PENGENALAN HURUF LATIN PADA ANAK USIA DINI DENGAN PENERAPAN METODE BACKPROPAGATION

Riyadi, Slamet and Fitri, Zilvanhisna Emka and Imron, Arizal Mujibtamala Nanda (2021) PENGENALAN HURUF LATIN PADA ANAK USIA DINI DENGAN PENERAPAN METODE BACKPROPAGATION. Djtechno: Jurnal Teknologi Informasi, 2 (2). pp. 130-137. ISSN 2776-8546

	Text (cek similarity) 8.DJTECHNO_Pengenalan Huruf Latin pada Anak Usia Dini dengan Penerapan Metode Backpropagation.pdf - Supplemental Material Available under License Creative Commons Attribution Share Alike. Download (1MB)
	Text (full paper) 8.DJTECHNO_2021.pdf - Published Version Restricted to Repository staff only Available under License Creative Commons Attribution Share Alike. Download (1MB)

Abstract

Early childhood has difficulty remembering Latin letters or Roman characters than adults. Some of the factors that cause it are cognitive development, motivation, interest in learning, emotions and environmental factors. To overcome this, an innovative media is needed so that children can easily remember Latin letters. One of the innovative media applies digital image processing techniques and artificial intelligence. The fonts used are 10 types of letter models with image processing techniques such as preprocessing, binaryization, pixel mapping and creating vector as feature extraction. While the artificial intelligence used is the backpropagation method. The total data is 208 letter images with 625 input features with 500 epochs, the best learning rate used by the system is 0.025 so that the best training accuracy is 93.96% and testing accuracy is 92.31%.

Actions (login required)

View Item