eprintid: 19478
rev_number: 13
eprint_status: archive
userid: 71
dir: disk0/00/01/94/78
datestamp: 2016-02-22 02:29:59
lastmod: 2016-02-22 10:27:39
status_changed: 2016-02-22 02:29:59
type: thesis
metadata_visibility: show
creators_name: AINIR ROHMAH, NIM. 09651008
title: PENGENALAN POLA CITRA IRIS MATA
MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION
UNTUK MENDETEKSI PENYAKIT KULIT PADA MANUSIA
ispublished: pub
subjects: TB
divisions: jur_tinf
full_text_status: restricted
keywords: backpropagation artificial neural network, eye iris image,
GLCM, iridology, skin, scurf rim
note: Dr. Shofwatul ‘Uyun, M.Kom
abstract: Skin disease caused by toxin cumulated at skin makes a black hole around the iris
called scurf rim. At the iridologist chart, scurf rim areas located at 7th topography
or outer of eye iris connect the sclera. Eye iris can be read by the expert
(iridologist) make a difference because every people had a different subjectivity.
For anticipated, we made an automation in this research.
In this research, the data taken from a public database called CSBR (Center for
Biometric and Security Research). 50 image data divided by 2, 40 train data and
10 test data. The process in preprocess steps are cropping, histogram equalizing,
changing polar image to rectangular, automating crop to take the scurf rim area,
and canny edge detection. The process steps are pattern recognizing using GLCM
(Grey Level Co-occurrence Matrix) and pattern classification using
backpropagation neural network.
The image tested use Matlab 7.1. The result from averages of all image that
extract using GLCM using contrast, homogeneity, energy and correlation for
normal condition are 7,469835; 0,850391; 0,646432 and 0,145386. For the
abnormal image are 6,784483; 0,863412; 0,671574 and 0,157455. The
presentation of recognizing train data is 100% from 40 train data and 80% for the
test data from 10 data.
date: 2016-01-26
date_type: published
institution: UIN SUNAN KALIJAGA YOGYAKARTA
department: FAKULTAS SAINS DAN TEKNOLOGI
thesis_type: skripsi
thesis_name: other
citation:   AINIR ROHMAH, NIM. 09651008  (2016) PENGENALAN POLA CITRA IRIS MATA MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION UNTUK MENDETEKSI PENYAKIT KULIT PADA MANUSIA.  Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.   
document_url: https://digilib.uin-suka.ac.id/id/eprint/19478/2/09651008_bab-i_iv-atau-v_daftar-pustaka.pdf
document_url: https://digilib.uin-suka.ac.id/id/eprint/19478/1/09651008_bab-ii_sampai_sebelum-bab-terakhir.pdf