Analisis Tingkat Partisipasi Angkatan Kerja Perempuan di Provinsi Jawa Barat Menggunakan Regresi Probit Data Panel Random Effect

Ahmad, Fikri Sholih (2025) Analisis Tingkat Partisipasi Angkatan Kerja Perempuan di Provinsi Jawa Barat Menggunakan Regresi Probit Data Panel Random Effect. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Pembangunan ekonomi yang inklusif dan berkelanjutan sangat bergantung pada partisipasi seluruh lapisan masyarakat, termasuk peran perempuan dalam angkatan kerja. Partisipasi perempuan dalam pasar tenaga kerja bukan hanya mencerminkan kesetaraan gender, tetapi juga berperan penting dalam mempercepat pertumbuhan ekonomi dan mengurangi ketimpangan sosial. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi Tingkat Partisipasi Angkatan Kerja (TPAK) Perempuan di Provinsi Jawa Barat selama periode 2010-2019. Menggunakan regresi probit data panel dengan pendekatan random effect, penelitian ini menganalisis variabel-variabel seperti rata-rata lama sekolah perempuan (RLS), upah minimum kabupaten/kota (UMK), persentase status menikah perempuan, angka harapan hidup perempuan, dan indeks pembangunan gender (IPG). Sumber data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari publikasi Badan Pusat Statistik dan Ketetapan Gubernur Jawa Barat. Penelitian ini memanfaatkan data panel seimbang yang mencakup data time series selama 10 tahun (2010-2019) dan data cross-section yang meliputi 26 kabupaten/kota di Provinsi Jawa Barat. Hasil penelitian menunjukkan bahwa seluruh variabel prediktor yaitu rata-rata lama sekolah (RLS) perempuan, upah minimum kabupaten/kota (UMK), persentase status menikah perempuan, Angka Harapan Hidup (AHH) Perempuan, dan indeks pembangunan gender (IPG) berpengaruh signifikan terhadap TPAK perempuan. Hasil estimasi menunjukkan bahwa peningkatan rata-rata lama sekolah (RLS) perempuan, presentase status menikah perempuan, dan indeks pembangunan gender (IPG) cenderung meningkatkan kemungkinan tercapainya target kinerja TPAK perempuan yang telah ditetapkan dalam RPJMD Provinsi Jawa Barat. Sebaliknya, peningkatan upah minimum kabupaten/kota (UMK) dan angka harapan hidup (AHH) perempuan berpotensi menurunkan kemungkinan tercapainya target tersebut. Model yang diperoleh menunjukkan akurasi klasifikasi sebesar 75,77 persen.
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The development of an inclusive and sustainable economy heavily depends on the participation of all layers of society, including the role of women in the labor force. Women's participation in the labor market not only reflects gender equality but also plays a crucial role in accelerating economic growth and reducing social inequality. This study aims to analyze the factors influencing the Female Labor Force Participation Rate (FLFPR) in West Java Province during the period of 2010-2019. Using panel data probit regression with a random effect approach, the study analyzes variables such as the average years of schooling for women (RLS), the minimum wage by district/city (UMK), the percentage of married women, the life expectancy for women, and the gender development index (GDI). The data used in this study is secondary data obtained from publications by the Central Statistics Agency (BPS) and the Governor's Decree of West Java. This study utilizes balanced panel data that includes a time-series data over 10 years (2010-2019) and cross-sectional data covering 26 districts/cities in West Java Province. The results of the study indicate that all predictor variables, namely the average years of schooling for women (RLS), minimum wage by district/city (UMK), the percentage of married women, life expectancy for women (AHH), and the gender development index (GDI), significantly affect the female labor force participation rate (FLFPR). The estimation results show that an increase in the average years of schooling for women (RLS), the percentage of married women, and the gender development index (GDI) tends to increase the likelihood of achieving the FLFPR performance target set in the RPJMD of West Java Province. On the other hand, an increase in the minimum wage by district/city (UMK) and life expectancy for women (AHH) potentially decreases the likelihood of achieving that target. The model obtained shows a classification accuracy of 75.77 percent.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	TPAK Perempuan, regresi probit, data panel, random effect, kesetaraan gender, FLFPR, probit regression, panel data, random effect, gender equality
Subjects:	H Social Sciences > HD Industries. Land use. Labor
Divisions:	Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis
Depositing User:	Fikri Sholih Ahmad
Date Deposited:	30 Jul 2025 02:08
Last Modified:	30 Jul 2025 02:08
URI:	http://repository.its.ac.id/id/eprint/122953

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