USING BINARY LOGISTICS TO ANALYZE FACTORS AFFECTING THE VALUE OF GREEN PERFORMANCE : SMI BATIK IN PEKALONGAN CITY

: 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.


INTRODUCTION
Green industry is increasingly in the spotlight of the world market, as one of the industry's sustainability efforts in preserving the environment without affecting and even increasing the effectiveness and efficiency of production (Hennig et al., 2023;Mallik, 2023;Squadrito et al., 2023).Green industry has the principle of minimising the use of resources and minimising the acquisition of negative impacts on the environment, by maximising product acquisition.
Batik is one of the cultural heritages that has unique characteristics and philosophy and is recognised by UNESCO (Indrayani & Triwiswara, 2020).One of the centres of the batikproducing industry is Pekalongan City.According to Pekalongan Industry Office in 2023 that Pekalongan City is recorded to have 1805 SMIs batik that produce batik cloth either as ther own products or as makloon. in end of 2023.All SMIs batik in Pekalongan city are categorised as small-scale industries based on the number of employess included craftman and invesment value (Kozlowski et al., 2012).Indonesian government have made efforts to encourage the implementation of green industry, one of which is conducting a green performance assesment to give appreciation to industries that have implemented green industry principles (Tseng et al., 2013).Green performance assessment is carried out referring to the Appendix of the 2018 Green Industry Award Assessment Guidelines on matrix of production process, where the weight of the production process matrix is 70% of the overall assessment (Agbajor & Mewomo, 2024;Ramakrishnan et al., 2023;Rasmussen et al., 2023;Yang et al., 2023).This assessment is carried out as an initial stage in measuring the commitment of the industry, especially SMI batik, in applying green industry principles.
Each SMI batik has its own assessment, to find out the factors that significantly affect the value of green performance is done through binary logistic regression analysis using SPSS.
Binary logistic regression is a statistical analysis method to describe the relationship between independent variable that have two or more categories with one or more dependent variables (Ali et al., 2024;Domarchi & Cherchi, 2024;Jerebine et al., 2024;Martinello et al., 2024;Van der Stricht et al., 2024).
Logistic regression analysis produces binary and dichotomous variables.The binary logistic regression model is used if the dependent variable produces two categories, namely 0 and 1, so that it follows the Bernaulli distribution as follows (Phillips et al., 2024;Rashmi & Marisamynathan, 2024): Where : = probability of the i-th event = i-th random variable consisting of 0 and 1 The steps of logistics regression analysis are as follows :

Simultaneous Test
Simultaneous test is conducted to determine all independent variables in the model together (Alahmer et al., 2023;Maemunah et al., 2023;Pata & Kartal, 2023;Raihan, 2023;Veza et al., 2023).The hypothesis in the simultaneous test is to reject H0 if the significant value is less than α=0,05 or G 2 value > chisquare as χ 2 a,p then it is concluded that at least one of the independent variables affects the value of green performance as variable dependent.

Partial Test
Partial test is conducted to determine whether each independent variable in the model has a significant effect on the dependent variable.The hypothesis in the partial test is to reject H0 if Wald test value < chi square as χ 2 a,p or the significant value is less than α=0,05.So it is concluded that independent variabel affects the value of green performance as dependent variable.The goodness of fit test is conducted to evaluate the model suitability of the binary logistic regression model formed using the Hosmer and Lemeshow Test.

Data Interpretation
Data interpretation is done to see the magnitude of tendency of the independent dependent variable to the dependent variable through a measure, namely the odds ratio.The odds ratio values, which is the value of exp(β) on the independent variable that significantly affects the value of green performance.The greater exp(β) value indicates that the tendency of the independent variable to the value of green performance is also higher ( Wulandari et al, 2017).

RESEARCH METHODS
This research was conducted using field observations, interviews, questionnaires, and data verification.The location of this research is in Pekalongan City, Central Java-Indonesia.SMI batik chosen by stratified random sampling with the margin of error is 80% from 65 SMI batik which has Single Business Number.The quantity samples of SMI batik are 18 SMIs batik.
The first step of the research was carried out by measuring the value of green performance whose assessment refers to the Appendix of Green Industry Assessment Award Guidelines 2018 by Ministry of Industry which includes a matrix of production processes on a small industrial scale consisting of : Aspect of the Production Efficiency Programme, Aspect of Raw Material, Aspect of Energy, Aspect of Water, Aspect of Process Technology, Aspect of Human Resources Then process the data obtained from the results of the questionnaire of 18 SMIs batik to carry out binary logistic regression analysis.Using binary logistic regression to analyze the factors that influence the value of green performance at SMIs batik in Pekalogan City.
The following variables are used in the binary logistic regression of this research as follows :

Tabel 1. Variable Analyst of Factors Affecting Green Performance Value
Variabel Indikator

Interpretasi Data
Based on the partial test results that the independent variable on Craftspeople Awareness of Environmental Impacts ( has significant influence on the value of green performance with the odds ratio value obtained from Table 5 on Exp(B), it shows that value of Craftspeople Awareness of Environmental Impacts ( odds ratio is 22,815 has an influence on the value of green performance.

CONCLUSION
The implementation of green industry is an opportunity for the industry, especially Batik in fashion, to compete in the world.Apart from being able to maintain and introduce heritage to the world, through the SMI batik if the green industry applied, it can also increase economic growth and preserve the environment.The green performance assessment obtained from SMI batik in Pekalongan city averages 52% which means that the SMI batik is committed to implementing green industry principles, but there are several factors that need to be encouraged in implementing the green industry.Through binary logistic regression analysis, it is found that the factor has a significant affect on the value of green performance is Craftspeople Awareness of Environmental Impacts.The odds ratio on craftspeople awareness of environmental impacts is 22,815.The suggestion from this research is that it is necessary to conduct another research with a smaller margin of error and refer to the latest regulation by the Minister of Industry Regulation No. 10 of 2023 that concern in Green Industry Standards for Batik.Agbajor, F. D., & Mewomo, M. C. (2024).Green building research in South Africa: A scoping review and future roadmaps.Energy and Built Environment, 5(2), 316-335. Alahmer, H., Alahmer, A., Alkhazaleh, R., & Alrbai, M. (2023).Exhaust emission reduction of a SI

BIBLIOGRAFI
Green performance assessment was carried out on 18 SMIs batik located in a distribution of 4 sub-districts of Pekalongan, namely West of Pekalongan, South of Pekalongan, East of Pekalongan, and North of Pekalongan.The value of green performance averaged across 18 SMIs batik for the matrix of production process is as follows : From 1805 SMIs batik, only 65 SMIs batik have single business number Using Binary Logistics To Analyze Factors Affecting The Value Of Green Performance : Smi Batik In Pekalongan City Page 354 Asian Journal of Engineering, Social and Health Volume 3, No. 2 February 2024

Tabel 2. Result of Green Performance Assessment
Based on table 6, it shows that the partial test results are as follows with a value of α=0,05 dan χ 2 0.05,6 = 12,592 and the significance value of 0,554 > α=0,05 or the coefficient value of the Hosmer and Lemeshow Test (4,997) < χ 2 0.05,6 = 12,592 so that model formed is appropriate or the model was FIT.