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Analisis Biplot pada Data Kasus Penyakit di Beberapa Daerah di Indonesia Tahun 2009

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In order to reduce the spread of disease in developing countries such as Indonesia, data is rate as well as practical methods to determine how to cope with the diseases that increasing rapidly each year.

Descriptive statistical methods are generally only describe data on-dimensional, meaning that only one variable, so that when applied to data of high-dimensional visual representations which can be used to detect in an area with prevalent diseases and find out what the correlation between the cases such as tuberculosis and HIV-AIDS and the closeness between the two disease, only one table is needed. Biplot analysis has been impromented in an area that has a lot of cases of measles in the city of Batam in the year 2009 among other Sei Beduk District, Lubuk Baja and Batam City.

Districts that have a lot of cases of STIs is Batu Aji and Nongsa . While the data bilpot analysis for the province of East Nusa Tenggara in 2009, Kupang regency, and East Sumba regency is still need intensive assistance for nearly all disease variables clustered in the area.

Keywords: disease, visual representation, data, correlation, the data dimension

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

Buletin Penelitian Kesehatan, 41 (2) : 120-130

Penerbit

Jakarta : Sekretariat Balitbangkes., 2013

Deskripsi Fisik

11p

Bahasa

ISBN/ISSN

0125-9695

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

DISEASE

Info Detail Spesifik

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Pernyataan Tanggungjawab

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Versi lain/terkait

Lampiran Berkas

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