J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika
Vol 19 No 1 (2026): Jurnal Ilmiah Teori dan Aplikasi Statistika

Analysis of Female Labor Force Participation in Java Island Using Multiscale Geographically Weighted Regression with an Adaptive Bisquare Kernel




Article Info

Publish Date
31 Jul 2026

Abstract

Female labor force participation is an important indicator in labor development and gender equality. However, the Female Labor Force Participation Rate (FLFPR) in Java Island still shows disparities across regions, indicating the presence of spatial influences. This study aims to analyze the socio-economic factors affecting the FLFPR in 119 regencies/cities on Java Island in 2024 using the Multiscale Geographically Weighted Regression (MGWR) method with an adaptive bisquare kernel implemented in Python. The data used in this study were obtained from Statistics Indonesia (Badan Pusat Statistik) in 2024. The explanatory variables include the Regency/City Minimum Wage, number of poor population, Gender Inequality Index, Gross Regional Domestic Product, percentage of women in parliament, number of women managing households, and the Gender Development Index. The contribution of this research lies in the specific application of MGWR with an adaptive bisquare kernel for the Java Island region, which allows parameter estimates to vary across locations. The results indicate significant spatial heterogeneity. The minimum wage variable is the most consistently significant factor with a negative effect in most regions. These findings imply the need for region-specific employment and women’s empowerment policies rather than uniform policies across Java Island.

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Journal Info

Abbrev

jstatistika

Publisher

Subject

Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

This journal publishes scientific articles in the form of research results, case studies, or literature reviews on various aspects related to the field of statistics, scientific data and their applications. Such as Computing, Time Series, Multivariate, Data Mining, Biostatistics, Survival Analysis, ...