Klasifikasi Jenis Kacang-Kacangan Berdasarkan Tekstur Menggunakan Jaringan Syaraf Tiruan
PDF (Bahasa Indonesia)

Keywords

Classification
GLCM
ANN

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

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.
https://doi.org/10.35143/jkt.v6i1.3546
PDF (Bahasa Indonesia)

References

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