Modeling The Success of Face Recognition Boarding Using the Delone and Mclean Framework: A Case Study in Daop II Bandung
Abstract
This study aims to describe and test the success model of information systems in face recognition boarding services in Operation Area II (Daop II) Bandung using the DeLone and McLean framework. The approach used is quantitative using the Structural Equation Modelling–Partial Least Squares (SEM-PLS) method. Primary data was collected from 118 respondent service users through a questionnaire. The model was tested based on six constructs: system quality, information quality, service quality, usability, user satisfaction, and net benefits. The results of the analysis show that most of the relationships between variables are statistically significant. The quality of information and services has a positive effect on user usage and satisfaction. Instead, the quality of the system only affects usage and is not significant to satisfaction. User satisfaction proves to be the most powerful predictor of net benefits. This research makes a theoretical contribution to the testing of the DeLone and McLean models in the Indonesian public transportation sector and expands the context of its application to biometric systems.
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