scholarly journals Masalah dan Solusi Model Pengembangan Pembiayaan Pertanian dari Aspek Keuangan Syari’ah

2017 ◽  
Vol 12 (2) ◽  
pp. 91-100
Author(s):  
Sri Maulida ◽  
Ahmad Yunani
Keyword(s):  
Linear Regression Analysis ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Literature Study ◽  
Conceptual Approach ◽  
Ordinary Least Square ◽  
Agriculture Sector ◽  
Problems And Solutions ◽  
Negative Effect

This study aims to discuss the problems and solutions in terms of sharia financial aspects of the development of agricultural financing. This study used multiple linear regression analysis with ordinary least square method (OLS) combined with a descriptive explorative approach and developed by using literature review approach or literature study. The theory or conceptual approach is done by referring from several sources, such as books, scientific journals, and the internet. All existing idea descriptions are combined into a single frame of thought. The results showed that the variable of problem financing in agriculture sector had a significant negative effect on the profitability of sharia banking, therefore the application of financing concept for farmers through Sharia Finance Cooperative or Baitul Maal bi Tamwil (BMT) using Bai 'Salam".

scholarly journals PENGARUH PENDIDIKAN, JUMLAH JAM KERJA, UMUR TERHADAP UPAH TENAGA KERJA DISABILITAS DI SUMATERA BARAT

2019 ◽  
Vol 1 (3) ◽  
pp. 863
Author(s):  
Salwa Nabila Putri ◽  
Ariusni Ariusni
Keyword(s):  
Work Experience ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Research Use ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
Disabled Workers ◽  
Positive Effect ◽  
Research Show

This study aims to find out determine of wages for disabled workers in Sumatera Barat. This research use cross section with 481 samples. The variables used are wage for disabled workers,education, number of hours worked, age, work experience, type of work. This research’s methods used Ordinary Least Square (OLS) Multiple linear regression analysis. This research show education, number of work, work experience  had significanlly positive effect on wage for disabled workers in Sumatera Barat. Type of work has significanlly negative effect on wage for disabled worker, age had nonsignificanly positive effect on wage for disabled.

scholarly journals Analysis of Labor Absorption (Study in Kerupuk Sanjai Small and Medium Enterprises in Kabupaten Lima Puluh Kota)

2019 ◽  
Vol 2 (2) ◽  
pp. 68-75
Author(s):  
Nelvia Iryani ◽  
Syaiful Anwar
Keyword(s):  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Field Research ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Economic Activities ◽  
Ordinary Least Square ◽  
Production Value ◽  
Medium Enterprises

Labor is a very important asset in economic activities, but often the number of workers exceeds the available employment capacity, so it is very necessary to analyze the factors that affect employment. This study aims to estimate the relationship between wage, capital, production value to the amount of employment in Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota This type of research is field research and use questioner to 100 respondens . The analytical tool used is multiple linear regression analysis with OLS (Ordinary Least Square) method and data processing using SPSS VR.21 software. The results of the study show that  all independent variabels has a  significant effect on labor absorption in Kerupuk Sanjai SMEs in Kabupaten Limapuluh Kota. capital is the variable that has the most influence in the absorption of labor in the Kerupuk Sanjai Small and Medium Enterprises (SMEs) in Kabupaten Limapuluh Kota.

scholarly journals Pengaruh FED rate, inflasi, dan indeks NIKKEI 225 terhadap IHSG di Indonesia (2016-2017)

2019 ◽  
Vol 7 (3) ◽  
pp. 173-184
Author(s):  
Joventus Partogi Silaen Joventus ◽  
Haryadi Haryadi ◽  
Emilia Emilia
Keyword(s):  
Stock Price ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Analysis Method ◽  
Monthly Data ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
Research Period

