Although a fingerprint attendance system has been implemented to improve the accuracy and transparency of student attendance records, several challenges remain, such as errors in fingerprint reading, delays in the attendance monitoring process, power outages, and students failing to record their attendance, which result in less accurate attendance data and prevent the system from operating optimally. The purpose of this study is to determine the influence of system quality and information quality on user satisfaction with the fingerprint attendance system among students at SMA Plus Islamic Village. This study uses a quantitative method based on the DeLone and McLean model. Data collection was conducted through observation, interviews, literature review, and questionnaire distribution, while data analysis was performed using multiple linear regression with the aid of IBM SPSS Statistics 26.0 software. The results indicate that system quality and information quality have a positive and significant influence on user satisfaction with the fingerprint attendance system. Collectively, these two variables account for 69.8% of user satisfaction, while the remainder is influenced by other factors outside the scope of this study. Thus, it has been
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