ANALISIS PENGANGGURAN TERBUKA DI INDONESIA MENGGUNAKAN MODEL REGRESI SPASIAL
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Date
2023-07
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Elfitra
Abstract
Unemployment is one of the problems in employment that is often faced by every
country, especially developing countries like Indonesia. The existence of the Covid-19
pandemic in Indonesia resulted in the open unemployment rate increasing rapidly from
previous years. Total population, TPAK, minimum wage, HDI, and poverty are some of
the variables that can provide an overview of the open unemployment rate in Indonesia.
For this reason, tests were carried out on these variables. The data used in this study
uses BPS data, namely the indicator of the Open Unemployment Rate in Indonesia.
Analysis was performed using spatial regression with the Spatial Autoregressive (SAR)
model. Based on the SAR model, there are 2 variables that have a significant effect on
the open unemployment rate, namely the population variable which has a positive effect
and TPAK which has a negative effect.
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Keywords
Open unemployment rate, spatial regression, spatial autoregressive (SAR)
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