Convolutional Neural Network untuk Metode Klasifikasi Multi-Label pada Motif Batik
DOI:
https://doi.org/10.33633/tc.v20i1.4224Keywords:
klasifikasi multi-label, convolutional neural network, pengolahan citra, motif batikAbstract
Salah satu warisan budaya Indonesia yang diakui dunia adalah kain batik. Beragamnya motif batik di Indonesia membuat masyarakat awam sulit membedakan motif-motif yang ada. Penelitian ini menggunakan convolutional neural network (CNN) dalam melakukan klasifikasi multi-label citra motif batik. CNN merupakan salah satu algoritma deep learning pengembangan multi-layer perceptron (MLP) yang telah banyak digunakan dalam klasifikasi data, khususnya klasifikasi citra. Hasil penelitian menunjukkan akurasi penggunaan arsitektur CNN dalam melakukan klasifikasi multi-label pada 15 motif batik mencapai 91.41% dengan penggunaan epoch 100.References
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