Abstract
Abstract This study aims to analyse what factors can affect the impact of acid mine drainage on the environment and society. With a sample of research respondents being the community around the company, totalling 200 people. The variables used consist of the environmental variable (X3) as the dependent variable and independent variables, namely acid mine drainage (X1) and community social (X2), with each variable being measured by its indicators. This questionnaire is used to measure Statements compiled using the Likert scale with five respondent answers to consumer satisfaction, namely: Strongly Agree (SS), Agree (S), Hesitant (RR), Disagree (TS), and Strongly Disagree (STS). The data analysis technique used is partial least square-structural equation modelling (PLS-SEM) which is used to predict and develop theory. Partial Least Squares Structural Equation Modelling (PLS-SEM) is a robust and versatile statistical technique commonly employed for data analysis. PLS-SEM is particularly well-suited for exploratory research and when dealing with complex models, small sample sizes, or non-normal data distributions. It allows researchers to simultaneously assess the measurement and structural models, making it an effective tool for understanding complex relationships between variables. Based on the results of the analysis, it is known that Acid mine drainage affects the environment and society with a rms theta model of 0.470.
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More From: IOP Conference Series: Earth and Environmental Science
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