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Pengaruh Infrastruktur terhadap Kemiskinan dengan Menggunakan Data Panel 34 Provinsi di Indonesia Fery Andrianus; Khaira Alfatih
Jurnal Informatika Ekonomi Bisnis Vol. 5, No. 1 (2023)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.181 KB) | DOI: 10.37034/infeb.v5i1.206

Abstract

This study aims to analyze how the influence of infrastructure consisting of sanitation, electricity and roads on poverty levels in Indonesia, either simultaneously or partially. This study uses a quantitative method in the form of multiple regression analysis with panel data. The type of data used is secondary data from 34 provinces in Indonesia during the 2015-2019 period obtained from the Central Statistics Agency which includes: data on the percentage of the number of poor people, data on the length of roads and the area of the province, data on the percentage of households that have access to PLN electricity, and data on the percentage of households that have access to proper sanitation services. The results of the analysis using a random effect model approach show that sanitation, electricity and road infrastructure have a significant negative effect on poverty levels. This means that an increase in each infrastructure has an effect on reducing the percentage of poor people in Indonesia. Thus, it is evident that the increase in each variable of sanitation, electricity and roads has a significant effect on reducing the percentage of the number of poor people in Indonesia.
Pengeluaran Pemerintah Kabupaten/Kota di Provinsi Riau: Pendekatan Spasial Tata Surya; Fery Andrianus; Neng Kamarni
Jurnal Ilmiah Universitas Batanghari Jambi Vol 23, No 3 (2023): Oktober
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v23i3.4368

Abstract

Traditional determinants of government spending include income, grants, demographic and political factors. But a government's spending policy can also be influenced by its neighboring governments' spending policies. This study uses Spatial Autoregressive (SAR) spatial econometrics to observe the existence of strategic interactions in District/City Government spending in the Riau Province for the 2011-2019 period. The research results show that there is a strategic interaction in government spending.
INEQUALITY OF HOUSEHOLD INCOME IN INVOLUNTARY RESETTLEMENT AT KOTO PANJANG UTRI SAFRI YETMI; FERY ANDRIANUS; ZULKIFLI N
JEBI (Jurnal Ekonomi dan Bisnis Islam) Vol 4, No 2 (2019): Juli - Desember
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jebi.v4i2.819

Abstract

This research examined inequality of household income transferred due to the construction involuntary resettlement of the Koto Panjang dam in Kampar District, Riau Province. Dam construction caused the displaced of the households in the location. The households received compensation in the form of buildings and land. Even though the displaced household received the same compensation but some households had better lives while others were worse. This condition showed the inequality of household income in the new location. This study used primary data that obtained through questionnaires in 3 sub-districts of 10 villages. The analytical tool used to see the income inequality was the Gini ratio. This study found that the inequality of household income transferred in Koto Panjang was moderate. This showed that the households that have been moved due to the construction of the Koto Panjang Dam have been quite good compared to before.
Analysis of Child Poverty Using a Multidimensional Approach in Indonesia Mahlil Andre Putra; Fery Andrianus; Melinda Noer
Daengku: Journal of Humanities and Social Sciences Innovation Vol. 4 No. 1 (2024)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.daengku2262

Abstract

Poverty prevents children from being able to fulfill their basic rights such as their need to learn, access to basic services, obtain a better education and participate in society. This research was conducted to examine the multidimensional child poverty. The results showed that the percentage of children living in multidimensional poverty was 35,54 percent. In the age group of 0-6 years, the dimension that was most deprived was health, while in the age group of 7-17 years, the dimension that was most deprived was food. On average, 32,9 percent of children aged 0-6 years are deprived in two or more dimensions, and 33.9 percent of children aged 7-17 years are deprived in two or more dimensions of basic needs. This study used logistic regression as a research method to identified the probability of child being poor. The result showed that the number of children, occupation of the household head, region, education of the household head and gender of the household head were significant variables affecting children's likelihood of being poor, as well as the interaction variables between the number of children*occupation of household head, the number of children*region and the number of children*education of household head. However, the gender of the kids variables did not have a significant effect.
Analysis of monetary policy response during normal period and during covid-19 pandemic to inflation in Indonesia Nefi Sukma; Fery Andrianus
Jurnal Mantik Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i3.4193

Abstract

The purpose of this study is to analyze the effect of Money Supply, Interest Rates and Exchange Rates on Inflation during the Covid-19 pandemic and see the differences in monetary policy responses during normal times and during the Covid-19 pandemic in Indonesia.The method used in this study is Markov Switching Autoregressive by Hamilton which is a model of combining Markov and Autoregressive chains that can explain structural changes in time series data. The variables used in this study are Inflation as the dependent variable and Jub, Interest Rates, and Exchange Rates as independent variables, and are processed using RStudio 4.2.1 and Eviews 10 software. The results show that in regime 1, Jub, Interest Rate, and Exchange Rate have no significant influence on Inflation. While in regime 2, Jub, Interest Rate, and Exchange Rate have a significant influence on Inflation. The response of monetary policy during normal times to the development of macroeconomic conditions, especially at the level of inflation, Jub, interest rates, and the rupiah exchange rate is that Bank Indonesia is aware of the risks that will occur in the macroeconomic balance in Indonesia by ensuring adequate liquidity, maintaining monetary and financial system stabilization so that stimulus in the economy can run effectively. Meanwhile, during the crisis period including the Covid-19 pandemic, Bank Indonesia has coordinated very closely with the Financial Services Authority (OJK) and also with the Government to formulate policies to mitigate the impact of the Covid-19 pandemic so that macroeconomic and financial system stability is well maintained to maintain the momentum of Indonesia's economic growth