Java Batik Classification Based on The Pattern Using Convolutional Neural Network
Emil R. KaburuanMercu Buana University,Informatics Engineering Department,Jakarta Barat,IndonesiaEzra PeranginanginBina Nusantara University,Industrial Engineering Department BINUS ASO School of Engineering,Jakarta,Indonesia,11480Oktavian Nikky AbpriantoMercu Buana University,Informatics Engineering Department,Jakarta Barat,IndonesiaPrastika IndriyantiMercu Buana University,Informatics Engineering Department,Jakarta Barat,IndonesiaUlugbek KhamrokulovSamarkand State Archıtectural and Cıvıl Engıneerıng University,Civil Engineering Department,Samarkand,Uzbekistan
2024en
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ABI
Annotatsiya
The intricate art of batik holds profound cultural significance in Southeast Asia, particularly in Indonesia, where it serves as a conduit for transmitting ancient narratives, philosophies, and rituals. This research endeavors to deepen our understanding of Javanese regional batik by employing machine-learning techniques for classification. Focused on the island of Java, renowned for the diversity and distinct identities of its batik patterns across different regions, this study aims to contribute to preserving and recognizing this rich cultural heritage.
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