM ANN Klasifikasi GLCM JST

Article Details

How to Cite
Al Rivan, M. E., Rachmat, N., & Ayustin, M. R. (2020). Klasifikasi Jenis Kacang-Kacangan Berdasarkan Tekstur Menggunakan Jaringan Syaraf Tiruan. Jurnal Komputer Terapan, 6(1), 89–98. https://doi.org/10.35143/jkt.v6i1.3546
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