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Synthetic Minority Oversampling Technique Pada Model Logit dan Probit Status Pengangguran Terdidik

Authors :
Fatimah Fatimah
Anwar Fitrianto
Indahwati Indahwati
Erfiani Erfiani
Khusnia Nurul Khikmah
Source :
Jambura Journal of Mathematics, Vol 5, Iss 1, Pp 166-178 (2023)
Publication Year :
2023
Publisher :
Department of Mathematics, Universitas Negeri Gorontalo, 2023.

Abstract

Educated unemployment is caused by a misalignment of educational development planning and employment development, resulting in underemployed graduates from various educational institutions. Unemployment data in DKI Jakarta shows an unequal class. Unbalanced data is a severe problem of modeling because it can cause prediction errors that affect the accuracy of the resulting model. Using SMOTE to handle unbalanced data will likely increase the model’s accuracy. This study aims to find the best model for identifying the factors influencing the status of educated unemployment using logit and probit models and handling unbalanced data using SMOTE. The results showed that the independent variables that affect the status of educated unemployment in the logit and probit models are the same: age group and participation in training. The independent variables that affect the status of educated unemployment in the logit and probit models with SMOTE are also the same: age group, marital status, and participation in training. Unbalanced data handling using SMOTE can increase the balanced accuracy value significantly. Balanced accuracy values for the logit and probit models with SMOTE are higher than the logit and probit models without SMOTE. The logit model with SMOTE is the best because it has the highest balanced accuracy value compared to other models. According to the logit model with SMOTE, the educated unemployed in DKI Jakarta are young and have never married. There is a need for the government to play a role in improving the quality of educational institutions in producing graduates who meet company qualifications and can be hired by employers. Unemployed people who have attended the training, despite having a higher education, may also become unemployed. The training provided has not been able to reduce the unemployment rate. As a result, the government should be able to provide training to improve entrepreneurship skills while also providing capital in the form of business loans to reduce educated unemployment.

Details

Language :
English, Indonesian
ISSN :
26545616 and 26561344
Volume :
5
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Jambura Journal of Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.91f66380f7984d16a9163d8469d43c82
Document Type :
article
Full Text :
https://doi.org/10.34312/jjom.v5i1.17050