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Spasiotemporal Demam Berdarah Dengue berdasarkan House Index, Kepadatan Penduduk dan Kepadatan Rumah

HIGEIA (Journal of Public Health Research and Development) · Vol. 4 No. 2 (2020) · pp. 168–177

DOI
10.15294/higeia.v4i2.32507
ISSN
2541-5581, 2541-5603
Published
2020-05-01
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Abstrak Puskesmas Gambirsari merupakan daerah dengan angka kesakitan DBD tertinggi se-Kota Surakarta dari 5 tahun terakhir. Faktor lingkungan dan demografi dinilai cukup terlibat dalam terjadinya kasus DBD. Diperlukan upaya pencegahan DBD dengan menggambarkan pola persebaran kasus, faktor demografi maupun faktor lingkungan secara luas dan spesifik. Tujuan penelitian ini adalah untuk menggambarkan secara spasiotemporal kejadian DBD berdasarkan variabel HI, kepadatan penduduk, dan kepadatan rumah. Penelitian dilaksanakan pada bulan Juni 2019. Jenis penelitian ini adalah penelitian deskritif menggunakan pendekatan cross-sectional. Sampel yang digunakan adalah seluruh total populasi yang berjumlah 334 penderita DBD. Pengambilan titik koordinat menggunakan aplikasi GPS. Analisis data menggunakan analisis univarat dan analisis spasial. Hasil analisis spasiotemporal menunjukkan gambaran spasial secara temporal variabel penelitian dengan kejadian DBD. Kesimpulan dalam penelitian ini adalah kasus DBD tahun 2015 hingga Maret 2019 lebih endemis terjadi di RW yang memiliki kepadatan penduduk sedang, kepadatan rumah sedang serta HI yang rendah. Analisis buffer zone pada tahun 2019 daerah yang masuk kedalam area buffer adalah RW 8, RW 23, RW 17 dan RW 31. Abstract Gambirsari Public Health Center is the area with the highest DHF morbidity rate in the city of Surakarta from 2015 to 2017. Factors affecting the incidence of DHF in 2015 to March 2019 are house index, population density and house density. Efforts to prevent dengue fever spatially to describe the pattern of distribution of cases, demographic factors and environmental factors broadly and specifically in all work areas of the health center. This type of research is a descriptive study using a cross-sectional approach. The sampling technique is cluster sampling with 92 samples. Retrieval of the coordinates using the GPS application. Data analysis uses univarat analysis and spatial analysis. The results of the spatial-temporal analysis show the temporal picture of the study variables temporally with the incidence of DHF. The conclusion in this study is the case of DHF in 2015 to March 2019 more endemic in RWs that have moderate population density, moderate house density and low house index. Analysis of the buffer zone in 2019 the areas included in the buffer area are RW 8, RW 23, RW 17 and RW 31. Keywords: Spasiotemporal, population density, house density, HI

