Attendance Mobile Application With Face Recognition and Detect Location

  • Andika Bayu Hasta Yanto Universitas Bina Sarana Informatika
  • Ahmad Fauzi Universitas Bina Sarana Informatika
  • Novita Indriyani
Keywords: Application, Mobile, Face Recognition, Detect Location, Attendance

Abstract

Every company must have an attendance policy for each of its employees for the purpose of employee attendance and performance reports in the performance of their work, but currently there are still many companies that still have an absence system that is not computerized, so the calculation and accounting process is still done manually, because everything is calculated manually, it is possible that there are errors in the calculations and take time to process data absence of all employees. Therefore, an application that can automatically process and record data is needed to avoid errors and speed up the data processing process. In addition, the application can facilitate employees' attendance as it can be accessed directly from cell phones by using facial recognition and location detection to prove the attendance of employees.

References

D. Riswanda and A. T. Priandika, “Analisis Dan Perancangan Sistem Informasi Manajemen Pemesanan Barang Berbasis Online,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 2, no. 1, pp. 94–101, 2021, [Online]. Available: http://jim.teknokrat.ac.id/index.php/informatika/article/view/730.

S. Surahman and E. B. Setiawan, “Aplikasi Mobile Driver Online Berbasis Android Untuk Perusahaan Rental Kendaraan,” J. Ultim. InfoSys, vol. 8, no. 1, pp. 35–42, 2017, doi: 10.31937/si.v8i1.554.

Anggraeni, E. Yunaeti, and R. Irviani, Pengantar Sistem Informasi. Yogyakarta: CV. ANDI OFFSET, 2017.

L. Septi and S. Wellia Shinta, “Perancangan Aplikasi Mobile E-Commerce Berbasis Android Pada Violet Fashion Jepara,” Sist. Inf., no. 5, p. 2, 2015.

Syahidi, Subandi, and A. Akhrian, Basis Data Teori dan Praktik Menggunakan Microsoft Office. Sleman: POLIBAN PRESS., 2018.

H. A. P. Yudho Yudanto, No Title. Jakarta: PT.Elex Media Komputindo, Jakarta, 2018.

U. P. Ardhi Wijayanto, Arif Rohmadi, Membangun Web Api Dengan Lumen 5.5. Jakarta: Ardhi Wijayanto, 2018.

Y. P. W. Rizky Syaputra, Happy Flutter. Tanggerang: Udacoding, 2019.

L. M. Kurniawan, “Metode Face Recognition untuk Identifikasi Personil Berdasar Citra Wajah bagi Kebutuhan Presensi Online Universitas Negeri Semarang,” Sci. J. Informatics, vol. 1, no. 2, pp. 210–220, 2015, doi: 10.15294/sji.v1i2.4027.

H. R. Pangestu, P. Studi, T. Informatika, F. Latifah, P. Studi, and K. Akuntansi, “Karyawan Dengan Metode Waterfall Berbasis Web Pada Pt . Mero Sekawan,” vol. 4, no. 2, pp. 13–18, 2018.

N. Kurniawan, “Aplikasi Smart Presensi Menggunakan Multi-Face Recognition,” pp. 20–26, 2020.

B. T. Utomo, I. Fitri, and E. Mardiani, “Penerapan Face Recognition pada Aplikasi Akademik Online,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 5, no. 4, p. 420, 2021, doi: 10.35870/jtik.v5i4.244.

A. Pramono, P. Ardanari, and M. Maslim, “Pembangunan Aplikasi Presensi Magang Berbasis Mobile Menggunakan Face Recognition,” J. Inform. Atma Jogja, vol. 1, no. 1, pp. 11–17, 2020, [Online]. Available: https://ojs.uajy.ac.id/index.php/jiaj/article/view/3839.

D. D. Darmansah, N. W. Wardani, and M. Y. Fathoni, “Perancangan Absensi Berbasis Face Recognition Pada Desa Sokaraja Lor Menggunakan Platform Android,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 8, no. 1, pp. 91–104, 2021, doi: 10.35957/jatisi.v8i1.629.

A.- Suryansah, R.- Habibi, R. M. Awangga, and R. N. S. Fatonah, “Implementasi Face Recognition Untuk Mengakses Ruangan,” J. Mediat., vol. 3, no. 3, p. 25, 2020, doi: 10.26858/jmtik.v3i3.15176.

F. A. Azhari and R. Mukhaiyar, “Door Security System Menggunakan Teknologi Biometric Face Recognition,” Ranah Res. J. Multidiscip. Res. Dev., vol. 3, no. 3, pp. 76–84, 2021, [Online]. Available: https://jurnal.ranahresearch.com/index.php/R2J/article/view/397.

M. Arsal, B. Agus Wardijono, and D. Anggraini, “Face Recognition Untuk Akses Pegawai Bank Menggunakan Deep Learning Dengan Metode CNN,” J. Nas. Teknol. dan Sist. Inf., vol. 6, no. 1, pp. 55–63, 2020, doi: 10.25077/teknosi.v6i1.2020.55-63.

Rudi Kurniawan and A. Zulius, “Smart Home Security Menggunakan Face Recognition Dengan Metode Eigenface Berbasis Raspberry Pi,” J. Sustain. J. Has. Penelit. dan Ind. Terap., vol. 8, no. 2, pp. 48–56, 2019, doi: 10.31629/sustainable.v8i2.1484.

Astrid Nabila Prima, Cipto Prabowo, and Rasyidah, “Sistem Absensi dengan OpenCV Face Recognition dan Raspberry Pi,” JITSI J. Ilm. Teknol. Sist. Inf., vol. 1, no. 2, pp. 57–66, 2020, doi: 10.30630/jitsi.1.2.12.

S. Satwikayana, S. Adi Wibowo, and N. Vendyansyah, “Sistem Presensi Mahasiswa Otomatis Pada Zoom Meeting Menggunakan Face Recognition Dengan Metode Convulitional Neural Network Berbasis Web,” JATI (Jurnal Mhs. Tek. Inform., vol. 5, no. 2, pp. 785–793, 2021, doi: 10.36040/jati.v5i2.3762.

A. Roihan, N. Rahayu, and D. S. Aji, “Perancangan Sistem Kehadiran Face Recognition Menggunakan Mikrokomputer Berbasis Internet of Things,” Technomedia J., vol. 5, no. 2, pp. 155–166, 2020, doi: 10.33050/tmj.v5i2.1373.

A. P. Kuncoro and A. Purnomo, “SATIN – Sains dan Teknologi In form asi Pengembangan Sistem Informasi Berbasis Website s ebagai Media Pengelolaan Peminjaman dan Pengembalian Alat,” vol. 4, no. 2, 2018.

Published
2022-06-25