This study aims to analyze the influence and look at the Fed Rate, Inflation in Indonesia, and the NIKKEI 225 Index on the Composite Stock Price Index (JCI). The data used in this study is secondary data obtained from Bank Indonesia, Investing.com, library sources, journals, and other scientific articles. The analytical method used in this study is the multiple linear regression analysis method using the Ordinary Least Square (OLS) method. Data is processed using software using monthly data with the research period from January 2016-December 2017 sourced from the internet, scientific journals, and books. The results of this study indicate that partially the FED Rate variable has a negative effect on the JCI, Inflation has a negative effect on the JCI, and the NIKKEI 225 Index has no effect on the NIKKEI 225 Index. Meanwhile, simultaneously all variables affect the JCI. Keywords: Fed Rate, Inflation, NIKKEI 225 Index, IDX

PENGARUH PENANAMAN MODAL ASING, PERDAGANGAN INTERNASIONAL, GDP PER KAPITA, SEKTOR PERTANIAN, DAN URBANISASI TERHADAP PENDUDUK BEKERJA DI INDONESIA

2017 ◽  
Vol 21 (2) ◽  
pp. 85-95
Author(s):  
John Marcell Rumondor
Keyword(s):  
International Trade ◽  
Gross Domestic Product ◽  
Foreign Investment ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Working Population ◽  
Ordinary Least Square ◽  
Per Capita

This research aims to understand the influenceof foreign investment, international trade, Gross Domestic Product per capita, agriculture and urbanization of the working population. Country used as an object in this research is Indonesia. This research uses the method of analysis Ordinary Least Square (OLS) and the multiple linear regression analysis method. Research period are from 1997 – 2012. The results showed that the international trade, Gross Domestic Product per capita, agriculture and urbanization have significantpositive influenceon the population work in Indonesia, but foreign investment has no significanteffect on the working population in Indonesia.

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 PENGARUH PERTUMBUHAN EKONOMI TERHADAP KESEMPATAN KERJA DI PROVINSI SULAWESI TENGGARA

2018 ◽  
Vol 6 (2) ◽  
pp. 54
Author(s):  
Muhammad Nur Afiat
Keyword(s):  
Economic Growth ◽  
Quantitative Research ◽  
Time Series Data ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Least Square Method ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Series Data ◽  
Employment Opportunities

This study was conducted with the aim to determine the effect of Economic Growth Rate on Employment Opportunities in Southeast Sulawesi Province 2000-2015. This research is a type of Quantitative research using secondary data in the form of time series data, ie from 2000-2015. Data source was obtained from Central Bureau of Statistics (BPS) and Bank Indonesia of Southeast Sulawesi Province. This study also uses multiple linear regression analysis tools with ordinary least square method (OLS) and then processed with application Eviews 8.0. The results of the study show that Economic Growth has a significant influence on Employment Opportunities in Southeast Sulawesi Province 2000-2015.

scholarly journals Faktor-faktor yang Mempengaruhi Volume Ekspor Kopi dari Kabupaten Aceh Tengah ke Amerika Serikat

2021 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Afriamah Afriamah ◽  
Zulkarnain Lubis ◽  
Mitra Musika Lubis
Keyword(s):  
United States ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
The United States ◽  
Least Square ◽  
Export Demand ◽  
Ordinary Least Square

Indonesia is one of the world's largest coffee producers, it can be seen from the amount of exports from Indonesia for coffee export. In the past few years, several companies have carried out massive expansion to get Gayo coffee from Central Aceh Regency and Bener Meriah. The purpose of this study was to analysis what factors influence the volume of Gayo coffee exports from Central Aceh Regency to the United States. The data collection method using the documentary method is the data obtained and viewed by the document in accordance with the variables in the research model in the period 2013-2017. Data collected is secondary data. The analytical method used is multiple linear regression with the method used is the Ordinary Least Square (OLS) Method. From the research using multiple linear regression analysis obtained that variables which have significant effect to the export demand of Gayo Coffee from the United States is Global Coffee Prices. While the production of domestic Gayo coffee, the exchange rate of dollars against the rupiah and the price of foreign Gayo coffee are not significant to the demand for export of Gayo coffee to the United States.

