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Journal

DISTRIBUSI KEJADIAN DBD BERDASARKAN KEPADATAN PENDUDUK DAN JENTIK NYAMUK DI PUSKESMAS KEDUNGMUNDU

HIGEIA (Journal of Public Health Research and Development) · Vol. 8 No. 4 (2026)

DOI
10.15294/higeia.v8i4.1182
ISSN
2541-5603, 2541-5581
Published
2026-10-14
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Abstrak Puskesmas Kedungmundu merupakan puskesmas dengan kasus DBD tertinggi di Kota Semarang. Pada tahun 2022 kasus DBD mengalami kenaikan yang signifikan dengan nilai IR 66,99 per 100.000 penduduk (telah melebihi target nasional). Penelitian ini bertujuan untuk mengetahui distribusi kejadian DBD berdasarkan kepadatan penduduk dan jentik nyamuk di wilayah kerja Puskesmas Kedungmundu. Jenis penelitian ini menggunakan penelitian deskriptif rancangan cross sectional dengan pendekatan studi geografis menggunakan Sistem Informasi Geografis (SIG). Sampel yang digunakan pada penelitian ini adalah total kasus DBD di Puskesmas Kedungmundu pada tahun 2022. Penelitian dilakukan pada bulan Oktober-November 2023. Teknik pengambilan sampel pada penelitian ini menggunakan metode total sampling. Data dalam penelitian ini dianalisis dengan menggunakan analisis univariat dan analisis pemetaan dengan metode klasifikasi dan overlay menggunakan QGIS. Hasil penelitian menunjukkan bahwa kepadatan penduduk dan jentik nyamuk mempengaruhi tingginya kejadian DBD di suatu wilayah. Sendangmulyo merupakan kelurahan dengan kasus tertinggi serta angka kepadatan penduduk dan jentik nyamuk tergolong kategori tinggi. Abstract Kedungmundu Health Center is the health center with the highest DHF cases in Semarang City. In 2022, DHF cases will experience a significant increase with an IR value of 66.99 by 100,000 population (exceed national target). This study aims to determine the distribution of DHF incidents based on population density and mosquito larvae in the Kedungmundu Health Center. This type of research uses a descriptive research cross sectional design with a geographic study approach using a Geographic Information System (GIS). The sample was the total number of DHF in the Kedungmundu Health Center in 2022. The research was conducted in October-November 2023. The sampling technique in this study used the total sampling method. The data in this study were analyzed using univariate analysis and mapping analysis with classification and overlay methods using QGIS. This study concluded that population density and mosquito larvae influence the high incidence of DHF in an area. Sendangmulyo is the sub-district with the highest cases and population density and mosquito larvae are in the high category.

