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Monitoring and Managing Stress during Pregnancy with the ‘Smart Mother’ Information System for Early Detection

Jurnal Kesehatan Masyarakat · Vol. 21 No. 4 (2026) · pp. 873–883

DOI
10.15294/kemas.v21i4.38420
ISSN
2355-3596, 1858-1196
Published
2026-07-20
Publisher
Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)
Language
eng

Abstract

Psychological adjustment during pregnancy plays a vital role in maintaining maternal mental health and supporting fetal well-being. This study developed and evaluated Smart Mother, a smartphone based application designed for early detection and management of stress among pregnant women. The system was developed using the System Development Life Cycle (SDLC) framework and tested through a randomized controlled trial following CONSORT guidelines. A pretest–posttest design was conducted with 120 pregnant women randomly assigned to an intervention group (n = 60) and a control group (n = 60) from March to October 2023. The intervention group utilized the Smart Mother application, which integrates stress screening and self management features, while the control group received conventional printed educational materials. Statistical analysis using the Wilcoxon signed-rank test, Mann–Whitney U-test, and multivariate analysis showed a significantly greater reduction in stress scores in the intervention group compared with the control group (7.19 ± 5.8 vs. 5.87 ± 4.2; p< 0.01). Evaluation based on the Technology Acceptance Model (TAM) demonstrated high usability, with an average score of 4.26 (85.2%). These findings suggest that Smart Mother is an effective digital tool for improving stress monitoring and management during pregnancy and supports more comprehensive antenatal mental health care.

Keywords

Collaboration network of the authors

40 authors · 103 co-authorship links · 6 across different organisations · showing the 40 most connected

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

  • Hasanuddin University
  • University of Brawijaya
  • Universitas Halu Oleo
  • IPB University
  • State University of Malang
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Yudi YudiAffiliation unknown8
RAHAYU RAHAYUUniversitas Halu Oleo6
Dheny WahyudhiAffiliation unknown6
Sri WidyartiAffiliation unknown5
Muhaimin Rifa’iUniversity of Brawijaya5
Haryadi HaryadiAffiliation unknown4
Herry LiyusAffiliation unknown4
Aris SoewondoAffiliation unknown4
Asnath Maria FuahAffiliation unknown3
Muhammad RidwanHasanuddin University3
Fikriya Novita SariAffiliation unknown3
Luki AbdullahIPB University2
Rachmat SomanjayaAffiliation unknown2
Mohamad Agus SetiadiAffiliation unknown2
Sudarmin SudarminAffiliation unknown2
Netty HerawatyAffiliation unknown2
Wiwik TiswiyantiAffiliation unknown2
Sahuri LasmadiAffiliation unknown2
Hamzah HamzahAffiliation unknown2
Rainiyati RainiyatiAffiliation unknown2
Elly SudartiAffiliation unknown2
Amri AmirAffiliation unknown2
Susfa YettiAffiliation unknown2
Fauziatul FajarohState University of Malang2
Iwan RudiartoAffiliation unknown2
Muhammad Halim NatsirUniversity of Brawijaya2
Muktiningsih NurjayadiAffiliation unknown2
Gladys Indira PutriAffiliation unknown2
Jefferson Lynford DeclanAffiliation unknown2
Rosita GIo AnggraeniAffiliation unknown2
Tiara FahrizaAffiliation unknown2
Adinda Myra Amalia PutriAffiliation unknown2
elda azizah 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/kemas/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Monitoring and Managing Stress during Pregnancy with the ‘Smart Mother’ Information System for Early Detection</dc:title>
	<dc:creator xml:lang="en">Runjati, Runjati</dc:creator>
	<dc:creator xml:lang="en">Rahayu, Sri</dc:creator>
	<dc:creator xml:lang="en">Budiyati, Arum </dc:creator>
	<dc:creator xml:lang="en">Wijayanti, Krisdiana </dc:creator>
	<dc:creator xml:lang="en">Mundarti</dc:creator>
	<dc:creator xml:lang="en">Pujiastuti, Rr Sri Endang </dc:creator>
	<dc:creator xml:lang="en">Abadi, Nur </dc:creator>
	<dc:subject xml:lang="en">Pregnant women, stress, early detection, information systems, Smart Mother</dc:subject>
	<dc:description xml:lang="en">Psychological adjustment during pregnancy plays a vital role in maintaining maternal mental health and supporting fetal well-being. This study developed and evaluated Smart Mother, a smartphone based application designed for early detection and management of stress among pregnant women. The system was developed using the System Development Life Cycle (SDLC) framework and tested through a randomized controlled trial following CONSORT guidelines. A pretest–posttest design was conducted with 120 pregnant women randomly assigned to an intervention group (n = 60) and a control group (n = 60) from March to October 2023. The intervention group utilized the Smart Mother application, which integrates stress screening and self management features, while the control group received conventional printed educational materials. Statistical analysis using the Wilcoxon signed-rank test, Mann–Whitney U-test, and multivariate analysis showed a significantly greater reduction in stress scores in the intervention group compared with the control group (7.19 ± 5.8 vs. 5.87 ± 4.2; p&amp;lt; 0.01). Evaluation based on the Technology Acceptance Model (TAM) demonstrated high usability, with an average score of 4.26 (85.2%). These findings suggest that Smart Mother is an effective digital tool for improving stress monitoring and management during pregnancy and supports more comprehensive antenatal mental health care.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang in collaboration with Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI Tingkat Pusat) and Jejaring Nasional Pendidikan Kesehatan (JNPK)</dc:publisher>
	<dc:date>2026-07-20</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/kemas/article/view/38420</dc:identifier>
	<dc:identifier>10.15294/kemas.v21i4.38420</dc:identifier>
	<dc:source xml:lang="en">Jurnal Kesehatan Masyarakat; Vol. 21 No. 4 (2026); 873-883</dc:source>
	<dc:source>2355-3596</dc:source>
	<dc:source>1858-1196</dc:source>
	<dc:source>10.15294/kemas.v21i4</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/kemas/article/view/38420/10741</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Jurnal Kesehatan Masyarakat</dc:rights>
</oai_dc:dc>