Analisis Faktor-Faktor yang Mempengaruhi Konversi Lahan Pertanian Sawah ke Non Pertanian di Kabupaten Banyumas Jawa Tengah

2021 ◽  
Vol 6 (4) ◽  
pp. 131
Author(s):  
Alpha Nadeira Mandamdari ◽  
Djeimy Kusnaman ◽  
Adwi Herry Koesoema Elyanto
Keyword(s):  
Conversion Rate ◽  
Agricultural Land ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Ordinary Least Squares ◽  
Terms Of Trade ◽  
Rice Fields ◽  
Domestic Product ◽  
Analytical Determination ◽  
Population Number

Agricultural land in Banyumas Regency has decreased from year to year due to population and economic growth. The farm rice fields in Banyumas Regency in 2017 were 66.210 hectares, reduced to 63.326 hectares in 2020 or decrease in land area of 4%. This research was aimed to examine the conversion rate of agricultural land in the Banyumas Regency and factors that determine the conversion of agricultural land in the Banyumas Regency. The primary method used was descriptive-analytical. Determination of the research location was using a purposive method in Banyumas Regency. The technique to analyze the data was Linear multiple regression (Ordinary Least Squares). The information which used in this research was secondary data in 2010 – 2020. The variables in this research are conversion of agricultural land, population, number of industries, Gross Regional Domestic Product (GRDP), and Farmer’s terms of trade (FTT). This research shows that the conversion rate of agricultural land in Banyumas Regency is 8,45%, meaning that the average of arm rice fields in Banyumas regency for the last ten years (2010 – 2020) has decreased by 8,45%. The multiple linear regression analysis shows that the variables number of population, number of industry, and Gross Regional Domestic Product (GRDP) have a significant and positive effect on the conversion of agricultural land in Banyumas Regency. Farmer’s terms of trade (FTT) do not significantly affect agricultural land conversion in Banyumas Regency.

Analisis Pengaruh Utang terhadap Perekonomian dan Kemiskinan di Indonesia Periode 1949-2017

2018 ◽  
Vol 1 (1) ◽  
pp. 1-24
Author(s):  
Dedi Junaedi ◽  
Muhammad Rizal Arsyad
Keyword(s):  
Gross Domestic Product ◽  
Foreign Debt ◽  
National Income ◽  
National Development ◽  
Secondary Data ◽  
Development Planning ◽  
Debt Management ◽  
Domestic Product ◽  
Population Number ◽  
Better Than

Since  independence,  Indonesia   has   experienced  seven   changes   of   national leadership. Starting from  Soekarno, Soeharto, BJ Habibie, Abdurahman Wahid, Megawati, Susilo Bambang Yudhoyono (SBY), to Joko Widodo. During that time, foreign debt is always present to patch the development budget deficit. Debt is expected to move the wheels of the economy, create growth, create jobs, and alleviate poverty. This study aims  to  analyze  the  effect  of  debt, inflation  and  government regime differences on economic growth and poverty levels in Indonesia, from the Old Order era, the New Order, to the Reform Order. The study used  secondary data obtained from Bank Indonesia,  the National  Development  Planning  Agency (Bappenas), the Central  Bureau of Statistics (BPS), the World Bank, and other reference sources such as books, journals and scientific  papers. The data used  are  the value of  foreign debt, national income (Gross Domestic Product / GDP), population,  number and ratio of  the poor, inflation  rate in the period 1949 - 2017. The results  of  multiple  regression analysis  with  dummy variable (using  Eviews 10 application  program) show the  following  results:  Foreign debt has  correlation with  the national economic condition, in particular the value of Indonesian Gross Domestic Product and the level  of poverty. Debt tends to increase the value of GDP and reduce poverty. In terms of debt governance as a driver of the economy and poverty, the Suharto and Habibie Era tend to be different and better than the Sukarno Era. While the debt management of Era Abdurrahman Wahid, Era Megawati, Era SBY and Era Jokowi no different or no better than Era Sukarno. Although  nationally  can increase GDP and reduce poverty, debt can not improve people's prosperity (read per capita income). Foreign debt even tends to reduce the level of welfare of the people. This applies to all government regimes.    

scholarly journals Analisis Pengaruh Infrastruktur Listrik, Jalan Dan Kesehatan Terhadap Produk Domestik Regional Bruto Di Kabupaten Sidoarjo

2021 ◽  
Vol 12 (1) ◽  
pp. 54
Author(s):  
Yurike Aldona ◽  
Wiwin Priana Primandhana ◽  
Muhammad Wahed
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Health Infrastructure ◽  
Analysis Technique ◽  
Efficiency And Effectiveness

