Year: 2025
Type: article
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
Author: Tomi Yulianto
Institution: Swiss German University
Language: English
Topic: AI and HR Technologies
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4414875363
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