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All Journal KALBISIANA Jurnal Sains, Bisnis dan Teknologi
I Made Gede Indra Mahendra
Institut Teknologi dan Bisnis Kalbis
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Social Sciences

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Pengembangan Model Pembelajaran Mesin Untuk Mengidentifikasi Nominal Uang Kertas Rupiah Menggunakan Algoritma CNN Dengan Library Keras I Made Gede Indra Mahendra
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This study develops application to identify the value of rupiah banknotes. The rupiah banknotes used are the 2009 and 2016 issuances. The purpose of this study is to produce a machine learning model that can be used as a basis for identifying the value of rupiah banknotes and creating a GUI to be able to use its functions easily. The method used in this study is the Convolutional Neural Network. The results obtained are models that have a final value of training loss = 7%, training accuracy = 98%, validation loss = 33%, and validation accuracy = 93%. The finished model has also been tested and can identify new image data.
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