scholarly journals KUALITAS PEMBANGUNAN MANUSIA DI PROVINSI PAPUA

Media Ekonomi ◽  
2020 ◽  
Vol 27 (2) ◽  
pp. 171
Author(s):  
Eleonora Sofilda

<em>Various economic literature has been widely disclosed that the level of income, the allocation of the education budget, the level of investment and infrastructure spending are fundamental factors directly affecting the level of poverty. In the end, reducing poverty levels is expected to improve the quality of human development. The purpose of this study is to look at the effect of education budget allocation, health budget allocation, infrastructure budget allocation, population, open unemployment rate and inflation on poverty levels in Papua Province and see the effect of poverty levels on HDI in Papua Province. <em>This study uses quantitative methods to analyze the effect of independent variables on HDI with poverty as an intervening variable in Papua Province. Data was taken from 2010-2017 and came from 29 regencies in Papua Province in Indonesia. The analytical tool used is Multiple Linear Regression with Panel Data. <em>The findings of this study are significant education and health budget allocations to poverty levels, whereas for infrastructure allocation budgets, the population is not significant to poverty levels. Open unemployment and inflation are significant for poverty levels. Poverty Level Installed is very significant on the Human Development Index</em></em></em>

2018 ◽  
Vol 16 (1) ◽  
pp. 24
Author(s):  
Nurisqi Amalia ◽  
Anisa Nurpita ◽  
Rina Oktavia

Papua Province is one of the poorest provinces in Indonesia. Some of the variables that affect health levels including Human Development Index (HDI) and unemployment rate. This research analyzes Human Development Index and unemployment rate to poverty level in districts/cities in Papua Province during 2010-2015. Research data used in this research is secondary data from Central Bureau of Statistics of district/city in Papua Province. The independent variables used are open unemployment rate and Development Index. While the dependent variable used is poverty level in districts/citis in Papua Province year 2010-2015. The analysis tool used is regression with panel data. The result of this research shows that the average of district/city’s poverty rate in Papua 2010-2015 is 32,34 percent. The highest level is in District Deiyai and the lowest is in District Merauke. The Human Development Index has decreased significantly to the poverty rate of district/city in Papua Province, while the open unemployment rate is positive to the poverty rate of district/city in Papua Province. Human Development Index and open unemployment rate as a whole and together affect poverty level in district/city in Papua Province.


2020 ◽  
Vol 18 (1) ◽  
pp. 51
Author(s):  
Rully Firmansyah ◽  
Dyah Wulansari

Happiness is the main goal in life. To measure someone's happiness is not easy, many opinions have emerged. Some say happiness can be measured through the satisfaction of one's life, some say happiness is measured through one's income, education, and health. The number of people's opinions to measure one's happiness appears as an indicator of happiness. At present, there are 48 indicators. One of the most accurate is HPI. The HPI indicator is very important for a country to increase the happiness of its people. Example: life expectancy in a country will increase and unemployment will decrease because a person has extensive knowledge and knowledge that is needed both by himself and the company that will accept him as his employee. The purpose of this study is to find out how HDI influences, life expectancy, unemployment on the level of happiness of people in ASIA. In this study using secondary data sources conducted by taking HDI data, life expectancy, unemployment in ASIA, and HPI data on ASIA. The results of the analysis using quantitative methods indicate that the independent variables namely HDI, life expectancy, and unemployment. Has a significant positive effect on the HPI dependent variable.


2018 ◽  
Vol 4 (02) ◽  
pp. 136
Author(s):  
Abdul Haris Romdhoni ◽  
Dita Ratna Sari

This study aims to examine the influence of knowledge, service quality, product, and religiosity on customers' interest in using savings products at BMT Amanah Ummah Gumpang Kartasura, Sukoharjo. In this study for independent variables are knowledge, service quality, product, and religiosity, while for the dependent variable in this study is the interest of customers using deposit products. This study uses a sample of 100 people with sampling using a random sampling method. This study uses quantitative methods and primary data using a questionnaire that must be answered by the respondent. Data analysis in this study used Multiple Linear Regression. The results of this study can be concluded based on the t test, the variables of knowledge and religiosity have an influence on the interest of customers using savings products. While service and product quality variables do not have an influence on customer interest by using deposit products. Based on the F test shows that the knowledge, quality of service, products, and religiosity simultaneously influence the interest of customers to use savings products at BMT Amanah Ummah Gumpang Kartasura, Sukoharjo.


