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- W2249968952 abstract "In information technology, biometrics system is a system that refers totechnologies for measuring and analyzing human body characteristics. body partssuch as fingerprints, retina, eye, voice patterns and facial patterns, are examplesof body parts that can be used to process otenfikasi. Facial recognitiontechnology increasingly used and developed with a very wide range ofapplications, such as security systems, access control systems area, and studentattendance system.This research presents a biometrics attendance system that applies theidentification of facial recognition techniques. The system is focused on thedesign of attendance system that works by detecting faces in real-time, natural,dynamic and automatic without any manual process, with the aim that students donot know the ongoing process of absenteeism, it should not interfere with thelearning process. The system is implemented on a lecture at the university.This system has two stages of the process of absenteeism, the first processof detecting every face that passes through the entrance of the room to get a facialimage, the second is to do facial recognition on the face image is detected todetermine the presence. The system uses an IP-Camera to detect the faces ofstudents.These systems apply the Viola-Jones algorithm for face detectiontechnique and the method of Principal Component Analysis (PCA) for facerecognition techniques to obtain eigenface from each facial image.The results from this research suggest the accuracy rate of 79% of facerecognition. These results were obtained by performing 100 trials of 100 facialimages consisting of 10 students and each student has 10 face images." @default.
- W2249968952 created "2016-06-24" @default.
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- W2249968952 date "2012-01-01" @default.
- W2249968952 modified "2023-09-27" @default.
- W2249968952 title "âPENGENALAN WAJAH DENGAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA) PADA SISTEM ABSENSI REAL-TIME" @default.
- W2249968952 hasPublicationYear "2012" @default.
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