IDENTIFIKASI NOMINAL MATA UANG KERTAS DENGAN JARINGAN SYARAF TIRUAN MENGGUNAKAN METODELOGI BACKPROPAGATION

PERLYANZA, RENDIKA and Firdaus, Firdaus and Siswanti, Sri Desy (2018) IDENTIFIKASI NOMINAL MATA UANG KERTAS DENGAN JARINGAN SYARAF TIRUAN MENGGUNAKAN METODELOGI BACKPROPAGATION. Undergraduate thesis, Sriwijaya University.

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Abstract

In this final project identification paper currency designed to recognize the character of paper currencies rupiah. Method of Optical Character Recognition was used as the introduction of nominal money and Neural Network Backpropagation in comparison to find out the accuracy of any of the characters in the know by OCR. This identification divice using usb camera as image capture and processed using matlab software. The final project was performed with 10 times the experiment, each experiment is performed with a different paper currencies ranging from a thousand rupiah to one hundred thousand rupiah, total testing 70 times. The average level of accuracy using 95% optical character recognition and neural network Backpropagation 97%.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: ANN, Threshold, OCR, Backpropagation, Digital Imagery
Subjects: Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.E94 Computer system performance. Computer Communication Networks. Computer science. Logic design. Operating systems (Computers).
Divisions: Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User: Mrs Sri Astuti
Date Deposited: 20 Sep 2019 03:11
Last Modified: 20 Sep 2019 03:11
URI: http://repository.unsri.ac.id/id/eprint/8187

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