IDENTIFICATION OF THE MOTIVE PATTERN OF THE SIKKA SCABBARD USING THE GRAY LEVEL CO-OCCURRENCE MATRIX (GLCM) AND SUPPORT VECTOR MACHINE (SVM)
Keywords:
Sikka Sarong, Motifs, GLCM, SVM
Abstract
Sikka -Flores Ikat fabrics are part from product culture traditional the Indonesian nation was made for used as clothing for the Sikka people. The development of Sikka's sarong motifs is very variety however not yet once applied use method computing like Support Vector Machine (SVM) for classification and the previous one will do extraction use method Gray Level Co-occurrence Matrix (GLCM) for get information level accuracy classification image of Sikka 's sarong motif.
Downloads
Download data is not yet available.
References
Bao,
S. O. (1992). Seni Tenun Suatu Segi Kebudayaan Orang Flores. Seminari
Tinggi St. Petrus Ledalero.
Nanas, B., Machine, S. V., Machine, S. V., Hasil, B., Kunci,
K., & Nanas, B. (2022). Klasifikasi Tingkat Kematangan Buah Nanas
Berdasarkan Tekstur Gray Level Co-Occurrence Matrix Dengan Metode Support
Vector Machine. 4(4), 296–301.
Prodi, S., Komputer, S., Elektro, F. T., & Telkom, U.
(n.d.). Aplikasi Identifikasi Motif Batik Menggunakan Metode Ekstraksi Fitur
Gray Level Co-Occurrence Matrix ( Glcm ) Berbasis Android Batik ’ S Pattern
Identification Through Feature Extraction Method , Gray Level Co – Occurrence
Matrix ( Glcm ), Based on Androi.
Surya, R. A., Fadlil, A., & Yudhana, A. (2016). Ekstraksi
Ciri Citra Batik Berdasarkan Tekstur Menggunakan Metode Gray Level Co
Occurrence Matrix. Prosiding ANNUAL RESEARCH SEMINAR 2016, 2(1),
146–150.
Tjondrowiguno, R. K., Intan, R., & Gunadi, K. (2017).
Aplikasi Pengenalan Pola Batik Dengan Menggunakan Metode Gray-Level
Cooccurrence Matrix. Infra, 5, 1.
Zainan Nisa, I., Nur Endah, S., Sidik Sasongko, P., &
Kusumaningrum, R. (2022). Klasifikasi Citra Sampah Menggunakan Support
Vector Machine Dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix Dan Color
Moments. 9(5), 921–930. https://doi.org/10.25126/jtiik.202294868
S. O. (1992). Seni Tenun Suatu Segi Kebudayaan Orang Flores. Seminari
Tinggi St. Petrus Ledalero.
Nanas, B., Machine, S. V., Machine, S. V., Hasil, B., Kunci,
K., & Nanas, B. (2022). Klasifikasi Tingkat Kematangan Buah Nanas
Berdasarkan Tekstur Gray Level Co-Occurrence Matrix Dengan Metode Support
Vector Machine. 4(4), 296–301.
Prodi, S., Komputer, S., Elektro, F. T., & Telkom, U.
(n.d.). Aplikasi Identifikasi Motif Batik Menggunakan Metode Ekstraksi Fitur
Gray Level Co-Occurrence Matrix ( Glcm ) Berbasis Android Batik ’ S Pattern
Identification Through Feature Extraction Method , Gray Level Co – Occurrence
Matrix ( Glcm ), Based on Androi.
Surya, R. A., Fadlil, A., & Yudhana, A. (2016). Ekstraksi
Ciri Citra Batik Berdasarkan Tekstur Menggunakan Metode Gray Level Co
Occurrence Matrix. Prosiding ANNUAL RESEARCH SEMINAR 2016, 2(1),
146–150.
Tjondrowiguno, R. K., Intan, R., & Gunadi, K. (2017).
Aplikasi Pengenalan Pola Batik Dengan Menggunakan Metode Gray-Level
Cooccurrence Matrix. Infra, 5, 1.
Zainan Nisa, I., Nur Endah, S., Sidik Sasongko, P., &
Kusumaningrum, R. (2022). Klasifikasi Citra Sampah Menggunakan Support
Vector Machine Dengan Ekstraksi Fitur Gray Level Co-Occurrence Matrix Dan Color
Moments. 9(5), 921–930. https://doi.org/10.25126/jtiik.202294868
Published
2022-12-30
How to Cite
Dua Reja, I., Alfan, H., & Yunita, M. (2022). IDENTIFICATION OF THE MOTIVE PATTERN OF THE SIKKA SCABBARD USING THE GRAY LEVEL CO-OCCURRENCE MATRIX (GLCM) AND SUPPORT VECTOR MACHINE (SVM) . INFOKUM, 10(5), 1357-1362. https://doi.org/10.58471/infokum.v10i5.1367
Section
Articles
