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All Journal Zero : Jurnal Sains, Matematika, dan Terapan
Anang Kurnia
School of Data Science, Mathematics, and Informatics, IPB University, Bogor, Indonesia
Agriculture, Biological Sciences & Forestry Chemistry Mathematics Physics

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Nighttime Lights in Unit-Level Small Area Estimation for Estimating per Capita Expenditure Diaztri Hazam; Erfiani Erfiani; Anang Kurnia
ZERO: Jurnal Sains, Matematika dan Terapan Vol 10, No 2 (2026): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v10i2.28716

Abstract

The most widely used auxiliary variables for estimating per capita expenditure using small area estimation (SAE) are from National Socio-Economic Survey (SUSENAS) or Village Potential (PODES) data. Another alternative is remote sensing, which can quickly and cheaply identify area characteristics, such as nighttime lights (NTL). This study will compare the SAE model with auxiliary variables using PODES data, NTL data, and a combination of both. The method used is a unit-level SAE model with log-transformation to estimate per capita expenditure at the subdistrict level in Bandung Regency.  Model performance was assessed using Relative Root Mean Squared Error (RRMSE), Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC). Estimation from all models have a similar range. The model with auxiliary variables using PODES data and combined data has similar RRMSE, AIC, and BIC. The model with auxiliary variables using only NTL data has the smallest RRMSE, AIC, and BIC.
Co-Authors Diaztri Hazam Erfiani Erfiani