INFOKUM
Vol. 10 No. 5 (2022): December, Computer and Communication

IDENTIFICATION OF THE MOTIVE PATTERN OF THE SIKKA SCABBARD USING THE GRAY LEVEL CO-OCCURRENCE MATRIX (GLCM) AND SUPPORT VECTOR MACHINE (SVM)

Dua Reja, Imelda (Unknown)
Alfan, Hilarius (Unknown)
Yunita, Maria (Unknown)

Article Info

Publish Date
30 Dec 2022

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.

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Journal Info
INFOKUM
Website

Abbrev

infokum

Publisher

SEAN INSTITUTE

Subject

Computer Science & IT

Description

The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the ...