Lailatul Khusnul Rizki
@unusa.ac.id
D3 Kebidanan
Universitas Nahdlatul Ulama Surabaya
RESEARCH INTERESTS
Medical, Maternal and Child Health
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Ika Mardiyanti, Annif Munjidah, Nanik Handayani, Siska Nurul Abidah, Hinda Novianti, Uliyatul Laili, and Lailatul Khusnul Rizki
DiscoverSys, Inc.
Introduction: The ability of pregnant women to detect early-risk pregnancies is still low, which is one of the causes of complications that can endanger the welfare of the mother and fetus. This research analyzed the effectiveness of the Self Care Model in Midwifery Care through an Android Application on the Ability of Pregnant Women to Early Detection of Risky Pregnancy During the Covid-19 pandemic. Methods: The data of this study of pregnant women who conducted examinations at PMB Ika Mardiyanti in Maret-May 2021 involved a sample of 100 obtained by simple random sampling. This study uses an analytic design with a cross-sectional design. Data analysis using the Wilcoxon Signed Rank Test. Results: The results show that Asym. Sig. (2-tailed) obtained < (0.0001 < 0.05), this means that the Self Care Model in Midwifery Care through the Android Application is effective for increasing the ability of pregnant women in early detect risky pregnancies during the COVID-19 pandemic. Conclusion: The research conducted to analyze the self-care model in midwifery care through the android application contributes to increasing the efforts of pregnant women to care for their care during pregnancy to prevent the dangers of pregnancy.
Weike Retno Palupi and Lailatul Khusnul Rizki
Universitas Airlangga
Infant Mortality Rate (IMR) is one of the important indicators in public health. Indonesia still has a relatively high IMR compared to the neighboring countries. Based on the Indonesian Demographic Health Survey (IDHS) in 2012, IMR in East Java reached 25.50 deaths per 1000 births. IMR decline occurred during 2012 to 2015. Achievement depends on the factors that influence it. This study aims to create a model of IMR based on maternal and external factors in East Java. The method used was a non-reactive study using 38 districts/cities as sample units in East Java, which came from Central Bureau of Statistics secondary data in 2015. Statistical analysis used multiple linear regression. The results showed the independent variables together affected the IMR (p-value = 0,000 <0.05), but partially influenced by the age of the first married mother (p-value = 0,000 <0.05) and the helper delivery of non-medical personnel (p-value = 0.014 <0.05). The conclusion of this study is the regression equation model for IMR in East Java in 2015, which is IMR = 1,064 + 1,319 * (age of first marriage) + 0.439 * (helper of non-medical births). Suggestions for the Government of East Java Province to implement strategies so that infant mortality cases can be reduced.