Author(s):  
Made Krisna Kalpika Sunu ◽  
Made Suyana Utama

The purpose of this study was to analyze the effect of village funds on the level of poverty and the welfare of the community in the regency / city of the Province of Bali. Village fund data was obtained from the Bali Province Community and Village Empowerment Service, while the poverty rate and Human Development Index were obtained from the Central Statistics Agency of Bali Province in 2015-2017. The data analysis technique used in this study is descriptive statistics and path analysis. The results of this study indicate that village funds have a negative and significant effect on poverty levels. This means that the higher the village fund, the lower the poverty rate. Village funds have a positive and significant effect on people's welfare. This means that the higher the village funds, the higher the welfare of the community in the area. The poverty level has a negative and significant effect on people's welfare, meaning that the higher the poverty level, the lower the welfare of the community


Author(s):  
Ditha Pradnya Puspita ◽  
Theresia Militina ◽  
Aji Sofyan Effendi

Poverty is one factor that concerns a country not least in Indonesia in general and East Kalimantan Province in particular. With the increasing number of poor people in an area being a bad impact on the performance of the government itself, so the government must be able to work to overcome and reduce the number of poor people in the area, one of which is providing opportunities for broad work for the community, the purpose of this study is to analyze several factors that can be used in reducing poverty. In this study there are several independent variables used including infrastructure spending, investment, transfer funds and economic growth and with the dependent variables which are dependent on employment opportunities and poverty levels. In this study using a tool such as SPSS version 22 where to see the direct or indirect relationship between the independent variables on the dependent variable. The analysis test results obtained that the independent variable as a whole has an influence on the employment variable and also on the poverty level variable, the independent variable has a positive and significant effect indirectly on the poverty level variable with the employment opportunity variable as an intermediary .


Author(s):  
Nelly Masnila ◽  
Riana Mayasari ◽  
Firmansyah Firmansyah ◽  
Jovan Febriantoko ◽  
Jamaliah Said

This study aimed to determine the relationship and effect of the GGG variable on the quality of the financial reports in municipal governments in Indonesia by implementing the IIAG (The Ibrahim Index of African Governance) indicator. The variables of this study consist of the participant, legal culture, transparency, responsiveness, public interest orientation, fairness, effectiveness and efficiency, accountability, strategic vision, and human development as independent variables and the quality of financial reports as dependent variables. The method in this study was quantitative, so it was found that partially, only responsive and accountability variables significantly affected the quality of the financial reports. Meanwhile, other independent variables such as participants, legal culture, transparency, public interest orientation, fairness, effectiveness and efficiency, strategic vision, and human development had no significant effect on the quality of financial reports. However, simultaneously, all independent variables had a significant effect on the quality of financial reports. The level of the coefficient of determination obtained was equal to Adj. R2 = 0.299. It means that the quality of local government financial reports was influenced by the independent variable by 29.9%, while 70.1%was influenced by other variables not examined in this study


Author(s):  
Truc Nhan ◽  
Dao ba Loc

Vietnam has achieved many achievements in human development, which is reflected in the increase in HDI rankings, increase in component indexes as well as HDI value, the growth rate of HDI among the highest in the world but there are many challenges that Vietnam needs to overcome to get higher HDI. This research collected and analyzed secondary data to analyze, compare and evaluate data on HDI, IHDI, inequality, gender gap, disparities in regions and people groups and some other related indicators to indicate Viet Nam's achievements in human development since 1990, and more importantly, the study identified challenges in gender gaps, disparities in regions and people groups. In order to overcome these challenges and increase HDI much more, based on the analysis of the state of Vietnam's human development and its challenges, the study proposed some policy suggestions such as: (1) Closing the gender gap in education and labor participation; (2) Reducing disparities among regions and population groups; (3). Improving the access ability to education and health care for the poor; (4) Improving people's income and quality of life.


