Pengaruh Ciri Tekstur Pada Metode Klasifikasi LVQ Untuk Hasil Akurasi Identifikasi Citra Batik Tradisional Solo

Abstract

The use of appropriate features to determine identification is very important for the results of accuracy, especially the image of traditional batik in Solo. Characteristics are considered as good if they have distinguishing abilities, so they can be used for recognition with a high degree of accuracy. The purpose of this study was to determine what texture characteristics affect the level of accuracy in the identification of traditional batik in Solo. The method used is KFold cross-validation, with a K value of 2, 3, 5, 6, 10 used to test the training data and validation data. The best parameters are chosen from the highest accuracy value, and then the best final weight, value α, dec α, and min α are stored. The resulting values are used in testing the data. The texture characteristics tested were 0^o energy, 45^o energy, 90^o energy, 135^o energy, 0^o entropy, 45^o entropy, 90^o entropy, 135^o entropy, 0^o contrast, 45^o contrast, 90^o contrast, 135^o energy, 0^o homogeneity, 45^o homogeneity, 90^o homogeneity. , homogeneity 135 ^o, correlation 0 ^o, correlation 45 ^o, correlation 90 ^o, correlation 135^o. The test results obtained from K = 2, 3, 5, 6, 10 is the highest accuracy value obtained at 10-fold with an accuracy of 80.2%. The results of testing using k-fold can be concluded that the use of texture characteristics can affect the accuracy of 18.89%.