AN ANALYSIS OF THE WORKERS’ WAGE OF BATIK INDUSTRY
IN SURAKARTA
Budi Istiyanto
Economics School of Surakarta (STIES)
SUMMARY
IN SURAKARTA
Budi Istiyanto
Economics School of Surakarta (STIES)
SUMMARY
In recent years, the Human Resources development has been an essential priority for the firms. It is due to the Human Resources as a vital asset to survive their businesses. In relation to their activities for producing goods and services and maintaining their survival, they orient to gain a profit. It could be achieved through improving the management, particularly related to the Human Resource development and all aspects relevant to the company organization. The Human Resources management is an integrated section with other managements in general, i.e., a main key to complete a firm’s goal.
This study aims at 1) knowing whether or not education and seniority variables, dummy variables of gender, difference between the male’s and female’s wages and kind of employment, working hours and amount of overworking hours influence the workers’ wage of Batik Industry in Surakarta. 2) Whether or not there is a difference in education and seniority variables, dummy variables of gender, difference between the rate of the male’s and female’s wages and kind of employment, working hours and amount of overworking hours. Whether or not there is the different interactions between the gender and industrial concentration level (TKI), the gender and capital per worker (KAP-JK interaction), the gender and capital source (SUMOD-JK interaction), the gender and export ratio toward total production (EKS-JK interaction), the gender and firm size (UKPER-JK interaction), the gender and sale volume (PENJ-JK interaction), the kind of employment (PENJ-JK interaction), the kind of employment and industrial concentration level (TKI-JP interaction), the kind of employment and capital per worker (KAP-JP interaction), the kind of employment and capital source (SUMOD-JP interaction), the kind of employment and export ratio toward total production (EKS-JP interaction), the kind of firm and firm’s size (UKPER-JP interaction), and the kind of employment and sale volume (PENJ-JP interaction) influence the rate of the workers’ wages of textile industries in Surakarta.
This study used a random-proportional sample method i.e., gathering the samples randomly and proportionally from sub-divisions of Batik Industry in Surakarta. The data gathering was through survey by examining the activities of Batik Industries directly. This study included primer and secondary data i.e., numeric and direct explanation from a variety of related institution and Textile Industries in Surakarta, and records from other related sources.
The result of the t test was used for knowing the significant variable in the kind of employment. The interaction variables included export volume and the kind of employment, firm size and the kind of employment, capital source and the kind of employment, and the gender and sale volume. The 0.05%-under-significant variables included the variables of the kind of employment and interactions i.e., volume export-the kind of employment, firm’s size-the kind of employment, capital-the kind of employment, and gender-sale volume.
It could be concluded that 1) there was a partial-significant influence between the kind of employment and the workers’ wages per week of Batik industries in Surakarta, both without the interaction with the firm and after the interaction with the firm. 2) There was a partial-significant influence between the interaction variables i.e., export volume-the kind of employment, firm’s size-the kind of employment, capital-the kind of employment, gender-sale volume and workers’ wages per week of Batik Industries in Surakarta, both without the interaction with the firm and after the interaction with the firm. 3) There was a significant influence between the independent variables on the workers’ wages per week of Batik Industries in Surakarta, both without the interaction with the firm and after the interaction with the firm simultaneously.
It is suggested that 1) the management of Batik Industries in Surakarta should think of wage system between the blue-collar and white collar, due to the difference of average wage a month of Rp 800.000 per week. This difference will cause a very serious problem in the near future. 2) Although there is not statistically significant yet, the difference of the gender needs thinking about where the males’ wage is higher than the females’.
For making a policy, it fixes the wage and formulates the standard of regional minimum wage between the administration staff and workers in production division. Thus, it will not generate any conflict between them.
This study aims at 1) knowing whether or not education and seniority variables, dummy variables of gender, difference between the male’s and female’s wages and kind of employment, working hours and amount of overworking hours influence the workers’ wage of Batik Industry in Surakarta. 2) Whether or not there is a difference in education and seniority variables, dummy variables of gender, difference between the rate of the male’s and female’s wages and kind of employment, working hours and amount of overworking hours. Whether or not there is the different interactions between the gender and industrial concentration level (TKI), the gender and capital per worker (KAP-JK interaction), the gender and capital source (SUMOD-JK interaction), the gender and export ratio toward total production (EKS-JK interaction), the gender and firm size (UKPER-JK interaction), the gender and sale volume (PENJ-JK interaction), the kind of employment (PENJ-JK interaction), the kind of employment and industrial concentration level (TKI-JP interaction), the kind of employment and capital per worker (KAP-JP interaction), the kind of employment and capital source (SUMOD-JP interaction), the kind of employment and export ratio toward total production (EKS-JP interaction), the kind of firm and firm’s size (UKPER-JP interaction), and the kind of employment and sale volume (PENJ-JP interaction) influence the rate of the workers’ wages of textile industries in Surakarta.
This study used a random-proportional sample method i.e., gathering the samples randomly and proportionally from sub-divisions of Batik Industry in Surakarta. The data gathering was through survey by examining the activities of Batik Industries directly. This study included primer and secondary data i.e., numeric and direct explanation from a variety of related institution and Textile Industries in Surakarta, and records from other related sources.
The result of the t test was used for knowing the significant variable in the kind of employment. The interaction variables included export volume and the kind of employment, firm size and the kind of employment, capital source and the kind of employment, and the gender and sale volume. The 0.05%-under-significant variables included the variables of the kind of employment and interactions i.e., volume export-the kind of employment, firm’s size-the kind of employment, capital-the kind of employment, and gender-sale volume.
It could be concluded that 1) there was a partial-significant influence between the kind of employment and the workers’ wages per week of Batik industries in Surakarta, both without the interaction with the firm and after the interaction with the firm. 2) There was a partial-significant influence between the interaction variables i.e., export volume-the kind of employment, firm’s size-the kind of employment, capital-the kind of employment, gender-sale volume and workers’ wages per week of Batik Industries in Surakarta, both without the interaction with the firm and after the interaction with the firm. 3) There was a significant influence between the independent variables on the workers’ wages per week of Batik Industries in Surakarta, both without the interaction with the firm and after the interaction with the firm simultaneously.
It is suggested that 1) the management of Batik Industries in Surakarta should think of wage system between the blue-collar and white collar, due to the difference of average wage a month of Rp 800.000 per week. This difference will cause a very serious problem in the near future. 2) Although there is not statistically significant yet, the difference of the gender needs thinking about where the males’ wage is higher than the females’.
For making a policy, it fixes the wage and formulates the standard of regional minimum wage between the administration staff and workers in production division. Thus, it will not generate any conflict between them.
