Pengembangan Learning Management System Di SMK 4 LPPM RI Padalarang

Kristiana, Dyan (2016) Pengembangan Learning Management System Di SMK 4 LPPM RI Padalarang. Diploma thesis, Universitas Komputer Indonesia.

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Official URL: http://elib.unikom.ac.id/gdl.php?mod=browse&op=rea...

Abstract

Cats are popular animals kept current. Cats breed like feral cats or domestic cats that dominate while the number of purebred cat is only 1% worldwide, so prices tend to be expensive purebred cat. The number of races cat that is about 32 cats are recognized internationally. Each race has a special characteristic, but because of the frequent occurrence of interbreeding, the original determination of race cats can be difficult and confusing people who want to buy a cat or a person who wants to know the types of cats. Many detection methods in the construction of images, one of which is currently most developed is the Viola-Jones. Viola-Jones method relative to get results quickly, accurately, and efficiently. In this method there are several algorithms that are used as Haar-like is used to detect faces. While the cat is used to classify races Local Binary Pattern histograms (LBPH) to classify the features combined with the histogram. LBPH has a simple calculation and is suitable to be implemented on android devices. Based on testing it was concluded that the Viola-Jones method, and Local Binary Pattern histograms (LBPH) can detection and identification are implemented on the cat race. With the test results showed the detection using the Viola-Jones produces an average of 46% and the success of the detection test results using LBPH produce an average 75% success. And maximum performed detection on the area brightly lit. Keywords: Image Detection, Cats, Android, Viola-Jones, LBPH

Item Type: Thesis (Diploma)
Uncontrolled Keywords: Indexing Content, Preprocessing, Learning Managemen Sistem
Subjects: S1-Final Project > Fakultas Teknik Dan Ilmu Komputer > Teknik Informatika > 2014
Divisions: Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer
Universitas Komputer Indonesia > Fakultas Teknik dan Ilmu Komputer > Teknik Informatika (S1)
Depositing User: Admin Repository
Date Deposited: 16 Nov 2016 07:35
Last Modified: 16 Nov 2016 07:35
URI: http://repository.unikom.ac.id/id/eprint/451

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