CD Skripsi

Sistem Pengenalan Motif Songket Melayu Riau Menggunakan Metode Deep Learning

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ABSTRACT
Each region of Indonesia has its own distinct culture and handicrafts, such as the Riau Province. The Riau Malay songket weaving is one of the cultural artifacts from Riau that has survived to the present day. A core pattern, often known as the center flower, serves as a defining characteristic of each songket woven cloth, allowing one socket to be distinguished from another. However, there is still a dearth of knowledge and appreciation for songket woven cloth, particularly among the younger generation, who are supposed to carry on the Riau Malay tradition. Lack of proper information and knowledge about songket weaving is one of the things that makes people appreciate songket less. Therefore, it is essential to create a mechanism for introducing Riau Malay songket motifs so that people can learn about them from the public, especially the younger generation, and preserve Malay culture. The author uses the deep learning method and the Convolutional Neural Network (CNN) algorithm to create a website-based recognition system that can classify motifs in Riau Malay songket images, namely shoots of bamboo shoots, elbows of clouds, elbows of keluang, and tampuk mangosteen. It is necessary to test to determine the performance of the model using the confusion matrix, which is to calculate the accuracy value. The results of the study obtained an accuracy of 94% using data testing with the CNN architecture that had been trained. To construct a website-based recognition system that can categorize motifs in Riau Malay songket pictures, such as shoots of bamboo shoots, elbows of clouds, elbows of keluang, and tampuk mangosteen, the author employs deep learning and the Convolutional Neural Network (CNN) algorithm. In order to calculate the accuracy value, it is important to test the model's performance using the confusion matrix. Using data testing and the trained CNN architecture, the study's findings had an accuracy of 94%.
Keywords : Deep learning, CNN, Image Classification, Riau Malay Songket

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1807111542

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Informatika., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1807111542

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK ELEKTRO

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

Lampiran Berkas

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