Aplikasi pendeteksi warna bagi penderita buta warna berbasis android berdasarkan model warna hsv, cmyk, rgb

Wonosardono, Amelia (2015) Aplikasi pendeteksi warna bagi penderita buta warna berbasis android berdasarkan model warna hsv, cmyk, rgb. Bachelor Thesis thesis, Universitas Multimedia Nusantara.

Preview	Text HALAMAN AWAL.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (763kB) | Preview
Preview	Text BAB I.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (1MB) | Preview
Preview	Text BAB II.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (960kB) | Preview
Preview	Text BAB III.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (803kB) | Preview
	Text BAB IV.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial Share Alike. Download (1MB)
Preview	Text BAB V.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (670kB) | Preview
Preview	Text DAFTAR PUSTAKA.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (737kB) | Preview
	Text LAMPIRAN.pdf Restricted to Registered users only Available under License Creative Commons Attribution Non-commercial Share Alike. Download (1MB)

Abstract

Adanya aplikasi pendeteksi warna tentu akan mempermudah kehidupan para penderita buta warna dan juga mereka yang baru dapat melihat kembali, untuk lebih mengenal warna-warna yang ada dilingkungannya. Dipilihnya sistem operasi Android karena sebanyaknya 80% pengguna ponsel pintar memilih sistem operasi ini dibandingkan dengan Apple, Blackberry, dan lain-lain. Aplikasi juga dapat membantu mereka yang melakukan penelitian tentang warna untuk melihat komposisi warna tersebut dalam model warna RGB, HSV dan CMYK.

Item Type:	Thesis (Bachelor Thesis)
Subjects:	000 Computer Science, Information and General Works 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 004 Computer Science, Data Processing, Hardware
Divisions:	Faculty of Engineering & Informatics > Computer Engineering
Depositing User:	Administrator UMN Library
Date Deposited:	02 Aug 2017 06:58
Last Modified:	29 Jun 2022 03:19
URI:	https://kc.umn.ac.id/id/eprint/1563

Actions (login required)

View Item