scholarly journals PEMODELAN POISSON RIDGE REGRESSION (PRR) PADA BANYAK KEMATIAN BAYI DI JAWA TENGAH

2020 ◽  
Vol 4 (2) ◽  
pp. 392-400
Author(s):  
Wulandari Wulandari
Keyword(s):  
Infant Mortality ◽  
Ridge Regression ◽  
Poisson Regression ◽  
Health Sector ◽  
Predictor Variables ◽  
Poisson Regression Model ◽  
Infant Deaths ◽  
Central Java ◽  
The Government ◽  
Positive Effect

The decline of infant mortality is one of the targets of the Indonesian government in the health sector, including the Government of Central Java. To achieve this goal, it is necessary to identify factors that affect many infant mortalities in the district/city of Central Java. Infant mortalities are count data, so Poisson regression is commonly used. The data in the study showed the existence of multicollinearity in several predictor variables, so an appropriate model was needed. Poisson Ridge Regression (PRR) is a Poisson modeling that accommodates multicollinearity. In this study, the PRR model was used to model infant mortality in Central Java district/city. The results showed that the parameter estimation of the PRR model was slightly different than the estimated Poisson regression model. Modeling infant mortality with the PRR model, out of five predictor variables, three variables harmed many infant deaths, while the other two variables had a positive effect on many infant deaths.

scholarly journals Identifikasi Faktor-faktor yang Mempengaruhi Angka Kematian Bayi di Provinsi Jawa Barat melalui Model Berbasis Regional

2016 ◽  
Vol 32 (1) ◽  
pp. 194
Author(s):  
Nusar Hajarisman ◽  
Yayat Karyana
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Regression Model ◽  
Poisson Regression ◽  
Spatial Diversity ◽  
Infant Mortality Rate ◽  
Poisson Regression Model ◽  
West Java ◽  
Infant Deaths ◽  
Geographic Modeling

In geographic modeling, global models such as ordinary linear regression (OLR) model theoretically it provides quite reliable local information if there is not any spatial diversity by region. In other words, OLR model cannot describe the relations between variables in heterogeneous difference of each region. This study will consider a model that will be used to estimate or predict the infant mortality rate in the several regencies / cities in West Java Province. Because the response variable observed in this study is count data which is assumed Poisson distributed, geographically weighted Poisson regression model (GWPR) is used. A better model is used to analyze the data of infant deaths in each regency / city in West Java based on the AIC value, GWPR model has the smallest value (compared to Poisson regression model), in which there is an interesting and important difference from each regency/city about the factors that significantly influence the Infant Mortality rate in each region.

scholarly journals PERBANDINGAN MODEL REGRESI BINOMIAL NEGATIF BIVARIAT DENGAN MODEL GEOGRAPHICALLY WEIGHTED NEGATIVE BINOMIAL BIVARIAT REGRESSION (GWNBBR) PADA KASUS ANGKA KEMATIAN BAYI DAN KEMATIAN IBU DI JAWA TENGAH

2022 ◽  
Vol 10 (4) ◽  
pp. 488-498
Author(s):  
Yashmine Noor Islami ◽  
Dwi Ispriyanti ◽  
Puspita Kartikasari
Keyword(s):  
Infant Mortality ◽  
Maternal Mortality ◽  
Count Data ◽  
Poisson Regression ◽  
Negative Binomial ◽  
Poor People ◽  
Significant Variable ◽  
Central Java ◽  
Observation Area ◽  
Bivariate Regression

Infant mortality (0-11 months) and maternal mortality (during pregnancy, childbirth, and postpartum) are significant indicators in determining the level of public health. Central Java Province which has 35 regencies/cities is included in the top five regions with the highest number of infant and maternal mortality in Indonesia. The data characteristics of the number of infants and maternal mortality are count data. Therefore, the Poisson Regression method can be used to analyze the factors that influence the number of infants and maternal mortality. In Poisson regression analysis, there must be a fulfilled assumption, called equidispersion. Frequently, the variance of count data is greater than the mean, which is known as the overdispersion. The research, binomial negative bivariate regression is used as a solutions to overcome the problem of overdispersion in poisson regression. This method produce a global model. In reality, the geographical, socio-cultural, and economic conditions of each region will be different. This illustrates the effect of spatial heterogeneity, so it needs to be developed into Geographically Weighted Negative Binomial Bivariate Regression (GWNBBR). The model of GWNBBR provides weighting based on the position or distance from one observation area to another. Significant variables for modeling infant mortality cases included the percentage of obstetric complications treated (X1), the percentage of infants who were exclusively breastfed (X3), and the percentage of poor people (X5). Significant variable for modeling maternal mortality cases is the percentage of poor people (X5). Based on the AIC value, GWNBBR model is better than binomial negatif bivariat regression model because it has a smaller AIC value. 

