scholarly journals Analisis sub sektor perkebunan Provinsi Jambi

2019 ◽  
Vol 8 (1) ◽  
pp. 15-30
Author(s):  
Popi Fitriandi ◽  
Hardiani Hardiani ◽  
Candra Mustika
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Agricultural Sector ◽  
Domestic Product ◽  
Average Increase ◽  
Land Area

The purpose of this research is first, to know and analyze the development of the land area, labor, and GRDP of the plantation sub-sector in Jambi Province. Second, knowing and analyzing the contribution of the plantation sub-sector to the agricultural sector and the GRDP of Jambi Province. Third, to analyze the effect of land area and labor on the output of the plantation sub-sector in Jambi Province. The development of the land area, labor, GDP in the plantation sub-sector of Jambi Province for the period 2000-2015 continued to increase, with an average increase in land area of ​​2.52%, a workforce of 2.74%, GRDP of the plantation sub-sector by 7.84%. The contribution of the plantation sub-sector to the agricultural sector and the GRDP of Jambi Province for the period 2000-2015 also continued to increase. Based on the results of multiple linear regression calculations, simultaneously land area and labor have a significant effect on the output of the plantation sub-sector in Jambi Province. Partially, land area has a significant effect on the output of the plantation sub-sector in Jambi Province, while labor does not affect the output of the plantation sub-sector in Jambi Province. Keywords: Land area, Labor, Gross regional domestic product of plantation sub sector

scholarly journals Pengaruh Industri Sedang dan Besar Terhadap Tingkat Kemiskinan di Kabupaten Gresik Tahun 2002-2016

2021 ◽  
Vol 4 (1) ◽  
pp. 25-31
Author(s):  
Rohmatul Janah ◽  
Ida Nuraini
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Industrial Sector ◽  
Poverty Rate ◽  
Domestic Product ◽  
Series Data ◽  
Insignificant Effect ◽  
Poverty Levels

This research is aimed at studying the influence of medium and large industries on poverty levels in Gresik on 2002-2016. The variables used in this study is medium and large industries, a labour of medium and large industries, gross regional domestic product (GRDP) of industrial sector and poverty rate. The method used in this study used multiple linear regression and used time-series data. The results of this study simultaneously are the variables of the amount of medium and large industries, the labour medium and large industries, and the gross regional domestic product (GRDP) of the industrial sector to poverty rate is significant. While medium and large industries to poverty rate have negative and insignificant effect with a coefficient value of -0,208905. The labour of medium and large industries to poverty rate has a positive and significant effect with a coefficient value of 0,130822,  the gross regional domestic product (GRDP) of industrial to poverty rate has a negative and significant effect with a coefficient value of -0,169431.

scholarly journals PENGARUH INVESTASI DAN TENAGA KERJA TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) DAN PENDAPATAN ASLI DAERAH (PAD) KOTA BALIKPAPAN

2015 ◽  
Vol 5 (2) ◽  
pp. 159
Author(s):  
Johana Rosmalia ◽  
Rusdiah Iskandar ◽  
Fitriadi Fitriadi
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pathway Analysis ◽  
Secondary Data ◽  
Strong Relationship ◽  
Domestic Product ◽  
Regression Formula

This study used secondary data in the form of time series which are analyzed using Pathway analysis with multiple linear regression formula. The purpose of this study was to determine the effect of investment and labor to gross regional domestic product (GRDP) and regional revenues in Balikpapan city.  The results of the study was shown that Y = 0.202 - 0.098 X1 + 0.244 X2 + 0.825 X3. The results showed that investment, labor and gross regional domestic product (GRDP) have jointly effect on the regional revenues in Balikpapan city. Partially; the investment has no significant effect on gross regional domestic product (GRDP), labor has significant effect on gross regional domestic product (GRDP), gross regional domestic product (GRDP) has significant effect to regional revenues in Balikpapan city, the investment has no significant effect on regional revenues in Balikpapan city, and labor has no significant effect on regional revenues in Balikpapan city. The contribution of investment, labor and gross regional domestic product (GRDP) variable was about 93.5 % and it means that those have very strong relationship; meanwhile, the rest, about 6.5 %, has been influenced by other factors.

