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bibo:abstract "The massive acceleration of digital transformation demands superior human resources to overcome the significant skills gap between formal education graduates and actual industry requirements. This study aims to comprehensively evaluate the success of the competency-based e-learning platform, Dicoding Academy, using the updated DeLone & McLean Information Systems Success Model (2003). The evaluation is conducted by examining the causal effects of system quality, information quality, and service quality on system use, user satisfaction, and the net benefits of the platform. This research applied an associative quantitative approach by collecting data through a self-administered online Likert-scale survey. The sample was selected using a purposive sampling technique, successfully involving 80 respondents representing general users of Dicoding Academy. The collected quantitative data were then analyzed using descriptive statistics and Structural Equation Modeling - Partial Least Squares (SEM-PLS) operated via SmartPLS 3 software. Descriptive analysis results indicated a highly positive system success evaluation with an overall mean score of 4.30 (\"Very Satisfied\"). Structural model testing demonstrated that system quality significantly influences only user satisfaction. Conversely, both information quality and service quality significantly impact use as well as user satisfaction. Although use significantly affects user satisfaction, it does not directly translate into significant net benefits. Ultimately, user satisfaction is proven to be the primary and most dominant predictor in driving net benefits, which are reflected in the enhancement of the users' programming skills and career competitiveness."^^xsd:string;
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