Influence Factors about the Compliance of Madurese Community related to COVID-19 Health Protocols based on Structural Equation Modeling-Partial Least Square (SEM-PLS)

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M. Fariz Fadillah Mardianto, et. al.


Corona Virus Disease 2019 (COVID-19) was first discovered at the end of 2019 in Wuhan, China. This virus has spread throughout Indonesia, including Madura. Various government policies that affect the achievement of the Sustainable Development Goals (SDGs) are affected. To anticipate the impact of the spread of COVID-19, one of them is by forming a Task Force for the Acceleration of Handling COVID-19. Through this institution, the government is intensively socializing the “3M movement” during the adaptation of new habits. The 3M movement includes wearing masks, washing hands, and keeping a distance. In implementing government policies, adherence to health protocols is very important as a determinant of the success of government policies. However, in reality, this policy is not fully complied with by the community. This study aims to analyze what factors influence the perception of community compliance with health protocol compliance, in Madura. One of the analytical methods that can be used to analyze the factors that influence a situation is Structural Equation Modeling Partial Least Square (SEM-PLS). The endogenous variable in this study is compliance, while the exogenous variables are knowledge, environment, facilities, policies, routines, socialization, and personal factors. Based on the analysis conducted using the Structural Equation Modeling Partial Least Square (SEM-PLS) method, it can be concluded that the knowledge and socialization variables have a significant effect on the personal factor variables. Knowledge and socialization have a positive effect on personal factors with a path coefficient value of 0.512 for knowledge and 0.278 for socialization.


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