Penerapan Metode Bayes Empirik pada Pendugaan Area Kecil (Studi tentang Proporsi Status Kepemilikan Kartu Jaminan Kesehatan Masyarakat (JAMKESMAS) di Kota Takengon Kabupaten Aceh Tengah)

Abstract

ABSTRACT Small area estimation is useful to estimate small sub population of a certain area. In binary data, Beta-Binomial mode can be used to estimate a perimeter of a small area. There two methods available in small area estimation using binary data, i.e empirical Bayes and hierarchical Bayes. To get a proportional estimation result, emprical Bayes method is used in this thesis. The purpose of this thesis is to measure the performance of direct estimation and empirical Bayes estimation that are applied in a small area with a binary case. The application of proportional status of “Kartu Jaminan Kesehatan Masyarakat (Jamkesmas)” ownership in Takengon, Aceh Tengah shows that the estimation of empirical Bayes applied in Beta-Binomial mode gives a more detailed result than that of direct estimation. Key words : Small area estimation, binary data, empirical Bayes.