Using Binary Logistics To Analyze Factors Affecting The Value Of Green Performance : Smi Batik In Pekalongan City

Asian Journal of Engineering, Social and Health Pub Date : 2024-02-10 DOI:10.46799/ajesh.v3i2.241

Nurul Mardhiyah, I. Purwanti

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Abstract

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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利用二元物流分析影响绿色绩效价值的因素：北卡龙根市的 Smi 蜡染业

绿色工业如今已成为焦点。政府鼓励各行业应用绿色工业原则，尤其是北加浪根市的 SMI 蜡染。鼓励应用绿色工业的第一步是根据《2018 年绿色工业奖评估指南》附录中关于生产过程矩阵的参考，衡量绿色绩效的价值，然后利用二元逻辑回归分析确定影响绿色绩效价值的因素。二元逻辑回归是一种统计分析方法，用于描述两个或多个类别的因变量与一个或多个自变量之间的关系。本研究的目的是分析影响北加浪根市 SMI 蜡染绿色绩效价值的因素。本研究发现，北加浪根市 SMI 蜡染的平均绿色绩效值为 52%，而显著影响绿色绩效值的因素是手工艺者对环境影响的认识，其几率值为 22,815 。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Asian Journal of Engineering, Social and Health

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