PENERAPAN FACE RECOGNITION DENGAN ALGORITMA VIOLA JONES DALAM SISTEM PRESENSI KEHADIRAN SISWA DAN GURU PADA SEKOLAH IDN BOARDING SCHOOL JONGGOL
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Sep 10, 2023
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The Viola-Jones algorithm is one algorithm that is often used to detect faces. The human face recognition system is an important technology that functions as a security system, control system, and others. This is in accordance with the research objectives, namely to determine the application of the Viola-Jones algorithm in detecting the faces of students and teachers at SMK IDN Boarding School. This research aims to develop a student and teacher attendance system at IDN Boarding School Jonggol using face recognition technology with the Viola-Jones algorithm. The developed attendance system aims to increase the effectiveness and efficiency in managing the attendance of students and teachers. Then identify attendance by comparing face images registered in the system database. The application used by the face recognition program is PyCharm Community 2023 Version 1.4 with the macOS operating system. The test used various expressions totaling 200 images of 20 people. The percentage of successful face recognition process is 95%. Some factors that affect the success of recognition are lighting, face distance and face position.
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Mulyana, D. I., & Edi. (2023). PENERAPAN FACE RECOGNITION DENGAN ALGORITMA VIOLA JONES DALAM SISTEM PRESENSI KEHADIRAN SISWA DAN GURU PADA SEKOLAH IDN BOARDING SCHOOL JONGGOL. Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 4(3), 1749-1757. https://doi.org/10.35870/jimik.v4i3.398
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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.
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.
Pramono, A., Ardanari, P., & Maslim, M. (2020). Pembangunan Aplikasi Presensi Magang Berbasis Mobile Menggunakan Face Recognition. Jurnal Informatika Atma Jogja, 1(1), 11-17.
Zulfachmi, M. S., & Jasa, L. Sistem Monitoring Kehadiran Perkuliahan Berbasis Face Detection Menggunakan Algoritma Viola Jones.
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.
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.
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.
Susim, T., & Darujati, C. (2021). Pengolahan Citra untuk Pengenalan Wajah (Face Recognition) Menggunakan OpenCV. Jurnal Syntax Admiration, 2(3), 534-545.
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.
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.
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.
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.
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.
Mahmudi, M., & Kusrini, K. (2019). IMPLEMENTASI METODE VIOLA JONES UNTUK MENDETEKSI WAJAH MANUSIA. Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat, 5(1), 54-60. DOI: https://doi.org/10.46808/informa.v5i1.69.
Pawelloi, A. I. (2023). Implementasi Opencv Face Recognition Pada Sistem Presensi Karyawan Koperasi Simpan Pinjam. Jurnal Sintaks Logika, 3(1), 58-61. DOI: https://doi.org/10.31850/jsilog.v3i1.2095.
Hariani, R., & Fadillah, N. (2019). Deteksi Kehadiran Mahasiswa Secara Realtime Menggunakan Webcam dengan metode Viola Jones. InfoTekJar: Jurnal Nasional Informatika dan Teknologi Jaringan, 3(2), 255-258.
Pratomo, A. H. (2019). Pengenalan Wajah untuk Pemantauan Kehadiran Pegawai Menggunakan Metode Viola Jones dan Euclidean Distance. In Seminar Nasional Komunikasi dan Informatika.
Sahfitri, I., Simanjuntak, M., & Nurhayati, N. (2021, June). Penerapan Metode Viola Jones Dalam Sistem Mendeteksi Wajah. In Seminar Nasional Informatika (SENATIKA) (pp. 473-480).
Stevanović, D. (2018). OBJECT DETECTION USING VIOLA-JONES ALGORITHM. KNOWLEDGE-International Journal, 28(4), 1349-1354. DOI: https://doi.org/10.35120/kij28041349D.
Zulfachmi, M. S., & Jasa, L. Sistem Monitoring Kehadiran Perkuliahan Berbasis Face Detection Menggunakan Algoritma Viola Jones.
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.
Sari, K. (2022). Perancangan Sistem Absensi Facial Recognition Menggunakan CNN dan Liveness Detector pada BPR Central Dana Mandiri. Jurnal Informatika Dan Rekayasa Komputer (JAKAKOM), 2(1), 70-80. DOI: https://doi.org/10.33998/jakakom.2022.2.1.63.
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.
Pramono, A., Ardanari, P., & Maslim, M. (2020). Pembangunan Aplikasi Presensi Magang Berbasis Mobile Menggunakan Face Recognition. Jurnal Informatika Atma Jogja, 1(1), 11-17.
Zulfachmi, M. S., & Jasa, L. Sistem Monitoring Kehadiran Perkuliahan Berbasis Face Detection Menggunakan Algoritma Viola Jones.
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.
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.
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.
Susim, T., & Darujati, C. (2021). Pengolahan Citra untuk Pengenalan Wajah (Face Recognition) Menggunakan OpenCV. Jurnal Syntax Admiration, 2(3), 534-545.
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.
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.
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.
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.
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.
Mahmudi, M., & Kusrini, K. (2019). IMPLEMENTASI METODE VIOLA JONES UNTUK MENDETEKSI WAJAH MANUSIA. Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat, 5(1), 54-60. DOI: https://doi.org/10.46808/informa.v5i1.69.
Pawelloi, A. I. (2023). Implementasi Opencv Face Recognition Pada Sistem Presensi Karyawan Koperasi Simpan Pinjam. Jurnal Sintaks Logika, 3(1), 58-61. DOI: https://doi.org/10.31850/jsilog.v3i1.2095.
Hariani, R., & Fadillah, N. (2019). Deteksi Kehadiran Mahasiswa Secara Realtime Menggunakan Webcam dengan metode Viola Jones. InfoTekJar: Jurnal Nasional Informatika dan Teknologi Jaringan, 3(2), 255-258.
Pratomo, A. H. (2019). Pengenalan Wajah untuk Pemantauan Kehadiran Pegawai Menggunakan Metode Viola Jones dan Euclidean Distance. In Seminar Nasional Komunikasi dan Informatika.
Sahfitri, I., Simanjuntak, M., & Nurhayati, N. (2021, June). Penerapan Metode Viola Jones Dalam Sistem Mendeteksi Wajah. In Seminar Nasional Informatika (SENATIKA) (pp. 473-480).
Stevanović, D. (2018). OBJECT DETECTION USING VIOLA-JONES ALGORITHM. KNOWLEDGE-International Journal, 28(4), 1349-1354. DOI: https://doi.org/10.35120/kij28041349D.
Zulfachmi, M. S., & Jasa, L. Sistem Monitoring Kehadiran Perkuliahan Berbasis Face Detection Menggunakan Algoritma Viola Jones.
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.
Sari, K. (2022). Perancangan Sistem Absensi Facial Recognition Menggunakan CNN dan Liveness Detector pada BPR Central Dana Mandiri. Jurnal Informatika Dan Rekayasa Komputer (JAKAKOM), 2(1), 70-80. DOI: https://doi.org/10.33998/jakakom.2022.2.1.63.