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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik Prosiding Seminar Nasional Official Statistics
Feriyanto, Muhamad
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences

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Small Area Estimation Approaches Using Satellite Imageries Auxiliary Data for Estimating Per Capita Expenditure in West Java, Indonesia Feriyanto, Muhamad; Arie Wahyu Wijayanto; Ika Yuni Wulansari; Parwanto, Novia Budi
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 2 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v16i2.799

Abstract

Introduction/Main Objectives: The economy of a country can determine the welfare of its people. One of the economic indicators in Indonesia is per capita expenditure, which has the lowest estimation at the district level. Background Problems: Sub-district level estimates provide detailed information on inequality that cannot be explained at the district level. Unfortunately, sub-district level estimates of per capita expenditure in Indonesia have poor Relative Standard Error (RSE) values. Research Method: The Small Area Estimation (SAE) method can improve estimator accuracy on small samples by using auxiliary variable information. Novelty: The existence of big geospatial data such as remote sensing provides an advantage in the efficient use of auxiliary variables. Finding Result: The Empirical Best Linear Unbiased Prediction (EBLUP) model using Nighttime Light Intensity (NTL) as an auxiliary variable provides the best results of the five proposed models. Remote sensing data can potentially be used in SAE auxiliary variables. 
Indeks Ekonomi Digital (IED): Pembentukan, Analisis, dan Implikasinya bagi Kebijakan Ekonomi Digital Level Provinsi Feriyanto, Muhamad; Lesmana, Muhammad Erza
Seminar Nasional Official Statistics Vol 2025 No 1 (2025): Seminar Nasional Official Statistics 2025
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2025i1.2429

Abstract

The rapidly growing global digital economy offers significant transformative potential for Indonesia. However, regional digital divides and the lack of comprehensive measurement tools are crucial issues that hinder the optimization of potential and the formulation of data-driven policies. This study aims to develop a Provincial Digital Economy Index (DEI) to measure the development of the digital economy in Indonesia. Three methods were used in the formation of the DEI: weighted average with PCA and entropy weights, and geometric mean. The results show that the PCA-weighted I is relatively more robust against extreme values. The PCA-weighted DEI has a strong positive correlation (
Co-Authors Arie Wahyu Wijayanto Ika Yuni Wulansari Lesmana, Muhammad Erza Parwanto, Novia Budi