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All Journal Journal of Computer Science and Informatics Engineering (J-Cosine)
Dina Juliani U M, Eka
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Computer Science & IT

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Pengenalan Pola Tulisan Tangan Suku Kata Aksara Sasak Menggunakan Metode Integral Projection dan Neural Network Dina Juliani U M, Eka; Wijaya, I Gede Pasek Suta; Bimantoro, Fitri
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 1 (2019): June 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1503.815 KB) | DOI: 10.29303/jcosine.v3i1.222

Abstract

This paper presents sasak ancient scripts using integral projection and neural network. The purpose of using these two methods is to find out how to work this methods and how much accuracy is obtained in pattern recognition of sasak ancient scripts. The data used is 1260 handwritten image data. Testing is done by knowing the effect of the number of nodes in a hidden layer and the effect of the number of hidden layers in a network. The highest accuracy on average is in the use of 2 hidden layers where 21 nodes for the first hidden layer and 14 nodes for the second hidden layer. The experiment resulted in the obtained accuracy rate of 41.38%.
Co-Authors Fitri Bimantoro I Gede Pasek Suta Wijaya