scholarly journals The Efficiency of Farmers Group Association on Strengthening The Institutions of Community Food Distribution Program Stage in Yogyakarta Special Region 2014

2017 ◽  
Vol 2 (1) ◽  
pp. 035
Author(s):  
Eny Ivan's ◽  
Jangkung Handoyo Mulyo ◽  
Dwidjono Hadi Darwanto
Keyword(s):  
Secondary Data ◽  
Food Distribution ◽  
Least Square ◽  
Data Envelopment ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
The Government ◽  
Agriculture And Food ◽  
Group Association ◽  
Special Region

In protecting and empowering the farmers, farmers group, and farmers group association (Gapoktan) from falling prices of grain and rice at harvest time and food accessibility problems, the government through the Ministry of Agriculture and Food Security Agency implemented the Strengthening the Institutions of Community Food Distribution Program (Strengthening-LDPM). This research was aimed to analyse the level of efficiency and to identify factors influencing the efficiency of Gapoktan in implementing the Strengthening-LDPM by involving 40 Gapoktan post-independence. The data used in this research were primary and secondary data, drawn from stockopname reports in 2014. This research used DEA (Data Envelopment Analysis) analysis, assuming that CRS (Constant Return to Scale) and VRS (Variable Return to Scale) using output-oriented assumptions. In addition, factors affecting the efficiency were analysed using multiple regression OLS (Ordinary Least Square). Based on DEA-CRS approach, as much as 37.5% Gapoktan were efficient and 62.5% Gapoktan were inefficient. Whereas with the approach of the DEA-VRS, 50% Gapoktan were efficient and 50% Gapoktan were inefficient. The average age of Gapoktan board, total volume of grain or rice sales, total volume of food reserve, and total loan interest affect significantly in increasing the efficiency of Gapoktan in running the strengthening-LDPM Program.

scholarly journals Pengaruh Penyesuaian Harga Jual Bahan Bakar Minyak (BBM) Tehadap Konsumsi BBM dan Inflasi

2020 ◽  
Vol 4 (2) ◽  
pp. 165-182
Author(s):  
Aep soleh Soleh
Keyword(s):  
Inflation Rate ◽  
Secondary Data ◽  
Mineral Resources ◽  
Substitution Effect ◽  
Least Square ◽  
Fuel Price ◽  
Ordinary Least Square ◽  
Price Increases ◽  
The Government ◽  
The Impact

This study investigates the impact of fuel price adjusment on changes in fuel consumption and inflation in Indonesia. This study uses secondary data obtained from the Ministry of Energy and Mineral Resources, the Ministry of Finance, the Ministry of Trade, Bank Indonesia, the Central Bureau of Statistics (BPS), and PT Pertamina (Persero) from 2006 to 2016 and analyzed by using Ordinary Least Square (OLS) method. Research showed, if the government increases Premium Gasoline's price by 10%, in average its consumption would decrease around 2,99 %. However, if the Pertamax Gasoline's price increases, the consumption of Premium Gasoline would also increase due to substitution effect. Every 10% increase in Subsidized Diesel's price, in average its consumption would decrease around 4,80 % and vice versa. However, if the Pertamina dex's price increases, the consumption of Subsidized Diesel would also increase due to substitution effect. Moreover, IDR1.000/L increase in Premium Gasoline's Price would contribute 1,10 % to the inflation rate. On the other hand, increase in Subsidized Diesel's price does not contribute to the inflation rate.

scholarly journals Analysis of Factors Affecting the Demand of Chicken Egg’s in the Traditional Market of Medan City

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Dwi Andini Puspita Sari br Sinaga ◽  
Armyn Hakim Daulay ◽  
Edhy Mirwandhono ◽  
Sayed Umar ◽  
Iskandar Sembiring
Keyword(s):  
Least Squares Method ◽  
Secondary Data ◽  
Least Square ◽  
Primary Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
On Demand ◽  
Chicken Egg ◽  
Traditional Market ◽  
Chicken Eggs

The development of the society resulting for animal protein needed such as chicken egg’s increased and affect the demand for eggs in Medan. Therefore, it is necessary to do research to know the factors that influence the demand of chicken egg in traditional market of Medan city at consumer level by using Ordinary Least Square (OLS) method or least squares method with SPSS 22.0 tool. This study was conducted from May to June 2017. This study used primary data obtained from observations and interviews of respondents. The location of the research is determined purposively and the respondent determination by accidental method. Primary data was obtained from 90 consumers of chicken eggs and added with secondary data from government agencies. Then it was analyzed by multiple linear analysis with 5 demand variables namely, the number of dependents, education, income, egg price of chicken, and age. The results showed that all variables simultaneously had a significant effect on demand. Partially only variable of dependent which have real effect to demand of chicken egg of race. So it can be concluded that the demand for eggs in Medan is only influenced by the number of dependents

scholarly journals Analisis Pertumbuhan Ekonomi Daerah Provinsi Jambi

2018 ◽  
Vol 9 (1) ◽  
pp. 22
Author(s):  
Nurdin Nurdin
Keyword(s):  
Economic Growth ◽  
Capital Expenditure ◽  
Secondary Data ◽  
Regression Equation ◽  
Least Square ◽  
Analysis Tool ◽  
Working Population ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Investment Capital

