Vol. 11 No. 10 (2025): October
Open Access
Peer Reviewed

Architectural Design of a Digital Maternal Health Monitoring System Based on the 2024 MCH Handbook: Documentation, Early Detection, and Pregnancy Danger Alarm Facilities

Authors

Nelli Roza , Muhammad Ropianto , Nurfitri

DOI:

10.29303/jppipa.v11i10.13260

Published:

2025-10-25

Downloads

Abstract

Digital transformation in healthcare is a crucial strategy for improving the quality of maternal care in Indonesia, particularly in efforts to reduce the Maternal Mortality Rate (MMR). This study aims to design a digital system architecture for the 2024 MCH Handbook as a means of documentation, early detection, and alarm for pregnancy danger signs that is adaptive to island regions. The research method uses a descriptive qualitative approach with the Framework TOGAF (The Open Group Architecture Framework) as the basis for system design. Data were collected through digital literacy and accessibility questionnaires for pregnant women, in-depth interviews with health workers, as well as Focus Group Discussion (FGD) activities and expert validation from the fields of midwifery, public health, and information technology. The results showed that the digital literacy level of pregnant women was quite good in the information awareness dimension (52.38%), but still low in the information evaluation and application dimension. System accessibility was assessed as high (>50%) in terms of device availability and compatibility. Stakeholders expressed a strong need for a digital MCH Handbook system with danger alarm features, visit reminders, and a simple interface. The expert validation results obtained an average Aiken's V value of 0.88 (valid category), indicating that the system design is clinically, technically, and policy-wise feasible. The developed digital system architecture for the 2024 MCH Handbook is able to address field needs, support local innovations such as SMART ULING , and align with the national agenda for Digital Health Transformation . This system has the potential to be an effective solution to accelerate early detection of pregnancy risks, strengthen the integration of maternal services, and support efforts to reduce maternal mortality in island regions.

Keywords:

Digital MCH Handbook Early Pregnancy Detection Health System Architecture

References

Aisyah, D. N., Setiawan, A. H., Lokopessy, A. F., Faradiba, N., Setiaji, S., Manikam, L., & Kozlakidis, Z. (2023). ICT Maturity Assessment at Primary Healthcare Services Across 9 Provinces in Indonesia: An Evaluation Study. Jmir Medical Informatics. Retrieved from https://s3.ca-central-1.amazonaws.com/assets.jmir.org/assets/preprints/preprint-55959-accepted.pdf

Aisyah, D. N., Setiawan, A. H., Lokopessy, A. F., Faradiba, N., Setiaji, S., Manikam, L., & Kozlakidis, Z. (2024). The information and communication technology maturity assessment at primary health care services across 9 provinces in Indonesia: evaluation study. JMIR Medical Informatics, 12, e55959. Retrieved from https://medinform.jmir.org/2024/1/e55959

Alwi, M. N., Hindarto, D., Marina, A., & Yudhakusuma, D. (2023). Efficiency and effectiveness: enterprise architecture strategies for healthcare service. International Journal Software Engineering and Computer Science (IJSECS), 3(3), 386–397. https://doi.org/10.35870/ijsecs.v3i3.1813.

Amalia, R., Sulistiyani, E., Vinarti, R. A., Noveyani, A. E., Salim, L. A., & Indriani, D. (2025). Maternal and Child Health Using the Digitalization of the MCH Handbook Paciran Primary Health Care. Journal Of Nursing Practice, 8(2), 462–465. https://doi.org/10.30994/jnp.v8i2.488

Arias López, M. del P., Ong, B. A., Borrat Frigola, X., Fernández, A. L., Hicklent, R. S., Obeles, A. J. T., Rocimo, A. M., & Celi, L. A. (2023). Digital literacy as a new determinant of health: a scoping review. PLOS Digital Health, 2(10), e0000279. https://doi.org/10.1371/journal.pdig.0000279

