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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) · hlm. 873–883

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

Abstrak

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.

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  • Hasanuddin University
  • University of Brawijaya
  • Universitas Halu Oleo
  • IPB University
  • State University of Malang
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  • Organisasi berbeda
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Rekan penulisOrganisasiArtikel bersama
Yudi YudiAfiliasi tidak diketahui8
RAHAYU RAHAYUUniversitas Halu Oleo6
Dheny WahyudhiAfiliasi tidak diketahui6
Sri WidyartiAfiliasi tidak diketahui5
Muhaimin Rifa’iUniversity of Brawijaya5
Haryadi HaryadiAfiliasi tidak diketahui4
Herry LiyusAfiliasi tidak diketahui4
Aris SoewondoAfiliasi tidak diketahui4
Asnath Maria FuahAfiliasi tidak diketahui3
Muhammad RidwanHasanuddin University3
Fikriya Novita SariAfiliasi tidak diketahui3
Luki AbdullahIPB University2
Rachmat SomanjayaAfiliasi tidak diketahui2
Mohamad Agus SetiadiAfiliasi tidak diketahui2
Sudarmin SudarminAfiliasi tidak diketahui2
Netty HerawatyAfiliasi tidak diketahui2
Wiwik TiswiyantiAfiliasi tidak diketahui2
Sahuri LasmadiAfiliasi tidak diketahui2
Hamzah HamzahAfiliasi tidak diketahui2
Rainiyati RainiyatiAfiliasi tidak diketahui2
Elly SudartiAfiliasi tidak diketahui2
Amri AmirAfiliasi tidak diketahui2
Susfa YettiAfiliasi tidak diketahui2
Fauziatul FajarohState University of Malang2
Iwan RudiartoAfiliasi tidak diketahui2
Muhammad Halim NatsirUniversity of Brawijaya2
Muktiningsih NurjayadiAfiliasi tidak diketahui2
Gladys Indira PutriAfiliasi tidak diketahui2
Jefferson Lynford DeclanAfiliasi tidak diketahui2
Rosita GIo AnggraeniAfiliasi tidak diketahui2
Tiara FahrizaAfiliasi tidak diketahui2
Adinda Myra Amalia PutriAfiliasi tidak diketahui2
elda azizah putriAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/kemas/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<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>