Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 6 (2018): Juni 2018

Implementasi Metode RGB To HSV pada Aplikasi Pengenalan Mata Uang Kertas Berbasis Android untuk Tuna Netra

Julian Fuad Fauzi (Fakultas Ilmu Komputer, Universitas Brawijaya)
Herman Tolle (Fakultas Ilmu Komputer, Universitas Brawijaya)
Ratih Kartika Dewi (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
13 Sep 2017

Abstract

HSV Digital Imagery defines colors in Hue terminology (Color Actually), Saturation (Color Purity) and Value (Color Brightness) The advantage of HSV is that there are the same colors as those captured by the human senses. While the color of other models such as RGB formed a mixture of primary colors. Applications of mobile paper based paper detection Android, so users can easily run this application anywhere and anytime with mobile users. This is where the discussion is about building an app for a currency value detection system that blind users can use to detect the value of a paper currency. Detection is performed on Indonesian banknotes of 1000, 2000,, 5000, 10000, 20000, 50000, and 100000. The system gives a sound output conclusion in Bahasa Indonesia about the value of banknotes Digital image using RGB2HSV method can run well and able to classify in accordance with the results of design and in testing the test data obtained the conclusion that the RGB2HSV method can provide information about the distance of the image with the accuration rate of 87%, precision of 89%, and the recall of 94%.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...