The study aims to describe the characteristics of unemployed workers in Central Java Province and to determine the model of educated unemployment duration. It uses the linear regression model of 1721 workforces that are sampled from National Labor Survey 2015. The model regress the unemployment duration on age, sex, education level, income during unemployment period and GRDP of the industrial, service and agricultural sectors. Findings and Originality: The results show that variables of age, sex, the income of job seekers, education level at junior and senior high school level and GRDP in the agricultural sector have a positive effect on the unemployment duration. The variables of the status of household head, the high school education level, as well as the GRDP service sector, negatively effect the unemployment duration. Thus, it is recommended for the Central Java province government to develop service sectors to shorten the duration of unemployment in Central Java Province.
<em>The problem of the sewing department of PT Sai Apparel Industries Semarang was it never reached the production target in 2019. This purposes of this research are to find out influence of leadership style and work motivation on employee performance at PT Sai Apparel Industries Semarang. Dependent variabels in this reseach is leadership style and work motivation while dependent variables is employee performance. Data collection used are questionnaires, interview, and literature review. The sample in this study are 95 employees of the sewing devision at PT Sai Apparel Industries Semarang. The data analysis technique used multiple regression. The result of multiple regression indicated that leadership style and work motivation all of them had positive influence on employees performance. The most dominant variable that influence the employee performance is the work motivation. While from the result of determination coeffiecient (Adjusted R Square) indicated that leadership style and work motivation affects employee performance 0.597 or 59.7%. While 40.3 or 40.3% influenced by other variables not examined in this research</em>
This study aims to find out the partial and together influence variables of process innovation, product innovation, and technology for operational performance at PT Pagilaran UP Pagilaran. The data analysis technique used multiple regression as technique analysis. The data collection methode in this study used are observation, questionnaires, and documentation. The analytical technique used is multiple regression analysis using SPSS with the results of the equation Y = 1.609 + 0.364X1 + 0.388X2 + 0.274X3. From this analysis it can be concluded that process innovation, product innovation, and technology have a positive effect on operational performance. Based on the results of the coefficient of determination test shows that process innovation, product innovation, and technology affect operational performance by 71.7% while 28, 3% is influenced by other variables that are not explained in this study. The results of the t-test and f-test in this study indicate that process innovation, product innovation, and technology have a significant effect on operational performance either partially or simultaneously.
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