Penerapan Face Recognition dengan Algoritma Viola Jones dalam Sistem Presensi Kehadiran Siswa Berdasarkan Titik Lokasi Berbasis Website

Authors

  • Akbar Syarif Pratama Putra Universitas Duta Bangsa, Indonesia
  • Afu Ichsan Pradana Universitas Duta Bangsa, Indonesia
  • Anindhiasti Ayu Kusuma Asri Universitas Duta Bangsa, Indonesia
  • Elia Hari Prasetya Universitas Surakarta, Indonesia

DOI:

https://doi.org/10.33379/gtech.v8i3.4512

Keywords:

Face Recognition, Viola Jones, Presence, Coordinate

Abstract

The Viola-Jones calculation is a commonly used facial recognition calculation. Significant innovation in the form of human facial recognition systems serves as an important security and control tool, and has a variety of other applications. This fits the test's aim of highlighting the usefulness of Viola-Jones calculations in facial recognition, especially in the context of understanding student identity at SMA Negeri 2 Surakarta. This exploration aims to grow the student participation framework at SMA Negeri 2 Surakarta by utilizing facial recognition technology with Viola Jones calculations. remember the focus area. The participation framework creates a plan to improve the adequacy and productivity of supervision of student participation. One is not completely satisfied with the suitability of the registered facial images within the framework of the data set. The digital application used by this facial recognition program is Laravel 11 which is supported on the Windows 11 work system. This test uses 200 images of 20 individuals with different appearances. The cycle achievement rate of facial recognition is approximately 90%. Several elements influence location progress, including lighting, face distance, and face position.

References

Fachmi, Z., Sudarma, M., & Jasa, L. (2019). Sistem Monitoring Kehadiran Perkuliahan Menggunakan Face Detection Dengan Algoritma Viola Jones. Maj. Ilm. Teknol. Elektro, 18(1), 119.

Pramono, A., Ardanari, P., & Maslim, M. (2020). Pembangunan Aplikasi Presensi Magang Berbasis Mobile Menggunakan Face Recognition. Jurnal Informatika Atm Jogja, 1(1), 11-17.

Prastya, M. A. (2019). SISTEM PENGENALAN WAJAH MANUSIA MENGGUNAKAN ALGORITMA VIOLA-JONES DAN PRINCIPAL COMPONENT ANALYSIS. Ubiquitous: Computers and its Applications Journal, 2(2), 85-92. DOI: http://dx.doi.org/10.51804/ucaiaj.v2i2.85-92.

Zulfachmi, M. S., & Jasa, L. Sistem Monitoring Kehadiran Perkuliahan Berbasis Face Detection Menggunakan Algoritma Viola Jones.

Yuliana, Y., & Nurhaida, I. (2018). Rancang Bangun Aplikasi Pengenalan Wajah menggunakan Metode Viola-Jones dan Algoritma PCA. InComTech: Jurnal Telekomunikasi dan Komputer, 8(3), 196-204.

Pamungkas, R., Wahiddin, D., & Mudzakir, T. (2023). Sistem Presensi Pegawai Menggunakan Face Recognition dengan Algoritma Local Binary Pattern Histogram (LBPH). Scientific Student Journal for Information, Technology and Science, 4(1), 123-128.

Damanik, R. R., Sitanggang, D., Pasaribu, H., Siagian, H., & Gulo, F. (2018, April). An application of viola jones method for face recognition for absence process efficiency. In Journal of Physics: Conference Series (Vol. 1007, No. 1, p. 012013). IOP Publishing. DOI 10.1088/1742-6596/1007/1/012013.

Widjaja, A. E., Hery, H., & Hareva, D. H. (2021). The Office Room Security System Using Face Recognition Based on Viola-Jones Algorithm and RBFN. INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi, 5(1), 1-12.

Putri, R. E., Matulatan, T., & Hayaty, N. (2019). Sistem Deteksi Wajah Pada Kamera Realtime dengan menggunakan Metode Viola Jones. Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan, 8(1), 30-37. DOI: https://doi.org/10.31629/sustainable.v8i1.526.

Susim, T., & Darujati, C. (2021). Pengolahan Citra untuk Pengenalan Wajah (Face

Recognition) Menggunakan OpenCV. Jurnal Syntax Admiration, 2(3), 534-545.

Ismael, K. D., & Irina, S. (2020). Face recognition using Viola-Jones depending on Python. Indonesian Journal of Electrical Engineering and Computer Science, 20(3), 1513-1521.

Buana, I. K. S. (2021). Penerapan Pengenalan Wajah Untuk Aplikasi Absensi dengan Metode Viola Jones dan Algoritam LBPH. Jurnal Media Informatika Budidarma, 5(3), 1008-1017. DOI: http://dx.doi.org/10.30865/mib.v5i3.3008.

Identifikasi Jenis Kelamin Otomatis Berdasarkan mata Manusia Menggunakan Convolutional neural network (CNN) Dan haar Cascade classifier | G-tech: Jurnal Teknologi Terapan. (2024, January 6). ejournal.uniramalang.ac.id | 502: Bad gateway. https://ejournal.uniramalang.ac.id/index.php/g-tech/article/view/3814

Published

2024-07-05

How to Cite

Penerapan Face Recognition dengan Algoritma Viola Jones dalam Sistem Presensi Kehadiran Siswa Berdasarkan Titik Lokasi Berbasis Website. (2024). G-Tech: Jurnal Teknologi Terapan, 8(3), 1739-1748. https://doi.org/10.33379/gtech.v8i3.4512

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