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Economy is not a barometer of the age of woman's first marriage Rafly Parenta Bano; Muhammad Saifudin; Anthonia Karolina Rejo Lobwaer
EKONOMI & SOSIAL Vol 11 No 2 (2020): Jurnal Ilmu Ekonomi & Sosial
Publisher : Universitas Musamus,Merauke,Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35724/jies.v11i2.3148

Abstract

One of the most interesting topics in studies related to women, family to marriage is the issue of the age of first marriage for women. This study aims to determine the social, economic and demographic factors on the age at first marriage of women in Indonesia. Cox proportional hazard regression analysis was applied to the results data. The results indicate that singulate mean age at marriage (SMAM) and the average age at first marriage for women in Indonesia are around 23.42 years and 19.52 years, respectively. The results of both bivariate and multivariate statistical analysis show that all independent variables significantly determine the time of women's first marriage in Indonesia. The variables level of education, residence and female birth cohort are the most significant variables in the model. This study found that women from the youngest generation (gene Z) had a higher likelihood of marrying earlier than women from the previous generation. Overall, it was found that there was a shift in the factor at determinant age the first marriage of women, where education was the barometer, so that more vigorous efforts are needed to keep Indonesian women in school for a long time, in this case, girls who come from economically disadvantaged households should be given a full free scholarship up to the level of undergraduate education.
Perbedaan Tingkat Upah Pekerja di Sektor Manufaktur dan Jasa Rafly Parenta Bano; Ridhwan Ridhwan
SOCIETAS Vol 9 No 2 (2020): Societas : Jurnal Ilmu Administrasi Dan Sosial
Publisher : Universitas Musamus, Merauke, Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35724/sjias.v9i2.2999

Abstract

This study aims to determine how wages differ among workers and to investigate the factors thatdetermine these wage differences in the manufacturing and service sectors in Indonesia. Multipleregression models with dummy variables are used to determine how the characteristics and quality ofworkers influence the difference in wages in the labor market in Indonesia. Worker factors such aseducation, work experience, gender and marital status explain around 24.8 percent of the variation inworkers' wages. The results of this study indicate the importance of the characteristics and quality ofworkers in determining the difference in the level of wages of workers, both in the manufacturing sectorand in the service sector. The independent variables in the model, namely higher education, workexperience, gender and marital status have a significant positive effect on the difference in wages ofworkers in the manufacturing and service sectors. Thus, this study highlights the importance of humanresources in increasing the income level of workers and reveals the fact that the quality of humanresources is not only important for reducing wage differentials but also helps in increasing the wage rateof workers.
Perbedaan Tingkat Upah Pekerja di Sektor Manufaktur dan Jasa Rafly Parenta Bano; Ridhwan Ridhwan
SOCIETAS Vol 9 No 2 (2020): Societas : Jurnal Ilmu Administrasi dan Sosial
Publisher : Universitas Musamus, Merauke, Papua

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35724/sjias.v9i2.2999

Abstract

This study aims to determine how wages differ among workers and to investigate the factors thatdetermine these wage differences in the manufacturing and service sectors in Indonesia. Multipleregression models with dummy variables are used to determine how the characteristics and quality ofworkers influence the difference in wages in the labor market in Indonesia. Worker factors such aseducation, work experience, gender and marital status explain around 24.8 percent of the variation inworkers' wages. The results of this study indicate the importance of the characteristics and quality ofworkers in determining the difference in the level of wages of workers, both in the manufacturing sectorand in the service sector. The independent variables in the model, namely higher education, workexperience, gender and marital status have a significant positive effect on the difference in wages ofworkers in the manufacturing and service sectors. Thus, this study highlights the importance of humanresources in increasing the income level of workers and reveals the fact that the quality of humanresources is not only important for reducing wage differentials but also helps in increasing the wage rateof workers.