Online Attendance Monitoring System Using QR Code (OAMS)

Mishra, Shubham; Kumar, Chandan; Ali, Ahmed B.A.; Bala, Jeevan

doi:10.1109/iciem51511.2021.9445304

Cited by 7 publications

(2 citation statements)

References 6 publications

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“…QR code dapat dibaca oleh smartphone dan dapat melakukan encoding lebih dari 4000 karakter dalam barcode dua dimensi [22]. Barcode merupakan label optik yang dapat dikenali mesin yang berisi tentang data yang ditambahkan [23] . QR code dapat menyimpan hampir semua jenis data yaitu data numerik, alfabet, special, dan binary [24].…”

Section: F Quick Response (Qr) Codeunclassified

Perbandingan Face Recognition dan QR Code Dalam Sistem Absensi Menggunakan Geolocation Berbasis Mobile

Suniantara

Linawati

Manuaba

2022

JTE

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Abstract— The development of increasingly sophisticated technology makes mobile devices become main alternative in managing life's affairs. Mobile device that offers services and computing is a smartphone. The sophistication of smartphone technology can be used to process attendance. Attendance system is a system that can record presence of each user, attendance system can be processed using several types of attendance including conventional attendance using a signature and digital attendance using Face Recognition and QR code. Processing attendance system, the geolocation feature can be used to find location. This study aims to explain and determine the best digital attendance method between Face Recognition and QR code using geolocation. Based on the explanation of previous research and comparing the Face Recognition and QR code methods in processing the attendance system, the results obtained that the QR code method is the best method for digital attendance because it has high accuracy and is easier to implement. Key Words— Attendance System, Mobile Device, Geolocation, Face Recognition, QR code

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Section: F Quick Response (Qr) Codeunclassified

Perbandingan Face Recognition dan QR Code Dalam Sistem Absensi Menggunakan Geolocation Berbasis Mobile

Suniantara

Linawati

Manuaba

2022

JTE

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“…To prevent fraudulent activities in attendance monitoring, the use of cameras for verification purposes was introduced. Some studies even took it to the next level by applying machine learning algorithms for facial recognition along with other integrative technologies such as QR code scanners (7,9,10) . But so far, the solutions presented do not clearly provide a concrete technical and methodical embodiment for implementation in the real world.…”

Section: Introductionmentioning

confidence: 99%

In-Classroom Faculty Attendance Monitoring System based on Ultra High Frequency (UHF) Radio Frequency Identification (RFID) with Captured Image Cross-verification Mechanism

Calo¹,

Barbosa²,

Llevado³

2021

IJST

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Objectives: Faculty attendance in schools are monitored based on Daily Time Record (DTR) which captures a daily time-in and time-out of teachers in and out of the school campus using various technologies and methods, however there is a scarcity of studies in monitoring faculty attendance in the actual bounds of the classroom. Hence, this study aimed to develop an In-Classroom Faculty Attendance Monitoring System based on Ultra High Frequency (UHF) Radio Frequency Identification (RFID) with captured image cross-verification mechanism. Methods: The system comprises two modules, namely the Teacher Attendance Module and Attendance Monitoring Web Application module. The Teacher Attendance Module, it is composed of a UHF-RFID reader and a camera module that is interfaced to the Raspberry Pi board. Passive tags are embedded on the teachers' ID cards for them to be uniquely identified by the UHF-RFID reader when they are within the 2meter read distance. Meanwhile, the Attendance Monitoring Web Application module is developed using a PHP framework connected to a MySQL database. It aggregates the attendance data collected from the Teacher Attendance Module for monitoring purposes which is accessible to both the monitoring staff and teachers via a web browser. Findings: Based on the evaluation results, the proposed system received positive feedback from the end users in terms of its functionality and usability and was found to be more favorable over existing attendance monitoring systems. Novelty: The system provides a non-obtrusive way of checking teachers' attendance by utilizing the UHF-RFID technology which has a longer read range than other RFID categories used in previous studies. Moreover, unlike existing solutions, the system checks for attendance multiple times, not only during entrance and exit which then calculates the https://www.indjst.org/

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