eprintid: 8815
rev_number: 30
eprint_status: archive
userid: 71
dir: disk0/00/00/88/15
datestamp: 2013-07-11 10:12:30
lastmod: 2016-03-08 02:54:29
status_changed: 2013-07-11 10:12:30
type: thesis
metadata_visibility: show
creators_name: ANGGI RIZKY WINDRA PUTRI, NIM. 06650020
title: APLIKASI  JARINGAN SYARAF TIRUAN DENGAN MENGGUNAKAN
METODE BACKPROPAGATION DALAM KASUS PENGENALAN POLA 

 
HURUF HIJAIYAH

ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
abstract: At this time the technology is considered very influential role in human 
life. The role of technology is to be one of the factors supporting progress in
various fields. One is education. Learning system by utilizing the application of
technology as well be one attractive option for children in enhancing creativity
and learning systems. With an attractive appearance and assisted learning tools
that support will increase the child's interest in learning. 
In consideration of the reasons the authors propose to create a system that
recognizes the letter to the specifications hijaiyah as object identification by
detecting the letter by letter the input image capture through the camera. Then
processed to capture the results of image processing and image will be formatted
using a threshold to black and white then processed binerisasi where the black
parts of the image are considered as binary 1 and the white parts are considered as
binary 0. Then binerisasi images used as input of neural network. 
Obtained from these studies that hijaiyah recognition system that utilizes
image processing supported the use of neural networks as pattern recognition
hijaiyah, In matlab simulation, test data are in the know at 99% and the simulation
of the real success of the test data in recognizing letters received grades 85 % by
using a threshold of 100. Organization of the neural network has two hidden
layers and one output layer using a binary sigmoid activation function. Ijaiyah
letter recognition system gives output as text and voice information submitted. 

Keywords: Letter Recognition System, Neural Networks, Image Processing.
date: 2013-06-03
date_type: published
institution: UIN SUNAN KALIJAGA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   ANGGI RIZKY WINDRA PUTRI, NIM. 06650020  (2013) APLIKASI JARINGAN SYARAF TIRUAN DENGAN MENGGUNAKAN METODE BACKPROPAGATION DALAM KASUS PENGENALAN POLA HURUF HIJAIYAH.  Skripsi thesis, UIN SUNAN KALIJAGA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/8815/1/BAB%20I%2C%20VII%2C%20DAFTAR%20PUSTAKA.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/8815/2/BAB%20II%2C%20III%2C%20IV%2C%20V%2C%20VI.pdf