Computational Batik Motif Generation Innovation of Traditi onal Heritage by Fracta l Computation



the iterated function system. Generated motifs which perceived as batik motif, then printed and
painted further on fabric by using traditional batik process, as follows (visualized in figure 3):

1. Ma nual ly drawing the printed of generative motif to the fabric by using pencils.

2. The writing process of motif using hot wax and painting device cal led “canthing”.

3. The fabric is coloring using certain fabric color materials - the waxed part in the pattern
becomes the part with no color (resisted).

4. Wax residue is discarded by boiled it in boiled water - this can be followed by the second
coloring process for two or more colors.

Figure 3

Acquisit ion of C omputa tiona l Fractal Comp uti ng in Ind onesian mbatik p rocess.

Batik cloths produced by hand-made process and using computationally generative fractal patterns
as basic motifs are depicted in the appendix. Interestingly, the hand-made batik designs are
emerging (sometimes) unexpected and interesting patterns. The bati k design produced by human
and computer interaction are emerged as a new kind of batik pattern, which is very interesti ng to
analyze further in order to see the implication of human-computer interaction on innovation process
of traditional heritage such as batik.

The nature of computationally generative motif is somewhat different with human made motifs.
Pattern of motifs resulted from several fractal generating algorithms are determined by a set of
hundred or even thousand points drawn on computer screen pixels, while huma n made motifs is
constructed as continue line drawn by certain materials and tools used for drawing. Nevertheless, in
order to paint generated motif to fabric using batik technique, constraint by several aspects, such as
human biological constraints,
e.g.: capability of human eyes to detect the edge of shape, her
cognitive ca pacity, her cultural and educational backgrounds, etc. The se human factors related to
creativity have made the implementation of computationally generative motif to batik medium
sometime resulting unexpected batik design (McCormack and Dorin, 2001).



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