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Analysis of Village and Poverty Funds in Indonesia Indria Mayesti; Amri Amir; Surya Hidayat; Syaparuddin Syaparuddin
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.3597

Abstract

The purpose of the study through a statistical model of ratio, growth and moving average found that the use of village funds in Indonesia during the 2015-2020 period was an average of IDR 38 (trillion rupiah) with the highest growth rate of village funds in 2016 of 124.78%, the budget which is not in line with the percentage of poverty in Indonesia of 3.41% or 17,280,000 (people). The lowest growth in village funds was in 2018 at 0.16% and not in line with the decline in poverty in Indonesia at 3.42% or at 25,670,000 (people). The village fund for a month is Rp. 134,876 assuming 4 members and the ratio of village funds to poverty is Rp.539, 504 or people's income is classified as low. UThe highest village fund budget occurred in 2018 of Rp. 50 (trillion rupiah) in the same year poverty increased in Indonesia to 27,293,333 (people) or 11.13%. The results of the moving average model found a value of 3.10%, meaning that ifAssuming there is an increase in the poverty rate by 3.43%, then the village fund becomes Rp.472.595 or is in a position above the poverty line.To overcome the problem of poverty is to increase the ratio of village fund budgets to the number of poor people and implement productive empowerment programs that have implications for increasing community income and involving village community participation.
Analisis Pengaruh Jumlah Penduduk, Pertumbuhan Ekonomi dan Inflasi Terhadap Kemiskinan di Provinsi Jambi Abd Halim; Indria Mayesti; Rossa Anggraini
J-MAS (Jurnal Manajemen dan Sains) Vol 7, No 2 (2022): Oktober
Publisher : Universitas Batanghari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jmas.v7i2.593

Abstract

Poverty is one of the biggest problems faced by all countries, especially developing countries like Indonesia. Therefore, it is necessary to analyze what factors influence poverty. The purpose of this study was to determine the development and influence of Population, Economic Growth and Inflation on Poverty in Jambi Province based on 2011-2020 data. This research is a quantitative research because the data that is processed is quantitative data such as data on population, economic growth, inflation and poverty. Sources of data obtained from the Central Statistics Agency (BPS) in the form of secondary data. The data analysis technique used is multiple regression analysis with IBM SPSS statistics and time series. The results show the results of the first hypothesis that the effect of population (X1) on poverty (Y) has a positive and insignificant effect with a probability value of 0.589, the effect of economic growth (X2) on poverty (Y) on a negative and insignificant effect with a probability value of 0.847, the effect of inflation (X3) on poverty (Y) there is a positive and insignificant effect with a probability value of 0.738. Simultaneously, it is found that population (X1), economic growth (X2) and inflation (X3) have a negative and insignificant effect on poverty (Y) in Jambi Province for the period 2011-2020.
Determinan Kemiskinan Provinsi Jambi Irmanelly; Devita.Andri; Indria Mayesti; Nurdin
JUMANJI (JURNAL MANAJEMEN JAMBI) Vol. 4 No. 1 (2021): JUMANJI (JURNAL MANAJEMEN JAMBI)
Publisher : LPPM Universitas Adiwangsa Jambi

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Abstract

The research entitled Determination of Poverty in Jambi Province uses secondary data which is presented in the form of annual data / series from 2000-2019, which were obtained from BPS RI, BPS Jambi Province and Jambi Province Bappeda. The analysis tool uses the Multiple Regression Model Analysis model and Pearson Correlation using software views 8.0 and SPSS version 21.0. The results showed that 1). Economic growth (GE) and human development index (HDI) partially have a negative and significant effect in reducing poverty in Jambi Province, while the productive population (JP) has a positive and significant effect on increasing poverty in Jambi Province during the 2000-2019 period. Meanwhile, expenditure per capita and labor force did not significantly influence the increase or decrease in poverty in Jambi Province during the 2000-2019 period. However, simultaneously economic growth, per capita expenditure, population, human development index and labor force have a significant effect on the fluctuation of poverty in Jambi Province with a R-squared of 87.00 percent. 2). The relationship between economic growth, per capita expenditure, population, human development index and labor force with poverty in Jambi Province as a whole is very strong with a correlation coefficient of 92.3 percent. Individually, government spending (PP), the number of productive population (JP) and the working labor force (AK) with poverty in Jambi Province "have a very strong relationship". And for economic growth (GE) and human development index (HDI) with poverty Jambi Province during the 2000-2019 period "has a fairly strong relationship".