CD Skripsi

DETEKSI NOMINAL UANG KERTAS RUPIAH DENGAN OUTPUT AUDIO MENGGUNAKAN METODE TRANSFER LEARNING MOBILENETV2

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Banknotes are a form of currency that is widely used around the world. Banknotes
have become a tool used by people around the world, including by blind people. At
this time, blind people are still very dependent on others in recognizing the nominal
rupiah banknotes. One of the efforts that can help the blind is the creation of a
machine learning model that can recognize the nominal rupiah banknotes. This
research uses the pre-trained MobileNetV2 model as the basis for learning to create
a model that can detect the nominal rupiah banknotes. The dataset used consists of
1,400 images of rupiah banknotes which are divided into 80% for training data and
20% for testing data. Evaluation of the model using confusion matrix resulted in a
model accuracy of 99.2%.
Keywords: Banknotes, Pre-trained Model, Visually Impaired, MobileNetV2

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2007113764

Penerbit

Pekanbaru : Universitas Riau - F. Teknik - Teknik Elektro., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2007113764

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

GUNTUR

Versi lain/terkait

Lampiran Berkas

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