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All Journal Dinamisia: Jurnal Pengabdian Kepada Masyarakat IJID (International Journal on Informatics for Development) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Proceeding Biology Education Conference Jurnal Ilmiah Arsitektur
Dewanto Harjunowibowo
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Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Other

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Journal : IJID (International Journal on Informatics for Development)

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A Counterfeit Paper Currency Recognition System Using LVQ based on UV Light Dewanto Harjunowibowo; Sri Hartati; Aris Budianto
IJID (International Journal on Informatics for Development) Vol. 1 No. 2 (2012): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (870.108 KB) | DOI: 10.14421/ijid.2012.01202

Abstract

This research is aimed to test a paper currency counterfeit detection system based on Linear Vector Quantization (LVQ) Neural Network. The input image of the system is the dancer object image of? paper currency Rp. 50.000,-? fluorescent by ultraviolet light. The image of paper currency data was taken from conventional banks. The LVQ method is used to recognize whether the paper currency being tested is counterfeit or not. The coding was carried out using visual programming language. The? feature size of the dancer tested object is 114x90 px and the RGBHSI was extracted as the input for LVQ. The experimental results show that the system has an accuracy 100% of detecting 20 real test case data, and 96% of detecting 22 simulated test case data. The simulated case data was generated by varying the brightness of the? image data. The real test case data contains of 10 counterfeit paper currency and 10 original paper currency. The simulated case data contains of 11 original paper currency and 11 counterfeit paper currency. The best setting for the system is? Learning Rate = 0.01 and MaxEpoh = 10.
Co-Authors Aris Budianto Bagus Prayoga Fernando Raja Monang Ivanka Fajar Maulana Kamaruddin, Maqbul Kiranda Dinata Nandita Datta Pradipta Nofri Sumedi Jaya Salmaa Anisah Rodhiyah Samsiatun Zuhro Sri Hartati Triana Sefia Afiani Wari Pawestri Widi Dwi Satria Yohanes Glen Owen Yuli Yanti