PENGEMBANGAN APLIKASI MOBILE UNTUK PENGENALAN POLA KAIN BENTENAN DENGAN JARINGAN SARAF TIRUAN LEARNING VECTOR QUANTIZATION

PANDEIROOT, KIVEN ALFA (2014) PENGEMBANGAN APLIKASI MOBILE UNTUK PENGENALAN POLA KAIN BENTENAN DENGAN JARINGAN SARAF TIRUAN LEARNING VECTOR QUANTIZATION. S2 thesis, UAJY.

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Abstract

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.

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