Java Batik Classification Based on The Pattern Using Convolutional Neural Network

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.