The Estimation Model of Mineral Mining Control and Management in Realizing a Sustainable Environment: Application of Confirmatory Factor Analysis

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Muh. Darwis Falah, Hamsu Abdul Gani, Ahmad Rifqi Asrib

2023 Indian Journal of Environmental Protection Vol. 43 Issue 3 Article Cited by 1 Quartile

Abstract

Individual behaviour can develop into social behaviour, which is a behaviour with a higher level because social behaviour is addressed explicitly to other people. This research aims to measure the validity and reliability of each indicator, that is a measurement variable (manifest variable) for each variable that cannot be measured directly (latent variable). From the method of implementation, this research is survey research. Survey research is used to solve large-scale issues with a substantial population, so considerable sample size is required. This research was carried out for 4 months, from June 2020 to September 2020. The research location was planned to be conducted in Barru Regency, South Sulawesi Province. The sampling technique was purposive random sampling with a sample of 200 respondents consisting of people who carry out mineral mining as their main livelihood. The data analysis used confirmatory factor analysis (CFA) which was processed through the IBM AMOS 22 programme. The goodness of fit results (CMIN/DF, GFI, RMSEA, CFI, PNFI), composite reliability (CR) and loading factor of the measurement model has met the minimum recommended requirements. The research model's measurement of validation and reliability shows that the indicators that make-up the behavioural, attitude and knowledge variables are reliable. Managing mineral resources requires a strategy for maintaining the settlement environment, formed through environmental knowledge, attitudes and motivation. © 2023 Scientific Publishers. All rights reserved.

Affiliations

Department of Population and Environment Education, Universitas Negeri Makassar, South Sulawesi, Makassar, 90222, Indonesia; Department of Environmental Science Education, Universitas Negeri Makassar, South Sulawesi, Makassar, 90222, Indonesia; Department of Engineering Vocational Education, Universitas Negeri Makassar, South Sulawesi, Makassar, 90222, Indonesia