Real Time Attendance System With Face Recognition Using Deep Learning Methods (Case Study At Pt.Sriwijaya87 Indonesia)

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Fullchis Nurtjahjani, Milyunni’Ma Shoumi, Kadek Suarjuna Batubulan, Anefany Novitasari

2024 Quality - Access to Success Vol. 25 Issue 202 Article Cited by 1 Quartile

Abstract

Employee attendance is crucial for a company because it is one indicator for determining an employee's salary or wages. Implementing the attendance process requires thoroughness so that it helps work activities in the company and produces accurate and correct attendance reports. Many companies have utilized technology that implements facial recognition to verify employee attendance. However, some companies still need to use the traditional method, which takes longer. Therefore, facial recognition is beneficial in terms of verifying attendance in the attendance system to speed up the process of recording and verifying the person. Tests were carried out on a total of 20 employees who took the attendance test using face recognition, all of them succeeded in carrying out attendance, and attendance data was recorded on the attendance website of PT. Srivijaya 87. In this study, we developed a website-based attendance system integrated with a facial recognition system using a deep learning method that can work in real-time to record employee attendance. This system is proven to simplify the attendance process and can recognize all employee data stored in the database with an average accuracy of 93. © 2024, SRAC - Romanian Society for Quality. All rights reserved.

Affiliations

Department of Commercial Administration, Malang Stat ePolytechnic, Indonesia; DepartmentofInformationTechnology, Malang State Polytechnic, Indonesia