scholarly journals PENGARUH PENYALURAN DANA BANK KONVENSIONAL DAN BANK SYARIAH TERHADAP PRODUK DOMESTIK BRUTO DI INDONESIA

Media Ekonomi ◽  
2016 ◽  
Vol 24 (2) ◽  
pp. 127
Author(s):  
Sinta Rani Siti Sarah ◽  
Sumiyarti ,
Keyword(s):  
Linear Regression ◽  
Gross Domestic Product ◽  
Least Square Method ◽  
Least Square ◽  
Domestic Product ◽  
Islamic Banks ◽  
Ordinary Least Square ◽  
Analysis Technique ◽  
Using Data ◽  
Conventional Banks

<p><em>This study aims to analyse the distribution of Islamic banks and the distribution of conventional bank funds to the gross domestic product in Indonesia. The analysis was carried out using data scanned by the Central Statistics Agency (BPS) and Bank Indonesia for 2004: 01-2014: 04 period. The analysis technique used in this study was Multiple Linear Regression using the OLS (Ordinary Least Square) method. The results showed that the distribution of Islamic banks had a positive and not significant effect on the growth of Gross Domestic Product (GDP), while the distribution of funds from conventional banks and Islamic banks was significant towards Gross Domestic Product.</em></p>

scholarly journals PENGARUH PENERIMAAN REMITANSI TERHADAP PENGENTASAN KEMISKINAN DI INDONESIA

2020 ◽  
Vol 3 (1) ◽  
pp. 48-54
Author(s):  
Misdawati Misdawati ◽  
Syahrituah Siregar
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
World Bank ◽  
Poverty Alleviation ◽  
Regression Method ◽  
Least Square ◽  
Domestic Product ◽  
Linear Regression Method ◽  
Ordinary Least Square

Abstract—Remittance is a source of external finance for developing countries. This research aims to determine the remittance influence on poverty alleviation in Indonesia, as well as to determine the influence of the control variables on poverty alleviation which is                  unemployment and gross domestic product. This study uses a descriptive quantitative       approach, using time series data from 1999 to 2018 obtained From the World Bank, BPS, Bank Indonesia and BNP2TKI. Data analysis techniques using double linear regression method (multiple linear Regression method) with smallest squared Method (Ordinary Least Square).  The results showed that remittance had significant negative correlation on poverty alleviation in Indonesia by 3,08%. Unemployment has a significant positive impact on      poverty alleviation, and gross domestic product has a significant negative impact on poverty alleviation in Indonesia. Still low delivery remittance that enter Indonesia due to low levels of education that has migrants, low wages, and expensive remittance shipping costs through financial institutions. Keywords: Remittance, Poverty, Indonesia, OLS (DEA)   Abstrak - Remitansi menjadi sumber keuangan eksternal bagi negara berkembang. Penelitian ini bertujuan untuk mengetahui pengaruh remitansi terhadap pengentasan kemiskinan di   Indonesia, serta  untuk mengetahui pengaruh dari variabel kontrol terhadap pengentasan  kemiskinan  yaitu Pengangguran dan Produk Domestik Bruto.  Penelitian ini menggunakan pendekatan kuantitatif deskriptif, menggunakan data time series dari tahun 1999 hingga tahun 2018 yang diperoleh dari World Bank, Badan Pusat Statistik, Bank Indonesia dan BNP2TKI. Teknik Analisis data menggunakan Metode Regresi Linier Berganda (Multiple Linier       Regression Method) dengan Metode Kuadrat Terkecil (Ordinary Least Square).  Hasil penelitian menunjukkan bahwa  Remitansi berpengaruh negatif signifikan terhadap           pengentasan kemiskinan di Indonesia sebesar 3,08 persen. Pengangguran berpengaruh positif signifikan terhadap pengentasan kemiskinan, dan Produk Domestik Bruto  berpengaruh negatif signifikan terhadap pengentasan kemiskinan di Indonesia. Masih rendahnya         pengiriman remitansi yang masuk ke Indonesia disebabkan karena  rendahnya tingkat       pendidikan yang   dimiliki migran, rendahnya tingkat upah, serta mahalnya biaya pengiriman remitansi melalui lembaga keuangan. Kata kunci: Remitansi, Kemiskinan, Indonesia, OLS    

scholarly journals Analisis determinan impor beras di Indonesia

2020 ◽  
Vol 8 (3) ◽  
pp. 135-142
Author(s):  
Muhammad Rizky Mulya ◽  
Haryadi Haryadi ◽  
Rahma Nurjanah
Keyword(s):  
Exchange Rate ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Least Square ◽  
Domestic Product ◽  
Ordinary Least Square ◽  
Population Exchange

This study aims to determine and analyze the development of a gross domestic product, population, rupiah exchange rate, inflation, and rice imports. In addition, to choose and investigate the effect of gross domestic product, people, rupiah exchange rate, inflation, and rice imports. The method used to analyze this research is descriptive quantitative. This study uses multiple linear regression analysis based on Ordinary Least Square (OLS). Based on the results of this study, the development of rice imports fluctuates every year. It tends to increase rice imports, gross domestic product fluctuates and tends to grow, the population increases every year, the rupiah exchange rate fluctuates, and inflation fluctuates every year and tends to decrease. The results of multiple linear regression show that the variables of gross domestic product, population, and exchange rate significantly affect rice imports in Indonesia. In contrast, the inflation variable is not substantial on rice imports in Indonesia. Keywords: Import rice, GDP, Total population, Exchange rate, Inflation.

