AWS Cloud Services for Missing Punch Detection in Time and Attendance Systems: An Automated Approach

Authors

  • Vidyullatha Satti Amazon

DOI:

https://doi.org/10.47941/jts.3575

Keywords:

Time and Attendance, AWS Cloud Services, Missing Punch Detection, Workplace Automation, Machine Learning, Mobile Solutions, Workforce Management

Abstract

This study examines the implementation of AWS cloud services to address the critical challenge of missing punch entries in time and attendance systems, a problem that significantly impacts organizational efficiency and labor cost management. The research proposes an integrated solution leveraging AWS Lambda, Event Bridge, SNS, DynamoDB, and Amplify to create an automated, real-time detection and resolution system for missing punches. Through the implementation of a smart notification framework and mobile-first approach, the solution demonstrates significant reduction in manual intervention and administrative overhead. The study reveals that automated detection coupled with immediate notification reduces missing punch incidents by approximately 85%, while decreasing resolution time from hours to minutes. This research contributes to the growing body of knowledge in workplace automation and provides a scalable framework for organizations seeking to optimize their time and attendance management systems through cloud-based solutions.

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Published

2026-03-24

How to Cite

Satti , V. (2026). AWS Cloud Services for Missing Punch Detection in Time and Attendance Systems: An Automated Approach. Journal of Technology and Systems, 8(1), 35–48. https://doi.org/10.47941/jts.3575

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