Pengaruh Jumlah Pelayanan Kesehatan dan Jumlah Balita Kurus terhadap Kejadian Stunting pada Balita di Jawa Timur 2020

Joko Ade Nursiyono, Marfuah Apriyani — Tue, 04 Jul 2023 14:46:18 SE Asia Daylight Time

Stunting is one of the growth and development disorders of children due to the combined effects

of poor nutrition, repeated infection and inadequate psychosocial stimulation. Stunting has long

termed effect on child’s live so it grabs a lot of attention. Stunting rate in Indonesia is still quite

high, especially in East Java Province. This study aims to find out the influence of the number of

childrens’s health services and number of wasting children under 5 years of age towards

stunting children under 5 years in East Java 2020. The study use a multiple linear regression

models and the parameter estimation method is Ordinary Least Square (OLS). Partial and

simultaneous test results showed that the number of children’s health services and number of

wasting children under 5 years had a significant effect on stunting children under 5 years. The

Adjusted R Square value of the model is 0,7385. That is, the proportion of diversity in the

number of stunting in children can be explained by the variable the number of children’s health

services and number of wasting children under 5 years by 73,85 %, but the rest is explained by

other variables not included in the model.

Potensi Sosiodemografi dalam Penyebaran Kasus Infeksi Dengue di Indonesia Tahun 2017

Nungki Hapsari Suryaningtyas, Indah Margarethy — Tue, 04 Jul 2023 15:06:50 SE Asia Daylight Time

The development of dengue infection in Indonesia fluctuates every year with an increasingly widespread distribution area. High human mobility for work, school, shopping and general needs play an important role in the spread of dengue infection between regions. This study aims to determine the sociodemographic factors that influence dengue infection cases which are influenced by regional characteristics in Indonesia. The study is an analysis of secondary data sourced from the 2017 Indonesia Health Profile data and the 2017 Population and Labor Mobility Statistics. Data were analyzed spatially using GeoDa and ArcGis software. The results of the regression model with the ordinary least squares (OLS) model obtained the equation Y = 316.107 – 0.00385857 (X1) + 0.266903 (X2) + 0.00029953 (X3) with an R2 value of 64.2 percent. These results indicate that the model can explain the number of dengue infection cases affected by non-permanent mobility, population density and population of 64.2 percent.

SPIRAKEL

Pengaruh Jumlah Pelayanan Kesehatan dan Jumlah Balita Kurus terhadap Kejadian Stunting pada Balita di Jawa Timur 2020

Potensi Sosiodemografi dalam Penyebaran Kasus Infeksi Dengue di Indonesia Tahun 2017