Gross Regional Domestic Product (GDP) is one of the economic indicators according to various economic instruments in which clearly visible macro-economic conditions of a region. Infrastructure is the most primary public infrastructure in supporting a country's economic activities, and the availability of infrastructure greatly determines the level of efficiency and effectiveness of economic activities. This study aims to analyze how much electricity, road, and health infrastructure affects gross regional domestic product in Sidoarjo Regency. This research covers the area of Sidoarjo Regency. This study uses secondary data obtained from the Central Statistics Agency with a period of 15 years from 2005-2019. The analysis technique used is Multiple Linear Regression Analysis with Ordinary Least Square (OLS) model using computer tools SPSS program (Statistic Program For Social Science) Version 13.0 that shows the influence between free variables and bound variables. The end result is that electricity infrastructure variables have a positive and significant influence on gross regional domestic product in Sidoarjo Regency. Variable road infrastructure and health infrastructure have a positive but insignificant influence on gross regional domestic product in Sidoarjo Regency.

scholarly journals HOW GOOD IS THE FOOD SECURITY IN INDONESIA

2020 ◽  
Vol 8 (7) ◽  
pp. 308-312
Author(s):  
Lusi Hidayah ◽  
Nasikh ◽  
Imam Mukhlis
Keyword(s):  
Food Security ◽  
Fixed Effects ◽  
Agricultural Land ◽  
Terms Of Trade ◽  
Domestic Product ◽  
Fixed Effects Model ◽  
Land Area ◽  
Economic Sectors ◽  
Population Variable ◽  
Food Expenditure

This research aims to provide analysis on the effect of farmers’ terms of trade, agricultural land area, gross regional domestic product and population on food security in 34 provinces in Indonesia. The data analysis method used is data panel model with fixed effects model. The results showed that the farmers’ terms of trade variable and The agricultural land area had no significant effect on food security in various provinces in Indonesia. Gross regional domestic product variable had significant effect on food security in various provinces in Indonesia. It showed that a high gross regional domestic product variable could decrease the amount of public food expenditure, which means lower consumption incurred for food causes food security to rise. Meanwhile, population variable had positive and significant effect on food security in various provinces in Indonesia, meaning an increase in population also increases the amount of public food consumption. Based on the results, it is recommended to find out how to stimulate various economic sectors in each province in which it could increase the amount of gross domestic product of each region. Better distribution of population could also affect the rate of food security in each province in Indonesia.

scholarly journals Analisis Faktor Eksternal dan Internal Bank terhadap Risiko Pembiayaan Bank Umum Syariah di Indonesia Periode 2012-2015

2018 ◽  
Vol 9 (1) ◽  
pp. 13
Author(s):  
Amalia Eka Purnamasari ◽  
Musdholifah Musdholifah
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Negative Influence ◽  
Capital Adequacy ◽  
Domestic Product ◽  
Analysis Model ◽  
Return On Assets ◽  
Capital Adequacy Ratio

The purpose of this research was to determine effect of growth gross domestic product, inflation, exchange rate, capital adequacy ratio, return on assets, operating expenses to operating revenues and bank size on financing risk (NPF) of Sharia Banks period 2012-2015. The data that use in this research is the secondary data, that is financial statement of Sharia Banks in Indonesia period 2012-2015. The sampling method that used in this research are purposive sampling and data analysis model used is the multiple linear regression analysis. The result of this research show that simultaneous each external and internal bank factor have influence on the NPF. But partially, showed that eksternal factor, namely growth gross domestic product, inflation and exchange rate have no influence on the NPF. While from the internal bank showed capital adequacy ratio and operating expenses to operating revenues have no influence, return on assets have a negative influence and bank size have a positive influence on the NPF. 

scholarly journals The Causal Link between FDI and Remittances in Kosovo, Switzerland, and Denmark

2021 ◽  
Vol 24 (2) ◽  
pp. 45-68
Author(s):  
Kida Nakije
Keyword(s):  
Foreign Direct Investment ◽  
Granger Causality ◽  
Direct Investment ◽  
Secondary Data ◽  
Wald Test ◽  
Ordinary Least Squares ◽  
Business Environment ◽  
Causal Link ◽  
Population Number ◽  
Fdi Inflows

