Sistem Keamanan Loker Arsip Menggunakan Metode Face Recognition
DOI:
https://doi.org/10.56655/winco.v3i1.178Keywords:
facial recognition, image processing, raspberry pi, security systemAbstract
Facial recognition systems can be used for locker security. The system uses a raspberry pi as a data processing center, a webcam camera is used to read the user's face, and a door lock solenoid. The system is integrated with the website system to store user usage history and display video captures of users currently or about to open archive lockers. The archive locker will only open if the system detects a recognized face input that has been registered in the dataset. If the face is not recognized by the system, then the archive locker will not open. The results of the facial recognition test using 4 registered users in the dataset, the results show that the system is able to recognize the four users' faces according to the registered dataset. The camera is capable of detecting faces with a distance range of 40-100 cm. Outside that range, the system cannot recognize faces properly. Based on the test data of the archive locker security system, the system is able to recognize registered users properly and historical data can be stored on the website.
References
Efrianto, Ridwan, and I. Fahruzi, “Sistem Pengaman Motor Menggunakan Smartcard Politeknik Negeri Batam Electrical Engineering study Program,” Integrasi, vol. 8, no. 1, pp. 1–5, 2016.
A. Taqwa et al., “1) , 2) , 3),” Ranc. Bangun Kunci Loker Mhs. Di Politek. Negeri Sriwij. Menggunakan Fingerpr. dan Password Berbas. Arduino Mega 2560 Dengan SIM1900A, vol. 9, no. 2, p. 4045, 2019.
Annisya, L. Hermanto, and R. Candra, “Sistem Keamanan Buka Tutup Kunci Brankas Menggunakan Sidik Jari Berbasi Arduino Mega,” J. Inform. dan Komput., vol. Volume 22, no. 1, pp. 1–9, 2017.
R. W. MALAU, “RANCANG BANGUN SMART LOCK DOOR DENGAN INTERNET OF THINGS,” Universitas Mercu Buana Jakarta, 2019.
M. Waluyo, “Desain Ulang Lemari Arsip Fleksibel Dengan Pendekatan Perancangan Generik,” J. Teknol. DAN Manaj. Ind., vol. 4, pp. 13–17, 2018.
R. Suwartika and G. Sembada, “Perancangan Sistem Keamanan Menggunakan Solenoid Door Lock Berbasis Arduino Uno pada Pintu Laboratorium di PT. XYZ,” J. E-KOMTEK, vol. 4, no. 1, pp. 62–74, 2020.
S. C. Hoo and H. Ibrahim, “Biometric-Based Attendance Tracking System for Education Sectors: A Literature Survey on Hardware Requirements,” J. Sensors, vol. 2019, p. 7410478, 2019.
T. Susim and C. Darujati, “Pengolahan Citra untuk Pengenalan Wajah (Face Recognition) Menggunakan OpenCV,” J. Syntax Admiration, vol. 2, no. 3, pp. 534–545, 2021.
Habiburrahman, I. Kurniawan, and T. Irfan, “Sistem Presensi Otomatis Kelas Berbasis Face Recognition,” J. Otomasi Kelistrikan dan Energi Terbarukan, vol. 1, no. 1, p. 51, 2019.
C. Lesmana, R. Lim, and L. W. Santoso, “Implementasi Face Recognition menggunakan Raspberry pi untuk akses Ruangan Pribadi,” J. Infra, vol. 7, no. 1, pp. 63–66, 2019.
R. Pi, “Raspberry pi 3 model b,” online].(https//www. raspberrypi. org, 2015.
I. A. Nugraha, F. Pradana, and A. Arwan, “Pengembangan Sistem Manajemen Notulensi dan Dokumentasi Rapat Berbasis Web (Studi Kasus: Jurusan Teknik Informatika Fakultas Ilmu Komputer Universitas Brawijaya),” J. Pengemb. Teknol. Inf. dan Ilmu Komput. e-ISSN, vol. 2548, p. 964X, 2020.
M. E. Nurlana, “Pembuatan Power Supply dengan Tegangan Keluaran Variabel Menggunakan Keypad Berbasis Arduino Uno,” Edu Elektr. J., vol. 8, no. 2, pp. 53–59, 2019.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Dwita Nuraini Diatma, Arif Sumardiono, Erna Alimudin
This work is licensed under a Creative Commons Attribution 4.0 International License.
