PENGENALAN POLA TULISAN TANGAN AKSARA JAWA MENGGUNAKAN MULTI LAYER PERCEPTRON

Madha Christian Wibowo, I Dewa Gede Rai Mardiana, Sandy Wirakusuma

Abstract


Penelitian ini berfokus pada optical character recognition (OCR) untuk tulisan tangan Aksara Jawa Nglegena. Metode pengenalan pola yang digunakan adalah multi layer perceptron dengan algoritma pembelajaran back propagation. Sampel yang digunakan adalah 100 set sampel untuk pelatihan dan 50 set sampel untuk pengujian. Bobot akhir yang dihasilkan telah mampu mengenali sampel pelatihan sebesar 100%, dan sampel pengujian sebesar 38,1%.


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