The pursuit of money and capital is a relentless endeavor of every economy. FDI is considered the engine of economic growth, while are remittances the increasingly the catalyst of the population’s welfare. The purpose of the study is to analyze the answer about the relationship between remittances and FDI inflows in Kosovo, Switzerland and Denmark. Secondary data obtained from the World Development Indicators were, analyzed with the Ordinary Least Squares model and Granger Causality and processed with SPSS 21 technique. Measuring the correlation between variables, Foreign Direct Investment, GDP per capita growth, net migration, remittances, Gross Fixed Capital Formation, household consumption, and population number, give reliable results. Using remittances as a dependent variable, the first hypothesis has been partially confirmed, the most statistically significant and positive determinants that increase remittances are population, unemployment and migration and not other determinants. The regression results are unsatisfactory for the second hypothesis dependent variables Foreign Direct Investment the determinants are positive but not statistically significant, confirming that there are other factors that impact the increase of FDI inflows. The correlation matrix shows a high correlation between the variables. The Granger Causality model, through the Wald test, represents the cause. FDI does not cause remittances, but remittances cause FDI. A limitation of the study is the heterogeneity of the data and the countries in the sample. The results of the study will be of interest to government institutions in Kosovo to improve the business environment so that the country will become attractive to foreign investors who will bring capital and employment growth.

scholarly journals ANALISIS LUAS LAHAN PERTANIAN TERHADAP PRODUKSI PADI DI KALIMANTAN UTARA

2019 ◽  
Vol 9 (1) ◽  
pp. 15 ◽  
Author(s):  
Rika Harini ◽  
Rina Dwi Ariani ◽  
Supriyati Supriyati ◽  
M Chrisna Satriagasa
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Quantitative Methods ◽  
Agricultural Land ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Rice Production ◽  
Land Conversion ◽  
Land Area ◽  
The Social

The increasing population in North Kalimantan will affect the provision of land. Agricultural land conversion cannot be avoided to meet the social and economic needs of the population. To find out land conversion and its impacts in North Kalimantan, a study of a) changes in agricultural land area, b) changes in rice production and c) the effect of changes in agricultural land area on North Kalimantan rice production. Quantitative methods of secondary data analysis were carried out to assess rice production and changes in agricultural land presented in frequency tables, graphs and maps. Analysis of the effect of agricultural land area on rice production in North Kalimantan Province was carried out using linear regression analysis. The results showed that the agricultural land area in North Kalimantan in 2012-2017 had a change of 4,955 ha or around 19.56 percent.. Rice commodities in North Kalimantan in general decreased by 25,468 tons or 0.04 percent. While for agricultural land area significantly (0.029) has an effect on rice production in North Kalimantan.

scholarly journals Regresi Data Panel untuk Mengetahui Faktor-Faktor yang Mempengaruhi PDRB di Provinsi DIY Tahun 2011-2015

2019 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
Dea Aulia Nandita ◽  
Lalu Bayu Alamsyah ◽  
Enggar Prima Jati ◽  
Edy Widodo
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Secondary Data ◽  
Least Square ◽  
Domestic Product ◽  
Data Series ◽  
Population Number ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression

<p>Population growth can encourage and hinder economic growth. This study aims to analyze the factors that influence gross domestic product (GDP) in Daerah Istimewa Yogyakarta (DIY) using panel data regression. This study uses three independent variables, namely number of population, number of poor population, and investment, while the dependent variable is GDP. We use secondary data obtained from Badan Pusat Statistik (BPS). The results obtained from the regression analysis of the data series time panel are generalized least square (GLS), while for the cross section data panel shows the REM model is more suitable than PLS and FEM. Based on the validity test of the influence or t-test, the variable that shows significant to the economic rate which is categorized as GRDP in the Daerah Istimewa Yogyakarta in 2011-2015 is the variable Total population and Investment which has a positive relationship.</p><p><strong>Keywords</strong><strong> : </strong>economic growth rate, panel data regression, gross regional domestic product</p>

scholarly journals ANALISIS PENGARUH INFLASI, JUMLAH UANG BEREDAR, DAN PRODUK DOMESTIK BRUTO TERHADAP RETURN ON ASSET (ROA) BANK SYARIAH DI INDONESIA

2020 ◽  
Vol 6 (2) ◽  
pp. 132
Author(s):  
Ibnu Seyna Riyanto ◽  
Salamatun Asakdiyah
Keyword(s):  
Gross Domestic Product ◽  
Money Supply ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Significance Test ◽  
Domestic Product ◽  
Islamic Banks ◽  
Return On Assets

