J Statistika : Jurnal Ilmiah Teori Dan Aplikasi Statistika
Vol 18 No 2 (2025): Jurnal Ilmiah Teori dan Aplikasi Statistika

Identifying Workforce Size Determinants in Rebana and Arumanis Using Least Absolute Shrinkage and Selection Operator (LASSO) Regression




Article Info

Publish Date
31 Dec 2025

Abstract

Development of West Java’s Rebana and Arumanis Areas is intended to strengthen the economy and expand employment opportunities. Identifying influential factors is essential for formulating effective and well-targeted policies to enhance workforce absorption in these two areas. This study aims to analyze and identify the main factors affecting workforce size in the Rebana and Arumanis Areas using the Least Absolute Shrinkage and Selection Operator (LASSO) regression method. To determine the optimal (L1) penalty in LASSO, 5-fold cross-validation (k = 5) was applied, yielding an optimal penalty value of 363.03. The results indicate that the factors ranked from most to least important for workforce absorption in Rebana and Arumanis are: (1) the number of MSMEs, (2) the Human Development Index (HDI), (3) Gross Regional Domestic Product (GRDP), (4) the regional minimum wage, (5) realized Foreign Direct Investment (FDI), (6) road length, and (7) realized Domestic Direct Investment (DDI). Model performance was evaluated using an average (R2) of 83.09%. These findings highlight the importance of strengthening the MSME ecosystem and implementing productivity-oriented regional development planning to promote workforce absorption in Rebana and Arumanis.

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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, ...