CD Skripsi

Analisa Perbandingan Metodeprincipal Component Analysis(Pca)Dan Gray Level Co-Occurence Matrix (Glcm) Dalam Mengenali Motif Songket Melayu Riau

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ABSTRACT


Malay Songket Woven cloth Riau is one of the symbols of the weaving art from Riau Province. Riau songket Woven cloth is woven by using golden silk yarn or cotton yarn. it has shaped motifs from gold or silver yarn .Songket motifs system can be done with two ways uses Principal Component Analysis (PCA) and Gray Level Co-Occurence Matrix (GLCM). this research compares Principal Component Analysis (PCA) and Gray Level Co-Occurence Matrix (GLCM) features extraction by using Backpropagation Artificial Intelligence (AI) method with Matlab 2016b, to get the best feature extraction method for recognition songket motifs. This study uses five songketmotifs that consist of , Pelita Flower, Bamboo Shoot Flower, Pistil Mangosteen, Sow Flower and Cloud Elbow, to recognize riausongket, 100 data are headed consisting of 60 Training Data and 40 Test Data. results of testing recognition system of songket motif with a combination of training parameters by using epoch 1000, and learning rate of 0.01 prodauce 89,5% Principal Component Analysis (PCA) and 97,3% Gray Level Co-Occurence Matrix (GLCM).

Keywords: Woven cloth Riau, Principal Component Analysis (PCA), Gray Level Co-Occurence Matrix (GLCM), Artificial intelligence (AI), Backpropagation Method

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 04. 119 (0077)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2019

Deskripsi Fisik

v, 52 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 04. 119 (0077)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

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