PENGARUH DANA BAGI HASIL, DANA ALOKASI UMUM, DAN DANA ALOKASI KHUSUS TERHADAP TAX EFFORT (Studi pada Pemerintah Kabupaten di Madura)

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Subhan Subhan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Quantitative Data ◽  
Revenue Sharing ◽  
Financial Statements ◽  
Profit Sharing ◽  
Domestic Product ◽  
Regional Government ◽  
Tax Effort ◽  
Key Word

The purpose of this reseach was to know the effect of profit sharing, general allocation fund and special allocation fund to tax effort in the district in madura. Independence variable in this reseach were profit sharing, general allocation fund and special allocation fund. Dependent variable of this reseach was tax effort.The data of this research is quantitative data in the form of financial statements of Regional Government and Gross Regional Domestic Product of 2010 until 2014. While the analytical model used to test the hypothesis is multiple linear regression is based on the financial statements of Regional Government and Regional Gross Regional Domestic Product until 2014.The results show that the profit-sharing fund, general allocation fund and allocation fund partially does not affect the tax effort. Simultaneously for revenue sharing, general allocation funds and allocation funds Partially no effect on tax effort. Key Word : Profit Sharing, General Allocation Fund, Special Allocation Fund, Tax Effort

scholarly journals PENGARUH LUAS LAHAN, LUAS BANGUNAN DAN TATA LETAK TANAH TERHADAP PENERIMAAN PAJAK BUMI DAN BANGUNAN DI KABUPATEN MINAHASA TAHUN 2015-2017

2020 ◽  
pp. 13-18
Author(s):  
Gianfillo Luke Mampow ◽  
James Manengkey ◽  
Andrew Marunduh
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Land Area ◽  
Collection Method ◽  
Significance Level ◽  
Processing Data ◽  
Library Research ◽  
Building Area ◽  
Independent Variable

Tujuan dari penlitian ini adalah untuk menganalisis pengaruh Luas Lahan, Luas Bangunan dan Tata Letak Tanah terhadap Penerimaan Pajak Bumi dan Bangunan di Kabupaten Minahasa pada tahun 2015 sampai tahun 2017. Populasi dari penelitian ini adalah 25 kecamatan yang berada di Kabupaten Minahasa. Metode pengumpulan data menggunakan teknik library research dan teknik dokumentasi, dan teknik untuk mengolah data menggunakan regresi linear berganda. Hasil penelitian ini menunjukan variabel  dependent secara simultan berpengaruh terhadap penerimaan Pajak Bumi dan Bangunan (PBB) dengan hasil Fhitung  > Ftabel (18,594 > 2,736) dengan nilai signifikansi 0,000 (0,0%) < 5%. Secara parsial hasil penelitian ini menunjukan Tata letak tanah secara parsial tidak berpengaruh signifikan dengan nilai Thitung < Ttabel (1,802<1,994) dengan tingkat signifikansi 0,076>0,05. Dengan hasil Ajusted R2 sebesar 0,416 artinya variabel independent pada penelitian ini menjelaskan variabel dependent sebesar 41,6% sedangkan sisanya 58,4% dijelaskan oleh variabel lain diluar penelitian ini. Abstract The purpose of this study was to analyze the effect of land area, building area and land layout on land and building tax revenues in Minahasa district from 2015 to 2017. The population of this study were 25 sub-districts in Minahasa district. The data collection method uses library research techniques and documentation techniques, and the technique for processing data uses multiple linear regression. The results of this study indicate that the dependent variable simultaneously influences land and building tax (PBB) revenues with the results of Fcount> Ftable (18.594> 2.736) with a significance value of 0.000 (0.0%) <5%. Partially the results of this study show that partially the land layout has no significant effect with the value of tcount <ttable (1.802 <1.994) with a significance level of 0.076> 0.05. With the results of Ajusted R2 of 0.416, it means that the independent variable in this study explains the dependent variable of 41.6% while the remaining 58.4% is explained by other variables outside of this study.  

scholarly journals MODEL REGRESI LINIER DENGAN METODE BACKWARD DAN FORWARD

2019 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
M. S. Noya Van Delsen ◽  
H. W. M. Patty ◽  
N. Lalurmele
Keyword(s):  
Local Government ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Domestic Product ◽  
Local Taxes ◽  
Model Based ◽  
The Government

Obligations are undertaken by the community before claiming their rights as citizens one of them is by paying taxes. Local tax is a compulsory fee imposed by the local government that is forced and used as much as possible to run the government. In determining the regression model, the factors involved by local taxes are Gross Regional Domestic Product (GRDP), Inflation and Population. The discussion in this research is about the comparison of a backward and forward method on multiple linear regression, and make a model with the program expected to be used to model the regression model on local taxes appropriately. Comparison of a regression model based on the GRDP in Ambon method backward and forward processed with the help of SPSS produce a model of the same, that is . The regression model generated by the method backward and forward involves only one variable (GRDP) with the value of R2 the same is equal to, 0,972 or 97.2%. So there is no difference between the regression model using either method backward or forward.

scholarly journals ANALISIS PENGARUH INFLASI, PRODUK DOMESTIK BRUTO (PDB), DAN NILAI TUKAR TERHADAP TABUNGAN MUDHARABAH PADA BANK UMUM SYARIAH (PERIODE 2013-2017)

