A Needs Study of a Face Detection System using Facial Feature Extraction for Organization Security

Abstract

This study focused on addressing demand and incorporated the outcomes of a face detection system designed and implemented through face feature extraction. The research involved surveying 50 individuals across government, private, and public enterprises to understand their needs. Statistical analysis, including mean and standard deviation, was employed to interpret the data. Evaluation of the research tools, using the Index of-Item-Objective Congruence (IOC) by three experts, revealed that the instruments met all objective requirements. The evaluation results demonstrated that the personnel's needs of the system were effectively addressed, with a mean satisfaction score of 4.46 and a standard deviation of 0.89. This underscores the adequacy of the experiment's instruments and the system's alignment with the identified requirements.