Enhancing Employee Attendance Systems Through Integrated Monitoring And Automation

Main Article Content

Tomi Yulianto

Abstract

This study introduces a hybrid Employee Attendance System that integrates facial recognition with behavioral analytics for predictive absenteeism tracking. Through a pilot study in three multinational organizations, the system demonstrated a 25% improvement in attendance accuracy and a 40% reduction in manual HR interventions. The framework prioritizes data privacy through blockchain-enabled anonymization, ensuring compliance with global privacy laws. With advanced AI capabilities and cross-cultural adaptability, this system redefines attendance monitoring as a driver of organizational efficiency and employee satisfaction

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How to Cite
Yulianto, T. (2025). Enhancing Employee Attendance Systems Through Integrated Monitoring And Automation. International Journal of Educational Research Excellence (IJERE), 4(2), 829–835. https://doi.org/10.55299/ijere.v4i2.1572
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