INTRODUCTION: Health programs in Indonesia are expanding annually, thereby augmenting the workload of midwive's. Consequently, mobile health (mHealth) solutions, such as the iPosyandu application, are essential to assist midwive's in delivering maternal and child health services and enhancing their competence for early detection in pregnant women. PURPOSE: This study seeks to examine the evaluation of the iPosyandu application on midwive's proficiency in early pregnancy identification. PATIENTS AND METHODS: The research employed a convergent mixed-method approach, incorporating quantitative analysis involving 120 village midwives in Purwakarta Regency, divided into intervention (n = 60) and control (n = 60) groups. Questionnaires on early pregnancy detection were administered, and the data were analyzed using STATA software version 16.0, while the results of the mHealth App Usability Questionnaire (MAUQ) were processed with Winstep. Qualitative research employed interview protocols for in-depth interviews (n = 8), and the results were analyzed using NVivo software version 1.6.1. RESULTS: The quantitative research findings indicated that the utilization of the iPosyandu application significantly impacted midwive's competence in the early detection of pregnancy care (p-value <0.05). The usability of the iPosyandu program among midwive's is considered satisfactory, with average scores of 48.65 for ease of use and satisfaction, 36.02 for information system settings, and 41.78 for utility. Qualitative research results indicate that the iPosyandu application is user-friendly for midwive's, hence enhancing their competency in early pregnancy identification. CONCLUSION: This study finds that the iPosyandu application for midwives demonstrates a high usage level, hence enhancing midwive's inclination to utilize the application to augment their competence and deliver optimal midwifery care.