Batik Motif Recognition Using Machine Learning Method as Educational Media (Case Study: CV. Titik Batik)

Batik is an Indonesian culture that has been recognized as a world heritage. Indonesian batik has a variety of different motifs in each region. Batik motifs need to be preserved so that they do not become extinct, one way is to introduce the motifs to the public. One of the Community Businesses engaged in the production and sale of batik, namely CV. Titik Batik has a variety of batik products. The diversity of batik types in each region in Indonesia has characteristic batik motifs. These distinctive motifs reflect the batik origin. Many people have not been able to recognize the type and region of origin of batik, let alone distinguish batik motifs. To preserve this Indonesian cultural heritage, the public needs to be educated about several batik motifs so that they can be preserved by the next generation of the Indonesian nation. Knowledge about recognizing types of batik motifs is only possessed by certain people, this is because batik has very varied and almost similar motifs. Based on these problems, one way to recognize batik motifs is with technology. One of the research topics that can be developed in the field of computer science is the Recognition of batik motifs with the Machine Learning Method. The model built using the Convolutional Neural Network machine learning method. The system is developed into a website that can be accessed by the public as an educational media for introducing batik motifs. In addition, for partners, this application can help as a promotional media for CV. Titik Batik.