Analysis of Poverty Data in Bengkulu City by Small Area Estimation using Penalized Splines Regression

Idhia Sriliana, Etis Sunandi, Ulfasari Rafflesia

2018

Abstract

This study aims to analyze poverty data in Bengkulu City. The method of this study is Small Area Estimation (SAE) with penalized splines regression approach. Then descriptive statistical analysis is carried out. The data used is the Bureau of Statistics (BPS) Of Bengkulu with some poverty indicators as predictor variables. The results showed the best spline model is a model that is considered linear spline with some node points. Evaluation of model used optimal GCV. The results of descriptive statistical analysis of the average of per capita outcome at the village level in the city of Bengkulu using the extensive estimation method with the p-spline regression approach has an average value of Rp.1,009,817.20. About 75% of urban villages in the city of Bengkulu have an average per capita yield of Rp 1,244,188.15 and the twenty-five percent of urban villages in Kota Bengkulu have an average per capita outcome about Rp 753.527.25. The high average per capita outcome is in the Kebun Dahri Village Rp. 3.115.614,20 and the lowest outcome from the Padang Nangka Village that is Rp 439.830.40.

Paper Citation

in Harvard Style

Sriliana I., Sunandi E. and Rafflesia U. (2018). Analysis of Poverty Data in Bengkulu City by Small Area Estimation using Penalized Splines Regression.In Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs, ISBN 978-989-758-407-7, pages 253-259. DOI: 10.5220/0008520302530259

in Bibtex Style

@conference{icmis18,
author={Idhia Sriliana and Etis Sunandi and Ulfasari Rafflesia},
title={Analysis of Poverty Data in Bengkulu City by Small Area Estimation using Penalized Splines Regression},
booktitle={Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,},
year={2018},
pages={253-259},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008520302530259},
isbn={978-989-758-407-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Mathematics and Islam - Volume 1: ICMIs,
TI - Analysis of Poverty Data in Bengkulu City by Small Area Estimation using Penalized Splines Regression
SN - 978-989-758-407-7
AU - Sriliana I.
AU - Sunandi E.
AU - Rafflesia U.
PY - 2018
SP - 253
EP - 259
DO - 10.5220/0008520302530259