Unemployment Rates in Vocational Education in Indonesia Using Economic and Statistical Analysis

  • Suryadi National Research and Innovation Agency https://orcid.org/0000-0003-4001-5920
  • Mia Rahma Romadona National Research and Innovation Agency
  • Sigit Setiawan National Research and Innovation Agency
  • Fachrizal National Research and Innovation Agency
  • Andi Budiansyah National Research and Innovation Agency
  • Syahrizal Maulana National Research and Innovation Agency
  • Rahmi Lestari Helmi National Research and Innovation Agency
  • Silmi Tsurayya National Research and Innovation Agency
  • RY Kun Haribowo Universitas Gadjah Mada - Vocational School
  • Yuni Andari Universitas Gadjah Mada - Vocational School
  • Bagaskara Universitas Gadjah Mada - Vocational School
  • Ratna Sri Harjanti Politeknik LPP Yogyakarta
Keywords: Independent variable, Dependent variable, Ordinary least square,, Significant, Over supply

Abstract

The linear regression model is used in this research to study the influence of the independent variable on the dependent variable. The dependent variable Y is the unemployment rate in vocational education, while the independent variables are X1 in the form of Job Opportunities, X2 in the form of Policy and X3 in the form of Area. To estimate model parameters, the Ordinary Least Square method is used. The research results show that the three independent variables have a significant effect on the dependent variable. Variable X1 has a significant positive effect on the unemployment rate, variables X2 and X3 have a significant negative effect on the unemployment rate in vocational higher education in Indonesia. From the results of this research, there has been an oversupply of labor in vocational higher education in Indonesia.

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Published
2024-01-05
How to Cite
Suryadi, Romadona, M. R., Setiawan, S., Fachrizal, Budiansyah, A., Maulana, S., Helmi, R. L., Tsurayya, S., Haribowo, R. K., Andari, Y., Bagaskara, & Harjanti, R. S. (2024). Unemployment Rates in Vocational Education in Indonesia Using Economic and Statistical Analysis. Statistics, Optimization & Information Computing, 12(2), 498-509. https://doi.org/10.19139/soic-2310-5070-1887
Section
Research Articles