This study aims to explain the analysis of the influence of inflation, amount of money supply and gross domestic product to return on assets (ROA) Islamic Banks in Indonesia for the period 2010-2014. Macroeconomic variables used in this research are inflation, the amount of money supply and gross domestic product. Indicators used to assess performance Islamic Bank finance in this study is Return On Assets (ROA). This research uses documentation method with secondary data obtained from the Bank Indonesia website, the Central Statistics Agency and the respective Bank's website. The sampling technique used in this study using a purposive sampling method, so the number of samples is used in this study amounted to 7 Islamic banks in Indonesia. Technique data analysis uses multiple linear regression analysis, classical assumption test and significance test. The results showed, partial inflation was not significant effect on Return On Assets (ROA). The money supply partially negative and significant effect on Return On Assets (ROA). Gross Domestic Product has a positive and significant effect on Return On Assets (ROA). Whereas simultaneously shows inflation, amount money supply and gross domestic product have a significant effect on Return On Assets (ROA).

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI ALIH FUNGSI LAHAN SAWAH KE NON SAWAH DI KABUPATEN SLEMAN DAERAH ISTIMEWA YOGYAKARTA

2017 ◽  
Vol 13 (1) ◽  
pp. 22
Author(s):  
Annisa Titias Habibatussolikhah ◽  
Darsono Darsono ◽  
Susi Wuri Ani
Keyword(s):  
Linear Regression ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Least Square ◽  
Land Area ◽  
Ordinary Least Square ◽  
Trust Level

The development of non-agricultural sector are increasingly in need of land. The land needs met by conversion of agricultural land to non-agricultural land. This research was aimed to examine the rate of the agriculture land (wet land) conversion and factors that determine the conversion in Sleman Regency. The basic method which used  was  descriptive  analytic.  Determination  of  the  research  location  was  using purposive method in Sleman regency. Method to analyze the data was double linear regression  (Ordinary  Least  Square).  The  data  which  used  in  this  research  was secondary  data  in  1984-2013  from  BPS,  BPN,  Bappeda,  and  DPUP  of  sleman regency.The result of this research shows that the conversion of wet land in Sleman regency happened in 1984-2013. Since 30 years, wet land area which convert to nonagricultural  area  was  4.496  Ha  or  150  Ha.  Wet  land  area  had  decreased  with  the growth  rate  0,608%  per  year.  Based  on  the  double  linear  regression  analysis (Ordinary Least Square) with 95% of trust level, it could be known the significance relation  between  wet land area  and the number  of  population, industry,  residential, road length, PDRB, and government policy. Individually, the area of agricultural land in sleman regency was influenced by the number of population, industry, residential, and PDRB.

scholarly journals HUBUNGAN ANTARA LUAS LAHAN PERTANIAN DENGAN PRODUK DOMESTIK REGIONAL BRUTO SEKTOR PERTANIAN DI KOTA TOMOHON

2016 ◽  
Vol 12 (1) ◽  
pp. 13
Author(s):  
Aditya Novandy Arotaa ◽  
Benu L.S. Olfie ◽  
Theodora M. Katiandagho
Keyword(s):  
Land Use ◽  
Gross Domestic Product ◽  
Agricultural Sector ◽  
Agricultural Land ◽  
Secondary Data ◽  
Domestic Product ◽  
Land Area ◽  
Department Of Agriculture ◽  
The Impact ◽  
The Relationship

Tomohon development as an autonomous region led to the need for non-agricultural land is increasing from time to time. This condition causes the competition has taken place in land use. Feared an increased need for non-agricultural land will lead to land conversion of agricultural land to non-agricultural. The transfer of land use will have an impact on agricultural production that will affect the agricultural sector GDP. This study aims to determine the relationship between the area of ​​agricultural land with a regional gross domestic product of agriculture in Tomohon. This study was conducted over four months starting in February 2015 to May 2015 in Tomohon. The data are used, in this study, is a secondary data obtained from the Office of National Statistics Agency (BPS) and the Department of Agriculture in To-mohon. Data presented tabularize and and analyzed using correlation analysis. The results showed that, in the last three years, agricultural land area in Tomohon shrinkage due to the need for non-agricultural land, especially residential construction increased. It is given Tomohon is a city that is building. Reduction of agricultural land in 2012 amounted to 1.77 percent by the year 2014 decreased by 0, 01 percent. Instead rate of growth of gross regional domestic product of the year 2012 increased by 6.54 percent to 6.92 percent in 2014. The study concluded that the impact of agricultural land being against the gross regional domestic product, caused by another factor, namely the constant price factors that influence regional gross do-mestic product of Tomohon. Thereforet, when the land area or size increased in 2005-2011 and decreased in the year 2012 - 2014 however regional gross domestic product still increased. The relationship between land area with a regional gross domestic product is being categorized correlated with the value of the correlation is 0.62.*er*

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