Classification of Batu Bara Songket Using Gray-Level Co-Occurrence Matrix and Support Vector Machine

  • Sriani Sriani (1*) Universitas Islam Negeri Sumatera Utara
  • Muhammad Siddik Hasibuan (2) Universitas Islam Negeri Sumatera Utara
  • Rizkika Ananda (3) Universitas Islam Negeri Sumatera Utara

  • (*) Corresponding Author
Keywords: Classification, Batu Bara Songket Motif, Gray Level Co-Occurrence Matrix (GLCM), Support Vector Machine (SVM)

Abstract

Songket is a traditional woven cloth from the Malay and Minangkabau tribes. Songket can also be classified from the brocade woven family and woven with gold or silver thread. Songket cloth's beauty is the Indonesian people's wealth and preservation. Batu Bara Regency is one of Indonesia's regions with several Songket motifs characteristics. Public knowledge of Batu Bara Songket motifs is still minimal, and the differences between one motif and another are still unknown. This research provides information about the variety of Songket fabrics by classifying six types of Batu Bara Songket motifs, namely the Bunga Tanjung motif, Pucuk Betikam motif, Pucuk Cempaka motif, Pucuk pandan motif, Tampuk Manggis motif and Tolab Berantai motif based on the extraction of the Gray Level texture feature. The Co-Occurrence Matrix includes four parameters: Contrast, Correlation, Energy, and Homogeneity, as well as a classification method with a Support Vector Machine. The feature extraction values ​​ process as input for classification using a Support Vector Machine. The highest accuracy achieved in this study was 57%, using 60 training data and 30 test data.

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Published
2022-12-14
How to Cite
Sriani, S., Hasibuan, M., & Ananda, R. (2022). Classification of Batu Bara Songket Using Gray-Level Co-Occurrence Matrix and Support Vector Machine. Jurnal Riset Informatika, 5(1), 481-490. https://doi.org/10.34288/jri.v5i1.469
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