NFC Integrated IoT based Attendance with Data Analytics

This paper introduces a smart attendance system that integrates NFC and IoT technologies to enhance the monitoring and analysis of attendance data in classrooms. The study aims to examine the effectiveness of this system in improving attendance tracking and reducing teacher workload. Two research qu...

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Bibliographic Details
Main Authors: Lim, Jin-Yung, Tan, Juin-Hong, Liew, Zu-Wei, Wang, Lillian-Yee-Kiaw
Format: Conference Proceeding
Language:English
Subjects:
Attendance system
Cloud computing
Data analysis
Data Analytics
Information and communication technology
IoT
NFC
Performance evaluation
Prototypes
Raspberry Pi
System performance
Visualization
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Summary:This paper introduces a smart attendance system that integrates NFC and IoT technologies to enhance the monitoring and analysis of attendance data in classrooms. The study aims to examine the effectiveness of this system in improving attendance tracking and reducing teacher workload. Two research questions are addressed: 1) Does the integration of NFC and IoT technologies enhance attendance monitoring and analysis? 2) Does the proposed system significantly improve attendance tracking efficiency and reduce teacher workload? The study proposes two hypotheses: Hypothesis 1 suggests that the integration of NFC and IoT technologies significantly enhances attendance monitoring and analysis, while Hypothesis 2 states that the proposed system significantly improves attendance tracking efficiency and reduces teacher workload. The proposed smart attendance system's conceptual contribution lies in its integration of IoT and NFC technologies, offering an efficient and reliable attendance tracking solution with data analytics capabilities. It contributes to the IoT field by showcasing the effectiveness of IoT devices and data analytics in an educational context. Moreover, it enhances the education field by enabling better monitoring and analysis of students' attendance and performance. The methodology involves a novel approach that combines IoT and NFC technologies for attendance tracking. The system's performance will be evaluated through experiments to determine its effectiveness in enhancing attendance tracking and reducing teacher workload. This empirical evidence will provide insights into the potential of the proposed system to optimize educational processes and outcomes.
ISSN:2162-1241
DOI:10.1109/ICoICT58202.2023.10262728