scholarly journals IMPLEMENTASI KEBIJAKAN JAMINAN KESEHATAN DAERAH DI KABUPATEN PURBALINGGA PROVINSI JAWA TENGAH

2020 ◽  
Vol 24 (1) ◽  
pp. 463
Author(s):  
Hari Walujo Sedjati
Keyword(s):  
Public Health ◽  
Health Care ◽  
Health Service ◽  
Policy Implementation ◽  
Health Sector ◽  
The Public ◽  
Central Java ◽  
Health Goals ◽  
Efficiency And Effectiveness ◽  
The Government

The research aimed to know problems policy health on Purbalingga district; province Central Java. Health planners have been more effective largely because of a policy regionalizing responsibility for the public health pure delivery assurance systems. Several kinds of health service provider’s hospital recommended by government for pure society in Purbalingga district. The Government as certain the efficiency and effectiveness of health services in public actors, these goals and options which frame a actor government Purbalingga district, choice in the health sector, are complicated by agreement over the criteria that determinant which patients are getting too much for pure society to health care. The policy Implementation goals to minimize mortalities and Invalid body for pure society in Purbalingga and policy health goals and standards are reached.

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Jumlah Kematian Ibu dan Bayi di Provinsi Jawa Tengah Menggunakan Regresi Bivariat Poisson

2018 ◽  
Vol 4 (2) ◽  
pp. 110-115
Author(s):  
Mutiara Widhika Astuti ◽  
A’yunin Sofro
Keyword(s):  
Infant Mortality ◽  
Vitamin A ◽  
Pregnant Women ◽  
Mortality Rates ◽  
Final Model ◽  
Infant Deaths ◽  
Central Java ◽  
The Right ◽  
Postpartum Mothers ◽  
Significant Factors

Maternal and infant mortality are two correlated subjects, because during pregnancy the mother's placenta distributes nutrients to the fetus so the baby born is affected by the condition of his mother. Central Java has significant maternal and neonatal mortality rates in Indonesia. In this case, need a research to analyze the factors that influence maternal and infant mortality using Bivariate Poisson Regression (BPR) method. BPR is the right method because it can reconfirm two data that are correlated with Poisson distribution. This study produced three models. The first model is the maternal mortality rate has several significant factors, including pregnant women implementing the K1 and K4 program, vitamin A to postpartum mothers, pregnant women getting Fe tablets, and midwifery handle complications. The second model is the infant deaths that have factors pregnant women implementing the K4 program, helped assistance by medical team, postpartum mothers receiving vitamin A, pregnant women getting Fe tablets, complications handled by midwifery, and KB participants. The final model involves maternal and infant mortality. Significant factors are pregnant women implementing the K1 program, pregnant women implementing the K4 program, giving vitamin A to postpartum mothers, and KB participants.

scholarly journals Analysis of Efficiency of Government Expenditure In Health Sector in Central Java Province in 2012-2014

2018 ◽  
Vol 6 (1) ◽  
pp. 30-39
Author(s):  
Eka Dian Puspitasari ◽  
Amin Pujiati
Keyword(s):  
Health Status ◽  
Technical Efficiency ◽  
Government Expenditure ◽  
Health Sector ◽  
Outcome Variable ◽  
Health Budget ◽  
Central Java ◽  
Dea Method ◽  
The Government ◽  
Central Java Province

Health is one of the important factors in the success of the economic development in a country. The Government has managed the health budgets of at least ten percent of the total of the available local government budget. However, the amount of health budget has not been balanced yet by the optimal achievement of health status. This research aims at analyzing the technical efficiency level of the expenditure cost and the health service system and the target of improvement in order to achieve the efficiency in Central Java province in 2012-2014. This research uses Data Envelopment Analysis (DEA) method that will yield a relative efficiency value. The research uses health budget as the input variable, uses facilities and health services as the intermediate output variable, and uses the health status as the outcome variable. The assumption used is: Variable Return to Scale (VRS) and the output oriented model. The results of research that use the DEA method show that with the cost technical efficiency there are only five regencies/cities (14.3%) that have achieved an efficiency of 100 percent. While with the system technical efficiency there are only eleven regencies/cities (31.4%) that have achieved an efficient condition. This means, most regencies/cities in Central Java Province have not still efficient yet in the use of expenditure of health sector budget.

Health care expenditure and child mortality in Nigeria

2020 ◽  
Vol 33 (3) ◽  
pp. 261-275
Author(s):  
Oluyemi Theophilus Adeosun ◽  
Omolara Morounkeji Faboya
Keyword(s):  
Infant Mortality ◽  
Child Mortality ◽  
Health Care Expenditure ◽  
Health Sector ◽  
Health Condition ◽  
World Health ◽  
Mortality Level ◽  
Content Type ◽  
The Government ◽  
The Impact

