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All Journal Jurnal Komputer Terapan
Monica Rizki Ayustin
STMIK Global Informatika MDP
Computer Science & IT

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Klasifikasi Jenis Kacang-Kacangan Berdasarkan Tekstur Menggunakan Jaringan Syaraf Tiruan Muhammad Ezar Al Rivan; Nur Rachmat; Monica Rizki Ayustin
Jurnal Komputer Terapan  Vol. 6 No. 1 (2020): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.138 KB) | DOI: 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.
Co-Authors M Ezar Al Rivan Nur Rachmat