CONSTRUCTING BATANG BATIK MOTIFS USING TURTLE GRAPHICS ALGORITHMS

Abstract

During the COVID–19 pandemic, many activities were carried out digitally, including storing batik motifs to maintain the cloth pattern's sustainability. The samples were Batang Batik motifs of grapes, Jamblang Papat and Kawung Jenggot. The study aimed to store batik motifs in the form of computer programs with turtle graphics algorithms to ease the batik motif delivery because of the smaller memory storage. Computer programmers are needed to create batik patterns similar to Batang Batik patterns. Python programming uses turtle graphics to paint curves and generate graphics. The results of this study indicated that Batang Batik motifs can be made using turtle graphics without losing the characteristics of the batik itself. This finding can be used for more efficient storage of memory. The quality was also good when it was scaled up and down. This study has successfully created Grape, Jambang Prapat, and Kawung Jenggot motifs using turtle graphics algorithms in Python. The picture quality of the turtle graphics-scaled reconstructed image was equivalent to that of a photo image.