Bentenan cloth is one of the traditional products made by North Sulawesi
people. It consists of various motifs which is produced in order to fulfill the needs
of the society. However, there are still some people who do not know the motif
because the lack of information about that cloth. Therefore, the researcher
developed a mobile software to introduce the pattern of Bentenan cloth by using
neural network that is Learning Vector Quantization.
The trial was done by entering the image with edge detecting in order to get the
pattern then being extracted by using wavelet. The trial was done with some
parameter to train by Learning Vector Quantization and to get the best result.
Learning by neural network is giving a good result with low learning rate in the
recognizing of Bentenan cloth motifs and is applicable as a mobile application.