Patrycia, Holly (2026) Pendekatan Regresi Heckman Probit Two-Step untuk Analisis Faktor-Faktor Pengangguran Terbuka di Provinsi Jawa Barat. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Open unemployment is a significant social and economic problem in Indonesia, particularly in West Java Province, which recorded the highest national unemployment rate in August 2024 at 6.75%. The high unemployment rate not only reflects labor market imbalances but is also influenced by demographic factors, education, and socio-economic conditions. This study aims to analyze the factors influencing open unemployment using the Heckman Probit Two-Step model, specifically designed to address sample selection bias. The data used are sourced from the 2024 National Labor Force Survey (SAKERNAS) by Statistics Indonesia (BPS), covering working-age individuals in West Java Province. The first stage of the analysis models labor force participation, while the second stage analyzes the status of open unemployment among those entering the labor force by adding the Inverse Mills Ratio (IMR) as a correction for selection bias. The results show that age, gender, education level, marital status, and skills training experience significantly influence the probability of open unemployment. This approach not only produces more accurate estimates but also provides a methodological contribution to labor research in Indonesia. The research findings are expected to serve as a reference for local governments in designing data-driven employment policies, thereby making unemployment reduction strategies more effective, relevant to industry needs, and supporting inclusive economic growth in West Java. As a practical outcome, this research also successfully designed a Streamlit-based User Interface to facilitate data analysis by non-technical users.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | H Social Sciences > H Social Sciences (General) H Social Sciences > HC Economics H Social Sciences > HN Social history and conditions. Social problems. Social reform Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76.6 Computer Programming Q Science > QA Mathematics > QA76.87 Neural computers |
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| Divisions: | Faculty of Computer Science > Departemen of Data Science | ||||||||||||
| Depositing User: | Holly Patrycia | ||||||||||||
| Date Deposited: | 28 Jan 2026 04:37 | ||||||||||||
| Last Modified: | 28 Jan 2026 04:37 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/49029 |
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