Volume 8 | Issue - 8
Volume 8 | Issue - 8
Volume 8 | Issue - 7
Volume 8 | Issue - 7
Volume 8 | Issue - 6
The purpose of this study is to compare the effectiveness of Android applications and KIA books in early detection of pregnancy risk factors from the user’s perspective. This study utilized a quantitative quasi experimental post-test-only control group design, involving two groups of respondents (pregnant women and midwives) in different healthcare facilities. The control group at Sidomulyo Community Health Center used the KIA book, while the intervention group at Perempatan Tiga Community Health Center used the Android application. Data were collected using a Likert-scale questionnaire, and responses were analyzed using descriptive statistics and independent sample t-tests to compare the effectiveness of the two tools. The findings revealed that Android applications consistently outperformed the KIA book across all dimensions. The average scores for the Android application were significantly higher in ease of use (4.5 vs. 3.4), content completeness (4.3 vs. 3.2), practicality (4.0 vs. 3.1), effectiveness in raising awareness (4.6 vs. 3.6), and user satisfaction (4.2 vs. 3.3). Statistical analysis further supported these results, with t-values ranging from 3.5 to 4.8, indicating significant differences (p < 0.05) in favor of Android applications. In conclusion, the study demonstrates that Android applications are more effective than KIA books in detecting pregnancy risk factors. The applications provide greater accuracy, accessibility, and interactivity, enabling better monitoring and timely interventions. These advantages address the limitations of the KIA book, which relies heavily on manual data entry and interpretation. It is recommended that healthcare providers adopt Android applications as part of routine antenatal care services. Additionally, training programs should be implemented to familiarize midwives and healthcare staff with the application’s usage. Future research could explore the long-term impact of digital tools on maternal and fetal health outcomes in various healthcare settings.