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Factors Related with Dengue Hemorrhagic Fever Incidence in 2008-2017

Unnes Journal of Public Health · Vol. 8 No. 1 (2019) · pp. 64–72

DOI
10.15294/ujph.v8i1.26549
ISSN
2548-7604, 2252-6781
Published
2019-01-31
Publisher
Universitas Negeri Semarang (UNNES) in cooperation with Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))
Language
eng

Abstract

Abstract The number of cases of DHF in Indonesia from year to year tends to increase and the area of ​​spread is increasingly widespread. The incidence of DHF in the city of Semarang over the past 10 years (2008-2017) experienced fluctuations. The purpose of this study was to determine the factors that correlated with data on DHF incidents in Semarang City in 2008-2017. This research is a quantitative descriptive study with correlation study by using a type of time series analysis design. Data analysis was performed in univariate, bivariate by using Spearman correlation test, and multivariate by using Multiple Linear Regression test. The results showed that rainfall (r = 0.201; p = 0.028) and population density (r = -0.761; p = 0,000) correlated with DHF incidence data. Air temperature (r = -0,150; p = 0,103) and air humidity (r = 0,171; p = 0,062) did not correlate with DHF incident data. Rainfall, air temperature, air humidity, and population density had an effect of 62.8% on DHF incident data and the most influential factor is air humidity. The conclusion of this study is that rainfall and population density correlate with DHF incidence data, the most influential factor on DHF incidence data is air humidity. Abstrak Jumlah kasus DBD di Indonesia dari tahun ke tahun cenderung meningkat dan daerah penyebarannya semakin luas. Angka kejadian DBD di Kota Semarang selama 10 tahun terakhir (2008-2017) mengalami fluktuasi. Tujuan dari penelitian ini adalah untuk mengetahui faktor yang berhubungan dengan data kejadian DBD di Kota Semarang tahun 2008-2017. Penelitian ini merupakan penelitian kuantitatif deskriptif dengan studi korelasi menggunakan jenis desain analisis seri waktu. Analisis data dilakukan secara univariat, bivariat menggunakan uji korelasi Spearman, dan multivariat menggunakan uji Regresi Linier Berganda. Hasil menunjukkan bahwa curah hujan (r=0,201; p=0,028) dan kepadatan penduduk (r=-0,761; p=0,000) berhubungan dengan data kejadian DBD. Suhu udara (r=-0,150; p=0,103) dan kelembaban udara (r=0,171; p=0,062) tidak berhubungan dengan data kejadian DBD. Curah hujan, suhu udara, kelembaban udara, dan kepadatan penduduk berpengaruh sebesar 62,8% terhadap data kejadian DBD dan faktor yang paling berpengaruh adalah kelembaban udara. Simpulan dari penelitian ini adalah curah hujan dan kepadatan penduduk berhubungan dengan data kejadian DBD, faktor yang paling berpengaruh terhadap data kejadian DBD adalah kelembaban udara.

Collaboration network of the authors

21 authors · 25 co-authorship links

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Co-authorOrganisationJoint articles
Novan Esma RozantoAffiliation unknown1
Imaduddin Zaid HarviyantoAffiliation unknown1
Galuh Nita PrameswariAffiliation unknown1
Titik Nur IdayaniAffiliation unknown1
Fitriyana FitriyanaAffiliation unknown1
Dyah Mahendrasari SukendraAffiliation unknown1
Halimah Tri UtamiAffiliation unknown1
Rahina Esti NirwanaAffiliation unknown1
Dewi Latifatul JanahAffiliation unknown1
Adzillatin 'Alal Mu'miniinaAffiliation unknown1
Nurur RosidaAffiliation unknown1
Irwan BudionoAffiliation unknown1
Rengganis PrisklatiwiAffiliation unknown1
Ani Fatkhi RizkiAffiliation unknown1
Muhammad AzinarAffiliation unknown1
Veronica Prila ArlindaAffiliation unknown1
Annisa Sholikhatul AddawiyahAffiliation unknown1
Miftah FatmawatiAffiliation unknown1
Dyah Ayu Bunga PrihastutiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/sju/index.php/ujph/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Factors Related with Dengue Hemorrhagic Fever Incidence in 2008-2017</dc:title>
	<dc:creator>Angelina, Claudia Ratna</dc:creator>
	<dc:creator>Windraswara, Rudatin</dc:creator>
	<dc:description xml:lang="en-US">Abstract
&amp;nbsp;
The number of cases of DHF in Indonesia from year to year tends to increase and the area of ​​spread is increasingly widespread. The incidence of DHF in the city of Semarang over the past 10 years (2008-2017) experienced fluctuations. The purpose of this study was to determine the factors that correlated with data on DHF incidents in Semarang City in 2008-2017. This research is a quantitative descriptive study with correlation study by using a type of time series analysis design. Data analysis was performed in univariate, bivariate by using Spearman correlation test, and multivariate by using Multiple Linear Regression test. The results showed that rainfall (r = 0.201; p = 0.028) and population density (r = -0.761; p = 0,000) correlated with DHF incidence data. Air temperature (r = -0,150; p = 0,103) and air humidity (r = 0,171; p = 0,062) did not correlate with DHF incident data. Rainfall, air temperature, air humidity, and population density had an effect of 62.8% on DHF incident data and the most influential factor is air humidity. The conclusion of this study is that rainfall and population density correlate with DHF incidence data, the most influential factor on DHF incidence data is air humidity.
Abstrak
Jumlah kasus DBD di Indonesia dari tahun ke tahun cenderung meningkat dan daerah penyebarannya semakin luas. Angka kejadian DBD di Kota Semarang selama 10 tahun terakhir (2008-2017) mengalami fluktuasi. Tujuan dari penelitian ini adalah untuk mengetahui faktor yang berhubungan dengan data kejadian DBD di Kota Semarang tahun 2008-2017. Penelitian ini merupakan penelitian kuantitatif deskriptif dengan studi korelasi menggunakan jenis desain analisis seri waktu. Analisis data dilakukan secara univariat, bivariat menggunakan uji korelasi Spearman, dan multivariat menggunakan uji Regresi Linier Berganda. Hasil menunjukkan bahwa curah hujan (r=0,201; p=0,028) dan kepadatan penduduk (r=-0,761; p=0,000) berhubungan dengan data kejadian DBD. Suhu udara (r=-0,150; p=0,103) dan kelembaban udara (r=0,171; p=0,062) tidak berhubungan dengan data kejadian DBD. Curah hujan, suhu udara, kelembaban udara, dan kepadatan penduduk berpengaruh sebesar 62,8% terhadap data kejadian DBD dan faktor yang paling berpengaruh adalah kelembaban udara. Simpulan dari penelitian ini adalah curah hujan dan kepadatan penduduk berhubungan dengan data kejadian DBD, faktor yang paling berpengaruh terhadap data kejadian DBD adalah kelembaban udara.
&amp;nbsp;</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang (UNNES) in cooperation with Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))</dc:publisher>
	<dc:date>2019-01-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/ujph/article/view/26549</dc:identifier>
	<dc:identifier>10.15294/ujph.v8i1.26549</dc:identifier>
	<dc:source xml:lang="en-US">Unnes Journal of Public Health; Vol 8 No 1 (2019): Unnes Journal of Public Health; 64-72</dc:source>
	<dc:source>2548-7604</dc:source>
	<dc:source>2252-6781</dc:source>
	<dc:source>10.15294/ujph.v8i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/ujph/article/view/26549/13373</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Unnes Journal of Public Health</dc:rights>
</oai_dc:dc>