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PENGENALAN POLA TULISAN TANGAN AKSARA SASAK MENGGUNAKAN METODE LINEAR DISCRIMINANT ANALYSIS DAN JARINGAN SYARAF TIRUAN JENIS BACKPROPAGATION
Sasak’s script is the one of Indonesia's cultural heritages which is endangered language category and it needs to be
preserved so its not become extinct script. If there is no preservation, Sasak’s script will be close to extinction. Given the
importance of conservation efforts, a reserch was carried out to recognize the Sasak’s script handwriting patterns. This
reserch aims to see the optimal model for recognizing Sasak script patterns and to see how accurate the Linear
Discriminant Analysis method as extraction features and Backpropagation Neural Network as a classification method
for recognizing Sasak’s script patterns. The dataset in this reserch consisted of three variations amount of data which
are 13500, 10800 and 2700. According to the final results of the study the best accuracy was obtained in the 10800
dataset, 92.20% with 92% precision and 92% recall with 250,691s computing time. The test is based on the best
paramater of DCT coefficient test parameters, eigen value, number of neurons, number of hidden layers and learning
rate that has been tested before.
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