Development of Affine Transformation Method in the Reconstruction of Songket Motif

Ramadhanu, Agung and Na'am, Jufriadif and Nurcahyo, Gunadi Widi and Yuhandri, Yuhandri (2022) Development of Affine Transformation Method in the Reconstruction of Songket Motif. IJASEIT, 12 (2). pp. 600-606. ISSN 2088-5334

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Songket is one of the clothes with a high artistic value besides Batik originating from Indonesia. Songket is widely used at weddings and other traditional formal events. Songket is the result of a traditional craft consisting of the main ingredients of cloth made of cotton and silk threads by inserting the feed (basic material) transversely on the Lunsing (yeast cloth). The quality of Songket art is found in the motifs on the Songket. This research has a conceptual outline in terms of improving the quality of Songket cloth and making it easier for craftsmen and artists to spare their art for the reconstruction process of the Silungkang Songket motif. This research aims to get a new Songket motif with a more modern and aesthetic motif but still has its original characteristics and identity. Based on these objectives, the researchers focused and motivated to develop the motif of one of the types of Songket in Indonesia, namely Silungkang Songket, in the form of a more modernized motif. This research develops a digital image transformation method named Affine Segmentation Point (ASP) to produce modernized Songket motifs. The basis of the developed ASP method is the Affine transformation. Songket image input was used as data and created a new motif in this study: a Songket image with the Rangkiang Lumbung Padi Besar motif. The results of this study can create excellent Songket motifs and modernization. The new motifs produced have been tested by Songket experts, Songket observers, Songket craftsmen, and Songket sellers with an interest rate of 97.5%. The method developed is very precise and can be used to develop other high-value artistic motifs on traditional cloth.

Item Type: Article
Subjects: 0 Research > Ilmu Komputer > Image Processing
Divisions/ Fakultas/ Prodi: Fakultas Ilmu Komputer
Depositing User: Administrator
Date Deposited: 01 Aug 2022 07:16
Last Modified: 01 Aug 2022 07:16

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