Respati Wulandari
Department of Public Health, Faculty of Health Science, Universitas Dian Nuswantoro, Semarang, Indonesia

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Factors Influencing the Acceptance of the Hallobumil Application in Semarang City Nabila Faradila Qutsin; Respati Wulandari
International Journal of Health Literacy and Science Vol. 4 No. 1 (2026): International Journal of Health Literacy and Science
Publisher : Health Science UDINUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/ihelis.v4i1.90

Abstract

The Maternal Mortality Rate (MMR) in Semarang City increased from 67.25 per 100,000 live births in 2022 to 68.5 per 100,000 live births in 2023. The HalloBumil application is designed to support maternal health through education and relevant information. This study aims to analyze the factors influencing the acceptance of the HalloBumil application in Semarang City. A quantitative research design with a cross-sectional approach was employed. The variables measured were based on the Technology Acceptance Model (TAM), including Self-Efficacy, Perceived Usefulness, Perceived Ease of Use, Attitude, and Behavioral Intention. Data were collected through face-to-face interviews using questionnaires with 390 pregnant women receiving antenatal care at 15 community health centers in Semarang City. The research locations were selected using stratified random sampling, Data were analyzed using Structural Equation Modeling - Partial Least Squares (SEM-PLS) with SmartPLS 4. The results showed that the majority of respondents were aged 35–50 (76.4%), had completed senior high school (57.0%), were housewives (58.5%), earned more than the regional minimum wage (63.65%), and received health information from healthcare workers (73.8%). Self-efficacy had a significant effect on perceived usefulness (β = 0.788; p < 0.001). Perceived usefulness significantly influenced behavioral intention to use the HalloBumil application (β = 0.318; p < 0.001). These findings indicate that self-efficacy and perceived usefulness are key factors influencing the acceptance of the HalloBumil application among pregnant women in Semarang City. Enhancing self-efficacy and perceived usefulness may increase the acceptance of mobile health applications such as HalloBumil, potentially leading to improved maternal health outcomes.
Analysis Of Determinants Of Digital Health Literacy Among Mothers Pregnancy: A Study In Semarang City Sella Monika; Respati Wulandari
International Journal of Health Literacy and Science Vol. 4 No. 1 (2026): International Journal of Health Literacy and Science
Publisher : Health Science UDINUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60074/ihelis.v4i1.98

Abstract

Pregnancy is a period that requires intensive health monitoring. Digital Health Literacy (DHL) is a key factor for pregnant women in searching for, understanding, and applying health information from electronic sources. In reality, not all women have the ability to understand DHL. This study aims to identify the factors associated with DHL among pregnant women in Semarang City. The study design was cross-sectional, with data collected using stratified random sampling from 15 public health centers (puskesmas) in Semarang City, involving 390 samples. The instrument used was the Digital Health Literacy for Citizens (DHLC) questionnaire, which was administered directly to the respondents. Independent variables included: age, education, income, occupation, antenatal care (ANC) visits, access to health information, and parity. The dependent variable was Digital Health Literacy. Data were analyzed using Kruskal-Wallis and Mann-Whitney tests. Results: The majority of pregnant women had an independent level of DHL (74.6%), were over 24 years old, had a moderate level of education (57.4%), were housewives (58.5%), accessed health information from health workers (74.1%), were multiparous (41.8%), and had ≥3 ANC visits. Education, income, occupation, access to health information, and parity were significantly associated with DHL (P = 0.000).