Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Vol 5 No 1 (2021): JANUARI-MARET 2021

Implementasi Deep Learning untuk Sistem Keamanan Data Pribadi Menggunakan Pengenalan Wajah dengan Metode Eigenface Berbasis Android

Lintang Bagas Adrianto (Program Studi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional)
Mohammad Iwan Wahyuddin (Program Studi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional)
Winarsih Winarsih (Program Studi Informatika, Fakultas Teknologi Komunikasi dan Informatika, Universitas Nasional)

Article Info

Publish Date
30 Mar 2021

Abstract

The development of technology in security systems combined with facial recognition, of course, makes every protected data safe. Many methods can be combined with a security system, one of which is the eigenface method, which is part of facial recognition. In this study, a personal data security system was built using Android-based deep learning. Based on the results of tests carried out on three devices with different Android versions, it is known, if on Android 8.1 (Oreo) the maximum distance is ± 40 cm, on Android 9.0 (Pie) the maximum distance is ± 50 cm, and on the Android version, 10.0 (Q) the maximum distance for facial object recognition is ± 60 cm. From the test results, it is known that by using the eigenface method, the farther the face is from the camera, the face cannot be detected. The implementation of this system is expected to protect personal data safely.

Copyrights © 2021




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Journal Info
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)
Website

Abbrev

jtik

Publisher

Lembaga Komunitas Informasi Teknologi Aceh

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

Description

Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), e-ISSN: 2580-1643 is a free and open-access journal published by the Research Division, KITA Institute, Indonesia. JTIK Journal provides media to publish scientific articles from scholars and experts around the world related to Hardware ...