E-Jurnal

SAS-HRM: Secure Authentication System for Human Resource Management. e jurnal

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To guarantee data confidentiality and information sensitivity, human resource management requires secure systems. In the field of authorization and dependability in recognizing and identifying persons, facial recognition has grown in importance. In this research, a secure authentication system is proposed based on biometric aspects of the user's face and identifying it using the CNN classification model is provided to give access to human resource management and update data. The system is divided into four major stages: First, set up the system environment, beginning with smart cards, card readers, Arduino, and so on. Second, after undergoing pre-treatment steps, the facial characteristics are extracted using LDA. Third, create a high-accuracy CNN model to recognize and classify the user's face among the system's users. Finally, the user is allowed to enter the system and update his information. When compared to the accuracy of classification using machine learning techniques with a CNN proposed model, the accuracy of the model with LDA was up to 100%. K-NN has 91%, while TD has 94%.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

658.3

Penerbit

: Al-Mustansiriyah Journal of Science., 2023

Deskripsi Fisik

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Bahasa

English

ISBN/ISSN

1814-635X

Klasifikasi

658.3

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

Vol. 34 Issue 3

Subjek

PERSONNEL management

Info Detail Spesifik

p64-71. 8p.

Pernyataan Tanggungjawab

-

Versi lain/terkait

Lampiran Berkas

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