2019 ◽  
Vol 8 (2) ◽  
pp. 138
Author(s):  
Rita Nur Wahyuningrum ◽  
Aan Zainul Anwar
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Multiple Linear Regression ◽  
Time Series Data ◽  
Domestic Product ◽  
Series Data ◽  
Islamic Banking ◽  
Central Statistics

<p>This study aims to analyze the effect of inflation, gross domestic product (GDP) and rupiah exchange rate on Mudharabah savings in Islamic banking in Indonesia. The data used is time series data for the period March 2013 to September 2017, which was published by Bank Indonesia from the Islamic Banking Statistics Report and the Central Statistics Agency. The technique of analyzing the research is qualitative with the method of Multiple Linear Regression. The results of this study indicate that simultaneously the Inflation, Gross Domestic Product (GDP) and Exchange Rate variables together have a significant effect on Mudharabah Savings. While partially only the Exchange Rate variable has a significant effect on Mudharabah Savings. Inflation Variables and Gross Domestic Product (GDP) have no significant effect on Mudharabah Savings.</p><p> </p><p>Keyword: inflation, gross domestic product, exchange rate, mudharabah saving</p>

The Effect of Farmers Characteristics on the Productivity of Chili Farming in Moolo Village, Batukara Sub District, Muna District

2021 ◽  
Vol 6 (2) ◽  
pp. 53
Author(s):  
Hasriati Hasriati ◽  
Awaluddin Hamzah ◽  
Salahuddin Salahuddin
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Agricultural Productivity ◽  
Multiple Linear Regression Analysis ◽  
Entire Population ◽  
Land Area

This research was conducted in Moolo Village, Batukara Sub District, Muna District. This study aimed to determine the effect of farmer characteristics on the productivity of chili in Moolo Village, Batukara Sub District, Muna District. This research was conducted from February to July 2020. The population in this study was 28 farmers. Sampling in this study uses the census method, where the researcher takes the entire population of chili farmers in Moolo Village. The analysis used in this study is to use multiple linear regression analysis. Based on the multiple linear regression analysis results, it is known that the variables of land area, production, and labor have a significant effect on the agricultural productivity of chili.

MEKANISASI USAHATANI PADI DI KECAMATAN SANANWETAN KOTA BLITAR

2020 ◽  
Vol 21 (1) ◽  
pp. 20-28
Author(s):  
Cristina Ratnawati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Variable Cost ◽  
Rice Farming ◽  
Land Area ◽  
Rice Farmers ◽  
Group Members ◽  
Labor Requirements

Mechanization is one form of technology adoption to improve yields in rice farming. The aims of the research to determine the use of agricultural mechanization and its impact on rice farming in Sananwetan Sub-District, Blitar City expected to improve the standard of living and welfare of its group members. The number of samples taken was 50 rice farmers in Sananwetan Sub-District, Blitar City, chosen by using proportional random sampling. Data analysis using the Mann-Whitney Test and the Multiple Linear Regression Cobb Douglas Model. From the results of interviews in this study show that the use of the mechanization of rice farming in Sananwetan Sub-District, Blitar City is still not optimal. This was due to farmers' perceptions of the unsatisfactory results of agricultural machinery performance, a sense of humanity to 'farm laborers', narrow land area and insufficient availability of farm machinery. While from the results of Mann Whitney's test show that pesticide use and labor requirements were smaller and differed significantly in the use of full mechanization rather than partial mechanization. Other than that, the variable cost of the harvest is lower in the use of full mechanization and is significantly different compared to using the mechanism partially. Rice productivity in full mechanization was 782.15 kg / 1000m2 while partial mechanization was 682.87 kg / 1000m2. For farmers' income in full mechanization is IDR. 1,153,407, - per 1000 m2, in the partial mechanization of IDR. 1,590,574, - per 1000m2. From Cobb Douglas model multiple linear regression analysis found that land area (m2), seed costs and the use of mechanization had a significant effect on the income of rice farming in Sananwetan District, Blitar City.

scholarly journals The influence of BDS on access to finance of SMEs in Tanzania

2019 ◽  
Author(s):  
lwidiko Badi ◽  
Esther Ishengoma ◽  
Baisi Mutayoba
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Support Services ◽  
Agricultural Sector ◽  
Likert Scale ◽  
Access To Finance ◽  
Analyse Data ◽  
Strongly Agree

Data were corrected from SMEs that received finance through the support of Private Agricultural Sector Support(PASS) a BDS provider. BDS support services that were investigated includes Training, Business linkages and Guarantees. The questions were put into likert scale from 1 to 5 where by 1 strongly disagree and 5 strongly agree. The multiple linear regression was applied to analyse data.

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