Using Binary Logistics To Analyze Factors Affecting The Value Of Green Performance : Smi Batik In Pekalongan City
DOI:
https://doi.org/10.46799/ajesh.v3i2.241Keywords:
Binary logistic analysis, Green Industry, SMI Batik, The Value of Green PerformanceAbstract
Green industry is now in the spotlight. The government encourages industries to apply green industry principles, especially SMI batik in Pekalongan City. One of the first steps in encouraging the application of green industry is to measure the value of green performance in accordance with the referring to the Appendix of the 2018 Green Industry Award Assessment Guidelines on matrix of production process, then determine the factors that affect the value of green performance using binary logistic regression analysis. Binary logistic regression is a statistical analysis method to describe the relationship between dependent variables with two or more categories with one or more independent variables. The purpose of this study is to analyse the factors affecting the green performance value of SMI batik in Pekalongan city. From this study, it was found that the average green performance value of SMI batik in Pekalongan city was 52% and the factor that significantly influenced the value of green performance was craftspeople awareness of environmental impacts with an odds ratio value is 22,815.
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