2022 ◽  
Vol 60 (1) ◽  
Author(s):  
Achmad Tjachja Nugraha ◽  
Gunawan Prayitno ◽  
Listio Nandhiko ◽  
Ahmad Riswan Nasution

Abstract: This study aims to analyze how the influence of infrastructure availability, socioeconomic conditions, and the effect of location on poverty levels. The descriptive analysis is used to give a general description of poverty by using thematic charts and maps. The poverty map is analyzed by spatial autocorrelation of poverty levels by using a Moran Scatterplot and the Local Indicators of Spatial Association (LISA) Map. The results of the study indicate the existence of spatial linkages to poverty. The Increasing of other variables outside the model in neighboring regions will increase the level of poverty in a region. The infrastructures of road extension, clean water infrastructure, economic growth, quality of education, and health have a significant influence on the level of poverty, while the percentage of satisfactory sanitation did not demonstrate to affect the significant effect on poverty. The conclusion is that the level of poverty in the provinces of Central Java and Yogyakarta has an irregular distribution and a clustered spatial pattern.


2018 ◽  
Vol 3 (2) ◽  
pp. 71
Author(s):  
Muslikhati Muslikhati

Human development is one of the indicators of the success of economic growth. The good quality of human resources goes hand in hand with economic growth, this is because resources as part of the factor of production are the most valuable assets in the economic activities of a country. This study aims to determine and analyze the causality of economic growth towards the quality of human resources. The method used in this study was using the Granger Causality method. Granger Causality Approach is used to measure the strength of the relationship between two or more variables, or it can also be used as a tool to see the direction of the relationship between independent variables and the dependent variable. The variable Human Development Index (HDI) as the dependent variable and per capita income variable as the independent variable. From this study it was concluded that the granger causality test on the proposed research model states that there is no causality relationship between two independent variables and the dependent variable, but significantly the Indonesian economic growth variable has a one-way relationship with the human development index (HDI).Human development is one of the indicators of the success of economic growth. The good quality of human resources goes hand in hand with economic growth, this is because resources as part of the factor of production are the most valuable assets in the economic activities of a country. This study aims to determine and analyze the causality of economic growth towards the quality of human resources. The method used in this study was using the Granger Causality method. Granger Causality Approach is used to measure the strength of the relationship between two or more variables, or it can also be used as a tool to see the direction of the relationship between independent variables and the dependent variable. The variable Human Development Index (HDI) as the dependent variable and per capita income variable as the independent variable. From this study it was concluded that the granger causality test on the proposed research model states that there is no causality relationship between two independent variables and the dependent variable, but significantly the Indonesian economic growth variable has a one-way relationship with the human development index (HDI).


2020 ◽  
Vol 18 (2) ◽  
pp. 95-104
Author(s):  
Imade Yoga Prasada ◽  
Tri Fatma Mala Yulhar ◽  
Tia Alfina Rosa

Poverty is currently a major problem that must be resolved in various regions in Indonesia, including areas in Java. Java Island is the island with the highest number of poor people compared to other islands in Indonesia. The aim of this study was to determine the determinants of poverty levels in Java and formulate policy recommendations that can be implied to overcome poverty. Research variables have used secondary data from six provinces in Java sourced from the Central Statistics Agency, namely poverty level data, Human Development Index (HDI), inflation rate data, open unemployment rate data, and Regional Minimum Wage data (UMR). The data was compiled into panel data and analyzed using OLS Model. The analysis showed that the determinants of poverty levels in Java were inflation rates, Human Development Index, Regional Minimum Wages, and open unemployment rates, so that all determinants need to be considered properly to formulate policy recommendations that able to overcome poverty in Java. 


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