Implementasi Sistem Absensi Siswa Berbasis Deteksi Wajah, Warna Dan Logo Seragam

  • Asrul Asrul Universitas Syiah Kuala


Uniform is one of the driving factors to improve student discipline. The current problem is that checking uniforms and attendance to improve student discipline is still done manually. In previous studies, the attendance system only detected the face, which means that it was not able to detect the uniform color used by students and also the logo as the identity of student uniforms. Thus, they could freely use any uniform when entering the classroom. This study aims to update the manual attendance system to the computer by detecting facial parts and uniform colors and logos. Faces that have been previously recorded and stored in a database are then used to detect faces which are then compared with faces in the database and recognize uniform colors and logos. The method used for this research is the ViolaJones method which functions to detect facial parts. Meanwhile, the RGB color Thresholding method is used to detect a uniform color, and  the Template Matching Algorithm is used to detect a uniform logo. The best results are obtained from testing with a distance parameter of 50 cm and an accuracy level of 92.9%. The time required is 2.2 seconds using a 2 MP camera.


[1] C. S dan M. V. Raghunadh, “Automated attendence management system based on face recognition algoritthms,” dalam IEEE, 2013.
[2] M. G. K, Balaji dan S. B, “Implementation of Automated Attendance System,” Scientific & Engineering Research, vol. VI, no. 3, pp. 30-33, 2015.
[3] P. Viola dan M. Jones, “Rapid Object Detection using a Boosted Cascade of Simple,” dalam IEEE Computer Society Conference on Computer Vision and Pattern Recognition, -, 2001.
[4] M. Chaudhari, S. sondur dan G. Vanjare, “A review on Face Detection and study of Viola Jones method,” International Journal of Computer Trends and Technology (IJCTT), vol. 25, no. 1, pp. 54-61, 2015.
[5] R. M. Jusoh, N. Hamzah, M. H. Marhaban dan N. M. A. A. , “Skin Detection Based on Thresholding in RGB,” IEEE Symposium on Industrial Electronics and Applications, penang, Malaysia, 2010.
[6] N. Noorl, N. Khalid dan N. Ariff, “Optic Cup and Disc Color Channel Multithresholding Segmentation,” dalam International Conference on Control System, Computing and Engineering, Malaysia, 2013.
[7] E. B. Setiawan dan B. Kurniawan, “Perancangan Sistem Absensi Kehadiran Perkuliahan dengan Menggunakan Radio Frequency Identification (RFId),” Jurnal CoreIT, vol. 1, no. 2460, pp. 45-49, 2015.
[8] A. W. Y. Wai, S. M. Tahir dan Y. C. Chang, “GPU Acceleration of Real Time Viola-Jones Face,” dalam International Conference on Control System, Computing and Engineering,, Malaysia, 2015.
[9] M. D. Putro, T. B. Adji dan B. Winduratna, “Sistem Deteksi Wajah dengan Menggunakan,” dalam Science, Engineering and Technology, yoyakarta, 2012.
[10] W. Ge, C. Han dan W. Quan, “human face detection in complex background based on adaboost algorithm and ycbcr skin color model,” dalam international conference control system computer, -, 2016.
[11] A. Suharso, “Pengenalan Wajah Menggunakan Metode Viola-Jones dan Eigenface Dengan Variasi Posisi Wajah Berbasis Webcam,” dalam TechnoXplore, jawa barat, 2016.
[12] H. A. Kardile, “Face Recognition using PCA and Eigen Face Approach,” International Research Journal of Engineering and Technology (IRJET), vol. 4, no. 12, pp. 460-463, 2017.
[13] R. Brunelli, Template Matching Techniques in Computer Vision, -: Wiley, 2009.
[14] A. B. Sukmaarta, D. Syauqy dan T. , “Sistem Pendeteksi Jenis Buah ManggaMenggunakan Metode Template Matching,” Pengembangan Teknologi Informasi dan Ilmu Komputer, vol. 2, no. 12, pp. 6679-6687, 2018.
[15] P. Irgens, C. Baderl, T. Lé, D. Saxen dan C. A. , “An efficient and cost effective FPGA based implementation,” Electrical and Computer Engineering, Marquette University, USA, 2017.
[16] B. I. Y. B. Muhammad Rizzki Muliawan, “Implementasi Pengenalan Wajah Dengan Metode Eigenface Pada Sistem Absensi,” Sistem Komputer Untan, vol. III, pp. 41-50, 2015.