Balogun, O. O., Aoki, A., Tomo, C. K., Mochida, K., Fukushima, S., Mikami, M., Sadamori, T., Kuramata, M., Freitas, H. R., Sapalalo, P., & others. (2023). Effectiveness of the maternal and child health handbook for improving continuum of care and other maternal and child health indicators: a cluster randomized controlled trial in Angola. Journal of Global Health, 13, 4022. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC9894505/

Carandang, R. R., Sakamoto, J. L., Kunieda, M. K., Shibanuma, A., Yarotskaya, E., Basargina, M., & Jimba, M. (2021). Roles of the maternal and child health handbook and other home-based records on newborn and child health: a systematic review. International Journal of Environmental Research and Public Health, 18(14), 7463. https://doi.org/10.3390/ijerph18147463

Carandang, R. R., Sakamoto, J. L., Kunieda, M. K., Shibanuma, A., Yarotskaya, E., Basargina, M., & Jimba, M. (2022). Effects of the maternal and child health handbook and other home-based records on mothers’ non-health outcomes: a systematic review. BMJ Open, 12(6), e058155. https://doi.org/10.1136/bmjopen-2021-058155

Coleman, T. (2023). Co-designing community-based digital innovations for Maternal and Child Health (MCH) [Thesis: University of Cape Town ,Faculty of Science ,Department of Computer Science]. Retrieved from http://hdl.handle.net/11427/41500

de los Reyes, C. S., Yang, J. E. U., & Bebida, V. B. (2024). Proceedings of the “Safe Beginnings: 1st Regional Conference on Maternal and Child Health (MCH) in CaLaBaRZon in partnership with 14th International Conference on the MCH Handbook.” Hypertension Research in Pregnancy, 12(4), 73–83. https://doi.org/10.14390/jsshp.HRP2024-011

Hasanbasri, M., & Sanjaya, G. Y. (2023). Evaluasi Pencatatan dan Pelaporan Sistem Informasi Kesehatan Ibu dan Anak (KIA) Berdasarkan Kematangan Digital Di Dinas Kesehatan. Journal of Information Systems for Public Health, 8(3), 18–31. https://doi.org/10.22146/jisph.83868

Lazuardi, L., Sanjaya, G. Y., Ali, P. B., Siahaan, R. G. M., Achmad, L., & Wulandari, H. (2021). Interoperability of health digitalization: case study on use of information technology for maternal and child health services in Indonesia. Business Information Systems, 317–327. Retrieved from https://www.tib-op.org/ojs/index.php/bis/article/view/53

Lin, T. T. C., & Bautista, J. R. (2017). Understanding the relationships between mHealth apps’ characteristics, trialability, and mHealth literacy. Journal of Health Communication, 22(4), 346–354. https://doi.org/10.1080/10810730.2017.1296508

Liu, J., Jing, W., & Liu, M. (2022). Risk management of pregnant women and the associated low maternal mortality from 2008--2017 in China: a national longitude study. BMC Health Services Research, 22(1), 335. https://doi.org/10.1186/s12913-022-07721-z

Liu, Q., Liu, Z., Wang, Y., Zhong, R., & Zhang, Y. (2021). How Does The Open Group Architecture Framework (TOGAF®) Realise Queensland’s Digital Health Transformation. Retrieved from https://eapj.org/wp-content/uploads/2021/06/How-Does-TOGAF-Realise-Queenslands-Digital-Health-Transformation.pdf

Nigussie, Z. Y., Zemicheal, N. F., Tiruneh, G. T., Bayou, Y. T., Teklu, G. A., Kibret, E. S., Eifler, K., Hodsdon, S. E., Altaye, D. E., Rosenblum, L., & others. (2021). Using mHealth to improve timeliness and quality of maternal and newborn health in the primary health care system in Ethiopia. Global Health: Science and Practice, 9(3), 668–681. https://doi.org/10.9745/GHSP-D-20-00685

