Pengaruh Penggunaan Aplikasi Madzas (Pendeteksi Bahasa Bayi) Terhadap Ketepatan Pemberian Penanganan pada Bayi Bagi Ibu Primipara di Wilayah Desa Binaan PKM Bangetayu Semarang

Dunstan Baby Language (DBL) identifies five distinct infant vocalizations (“neh”, “owh”, “eh”, “eairh”, “heh”), each associated with a specific need. An Android application, Madzas, translates these vocalizations, aiding caregiver understanding. This study, conducted within a Community Service (PKM) program focused on village community development, investigated the impact of Madzas on the accuracy of care provided to infants by first-time mothers in the Bangetayu Public Health Centre Service Area. This true experimental study, employing a case-control approach, was conducted in the Bangetayu Public Health Centre Service Area, Semarang city. The study population consisted of primiparous mothers with infants aged 1-3 months, with a sample size of 46 mothers selected using purposive sampling. The participants were divided into case and control groups. The data were analysed using the Mann-Whitney U test, revealing a statistically significant effect (p < 0.05) of using the Madsaz application on the accuracy of care provided by the mothers. The findings indicated a high accuracy rate (z = 2.094) in treatment decisions among the mothers who used the application, supporting the hypothesis that the application positively influences caregiving accuracy in the studied population.