2019
DOI: 10.30598/barekengvol13iss3pp157-170ar898
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Model Sem-PLS Terbaik Untuk Evaluasi Pembelajaran Matematika Diskrit Dengan LMS

Abstract: Research on the use of Structural Equation Modelling-Partial Least Square (PLS-SEM) related to Learning Management System LMS has developed very rapidly. 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. 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 Q2, AIC, AICu, AICc, BIC, HQ, and HQc. Data obtained from a survey of… Show more

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Cited by 8 publications
(5 citation statements)
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“…In terms of model interpretation, the SEM-PLS model is more powerful because it is able to describe the relationship of each variable and is better than the SVR model when the model has a linear relationship. The results of this study are strengthened by research conducted by Ni Wayan Ayuni which states that the FFNN model is able to produce the best model when compared to the multiple linear regression model [20]. In addition, it is also supported by research by Ayu Mahdiah et al which states that the backpropagation model (FFNN) is a model that has the highest accuracy value compared to the SVR model.…”
Section: Comparison Modelsupporting
confidence: 51%
“…In terms of model interpretation, the SEM-PLS model is more powerful because it is able to describe the relationship of each variable and is better than the SVR model when the model has a linear relationship. The results of this study are strengthened by research conducted by Ni Wayan Ayuni which states that the FFNN model is able to produce the best model when compared to the multiple linear regression model [20]. In addition, it is also supported by research by Ayu Mahdiah et al which states that the backpropagation model (FFNN) is a model that has the highest accuracy value compared to the SVR model.…”
Section: Comparison Modelsupporting
confidence: 51%
“…The aim of this test is to ensure that the measurement model is valid and reliable. According to Mardiana & Faqih (2019), the three indicators that must be evaluated are (1) convergent validity is to measure the model is bias-free; (2) discriminant validity is to measure the model is consistent; and (3) composite reliability is to measure the model is reliable. The number for model is classified as valid and reliable should be above 0.60.…”
Section: Data Analysis Methodsmentioning
confidence: 99%
“…Evaluasi Model Struktural (Inner Model) bertujuan memprediksi hubungan antar variabel laten berdasarkan teori subtantif dengan menggunakan R-square untuk konstruk endogen dan nilai t-statistik dari pengujian koefisien jalur. Dalam evaluasi ini terdapat beberapa indikator yang perlu diperhatikan yaitu: koefisien determinasi (R2), koefisien jalur (Path Coefficient), T-Statistic, predictive relevance (Q2), dan F-square (Mardiana, 2019).…”
Section: Persamaan Model Pengukuran (Outer Dan Inner Model)unclassified