PurposeHealth improves the proficiency and output generated by individuals. It also raises physical as well as mental abilities, which are required for the growth and advancement of any economy. Many infant diseases have been recognised via contemporary technology in a bid to tackle these diseases. However, children within the African continent (Including Nigeria) die en masse from diseases. This has made the government of Nigeria allocate sizeable part of the nation's budget to healthcare system. The allocation to health is, however, yet to translate to improved health condition for Nigerians. It does not measure up to the World Health Organization's (WHO) standards for apportioning budget to the health sector. This study also analyses empirically the impact of healthcare expenses on the mortality level of infants as well as Nigeria's neonatal mortality level.Design/methodology/approachThe paper focuses on Nigeria. Vector auto regression model techniques, unit root tests and cointegration test were carried out using time series date for the period between 1986 and 2016.FindingsThe outcome has revealed that expenditure on healthcare possesses a negative correlation with the mortality of infants and neonates. The study discovers that if the Nigerian government raises and maintains health expenditure specifically on activities focused on minimising infant mortality, it will translate to reduction in infant mortality in Nigeria.Originality/valueThis paper has contributed exhaustively to solution to poor expenditure on healthcare, especially child mortality, in Nigeria.

scholarly journals Analisis Angka Harapan Hidup di Jawa Timur Tahun 2015

2018 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Lina Septi Danasari ◽  
Arief Wibowo
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Secondary Data ◽  
Infant Mortality Rate ◽  
North Coast ◽  
Health Improvement ◽  
Central Java ◽  
The Government

Life expectancy is one of the indicators to calculate the Human Development Index (HDI) which determined by infants’ health, toddlers’ health, frequency of liveborn children and death rate in the community. East Java Province has four dominant cultural areas such as Mataraman including the western part of the border of Central Java to Kediri, Madura including Bangkalan to Pamekasan, Arek including north coast of Surabaya to Malang and Tapal Kuda including Pasuruan, Probolinggo, Situbondo, Bondowoso, Lumajang and Jember. Those four cultural areas have different characteristic that can affect public health status especially life expectancy in East Java Province. The analysis aimed to know the correlation between infant mortality rate and life expectancy and to know the differences of life expectancy among four cultural areas in East Java year 2015. This analysis used secondary data obtained from Central Bureau of Statistic of East Java on May, 2017. The data were life expectancy as dependent variable, infant mortality rate as independent variable and cultural areas in East Java as grouping variables. The result showed that there was correlation between infant mortality rate with life expectancy (p=0.000) and there was different in life expectancy among four cultural areas in East Java year 2015 (p=0.000) such as cultural areas Mataraman-Madura, Mataraman-Tapal Kuda and Arek-Tapal Kuda. It suggested the government to continue improving the socio-economic welfare of the community and public health improvement in the Tapal Kuda area which had high infant mortality rate and low life expectancy.

scholarly journals ANALISIS PENGARUH PENGELUARAN PEMERINTAH SEKTOR PENDIDIKAN DAN KESEHATAN TERHADAP KEMISKINAN DI JAWA TIMUR

2017 ◽  
Vol 15 (2) ◽  
pp. 129
Author(s):  
Naylal Fithri ◽  
David Kaluge
Keyword(s):  
Government Spending ◽  
Health Sector ◽  
Secondary Data ◽  
Poverty Line ◽  
Poor People ◽  
Complex Issue ◽  
Education And Health ◽  
Negative Effect ◽  
The Government ◽  
Positive Effect

Poverty is a complex issue because it relates to the inability of access to economic, social, cultural, political and participation in society became one assessment of the success of the government's performance. This study aims to determine the effect of government spending for education and health sector to poverty. The data used is secondary data with regression models panel.Hasil mneguunakan Research shows that the effect of government spending education sector and no significant negative effect on poverty. Government spending in the health sector and no significant positive effect on poverty. This is because the government is less effective in reducing the number of people living below the poverty line, this is evidenced by the tendency of increase in the number of poor people from time to time. 

scholarly journals ANALISIS PENGARUH PEMERINTAH TERHADAP INDEKS PEMBANGUNAN MANUSIA DI JAWA TIMUR

IQTISHODUNA ◽  
2016 ◽  
Vol 10 (2) ◽  
pp. 120-128
Author(s):  
Syivai Aviyati
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Social Indicators ◽  
Control Variable ◽  
Health Sector ◽  
Positive Direction ◽  
Road Infrastructure ◽  
The Social ◽  
The Government ◽  
Positive Effect

Human development has always been as the main topic of sustainable development. Improving thehuman quality as responsibility of all people, especially the government in term of allocation roles to providedifferent types of services such as education facilities, health and road infrastructure. The Social indicators tomeasure the success of human development used the human development index. This study empiricallyanalyze the effect of health expenses, education and road infrastructure as well as the growth of the populationas a control variable to the index of human development in the District/City of East Java. Data were collectedfrom 29 districts and 9 Cities of the year 2007–2012. To analyze the panel data of district/City, we use a fixedeffect model (FEM). We found a statistically significant and positive effect between government expenses oneducation and government expenses in the health sector to the index of human development, while governmentexpenses in infrastructure and population growth have no significant influence to the index of humandevelopment but have a positive direction.

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