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All Journal Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Teknologi Terpadu Journal of Information System, Applied, Management, Accounting and Research Just TI (Jurnal Sains Terapan Teknologi Informasi) HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi
Meliana O Meo
STIKOM Uyelindo Kupang
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Journal : Indonesian Journal of Artificial Intelligence and Data Mining

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Digital Image Processing to Detect Sumba Woven Fabric Contour Using Gray Level Co-occurrence Matrix and Self Organizing Map Mone, Bintang Vieshe; Kaesmetan, Yampi R; Meo, Meliana O.
Indonesian Journal of Artificial Intelligence and Data Mining Vol 7, No 1 (2024): March 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v7i1.28355

Abstract

Sumba woven cloth is one of the cultural heritages of the island of Sumba. Based on its manufacture, the classification process for Sumba woven fabrics is based on the identification of colors or motifs. However, the classification process is not an easy process. In addition to the classification process, the wider community also does not get much information about Sumba woven fabrics clearly, therefore digital image processing technology is needed to build a system that can overcome the problems faced. The image of the Sumba woven fabric sample is converted to grayscale and resized, then segmented using Sobel detection. Then extracted using Gray level co-occurrence matrix (GLCM). After extraction, it will be classified using a Self Organizing Map (SOM). Based on the results of this study, it was concluded that the accuracy of the validation test was 80%, and the program was successful.
Co-Authors Bere, Febrianty Darut, Benedikta Loe Donzilio Antonio Meko Kaesmetan, Yampi R Meko, Donzilio Antonio Mone, Bintang Vieshe Nesi, Maria Yunita Skolastika Siba Igon