Keywords

Collaboration network of the authors

31 authors · 51 co-authorship links

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  • Institut Agama Islam Negeri Kendari
  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Bertakalswa HermawatiAffiliation unknown3
Yunita Dyah Puspita SantikAffiliation unknown2
Fitri IndrawatiAffiliation unknown2
Anisa FitriInstitut Agama Islam Negeri Kendari2
Arvia Dhitya MaharhaniAffiliation unknown2
Devita Uzlah SibaraniAffiliation unknown1
Sherly GusnawanAffiliation unknown1
Hermi Nur LaelaAffiliation unknown1
Arum SiwiendrayantiState University of Semarang1
Fitriana PuspitaraniAffiliation unknown1
Isnaningsih IsnaningsihAffiliation unknown1
Fitriyana FitriyanaAffiliation unknown1
Rudatin WindraswaraAffiliation unknown1
Annisa Arum Kartika DewiAffiliation unknown1
Atiya InayahAffiliation unknown1
Siti Yuliana SyafriatiAffiliation unknown1
Nila KusumawatiAffiliation unknown1
Aswi Nur SyahbaniAffiliation unknown1
Ragil AndrianiAffiliation unknown1
Isnaini Alfazcha ZukhrufAffiliation unknown1
Azizah Nur AbdillahAffiliation unknown1
Afifah Maulidia Az Zahro'Affiliation unknown1
Dela Putri WulandariAffiliation unknown1
Nanda Putri DewantiAffiliation unknown1
Siti Lailatin NasifahAffiliation unknown1
Ella Wahyu IrawanAffiliation unknown1
Erna Zuliana MuanifahAffiliation unknown1
Intan Tasya Az ZahraAffiliation unknown1
Dwi Salsabilla PutriAffiliation 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/journals/HIGEIA/oai, first harvested 5 Nov 2026, last seen 5 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">DISTRIBUSI KEJADIAN DBD BERDASARKAN KEPADATAN PENDUDUK DAN JENTIK NYAMUK DI PUSKESMAS KEDUNGMUNDU</dc:title>
	<dc:creator xml:lang="en">Febrian, Jayanti Evananda</dc:creator>
	<dc:creator xml:lang="en"> Sukendra, Dyah Mahendrasari</dc:creator>
	<dc:subject xml:lang="en">Keywords: DHF, geographic, overlay, mapping, QGIS</dc:subject>
	<dc:description xml:lang="en">Abstrak
Puskesmas Kedungmundu merupakan puskesmas dengan kasus DBD tertinggi di Kota Semarang. Pada tahun 2022 kasus DBD mengalami kenaikan yang signifikan dengan nilai IR 66,99 per 100.000 penduduk (telah melebihi target nasional). Penelitian ini bertujuan untuk mengetahui distribusi kejadian DBD berdasarkan kepadatan penduduk dan jentik nyamuk di wilayah kerja Puskesmas Kedungmundu. Jenis penelitian ini menggunakan penelitian deskriptif rancangan cross sectional dengan pendekatan studi geografis menggunakan Sistem Informasi Geografis (SIG). Sampel yang digunakan pada penelitian ini adalah total kasus DBD di Puskesmas Kedungmundu pada tahun 2022. Penelitian dilakukan pada bulan Oktober-November 2023. Teknik pengambilan sampel pada penelitian ini menggunakan metode total sampling. Data dalam penelitian ini dianalisis dengan menggunakan analisis univariat dan analisis pemetaan dengan metode klasifikasi dan overlay menggunakan QGIS. Hasil penelitian menunjukkan bahwa kepadatan penduduk dan jentik nyamuk mempengaruhi tingginya kejadian DBD di suatu wilayah. Sendangmulyo merupakan kelurahan dengan kasus tertinggi serta angka kepadatan penduduk dan jentik nyamuk tergolong kategori tinggi.
Abstract
Kedungmundu Health Center is the health center with the highest DHF cases in Semarang City. In 2022, DHF cases will experience a significant increase with an IR value of 66.99 by 100,000 population (exceed national target). This study aims to determine the distribution of DHF incidents based on population density and mosquito larvae in the Kedungmundu Health Center. This type of research uses a descriptive research cross sectional design with a geographic study approach using a Geographic Information System (GIS). The sample was the total number of DHF in the Kedungmundu Health Center in 2022. The research was conducted in October-November 2023. The sampling technique in this study used the total sampling method. The data in this study were analyzed using univariate analysis and mapping analysis with classification and overlay methods using QGIS. This study concluded that population density and mosquito larvae influence the high incidence of DHF in an area. Sendangmulyo is the sub-district with the highest cases and population density and mosquito larvae are in the high category.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-10-14</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/HIGEIA/article/view/1182</dc:identifier>
	<dc:identifier>10.15294/higeia.v8i4.1182</dc:identifier>
	<dc:source xml:lang="en">HIGEIA (Journal of Public Health Research and Development); Vol. 8 No. 4 (2024): October 2024</dc:source>
	<dc:source>2541-5603</dc:source>
	<dc:source>2541-5581</dc:source>
	<dc:source>10.15294/higeia.v8i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/HIGEIA/article/view/1182/11716</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 HIGEIA (Journal of Public Health Research and Development)</dc:rights>
</oai_dc:dc>