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All Journal Journal of Maternal and Child Health Jurnal Sains, Teknologi dan Komputer
Jamaluddin, Sri Rezki Wahdania
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Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Medicine & Pharmacology Public Health

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Relationships between Duration of Breastfeeding, Child Nutritional Status, and Development Jamaluddin, Sri Rezki Wahdania; Faradilah, Andi; Fitriani, Rini
Journal of Maternal and Child Health Vol. 6 No. 3 (2021)
Publisher : Masters Program in Public Health, Universitas Sebelas Maret, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (33.795 KB) | DOI: 10.26911/thejmch.2021.06.03.05

Abstract

Background: Breast milk is one of the factors that can affect growth and development. WHO is promoted exclusive breastfeeding and also encourages mother to raise breastfeeding until the children reach 2 year of age. This study was aimed to examine the relationships between the duration of breastfeeding, child nutritional status and development. Subjects and Method: This was an analytic obser­vational study with a cross sectional design. The study was con­duc­ted in three health centers, in Makassar, South Sulawesi, Indonesia, from December 2019 to January 2020. A total of 200 mot­hers with children aged 1-3 years old were selected by purposive sampling. The depen­dent variables were child nutritional status and child development. The independent variable was duration of breast­feeding. Child development was measured using developmental pre-screening question­naire. The other variables were collected by questionnaire. The relationships between vari­ables were analyzed by Pearson correlation. Results: Duration of breastfeeding was not associated with child nutritional status (r= -0.01; p= 0.970). Duration of breastfeeding increased child development, but it was statis­tically not significant (r= 0.04; p= 0.550). Conclusion: Duration of breastfeeding is not associated with child nutritional status. It increases child development, but it is statis­ti­cally not significant.
Pemodelan Data Angka Kematian Bayi Menggunakan Regresi Robust Ahmad Husain; Jamaluddin, Sri Rezki Wahdania
Jurnal Sains, Teknologi & Komputer Vol. 1 No. 1 (2024): Jurnal Sains, Teknologi & Komputer (SAINTEK)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/saintek.v1i1.326

Abstract

The ordinary least square method (MKT) is a classic method to estimate parameters in regression modelling. The MKT has classical assumption, where these assumptions must be fulfilled. One of the causes of violation of classical assumptions is the presence of outlier observations. Robust regression is an alternative for correcting parameters in data that indicate outliers. In this article, we apply robust regression using estimation-M in data modelling of infant mortality rates that occur in West Java. Based on the mean squared error (MSE) criterion in the estimation-M, it is obtained that the Huber approach has a lower MSE than Tukey Bisquare. The results of estimation using Huber show that only the low number of births has a significant effect on infant mortality in West Java, with an effect of 2.047.
Co-Authors AHMAD HUSAIN Faradilah, Andi Rini Fitriani