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K.A.F.A. Samah
Universiti Teknologi MARA

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Security Authentication for Student Cards’ Biometric Recognition Using Viola-Jones Algorithm S. Ibrahim; K.R. Jamaluddin; K.A.F.A. Samah
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp241-247

Abstract

The unauthorized access to the university entrance could be gained by only flashing a student card. This unsecure situation shows the loophole of security authentication in a university. In order to overcome this, a biometric recognition could be the most suitable candidate as it varies uniquely from one person to another. A study on student cards’ biometric recognition using Viola-Jones algorithm is presented as it is proven as a powerful algorithm in terms of superb detection rates and speed.  It is done by comparing the facial structures and features between the student card’s image and the card holder image, thus determining the similarity. The recognition performance is evaluated based on the percentage of similarity using 100 testing images of 50 students. The observation on results obtained the effectiveness of the Viola-Jones features in student cards’ biometric recognition rate.
Optimization of house purchase recommendation system (HPRS) using genetic algorithm K.A.F.A. Samah; I.M. Badarudin; E.E. Odzaly; K.N. Ismail; N.I.S. Nasarudin; N.F. Tahar; M.H. Khairuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1530-1538

Abstract

This paper presents the optimization of house purchase recommendation system (HRPS) using Genetic Algorithm.  Everyone in this world has their own dream house and plan to purchase it depending on their budget and based on the house preferences. Homebuyers face problem in comparing the house property websites according to the factors during the house survey. Subsequently, it is time-consuming in making the decision and they need to bear the transportation cost as they will need to travel to one house developer office to another. In addition, some of the homebuyers felt disappointed when their expectations were not met. Thus, in order to optimize the preferences, in this paper, we present a web-based house purchase recommendation system (HPRS) using a genetic algorithm. Then, it follows by test the functionality and usability of the system. As a result, the system found to function accordingly and obtain more than the average score of system usability scale testing. For further research, it is recommended to add more data to the database and compare with other algorithms.
Co-Authors E.E. Odzaly I.M. Badarudin K.N. Ismail K.R. Jamaluddin M.H. Khairuddin N.F. Tahar N.I.S. Nasarudin S. Ibrahim