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Analisis Determinan Taksiran Berat Janin pada Ibu Hamil Putri Utami; Hilda Zulkifli; Hamzah Hasyim
Jurnal Ilmiah Kesehatan (JIKA) Vol. 3 No. 3 (2021): Volume 3 Nomor 3 Desember 2021
Publisher : Sarana Ilmu Indonesia (salnesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (248.65 KB) | DOI: 10.36590/jika.v3i3.207

Abstract

Low birth weight (LBW) are most likely a cause of increasing the number of infant mortality rate. The incidence of LBW related to many factors such as maternal health, fetal, and environmental factors. Early detection to see fetal growth during pregnancy is to estimated fetal weight. The purpose of this research was to find out the correlation of maternal age, maternal education, maternal occupation, history of parity and nutritional status with estimated fetal weight. The type of research used was analytical observational study with cross sectional approach and collected using questionnaire with total samples of 72 pregnant women. The result of this research showed that there was correlation of maternal age (p=0,04), maternal education (p=0,012), history of parity (p=0,003), nutritional status (p=0,012) with estimated fetal weight. There was no correlation of maternal occupation (p=0,327) with estimated fetal weight. The concludes of this research was pregnant women with non-risky age, higher education, parity 2-3 times and good nutritional status tended to have the weight of the fetus conceived according to gestational age, while maternal occupation would not necessarily affected the estimated fetal weight.
The Effect of Climate Conditions on COVID-19: A Modelling Study in The Indonesian Epicenter Yoerdy Agusmal Saputra; Disa Hijratul Muharramah; Ayu Novitrie; Ladyka Viola Armawan; Maurend Yayank Lewinsca; Putri Utami
Jurnal Ners Vol. 9 No. 3 (2025): JULI 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v9i3.43086

Abstract

Over 200 countries have experienced a further increase in COVID-19 cases and this has been considered to be influenced by climatic conditions. The most vulnerable countries to this increase are those with low vaccination rates. This study aims to determine the influence of climate on COVID-19 cases in Indonesia. Furthermore, an ecological study design based on time conducted in Jakarta was used to obtain secondary data from March to September 2020. These data include maximum, minimum and average temperature, humidity, precipitation, maximum, and average wind speed, and solar radiation. The multiple linear regression test results showed that high humidity significantly affects the decrease in COVID-19 cases and 66.5% of the variations can be explained by this factor. For every 1% increase in humidity, there will be a decrease of 4 cases per week. However, the high humidity environment was reported to have the ability to suppress cases since transmission is still possible. Therefore, SARS-CoV-2 can still survive in humid conditions but in a relatively short time. Kata Kunci: Climate, COVID-19, epicenter, humidity.