Analysis of Factors Affecting Barriers to Learning English for Students Using SEM-PLS

Abstract

This paper intends to estimate a structural equation model that can represent the
relationship between latent variables, and the relationship between latent variables
and indicator variables. The latent variables studied in this research are Campus
Environment (KPS), Family Environment (LK), Community Environment (LM),
and Seating (TD) on oneself (DS). The method used to analyze the data is
Structural Equation Modeling (SEM) based on Partial Least Square (PLS). The
research data was obtained through a survey using a questionnaire of Padjadjaran
University students with simple random sampling technique. The research result
shows that (1) Campus Environment has a significant positive influence on
Oneself by 23.5%. (2) Family Environment has a significant positive influence on
Oneself by 30.6%. (3) Community Environment has a significant positive
influence on Oneself by 22.8%. (4) Seating has a significant positive influence on
Oneself by 20.8%. The SEM model formed has a coefficient of determination (Rsquared) of 0.90. So, SEM-PLS is an analysis that can provide information that
can be used as a support for making learning process policies.