AI-Driven Mobile Health Adoption: User Engagement with Flo App and Reproductive Health Behavior among Female University Students in Indonesia

This dataset presents anonymized questionnaire responses collected for the research entitled “AI-Driven Mobile Health Adoption: User Engagement with Flo App and Reproductive Health Behavior among Female University Students in Indonesia.” The research explores how health awareness contributes to reproductive health behavior, while examining the mediating influence of perceived benefits and the moderating effect of Flo app usage. The dataset comprises 165 completed responses from female university students in Indonesia who actively used the Flo application. Data were gathered through a structured online survey employing a five-point Likert scale and were subsequently analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). To safeguard participant confidentiality, all identifying details were excluded from the dataset. The data are shared to promote openness in research, facilitate the verification of findings, and support further studies in the fields of digital health, mHealth applications, and reproductive health management.