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All Journal IPTEK The Journal for Technology and Science CommIT (Communication & Information Technology) ComTech: Computer, Mathematics and Engineering Applications
Widodo Budiharto
Bina Nusantara University
Computer Science & IT Engineering Mathematics

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Journal : ComTech: Computer, Mathematics and Engineering Applications

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Sistem Kontrol Akses Berbasis Real Time Face Recognition dan Gender Information Putri Nurmala; Wikaria Gazali; Widodo Budiharto
ComTech: Computer, Mathematics and Engineering Applications Vol. 6 No. 2 (2015): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v6i2.2264

Abstract

Face recognition and gender information is a computer application for automatically identifying or verifying a person's face from a camera to capture a person's face. It is usually used in access control systemsand it can be compared to other biometrics such as finger print identification system or iris. Many of face recognition algorithms have been developed in recent years. Face recognition system and gender information inthis system based on the Principal Component Analysis method (PCA). Computational method has a simple and fast compared with the use of the method requires a lot of learning, such as artificial neural network. In thisaccess control system, relay used and Arduino controller. In this essay focuses on face recognition and gender - based information in real time using the method of Principal Component Analysis ( PCA ). The result achievedfrom the application design is the identification of a person’s face with gender using PCA. The results achieved by the application is face recognition system using PCA can obtain good results the 85 % success rate in face recognition with face images that have been tested by a few people and a fairly high degree of accuracy.
Implementasi dan Evaluasi Penerapan Globus Toolkit untuk Aplikasi Grid Computing Widodo Budiharto
ComTech: Computer, Mathematics and Engineering Applications Vol. 3 No. 1 (2012): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v3i1.2469

Abstract

Grid computing is a distributed computing technology that utilizes resources connected through a free computer network, yet coordinated with a specific mechanism. The development of grid computing infrastructure is not easy because it takes skill and experience in the installation and configuration of both Linux-based and open source program. In this study, the author built a grid computing infrastructure based on Debian 4, and used Globus Toolkit 4.1.2 on three computers. The WSRF technology was tried to run as an indication that the grid infrastructure has been successfully built. Based on some experiments in this study, grid computing can run well on the three computers with a user interface of web-based grid system using the UCLA Grid Portal. Overall the system runs fine, but it requires high experiences and comprehensions upon the Linux operating systems as well as computer networks in the installation process.
Online Training for Face Recognition System Using Improved PCA Widodo Budiharto
ComTech: Computer, Mathematics and Engineering Applications Vol. 2 No. 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2952

Abstract

The variation in illumination is one of the main challenging problem for face recognition. It has been proven that in face recognition, differences caused by illumination variations are more significant than differences between individuals. Recognizing face reliably across changes in pose and illumination using PCA has proved to be a much harder problem because eigenfaces method comparing the intensity of the pixel. To solve this problem, this research proposes an online face recognition system using improved PCA for a service robot in indoor environment based on stereo vision. Tested images are improved by generating random values for varying the intensity of face images. A program for online training is also developed where the tested images are captured real-time from camera. Varying illumination in tested images will increase the accuracy using ITS face database which its accuracy is 95.5 %, higher than ATT face database’s as 95.4% and Indian face database’s as 72%. The results from this experiment are still evaluated to be improved in the future.
Co-Authors Alexander Agung Gunawan Antoni Wibowo Christian Tarunajaya Heri Ngarianto Ilvico Sonata Iman Herwidiana Kartowisastro Oey, Kevin Wijaya Putri Nurmala Reinard Lazuardi Kuwandy Wikaria Gazali Yaya Heryadi Yulianto, Budi