Antony, Alvin Pradana (2024) Aplikasi Deteksi Warna Untuk Penyandang Disabilitas Tunanetra Dengan Metode KNN Berbasis Mobile: Studi Kasus Di SLB Negeri Jember. Undergraduate thesis, Politeknik Negeri Jember.
![[img]](https://sipora.polije.ac.id/style/images/fileicons/text.png) |
Text (Abstract)
ABSTRACT.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (222kB) |
|
Text (Bab 1 Pendahuluan)
BAB 1 PENDAHULUAN.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (188kB) |
|
Text (Daftar Pustaka)
DAFTAR PUSTAKA.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (182kB) |
|
Text (Laporan Lengkap)
LAPORAN LENGKAP.pdf - Submitted Version Restricted to Registered users only Download (3MB) | Request a copy |
Abstract
Visually impaired people have limited vision, making it difficult to carry out daily activities, especially in terms of identifying colors in objects. This research aims to build a mobile-based color detection system application that can help visually impaired people identify colors in objects in real time. The method used in this research is K-Nearest Neighbors (KNN) using HSV (Hue, Saturation, Value) color feature extraction. This research was conducted at SLB Negeri Jember by involving blind students and teachers as application users. The results showed that the developed application was able to detect colors in objects with high accuracy. Based on the test results, the accuracy rate obtained in identifying colors on objects using the KNN method with a value of k = 5 is 92.28% on training data and 89.13% on test data. This value shows that the system can recognize colors with a small error rate. The talkback feature integrated in the application also makes it easy for visually impaired users to operate the application. With this application, it is hoped that it can help improve the independence of visually impaired people in carrying out daily activities.
| Item Type: | Thesis (Undergraduate) | ||||||
|---|---|---|---|---|---|---|---|
| Contributors: |
|
||||||
| Uncontrolled Keywords: | Color, Color Detection, KNN, K-Nearest Neighbors, Kotlin, Disability, Visually Impaired, Color Blind , Weka, OpenCV, Android | ||||||
| Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 462 - Teknologi Informasi 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 463 - Teknik Perangkat Lunak |
||||||
| Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
| Depositing User: | Alvin Pradana Antony | ||||||
| Date Deposited: | 05 Aug 2024 02:46 | ||||||
| Last Modified: | 05 Aug 2024 02:47 | ||||||
| URI: | https://sipora.polije.ac.id/id/eprint/35993 |
Actions (login required)
 |
View Item |