Ningrum, E. W., Lusmilasari, L., Huriyati, E., Marthias, T., & Hasanbasri, M. (2024). Improving maternal health literacy among low-income pregnant women: A systematic review. Narra J, 4(2), e886. https://doi.org/10.52225/narra.v4i2.886

Pangestuti, R., Ratrikaningtyas, P. D., & Sutomo, A. H. (2025). Monitoring of Pregnant Women Using the “Risk Identification, Evaluation Counseling, Systematic Monitoring, Troubleshooting”(REST) Mobile App: Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols, 14(1), e66774. Retrieved from https://www.researchprotocols.org/2025/1/e66774

Putri, A. P., Hanifah, L., AM, A. I., & Lu, Y. Y. (2023). Maternal health literacy among pregnant women in Indonesia: a qualitative study. International Journal of Nursing and Health Services (IJNHS), 6(6), 354–364. https://doi.org/10.35654/ijnhs.v6i6.763

Rotheram-Borus, M. J., Tomlinson, M., Swendeman, D., Lee, A., & Jones, E. (2012). Standardized functions for smartphone applications: examples from maternal and child health. International Journal of Telemedicine and Applications, 2012(1), 973237. https://doi.org/10.1155/2012/973237

van der Windt, M., van Zundert, S. K. M., Schoenmakers, S., van Rossem, L., & Steegers-Theunissen, R. P. M. (2023). Prototyping of a digital life course care platform for preconception and pregnancy care: pilot feasibility and acceptability study. Journal of Medical Internet Research, 25, e37537. https://doi.org/10.2196/37537

van Horn, D. (2025). The Future of Somali Healthcare IT Configuring DHIS2 and RAAD for Scalable and Interoperable Healthcare IT: A Model for Future Systems. Retrieved from https://www.diva-portal.org/smash/record.jsf?pid=diva2:2010338

Veftisia, V., Khayati, Y. N., & Afriyani, L. D. (2024). Peningkatan Pengetahuan Ibu Tentang Tanda Bahaya Kehamilan Menggunakan Pesan Seluler Interaktif: Increasing Mothers’ Knowledge About Danger Signs of Pregnancy Using Interactive Mobile Messaging. Indonesian Journal of Midwifery (IJM), 7(1), 86–91. https://doi.org/10.35473/ijm.v7i1.2527

WHO, W. H. O., & Union, I. T. (2020). Digital health platform handbook: building a digital information infrastructure (infostructure) for health. World Health Organization. Retrieved from https://www.who.int/publications/i/item/9789240013728

Wignarajah, S., Bhuiyan, S. U., & Gugathasan, A. (2021). The Maternal and Child Health (MCH) handbook and its influence on health behaviors: a literature review. European Journal of Environment and Public Health, 6(1), em0092. https://doi.org/10.21601/ejeph/11357

Xu, J., Chen, Y., Zhao, J., Wang, J., Chen, J., Pan, X., Zhang, W., Zheng, J., Zou, Z., Chen, X., & others. (2024). Current status of electronic health literacy among pregnant women with gestational diabetes mellitus and their perceptions of online health information: a mixed-methods study. BMC Pregnancy and Childbirth, 24(1), 392. https://doi.org/10.1186/s12884-024-06594-w

Author Biographies

Nelli Roza, Program Study of Diploma III in Midwifery, Harapan Bunda Health Institute, Batam, Indonesia.

Author Origin : Indonesia

Muhammad Ropianto, Ibnu Sina University

Author Origin : Indonesia

Nurfitri, Harapan Bunda Health Institute

Author Origin : Indonesia

Downloads

Download data is not yet available.

How to Cite

Roza, N., Ropianto, M., & Nurfitri. (2025). Architectural Design of a Digital Maternal Health Monitoring System Based on the 2024 MCH Handbook: Documentation, Early Detection, and Pregnancy Danger Alarm Facilities. Jurnal Penelitian Pendidikan IPA, 11(10), 1030–1035. https://doi.org/10.29303/jppipa.v11i10.13260