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All Journal Berita Kedokteran Masyarakat Jurnal Kefarmasian Indonesia JI-KES (Jurnal Ilmu Kesehatan)
Herti Maryani
Pusat Humaniora, Kebijakan Kesehatan dan Pemberdayaan Masyarakat Badan Litbangkes Kemenkes RI, Jl. Indrapura 17 Surabaya
Chemistry Health Professions Medicine & Pharmacology Nursing Public Health

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Eksplorasi Tumbuhan Obat Indonesia untuk Kebugaran: Analisis Data Riset Tumbuhan Obat dan Jamu Tahun 2012, 2015, dan 2017 Kristiana, Lusi; Paramita, Astridya; Maryani, Herti; Andarwati, Pramita
Jurnal Kefarmasian Indonesia VOLUME 12, NOMOR 1, FEBRUARI 2022
Publisher : Pusat Penelitian dan Pengembangan Biomedis dan Teknologi Dasar Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/jki.v0i0.5209

Abstract

Compounding plants into health ingredients is a promotive-preventive-based health culture, which was identified in the Research on Medicinal Plants and Herbs (Ristoja). The regeneration of traditional healers who mastered herbal formulation is not going well, documentation must be carried out for better knowledge transfer process. This study documented the traditional use of plants to preserve health and fatigue, using data from Ristoja 2012, 2015 and 2017, obtained from the National Institute of Health Research and Development (Indonesian Ministry of Health), data were analyzed descriptively. The data inventory includes grouping of species-family, plant parts, method, frequency, and duration of use, cultivation/non-cultivation, origin, and method of obtaining plants. The results show that the ingredients to preserve health and relieve fatigue have a large diversification, namely 33 families and 60 species. The most widely used are from families Zingiberaceae and Myrtaceae; species Z. officinale, C. domestica, C. xanthorrhiza, P. guajava, S. aromaticum, and S. Polyantum; parts of plant leaves (71,7%) and roots (38,3%;, originally from yards, forests, and fields/gardens; mostly consumed once/day (76,7%). Plants that have been used as ingredients to preserve health and relieve fatigue have several mechanism of action, such as antioxidant, anti-inflammatory, analgesic, glycemic control, blood pressure control, and others.
Maternal employment status and early initiation of breastfeeding in Indonesian urban areas Lestari, Weny; Izza, Nailul; Kristiana, Lusi; Maryani, Herti; Andarwati, Pramita; Paramita, Astridya; Laksono, Agung Dwi
BKM Public Health and Community Medicine Vol 41 No 03 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v41i03.16016

Abstract

Purpose: The first human milk produced contains highly nutritious colostrum and antibodies that could protect newborns against disease. The study analysed the role of maternal employment status in achieving early initiation of breastfeeding in urban Indonesia. Methods: This cross-sectional study employed secondary data from the 2017 Indonesia Demographic and Health Survey. The study analyzed 36,163 women with children under 24 months old. The study used early initiation of breastfeeding as the outcome variable and maternal employment status as the exposure variable. Furthermore, the research employed ten control variables: maternal current marital status, age, education, parity, wealth, antenatal care, place of delivery, mode of delivery, type of birth, and child sex. The authors employed a binary logistic regression in the final test. Results: The study showed that unemployed mothers were 1.587 times more likely to experience early initiation of breastfeeding than employed mothers in urban Indonesia (AOR 1.587; 95% CI 1.509-1.669). The result indicated that maternal unemployment was a protective factor for the early initiation of breastfeeding in urban Indonesia. Moreover, the results also found that eight control variables were significantly correlated with the early initiation of breastfeeding: current maternal marital status, maternal age, maternal education level, parity, wealth status, antenatal care, place of delivery, and mode of delivery. Conclusion: The study found that maternal employment status correlates with the early initiation of breastfeeding in urban Indonesia. Maternal unemployment status was more likely to experience early initiation of breastfeeding than employed mothers.
Pemodelan Spasial Kasus Kematian Akibat Covid-19 di Provinsi Jawa Timur Tahun 2020 Maryani, Herti; Kristiana, Lusi; Guminta, Dinda Galuh
JI-KES (Jurnal Ilmu Kesehatan) Vol. 6 No. 1 (2022): JI-KES (Jurnal Ilmu Kesehatan)
Publisher : LPPM Universitas Hafshawaty Zainul Hasan Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33006/ji-kes.v6i1.412

Abstract

AbstrakProvinsi Jawa Timur merupakan provinsi yang mempunyai jumlah kasus kematian yang tinggi dibanding dengan provinsi lain di Indonesia. Tujuan penelitian adalah melakukan pemodelan kematian akibat Covid-19 di Provinsi Jawa Timur pada tahun 2020, menggunakan analisis Geographically Weighted Regression (GWR). Analisis GWR merupakan pengembangan dari regresi linier dengan parameter model yang berbeda di setiap pengamatan (wilayah).  Data yang dianalisis adalah data sekunder dari Dinas Kesehatan Provinsi Jawa Timur dan Badan Pusat Statistik (BPS) Provinsi Jawa Timur. Jumlah kematian akibat covid-19 di Jawa Timur mencapai 84.152 jiwa sampai dengan bulan Desember 2020. Hasil analisis menunjukkan bahwa faktor yang mempengaruhi kematian akibat Covid-19 di sebagian besar wilayah Provinsi Jawa Timur adalah jumlah dokter umum di Rumah Sakit dan jumlah pelayanan kesehatan penyakit Diabetes Melitus, sedangkan variable lainnya yang berpengaruh signifikan adalah pelayanan kesehatan penderita Hipertensi dan  jumlah Rumah Sakit Umum. Analisis GWR menghasilkan  pemodelan jumlah  kematian akibat Covid-19 di Jawa Timur  dengan koefisien determinasi yang lebih tinggi dibanding pemodelan secara global. Pemodelan secara geografis menghasilkan 5 kelompok kabupaten/kota, dengan variabel jumlah dokter umum di Rumah Sakit dan pelayanan kesehatan Diabetes Melitus yang cukup berpengaruh di sebagian besar kabupaten/kota di Jawa Timur.Kata kunci: Covid-19, Jawa Timur, Geographically Weighted RegressionAbstractEast Java Province was a province that had a high number of deaths compared to other provinces in Indonesia. Using Geographically Weighted Regression (GWR) analysis, the study's goal was to predict the number of deaths caused by COVID-19 in the East Java Province in 2020. With various model parameters in each observation, GWR analysis was a progression of linear regression (region). Secondary data from the East Java Province's Statistics Agency and Health Agency were used in the analysis. As of December 2020, 84.152 individuals had perished in East Java as a result of COVID-19. The analysis's findings indicate that the number of public hospitals and the availability of healthcare for people with diabetes mellitus were the two health factors that had the greatest impact on Covid-19 deaths in the majority of East Java Province. Other factors that had a significant impact included the number of public hospitals and the availability of healthcare for people with hypertension.The analysis of the GWR model on the number of deaths due to Covid-19 in East Java resulted in a higher coefficient of determination than linear regression modeling. Geographical modeling resulted in 5 groups of districts/cities, with the variable number of general doctors in hospitals and diabetes mellitus health services being quite influential in most districts/cities in East Java.Keyword: Covid-19, East Java Provinces, Geographically Weighted Regression
Co-Authors Agung Dwi Laksono Astridya Paramita Guminta, Dinda Galuh Lusi Kristiana Nailul Izza Pramita Andarwati Weny Lestari