This study uses secondary data collected by the object of research in Jambi Province in the form of factors affecting the economic growth of Jambi Province sourced from the Central Bureau of Statistics (BPS). Data were collected during the period 2004 to 2015. The purpose of this study is to analyze and know what factors affect the economic growth of Jambi Province period 2004-2015. The analytical tool used is this research using econometric analysis tool with Ordinary Least Square (OLS) method with multiple linear regression equation through the aid of SPSS software program. 21:00. Based on the discussion of data analysis results in this study, it can be concluded the result of R-squared calculation shown in the above equation obtained R2 value of 0.989. This shows that about 98.90 percent of the upturned economic growth (Yt) in Jambi Province is influenced by investment variable (X1t), capital expenditure (X2t), working population (X3t), unemployment (X4t) and poverty (X5t). While the remaining 1.10 percent, explained by other variables that are not included into the regression equation. Keywords: Economic Growth, Investment, Capital Expenditure, Working Population, Unemployment And Poverty

scholarly journals Agricultural Sub-Sectors Performance: An Analysis of Sector-Wise Share in Agriculture GDP of Pakistan

2016 ◽  
Vol 8 (2) ◽  
pp. 156 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Jiang Yuansheng ◽  
Habibullah Magsi
Keyword(s):  
Secondary Data ◽  
Least Square ◽  
Model Parameters ◽  
Ordinary Least Square ◽  
Empirical Results ◽  
Independent Variables ◽  
Minor Crops ◽  
The Government

This study focused on the agricultural sub-sectors performance: an analysis of sector-wise share in agriculture GDP in Pakistan by using secondary data from 1998 to 2015. Ordinary Least Square (OLS); an econometric method was applied to estimate the model parameters. For this purpose the study considered dependent variable of agriculture GDP and several independent variables were contain major, minor crops, livestock and forestry. The empirical results indicate that agricultural sub-sectors contribute positively and significantly in the agriculture GDP. However, forestry sub-sector had expected sign but the variable was not significant. In agriculture, forestry sub-sector share was considered very poor compared with other sub-sectors could be due to less attention paid from the government. The results suggest that the Government of Pakistan should make some intervention in the agricultural sub-sectors by introducing innovative agriculture technologies that could improve the sub-sectors share in the overall agriculture GDP.

scholarly journals Pengaruh Penderita Penyakit Berbahaya,Kemiskinan, dan Pengangguran di Indonesia terhadap Permintaan BPJS Kesehatan

2019 ◽  
Author(s):  
Ade Faisal Fahroez ◽  
Estro Sihaloho
Keyword(s):  
Secondary Data ◽  
Government Agency ◽  
Regression Method ◽  
Least Square ◽  
Tuberculosis Patients ◽  
Ordinary Least Square ◽  
The Public ◽  
Multiple Regression Method ◽  
The Government ◽  
The Many

Social Security in Indonesia is managed by Badan Penyelenggara Jaminan Kesehatan or BPJS Kesehatan, BPJS Kesehatan is a government agency tasked with managing contributions or funds from the public to ensure their health. In 2017 the number of participants BPJS Kesehatan as many as 176,738,998 people, of which 99,044,288 people, their contributions in the form of premiums paid by the government and the other paid financed by institutions where they work or pay independently. This indicates that as many as 56.1% of them are considered not able to pay dues independently, and are considered a poor society. Of the many participants BPJS Kesehatan, as much as 1.3% are people with dangerous diseases (Coronary Heart, TBC, Cancer, and AIDS). The purpose this paper is to find out how big the influence of poverty, unemployment, patients with coronary heart disease, tuberculosis patients, people with AIDS disease, and cancer patients to the number of participants BPJS Kesehatan. The method used in this research is multiple regression method using OLS (ordinary Least Square) model by taking secondary data from related institutions. From the data obtained, it turns out all the mentioned variables have a positive correlation to the increase of health insurance participants through BPJS Kesehatan.

scholarly journals Analysis of Factors Affecting Islamic Insurance Profitability (Case Study Of Sinar Mas Islamic Insurance Period 2011-2017)

2019 ◽  
Vol 2 (2) ◽  
pp. 234-251
Author(s):  
Siti Nurbaya ◽  
Azhar Alam
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Least Square ◽  
Series Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Total Investment ◽  
Considerable Impact ◽  
Premium Income ◽  
Islamic Insurance

Profitability is one benchmark to show a company operational performance. Various factors influence the amount of profitability. This research aims to analyze the influence of the amount of premium income, total investment, claims expense and operational costs on the profitability gained during the period 2011-2017. This paper conducts multiple linear analysis, namely OLS (Ordinary Least Square) with secondary data in the form of time-series data. The results of the t-test indicate that the claims expense variable has a negative and significant effect. Meanwhile, the operational cost variable has a positive and significant impact. On the contrary, the premium variable and the amount of investment both have a positive but not significant effect. Moreover, the results of the F test show that the variables of premium, investment, claims expense and operating costs have a considerable impact on the profitability of Sinar Mas Islamic Insurance.

