Rahman, Sayuti
Universitas Negeri Medan

Published : 3 Documents
Articles

Found 3 Documents
Search

PERANCANGAN APLIKASI IDENTIFIKASI BIOMETRIKA TELAPAK TANGAN MENGGUNAKAN METODE FREEMAN CHAIN CODE Rahman, Sayuti; Ulfayani, Muzdalifah
CESS (Journal of Computer Engineering, System and Science) Vol 2, No 2: Juli 2017
Publisher : Universitas Negeri Medan

Show Abstract | Original Source | Check in Google Scholar

Abstract

Kebutuhan terhadap sistem pengenalan diri semakin meningkat terutama untuk sistem keamanan. Sistem pengenalan bertujuan untuk memecahkan identitas seseorang. Terdapat dua tipe sistem pengenalan, yaitu sistem verifikasi dan identifikasi, dimana sistem identifikasi bertujuan untuk memecahkan identitas seseorang. Salah satu teknologi yang mampu mengidentifikasi individu dari karakter biologis individu dikenal dengan nama Biometrika. Biometrika merupakan metode otomatisasi untuk mengenal seseorang berdasarkan karakteristik fisik, salah satunya ialah telapak tangan. Telapak tangan merupakan salah satu organ tubuh manusia yang bersifat unik dan memiliki tekstur yang detail, bahkan berbeda antara telapak tangan kanan dan kiri. Telapak tangan juga tidak dapat berubah serta stabil selama berpuluh-puluh tahun, sehingga dapat digunakan dalam sistem identifikasi. Sistem Identifikasi biometrika pada penelitian ini menggunakan metode Freeman Chain Code. Freeman chain code adalah metode pemisahan ciri dengan cara melakukan penelusuran piksel-piksel obyek dengan panduan 8 arah mata angin. Pemilihan metode freeman chain code didasarkan pada pertimbangan garis-garis tangan bersifat alami. Proses identifikasi telapak tangan ini dilakukan dengan data latih dan data uji. Hasil penelitian ini sebagian besar dapat mengidentifikasi biometrika talapak tangan. Kata Kunci : Aplikasi, Identifikasi, Biometrika, Telapak Tangan, Chain Code
Aplikasi Edit Foto Background Dengan Menggunakan Metode K-Means Clustering Lubis, Ihsan; Simamora, Herlina Andriani; Rahman, Sayuti; Siregar, Rosyidah; Lubis, Husni
Query: Journal of Information Systems VOLUME: 03, NUMBER: 01, APRIL 2019
Publisher : Program Studi Sistem Informasi

Show Abstract | Original Source | Check in Google Scholar

Abstract

Background photos become one of the most important things in every human activity. Where each background color contains its own meaning, depending on when the conditions where we use the background color. The background color is indispensable in the interests of humans in all matters relating to administration, for example, in the scope of work, school, and others. The background color change can be done by clustering the image. The initial stage done in changing the background color is to cluster the image first so that the background object can be found. In this study, the authors apply the k-means method to divide the objects into several parts. In this application before changing the background color we have to determine the number of clusters first, then the background color is changed according to the desired cluster. This application is designed using Matlab version 2010a. Test results ten images can be concluded that the success of background color changes can be done with a background that has one color while the background that has different colors can not change.Keywords: Image, Background, K-means, Clustering, Processing Image, Matlab 2010a 
PENGENALAN IRIS MATA MENGGUNAKAN METODE TEMPLATE MATCHING CORRELATION Rahman, Sayuti; Sahira, Ulfa
JURNAL TEKNOLOGI INFORMASI Vol 2, No 2 (2018): Desember 2018
Publisher : JURNAL TEKNOLOGI INFORMASI

Show Abstract | Original Source | Check in Google Scholar | Full PDF (899.322 KB)

Abstract

Abstract - Biometrics is the study of automatic methods for recognizing humans based on one or more parts of the human body that are unique. One human characteristic that can be used is iris, iris features can be used as distinguishing characteristics with other individuals. The stage that the writer did to be able to recognize the iris pattern of someone's eye in a digital image was the pre-processing stage, the template saving stage and the matching stage. In this study the author applies the template matching method to store the image into a template image stored in the database and the algorithm correlation coefficient for the characteristic matching algorithm between template data and test data. The application is designed using the Matlab R2010a programming language. The results of testing 22 images obtained by the percentage of system success was 86.36%. Keywords - Iris, Template Matching, Correlation Coefficient