The results of the study show that the Main Model is better based on the Q 2 value compared to other models in this study. The best model is determined based on the highest Q 2 value, and the least AIC, AICu, AICc, BIC, HQ and HQc values. Based on the Main Model, 16 alternative models are created with the same manifest variables as the Main Model.
The Main Model is formed based on all research latent variables and evaluated by stages 1) PLS-Algorithm, 2) Bootstrapping and 3) Blindfolding. Data obtained from a survey of 109 3rd semester students who took Discrete Mathematics courses at STMIK IKMI Cirebon using 5 latent variables.
This study aims to select the best SEM-PLS model related to evaluating the use of LMS in Discrete Mathematics learning based on the criteria of Q 2, AIC, AICu, AICc, BIC, HQ, and HQc. However, in these studies, it was not explained how to choose the best model used to evaluate the relationship among latent variables in the model. Research on the use of Structural Equation Modelling-Partial Least Square (PLS-SEM) related to Learning Management System LMS has developed very rapidly.
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