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Mapping Stunting and Its Risk Factors in Sub-Districts Throughout Semarang City in 2022

Journal of Health Education · Vol. 10 No. 1 (2025) · pp. 60–72

DOI
10.15294/jhealthedu.v10i1.5728
ISSN
2528-2905, 2527-4252
Published
2025-07-10
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Background: The prevalence of stunting in Semarang City is the lowest compared to other districts/cities at 10.40%. Semarang City has not used a mapping system in handling stunting cases even though mapping stunting and its risk factors with GIS can help policymakers read areas that can be used as a basis for determining stunting-related programs because each region has different characteristics. Methods: This study combined an ecological study and mapping approach with a cross-sectional design. This research was conducted in 2022. The population in this study were all 16 sub-districts in Semarang City. The sampling technique in this study was total sampling. Results: The results showed that in the mapping of correlated risk factors, the variables of the percentage of households that have access to safe sanitation, percentage of households with shared toilet, percentage of LBW, percentage of pregnant women with parity >4, and percentage of pregnant women aged >35 years old were significantly associated with the prevalence of stunting. Conclusions: Sub-districts that can be prioritized for stunting prevention, treatment, and screening are Semarang Selatan, Semarang Utara, Semarang Tengah, Semarang Timur, and Tugu

Keywords

Collaboration network of the authors

40 authors · 125 co-authorship links · showing the 40 most connected

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  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
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Co-authorOrganisationJoint articles
Mahalul AzamAffiliation unknown5
Widya Hary CahyatiAffiliation unknown4
Hanif Pandu SuhitoAffiliation unknown3
Oktia Woro Kasmini HandayaniState University of Semarang3
Luqman AlwiAffiliation unknown2
Nadiya Arawinda AndarAffiliation unknown2
Ari YuniastutiState University of Semarang2
Tandiyo RahayuAffiliation unknown2
Intan ZainafreeAffiliation unknown2
Usman IqbalAffiliation unknown2
Silvie Sasria MaharaniAffiliation unknown1
Dani MiarsoAffiliation unknown1
Mala RizqiyaAffiliation unknown1
Sholikun SholikunAffiliation unknown1
Gisela Habibah AisyahAffiliation unknown1
Palgunadi PalgunadiAffiliation unknown1
Amelia Fitra KhasanahAffiliation unknown1
Diyana SalsabilaAffiliation unknown1
Noor HidayahAffiliation unknown1
Evi WidowatiAffiliation unknown1
Yulia Nur KhayatiAffiliation unknown1
Andi Irwan BenardiAffiliation unknown1
Izha Fajar Al IsynainiAffiliation unknown1
Ratna Sri IndrawatiAffiliation unknown1
Yuni WijayantiAffiliation unknown1
Elisa UlfianaAffiliation unknown1
Vistra VeftisiaAffiliation unknown1
Ari AndayaniAffiliation unknown1
Irwan BudionoAffiliation unknown1
Amalia Augustina FadlilahAffiliation unknown1
Emi Yela Utami SariAffiliation unknown1
Yhoaninda Nurul IlmiAffiliation unknown1
Sri Ratna RahayuAffiliation unknown1
Hadi KurniawanAffiliation unknown1
Safaya AmadaAffiliation unknown1
Lili JunaidiAffiliation unknown1
Casmuti CasmutiAffiliation 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/jhealthedu/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Mapping Stunting and Its Risk Factors in Sub-Districts Throughout Semarang City in 2022</dc:title>
	<dc:creator xml:lang="en">Azizah, Agtika Yasyfa Nur </dc:creator>
	<dc:creator xml:lang="en">Ningrum, Dina Nur Anggraini</dc:creator>
	<dc:creator xml:lang="en">Wahyuningsih, Siti Endah</dc:creator>
	<dc:subject xml:lang="en">stunting determinant</dc:subject>
	<dc:subject xml:lang="en">geographic information system</dc:subject>
	<dc:subject xml:lang="en">ecological study</dc:subject>
	<dc:description xml:lang="en"> Background: The prevalence of stunting in Semarang City is the lowest compared to other districts/cities at 10.40%. Semarang City has not used a mapping system in handling stunting cases even though mapping stunting and its risk factors with GIS can help policymakers read areas that can be used as a basis for determining stunting-related programs because each region has different characteristics. Methods: This study combined an ecological study and mapping approach with a cross-sectional design. This research was conducted in 2022. The population in this study were all 16 sub-districts in Semarang City. The sampling technique in this study was total sampling.  Results: The results showed that in the mapping of correlated risk factors, the variables of the percentage of households that have access to safe sanitation,  percentage of households with shared toilet, percentage of LBW, percentage of pregnant women with parity &amp;gt;4, and percentage of pregnant women aged &amp;gt;35 years old were significantly associated with the prevalence of stunting. Conclusions: Sub-districts that can be prioritized for stunting prevention, treatment, and screening are Semarang Selatan, Semarang Utara, Semarang Tengah, Semarang Timur, and Tugu</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-07-10</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/jhealthedu/article/view/5728</dc:identifier>
	<dc:identifier>10.15294/jhealthedu.v10i1.5728</dc:identifier>
	<dc:source xml:lang="en">Journal of Health Education; Vol. 10 No. 1 (2025); 60-72</dc:source>
	<dc:source>2528-2905</dc:source>
	<dc:source>2527-4252</dc:source>
	<dc:source>10.15294/jhealthedu.v10i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jhealthedu/article/view/5728/4908</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Journal of Health Education</dc:rights>
</oai_dc:dc>