Analisis Faktor Pencetus Sisa Hasil Usaha pada Koperasi Sisa Hasil Usaha Se-Kabupaten Jepara

2021 ◽  
Vol 23 (1) ◽  
pp. 9-20
Author(s):  
Kiki Wahyuni ◽  
Aida Nahar
Keyword(s):  
Regression Analysis ◽  
Small And Medium Enterprises ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Literature Study ◽  
Test Analysis ◽  
Variable Volume ◽  
Negative Effect ◽  
Medium Enterprises ◽  
Positive Effect

The purpose of this study is to analyze the factors that trigger SHU in multi-business cooperatives in Jepara. The object of this research is the multi-business cooperative in Jepara district. The method of data collection in this study uses the method of literature study and documentation carried out at the Department of Cooperatives, small and medium enterprises, Manpower and Transmigration, Jepara. Data were analyzed using multiple linear regression analysis. The results of this study indicate that the factors that trigger SHU are the number of members, cooperative assets, business volume, own capital and external capital. The results of the t-test analysis show that the number of members, cooperative assets, own capital and outside capital have a positive effect on SHU, while the variable volume of business has a negative effect on the SHU.

scholarly journals The Analysis of the Effect of Determinant Factors of Palm Oil Plantation Sector on Agricultural Sector Growth in North Sumatera

2020 ◽  
Vol 3 (2) ◽  
pp. 1083-1094
Author(s):  
Ali Sandy Hasibuan ◽  
Fitrawaty Fitrawaty ◽  
M. Fitri Rahmadana
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Agricultural Sector ◽  
Secondary Data ◽  
Least Square Method ◽  
Least Square ◽  
Estimation Model ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
North Sumatra

This study aims to analyze the influence of the area of oil palm plantations, oil palm production, and the number of the agricultural sector workforce on the agricultural sector PDRB in North Sumatra province. The data used are secondary data sourced from BPS North Sumatra province, namely PDRB variable in the agricultural sector, area of oil palm, palm oil production and the number of agricultural sector workforce in North Sumatra province in time series from 2008 to.d. 2017 in five districts namely, Asahan, Langkat, Labuhanbatu Utara, Labuhanbatu Selatan and Labuhan Batu districts. Data analysis was performed using the OLS (Ordinary Least Square) method with a panel data regression estimation model using the help of Eviews 10. The results of this study simultaneously showed that changes in the independent variables of land area, production and the total workforce of the agricultural sector together influenced Agricultural Sector PDRB variable significantly. While partially concluded that the variable area of land and oil palm production had a positive and significant effect on the PDRB of the agricultural sector in North Sumatra province, while the variable labor force in the agricultural sector had a negative effect on the PDRB of the agricultural sector in North Sumatra province.

scholarly journals ANALISIS DETERMINAN PENDAPATAN PEDAGANG PASAR BANJARSARI KOTA PEKALONGAN PASCA KEBAKARAN

2020 ◽  
Vol 2 (1) ◽  
pp. 1-8
Author(s):  
Nur Elitami Insan ◽  
Arif Pujiyono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Working Hours ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Business Location ◽  
Dominant Influence

The income of traders in the Banjarsari Emergency Market Pekalongan is influenced by various factors, one of which is the trader resources (capital, working hours, business length, education, and business location). This study aims to determine the effect of capital, working hours, business length, education, and business location on the income of traders in the Banjarsari Emergency Market in Pekalongan. There as 95 traders of Banjarsari Emergency Market in Pekalongan were taken as samples with purposive sampling and accidental sampling. This study uses multiple linear regression analysis tools with the Ordinary Least Square (OLS) method. The results showed that capital, length of business, and location of business affect the income of traders. While working hours and education have not affected the income of the trader. Capital provides the most dominant influence on income trader

Sign in / Sign up

Export Citation Format

Share Document