KLASIFIKASI KAIN TENUN DI PULAU TIMOR MENGGUNAKAN METODE MULTI SUPPORT VECTOR MACHINE (SVM)

Abstract

Indonesia has a lot of cultural wealth in the form of traditional fabrics, one of which is woven cloth from East Nusa Tenggara (NTT). Woven fabrics from each ethnic group in NTT have their respective motifs, especially woven fabrics originating from Timor Island, which are manifestations of daily life, culture and beliefs of the local community. In the eyes of observers of NTT woven fabrics, the origin of woven fabrics can be known based on their motives. Not everyone can distinguish the regional origin of certain woven fabric motifs due to the difficulty in defining the characteristics of a woven fabric motif in an area and the variety of existing woven fabric motifs and the diverse color mix. Image feature extraction is an image analysis technique to produce features / information from objects in the image that you want to recognize by calculating the value of Mean, Entropy, Variance, Skweness, and Kurtosis and utilizing multi support vector mechine (SVM) algorithms to classify fabrics originating from Timor Island.