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Journal

PRAKTIK BIDAN DALAM PENGGUNAAN ALGORITMA MANAJEMEN TERPADU BAYI MUDA PADA KUNJUNGAN NEONATAL

Unnes Journal of Public Health · Vol. 6 No. 1 (2017) · pp. 1–8

DOI
10.15294/ujph.v6i1.10362
ISSN
2548-7604, 2252-6781
Published
2017-01-31
Publisher
Universitas Negeri Semarang (UNNES) in cooperation with Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))
Language
eng

Abstract

Neonatal mortality in Indonesia declined slowly and tended to stagnant in number of 20/1000 live births. Proportion of neonatal mortality in Cilacap Regency at 2015 reached 69% of infant mortality. A quality neonatal care might decrease 34-62% mortality, but not all midwives used integrated management of neonatal and childhood illness (IMNCI) algorithm. This study aimed to figure out factors associated with midwives’ practice on using IMNCI algorithm in neonatal care. This study used cross sectional approach with purposive sampling until 60 respondents were collected. Data were analyzed with chi-square test. There were association between knowledge (p=0.000), attitude (p=0.023), availability of facilities (p=0.023), support from leader (p=0.017), length of work (p=0.011), and supervision (p=0.039) with midwives’ practice on using IMNCI algorithm. There were not assocation on age (p=0.124), employment status (p=0.124), extra work load (p=0.290), and reward (p=0.053). Factors associated with midwives’ practice on using IMNCI algorithm in neonatal care were knowledge, attitude, availability of facilities, support from leader, length of work, and supervision.

Collaboration network of the authors

38 authors · 88 co-authorship links

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  • State University of Semarang
  • Affiliation unknown
  • Different organisations
  • Same organisation
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Show as table
Co-authorOrganisationJoint articles
Putri Nur TamallaAffiliation unknown2
Mahalul AzamAffiliation unknown2
Arulita Ika FibrianaAffiliation unknown2
Triana Ayu HapsariAffiliation unknown1
Elisa Happy AmaliaAffiliation unknown1
Andita KusumaningrumAffiliation unknown1
Maria IndrianaAffiliation unknown1
Hauna Anja RamadhantyAffiliation unknown1
Hamimah HamimahAffiliation unknown1
Lu'luk Ni'matutstsaniaAffiliation unknown1
Asti WidyastutiAffiliation unknown1
Sofwan IndarjoState University of Semarang1
Irwan BudionoAffiliation unknown1
Lukman FauziAffiliation unknown1
Maulina IstighfarohAffiliation unknown1
Zahra Amalia GardynaAffiliation unknown1
Anna NugrahaniAffiliation unknown1
Dita ErvianaAffiliation unknown1
Hikmah Ayu IsnadiaAffiliation unknown1
Adinda Yustika SeftianiAffiliation unknown1
Sholihatul MukarromahAffiliation unknown1
Yunita Kristina KambuAffiliation unknown1
Vinna Fitri Anis AnnisaAffiliation unknown1
Anis KiswantiAffiliation unknown1
Yetik MarlindaAffiliation unknown1
Maskuniawan MaskuniawanAffiliation unknown1
Rizqi FarasariAffiliation unknown1
Sugiharto SugihartoAffiliation unknown1
Rudatin WindraswaraAffiliation unknown1
Veronica Prila ArlindaAffiliation unknown1
Hendra Eka PrabawaAffiliation unknown1
Mohammad Zen RahfiludinAffiliation unknown1
Alfiana Ainun NisaAffiliation unknown1
Claudia PermatasariAffiliation unknown1
Irfan SholahuddinAffiliation unknown1
Gunawan Sapto IndriantoAffiliation 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">PRAKTIK BIDAN DALAM PENGGUNAAN ALGORITMA MANAJEMEN TERPADU BAYI MUDA PADA KUNJUNGAN NEONATAL</dc:title>
	<dc:creator>Iraningsih, Wahyu</dc:creator>
	<dc:creator>Azinar, Muhammad</dc:creator>
	<dc:description xml:lang="en-US">Neonatal mortality in Indonesia declined slowly and tended to stagnant in number of 20/1000 live births. Proportion of neonatal mortality in Cilacap Regency at 2015 reached 69% of infant mortality. A quality neonatal care might decrease 34-62% mortality, but not all midwives used integrated management of neonatal and childhood illness (IMNCI) algorithm. This study aimed to figure out factors associated with midwives’ practice on using IMNCI algorithm in neonatal care. This study used cross sectional approach with purposive sampling until 60 respondents were collected. Data were analyzed with chi-square test. There were association between knowledge (p=0.000), attitude (p=0.023), availability of facilities (p=0.023), support from leader (p=0.017), length of work (p=0.011), and supervision (p=0.039) with midwives’ practice on using IMNCI algorithm. There were not assocation on age (p=0.124), employment status (p=0.124), extra work load (p=0.290), and reward (p=0.053). Factors associated with midwives’ practice on using IMNCI algorithm in neonatal care were knowledge, attitude, availability of facilities, support from leader, length of work, and supervision.</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>2017-01-31</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/10362</dc:identifier>
	<dc:identifier>10.15294/ujph.v6i1.10362</dc:identifier>
	<dc:source xml:lang="en-US">Unnes Journal of Public Health; Vol 6 No 1 (2017): Unnes Journal Of Public Health; 1-8</dc:source>
	<dc:source>2548-7604</dc:source>
	<dc:source>2252-6781</dc:source>
	<dc:source>10.15294/ujph.v6i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/ujph/article/view/10362/8511</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2017 Unnes Journal of Public Health</dc:rights>
</oai_dc:dc>