Abstrak
Fenomena overemployment menjadi isu dalam dinamika pasar tenaga kerja di Indonesia. Overemployment didefinisikan sebagai kondisi ketika individu bekerja lebih dari 40 jam per minggu. Penelitian ini bertujuan untuk menganalisis pengaruh tingkat pendapatan terhadap probabilitas individu mengalami overemployment dengan menggunakan data Survei Angkatan Kerja Nasional (SAKERNAS) tahun 2022. Model binary logistic regression digunakan untuk mengestimasi hubungan antara variabel pendapatan dan probabilitas terjadinya overemployment. Hasil studi menunjukkan bahwa tingkat pendapatan memiliki pengaruh yang positif dan signifikan terhadap probabilitas individu mengalami overemployment. Faktor lainnya seperti pekerja di sektor informal, pekerja tetap, berpendidikan rendah, menikah, laki-laki, usia muda, pulau Jawa, dan tinggal di perkotaan turut berpengaruh positif dan signifikan terhadap probabilitas individu mengalami overemployment.
......The phenomenon of overemployment has become an issue in the dynamics of the labor market in Indonesia. Overemployment is defined as a condition in which individuals work more than 40 hours per week. This study aims to analyze the effect of income level on the probability of individuals experiencing overemployment using data from the 2022 National Labor Force Survey (SAKERNAS). A binary logistic regression model was used to estimate the relationship between income and the probability of overemployment. The results of the study indicate that income level has a positive and significant effect on the probability of individuals experiencing overemployment. Other factors such as working in the informal sector, being a permanent employee, having a low level of education, being married, being male, being young, living on the island of Java, and living in an urban area also have a positive and significant effect on the probability of individuals experiencing overemployment.
