Human‐computer interaction related to productivity and innovation has yielded a lot of discussions and impacts in improving a lot of progress in the development of user‐friendly software (Zhapiris & Ang, 2009). However, our age has witnessed that computational technology has changed a lot more than we might like to imagine (Asaolu, 2006), be it culture (Edward, 1994), economy (Vaaler & McKnight, 2000), politics (Friedman, 2005), and even changed the way we see ourselves, and the social life surrounding us (Kraemer, et al, 1995). A lot of theoretical discoveries in science and technology nowadays are easily conveyed and thus implemented to cope with some problems or simply just boost our living performance.
Batik is a famous and unique traditional heritage from Indonesia. Its uniqueness comes from its production process – which known as “mbatik”, its motifs, and its values. Since cultural and art product could become an economic product (Heilbrun & Gray, 2004), as artistic and unique fabric product, batik could be a very valuable product economically, even in the modern era like today. However, besides as a economic product, batik is considered having an astonished characteristic on its motifs. Batik motifs and ornamentation, which is born and constructed from cognitive process of human being when she drawn her surrounding nature, is found to have a very interesting complexity degree. This feature is regarded as one of interesting aspect to be researched and innovated using science and technology.
Recent development in science and technology has made simulation growing natural process in silico becomes possible. It is also possible to generate Batik motifs and ornamentation – which found has a fractal property in its complex geometry – computationally. Situngkir (2008) have been classified innovation types of batik motifs and found that batik motif could growth computationally by incorporating fractal generation algorithm, such as iterated function system, complex plane, etc.
In order to design, evaluate, and implement computational systems for batik motifs generation, the algorithms mention above have been implemented in Java TM platform. This software is constructed to explore possibilities on batik motifs generation, and to evaluate the implementation of these motifs in mbatik process.
The interaction of this computing platform with users in generating new batik motif is conducted in form of workshop involving nine senior high school students. Interestingly, we have found that students could be easily perceived whether computationally generative motif resulted by fractal‐ generating software is appropriate batik motif or not. The emergence patterns of batik design also have found when these motifs are painted to fabric material by using traditional batik process. The paper reports the evaluation of the workshop.