Collaboration network of the authors

38 authors · 68 co-authorship links · 2 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Institut Agama Islam Negeri Kendari
  • Mahidol University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Fitri IndrawatiAffiliation unknown3
Bertakalswa HermawatiAffiliation unknown2
Anisa FitriInstitut Agama Islam Negeri Kendari2
Yunita Dyah Puspita SantikAffiliation unknown2
Arvia Dhitya MaharhaniAffiliation unknown2
Arum SiwiendrayantiState University of Semarang1
Fitriana PuspitaraniAffiliation unknown1
Isnaningsih IsnaningsihAffiliation unknown1
Atiya InayahAffiliation unknown1
Siti Yuliana SyafriatiAffiliation unknown1
Aswi Nur SyahbaniAffiliation unknown1
Ragil AndrianiAffiliation unknown1
Isnaini Alfazcha ZukhrufAffiliation unknown1
Dela Putri WulandariAffiliation unknown1
Nanda Putri DewantiAffiliation unknown1
Jayanti Evananda FebrianAffiliation unknown1
Siti Lailatin NasifahAffiliation unknown1
Erna Zuliana MuanifahAffiliation unknown1
Intan Tasya Az ZahraAffiliation unknown1
Dwi Salsabilla PutriAffiliation unknown1
Nur Arifatun NuzzilahAffiliation unknown1
Sinta Dwi HabsariAffiliation unknown1
‪Eram Tunggul Pawenang‬State University of Semarang1
Ririn Wardani ZuhrufAffiliation unknown1
Fiki GhoniatussilmiAffiliation unknown1
Rizky Ayu FandikaAffiliation unknown1
Agcrista Permata KusumaAffiliation unknown1
Widya Hary CahyatiAffiliation unknown1
Yunita Dyah PSAffiliation unknown1
Tri Baskoro Tunggul SatotoAffiliation unknown1
Ignatius HardaningsihAffiliation unknown1
Ajib DiptyanusaAffiliation unknown1
Nur SiyamAffiliation unknown1
Bambang Wahyono WahyonoAffiliation unknown1
Shobiechah Aldillah WulandhariMahidol University1
Arniyati VersariAffiliation 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/higeia/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Spasiotemporal Demam Berdarah Dengue berdasarkan House Index, Kepadatan Penduduk dan Kepadatan Rumah</dc:title>
	<dc:creator>Kusumawati, Nila</dc:creator>
	<dc:creator>Sukendra, Dyah Mahendrasari</dc:creator>
	<dc:description xml:lang="en-US">Abstrak
Puskesmas Gambirsari merupakan daerah dengan angka kesakitan DBD tertinggi se-Kota Surakarta dari 5 tahun terakhir. Faktor lingkungan dan demografi dinilai cukup terlibat dalam terjadinya kasus DBD. Diperlukan upaya pencegahan DBD dengan menggambarkan pola persebaran kasus, faktor demografi maupun faktor lingkungan secara luas dan spesifik. Tujuan penelitian ini adalah untuk menggambarkan secara spasiotemporal kejadian DBD berdasarkan variabel HI, kepadatan penduduk, dan kepadatan rumah. Penelitian dilaksanakan pada bulan Juni 2019. Jenis penelitian ini adalah penelitian deskritif menggunakan pendekatan cross-sectional. Sampel yang digunakan adalah seluruh total populasi yang berjumlah 334 penderita DBD. Pengambilan titik koordinat menggunakan aplikasi GPS. Analisis data menggunakan analisis univarat dan analisis spasial. Hasil analisis spasiotemporal menunjukkan gambaran spasial secara temporal variabel penelitian dengan kejadian DBD. Kesimpulan dalam penelitian ini adalah kasus DBD tahun 2015 hingga Maret 2019 lebih endemis terjadi di RW yang memiliki kepadatan penduduk sedang, kepadatan rumah sedang serta HI yang rendah. Analisis buffer zone pada tahun 2019 daerah yang masuk kedalam area buffer adalah RW 8, RW 23, RW 17 dan RW 31.
Abstract
Gambirsari Public Health Center is the area with the highest DHF morbidity rate in the city of Surakarta from 2015 to 2017. Factors affecting the incidence of DHF in 2015 to March 2019 are house index, population density and house density. Efforts to prevent dengue fever spatially to describe the pattern of distribution of cases, demographic factors and environmental factors broadly and specifically in all work areas of the health center. This type of research is a descriptive study using a cross-sectional approach. The sampling technique is cluster sampling with 92 samples. Retrieval of the coordinates using the GPS application. Data analysis uses univarat analysis and spatial analysis. The results of the spatial-temporal analysis show the temporal picture of the study variables temporally with the incidence of DHF. The conclusion in this study is the case of DHF in 2015 to March 2019 more endemic in RWs that have moderate population density, moderate house density and low house index. Analysis of the buffer zone in 2019 the areas included in the buffer area are RW 8, RW 23, RW 17 and RW 31.
&amp;nbsp;
Keywords :&amp;nbsp;Spasiotemporal, population density, house density, HI </dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2020-05-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/higeia/article/view/32507</dc:identifier>
	<dc:identifier>10.15294/higeia.v4i2.32507</dc:identifier>
	<dc:source xml:lang="en-US">HIGEIA (Journal of Public Health Research and Development); Vol 4 No 2 (2020): HIGEIA: April 2020; 168-177</dc:source>
	<dc:source>2541-5581</dc:source>
	<dc:source>2541-5603</dc:source>
	<dc:source>10.15294/higeia.v4i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/higeia/article/view/32507/15894</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2020 HIGEIA (Journal of Public Health Research and Development)</dc:rights>
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