scholarly journals Analisis peranan usaha kerajinan rumah tangga dalam rangka penyerapan tenaga kerja dan membangun masyarakat ekonomi kecil di Kabupaten Bantul

2020 ◽  
Vol 15 (1) ◽  
pp. 1-20
Author(s):  
Susianti Susianti
Keyword(s):  
Raw Materials ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Least Square ◽  
Primary Data ◽  
Economic Community ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Main Work

This study aims to analyze the role of folk/household handicraft businesses in the context of employment and building a small economic community through the analysis of factors affecting the income of household craftsmen in the Bantul Regency. Problems that are still encountered in the household handicraft business are related to business activities carried out traditionally and the scale of business is still limited. So this has an impact on the amount of product produced is still limited, and indirectly the level of income is still low. To increase production efforts means the factors that support it are needed. Data sources used are primary data and secondary data. The quantitative analysis used is multiple regression analysis with the Ordinary Least Square (OLS) method. Based on the results of descriptive analysis, the main reason that encourages the craftsmen to run a household handicraft business in Bantul Regency is the main work to obtain and add income to meet their needs. And the household handicraft business plays a role in employment in Bantul Regency by 13.69%. Meanwhile, based on the regression results, the variable of business capital and raw materials have positive and significant coefficients. Where business capital is the variable that has the most influence on the income of craftsmen household crafts in Bantul Regency.

scholarly journals DOMINANT FACTORS AFFECTING CAPITAL REALIZATION IN SOUTHEAST SULAWESI

2018 ◽  
Vol 16 (1) ◽  
pp. 13
Author(s):  
Muhamad Armawaddin ◽  
Ahmad Ahmad
Keyword(s):  
Capital Expenditure ◽  
Secondary Data ◽  
Least Square ◽  
Capital Expenditures ◽  
Partial Regression ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Local Revenue ◽  
Regression Test ◽  
Equity Funds

This study aims to determine the dominant factors that affect the realization of capital expenditure in districts/cities in Southeast Sulawesi. This type of data used is secondary data on local revenue, equity funds, personnel expenditures, gross regional domestic product, residual funding, population and capital expenditures during 2010-2016. The analysis uses regression analysis of panel data from 12 districts / cities by Ordinary Least Square (OLS) method. The result of the research shows that the dominant factors affecting capital expenditure realization is balance fund. The other result is PAD, personnel expenditure, GRDP which have a significant effect on capital expenditure realization, while the population is not significant. SILPA has significant effect to capital expenditure with partial regression test but not significant with multiple regression test. 

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI TINGKAT PEMBELIAN MINYAK GORENG CURAH PADA RUMAH TANGGA DI KOTA BENGKULU

2017 ◽  
Vol 16 (1) ◽  
pp. 97-108
Author(s):  
Putry Anggraini ◽  
Basuki Sigit Priyono ◽  
Melly Suryanty
Keyword(s):  
Secondary Data ◽  
Research Area ◽  
Least Square ◽  
Primary Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Household Spending ◽  
Cooking Oil ◽  
Result Show ◽  
The City

The research to aimed  quantify the level of purchases of cooking oil in households in the city of Bengkulu and to analyze the factors affecting the level of purchases of cooking oil in households in the city of Bengkulu. The research area decided by purposive. The data that use in this research are primary data and secondary data. Analyzed method use Multiple Linear Regresion derived by the square of the least square ordinary (Ordinary Least Square / OLS). The result show : The average purchase of cooking oil in Bengkulu City every month of 6.6 kg / household / month. Household income positive significant effect on the purchase of cooking oil in the city of Bengkulu, and number of branded cooking oil purchases negative significant effect on the purchase of cooking oil in the city of Bengkulu. However, of age, education, household spending, and perceptions of the cooking oil products did not significantly influence the purchase of cooking oil in the city of Bengkulu.Keywords: Purchase, cooking oil, household

scholarly journals Determinan dan Trend Kemiskinan di Kabupaten Wonosobo Provinsi Jawa Tengah

2020 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Farida Nur Isnaini ◽  
Abdul Aziz Ahmad ◽  
Suharno Suharno
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Minimum Wages ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Ordinary Least Square ◽  
The Government ◽  
Observation Period

This study aims to analyze the effect of population, education, regional Minimum Wages, inflation, and Gross Regional Domestic Product on poverty and analyze poverty trends in Wonosobo Regency. This study uses secondary data in the form of time series data with an observation period of 2002-2017 and the research method is multiple linear regression with the Ordinary Least Square model. The analysis shows that education, regional minimum wages and gross regional domestic product have a negative and significant impact on poverty in Wonosobo Regency. Population growth, and inflation does not have a significant effect on poverty in Wonosobo Regency. In addition, the future poverty trend of Wonosobo Regency is negative. These findings imply the first need for skills and expertise training programs in improving the quality of education. Second, the government must increase regional minimum wages, so that people can meet their daily needs. The government needs to increase economic growth in all sectors of the economy by using its potential.

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