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Persebaran Penduduk yang Tidak Memiliki Dokumen Kependudukan di Indonesia

Authors: Irdam Ahmad;

Persebaran Penduduk yang Tidak Memiliki Dokumen Kependudukan di Indonesia

Abstract

There are two main problems of population administration system in Indonesia. Firstly, population data is not well managed and overlapped among many government institutions. Secondly, many people do not possess population documents because they did not report any vital events that have been occurred in their family, such as birth, death, move in and move out. These problems then cause list of election voters (DPT) in 2009 general election (Pemilu) are not valid. This study would like to know geographic maps of people that do not possess population documents by province. In addition, this study also search factors affecting people that do not possess paper official identities, using logistic regression. The results show that out of six independent variables used in this study; age and education of head of household, distance to village office, village status (urban/rural), household income and number of household members, only distance to village office which is significant in influence people do not possess population documents.

Keywords

Geography (General), maps, logistic regression, G1-922, population documents

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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