Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIV

Human Immunodeficiency Virus (HIV) in East Java was not only occurred in urban areas. This is due to the population mobility and sexual lifestyles. This study aimed to classify districts/cities in East Java used Cluster K-Means analysis based on the number of high risk population that living with HI...

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Main Authors: Desy Yuanita Nugroho, Arief Wibowo
Format: Article
Language:English
Published: Universitas Airlangga 2019-12-01
Series:Jurnal Biometrika dan Kependudukan
Subjects:
Online Access:https://e-journal.unair.ac.id/JBK/article/view/12482
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spelling doaj-75504569131943f5a61951eaf8ab13d92021-06-02T05:47:33ZengUniversitas AirlanggaJurnal Biometrika dan Kependudukan2302-707X2540-88282019-12-018210911910.20473/jbk.v8i2.2019.109-1197714Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIVDesy Yuanita Nugroho0Arief Wibowo1Departemen Biostatistika dan Kependudukan, Fakultas Kesehatan Masyarakat, Universitas AirlanggaDepartemen Biostatistika dan Kependudukan, Fakultas Kesehatan Masyarakat, Universitas AirlanggaHuman Immunodeficiency Virus (HIV) in East Java was not only occurred in urban areas. This is due to the population mobility and sexual lifestyles. This study aimed to classify districts/cities in East Java used Cluster K-Means analysis based on the number of high risk population that living with HIV. This study was an observational study with an analytical method. The secondary data was taken from HIV and PIMS Situation Report of the East Java Provincial Health in 2017. This study obtained 3 optimal clusters, which were 4 districts/cities in cluster 1 named alert category, 24 districts/cities in cluster 2 named standby category and 10 districts/cities in cluster 3 named alert category. Proposed suggestions based on this study were prioritized early HIV test and counseling, provided adequate care, support and treatment for people living with HIV.https://e-journal.unair.ac.id/JBK/article/view/12482human immunodeficiency virus, key population, cluster k-means
collection DOAJ
language English
format Article
sources DOAJ
author Desy Yuanita Nugroho
Arief Wibowo
spellingShingle Desy Yuanita Nugroho
Arief Wibowo
Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIV
Jurnal Biometrika dan Kependudukan
human immunodeficiency virus, key population, cluster k-means
author_facet Desy Yuanita Nugroho
Arief Wibowo
author_sort Desy Yuanita Nugroho
title Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIV
title_short Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIV
title_full Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIV
title_fullStr Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIV
title_full_unstemmed Analisis Cluster K-Means Kabupaten/Kota di Jawa Timur Berdasarkan Level Epidemik HIV
title_sort analisis cluster k-means kabupaten/kota di jawa timur berdasarkan level epidemik hiv
publisher Universitas Airlangga
series Jurnal Biometrika dan Kependudukan
issn 2302-707X
2540-8828
publishDate 2019-12-01
description Human Immunodeficiency Virus (HIV) in East Java was not only occurred in urban areas. This is due to the population mobility and sexual lifestyles. This study aimed to classify districts/cities in East Java used Cluster K-Means analysis based on the number of high risk population that living with HIV. This study was an observational study with an analytical method. The secondary data was taken from HIV and PIMS Situation Report of the East Java Provincial Health in 2017. This study obtained 3 optimal clusters, which were 4 districts/cities in cluster 1 named alert category, 24 districts/cities in cluster 2 named standby category and 10 districts/cities in cluster 3 named alert category. Proposed suggestions based on this study were prioritized early HIV test and counseling, provided adequate care, support and treatment for people living with HIV.
topic human immunodeficiency virus, key population, cluster k-means
url https://e-journal.unair.ac.id/JBK/article/view/12482
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AT ariefwibowo analisisclusterkmeanskabupatenkotadijawatimurberdasarkanlevelepidemikhiv
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