Validation of Mobile Application Usability Questionnaire for Evaluation of Usability of the Mommy-Be Application in Indonesia | ||
| Health Education and Health Promotion | ||
| Article 3, Volume 14, Issue 1, Winter 2026, Pages 19-27 PDF (875.27 K) | ||
| Document Type: Descriptive & Survey | ||
| DOI: 10.58209/hehp.14.1.19 | ||
| Authors | ||
| A. Syam* 1; F. Fadli1; A. Syam2; A.R. Amelia3; A. Toaha4 | ||
| 1Department of Public Health, Faculty of Health, Mega Buana University, Palopo, Indonesia | ||
| 2Department of Management, Faculty of Business, Ciputra University, Makassar, Indonesia | ||
| 3Department of Public Health, Faculty of Public Health, Universitas Muslim Indonesia, Makassar, Indonesia | ||
| 4Health Polytechnic of the Ministry of Health, Balikpapan, Kalimantan Timur, Indonesia | ||
| Abstract | ||
| Aims: Mobile health (mHealth) applications have emerged as an effective approach to supporting maternal breastfeeding health. However, adopting these applications often faces challenges in terms of usability and user satisfaction. This study aimed to adapt and validate the Malay-language version of the Mobile Application Usability Questionnaire (MAUQ) for the Mommy-Be application in Indonesia. Instrument & Methods: This research uses a descriptive, quantitative design with a Confirmatory Factor Analysis (CFA) to test the instrument's validity. A total of 386 breastfeeding mothers in Makassar City, South Sulawesi, participated in a two-week trial of the application, who were invited via social media applications at each primary health service. Findings: A CFI value of 0.548 and a TLI of 0.477 indicated a less-than-ideal model fit. After removing items with high Modification Indices (MIs), the second model showed a significant improvement, with a CFI of 0.972, a TLI of 0.966, and an RMSEA of 0.062. Conclusion: These results highlight the importance of adapting instruments to the local context and technical conditions of the application. The results of this study are expected to support the development of health applications better aligned with local users' needs. | ||
| Keywords | ||
| mHealth; Mobile Application; Factor Analysis; Breastfeeding | ||
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