ANALYSIS OF POVERTY DATA IN BENGKULU CITY BY SMALL AREA ESTIMATION USING PENALIZED SPLINES REGRESSION

Sriliana, Idhia and Etis, Sunandi and Ulfasari, Rafflesia (2018) ANALYSIS OF POVERTY DATA IN BENGKULU CITY BY SMALL AREA ESTIMATION USING PENALIZED SPLINES REGRESSION. In: UNSPECIFIED.

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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 pspline 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.

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