Pengaruh Penggunaan Aplikasi Madzas (Pendeteksi Bahasa Bayi) Terhadap Ketepatan Pemberian Penanganan pada Bayi Bagi Ibu Primipara di Wilayah Desa Binaan PKM Bangetayu Semarang
DOI:
https://doi.org/10.62027/vitamedica.v3i2.348Keywords:
Baby Crying, Dustan Baby Language, Madzas App, Primiparous MotherAbstract
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.
References
Dan, & Perkembangan Bayi. (2014). Pertumbuhan dan perkembangan bayi dan balita.
Dewi, I. A., Novita, D., Putra, D. W., & Yuliana, E. (2018). Identifikasi suara tangisan bayi menggunakan metode LPC dan Euclidean distance. Elkomika: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika, 6(1), 153. https://doi.org/10.26760/elkomika.v6i1.153
Dewi, M. R. (2016). Software penerjemah tangis bayi versi Dunstan Baby Language berbasis Android. Aplikasi, (November), 5.
Dewi, M. R., Yuniarti, R. A., & Nugroho, E. B. (2013). Infant cries identification by using codebook as feature matching, and MFCC as feature extraction. Journal of Theoretical and Applied Information Technology, 56(3), 437–442.
Di, Persalinan, & Tim Penulis. (2017). Nursing News, 2(2).
Hermaningsih, H. S. (2014). [Judul artikel tidak tersedia]. [Nama jurnal tidak tersedia], 2(2), 17–24.
Nurliawati, E. (2016). Gambaran pengetahuan tentang perawatan bayi baru lahir pada ibu primipara.
Pb, Akreditasi, & Tim Penulis. (2019). Manajemen menangis pada bayi, 8–13.
Pineda, A. M. B., Santos, A. R. P., & Fernandez, M. E. (2016). The efficacy of Dunstan Baby Language in decreasing the parenting stress levels of housewives with 0–2 month old infants: A quasi-experimental study, 1, 1–6.
Renanti, M. D., Nugroho, E. B., & Wibowo, H. A. (2023). Noise-robust in the baby cry translator using recurrent neural network modeling. Journal of Theoretical and Applied Information Technology, 101(2), 815–826.
Sikap, H., & Tim Penulis. (n.d.). Hubungan sikap ibu tentang perkembangan motorik halus anak dengan perkembangan motorik halus anak usia 1–5 tahun.
Tilong, A. D. (2018). Pintar memahami bahasa si kecil. Laksana.
Toselli, M., Smith, J. A., & Nguyen, L. (n.d.). Maternal responses to infant crying: Cultural differences, 57–76.
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