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.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

scholarly journals Determinan Dana Pihak Ketiga Bank Umum Syariah Di Indonesia

2021 ◽  
Vol 2 (2) ◽  
pp. 226-236
Author(s):  
Dadang Husen Sobana ◽  
Ricky Hamzah ◽  
Sri Habibah
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Gross Domestic Product ◽  
Commercial Banks ◽  
Financial Stability ◽  
Research Method ◽  
Third Party ◽  
Domestic Product ◽  
Islamic Banks ◽  
Macroeconomic Conditions

Third-party funds at Islamic commercial banks in Indonesia fluctuated. The factors that determine the accumulation of third-party funds are essential for Islamic banks' financial stability and management. This study aims to show and describe the effect of gross domestic product and inflation on third-party funds partially and simultaneously. The research method used is descriptive-associative with a quantitative approach. The population used is Islamic commercial banks in Indonesia. Data analysis using multiple linear regression. The results show that gross domestic product and inflation partially affect third-party funds in Islamic commercial banks in Indonesia. Meanwhile, simultaneously gross domestic product and inflation have a significant effect with a contribution of 85.5% to third-party funds in Islamic commercial banks in Indonesia. The increase in third-party funds depends on Indonesia's macroeconomic conditions, the dominant macroeconomic influencing the collection of third-party funds in Islamic commercial banks 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 DETERMINANTS OF ISLAMIC BANKING PERFORMANCE: AN EMPIRICAL STUDY IN MALAYSIA (2007 TO 2016)

2019 ◽  
Vol 7 (6) ◽  
pp. 380-401 ◽  
Author(s):  
Lee Jun Quan ◽  
Suganthi Ramasamy ◽  
Devinaga Rasiah ◽  
Yuen Yee Yen ◽  
Shalini Devi Pillay
Keyword(s):  
Empirical Study ◽  
Gross Domestic Product ◽  
Credit Risk ◽  
Fixed Effect Model ◽  
Least Square ◽  
Capital Adequacy ◽  
Domestic Product ◽  
Islamic Banking ◽  
Ordinary Least Square ◽  
Effect Model

performance. Methodology: The methodology being used to analysis are an ordinary least square model (OLS) and fixed-effect model. The analysis was conducted in Malaysia for a period of 10 years from 2007 to2016. 10 Islamic banks in Malaysia were chosen to be tested for its performance. The study examines internal factors such as bank size, capital adequacy, liquidity, credit risk, and expense management and external factors such as Gross Domestic Product (GDP) and inflation effect on Islamic Bank’s performance in terms of return on asset and return on equity. Result: The findings showed that only capital adequacy and inflation significantly affect the Islamic bank’s performance. However, bank size, liquidity, credit risk, expense management, and Gross Domestic Product were found to be insignificantly affecting the Islamic bank’s performance. The analysis was carried out by applying ordinary least square model (OLS) regression and fixed-effect model. Applications: This research can be used for universities, teachers, and students. Novelty/Originality: In this research, the model of the Determinants of Islamic Banking Performance: An Empirical Study in Malaysia is presented in a comprehensive and complete manner.

scholarly journals The Effect Of Credit To The Inflation Rate Through Gross Domestic Product In Indonesia

2018 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Anas Iswanto Anwar ◽  
Ali Akbar
Keyword(s):  
Gross Domestic Product ◽  
Inflation Rate ◽  
Secondary Data ◽  
Least Square ◽  
Bank Credit ◽  
Domestic Product ◽  
Working Capital ◽  
Ordinary Least Square ◽  
Credit Channels ◽  
Transmission Of Monetary Policy

Credit markets are not always balanced because of unbalanced information and other causes. There are two credit channels that influence the transmission of monetary policy from finance to the real sector, namely bank credit channels that are more concerned with the behavior of banks that are more selective in credit selection because of asymmetric information.This study aims to determine the effect of credit that consists of investment credit, working capital credit and consumption credit to the inflation rate through Gross Domestic Product (GDP) in Indonesia. The overall data used in this study is secondary data from the result of systematic recording in the form of time series from 2007 to 2016 obtained from the Central Bureau of Statistics, Bank Indonesia Report and Indonesian Banking Statistics. Data were analyzed by using multiple regression with Ordinary Least Square (OLS) approach. Based on the results of the research, simultaneous credit has a positive and significant effect on inflation through GDP and partially found that investment credit and working capital credit have positive and significant effect to inflation through GDP, while consumption credit has positive and insignificant effect.

scholarly journals ANALISIS FAKTOR - FAKTOR YANG MEMPENGARUHI HARGA TANAH UNTUK PENGGUNAAN PERUMAHAN (STUDI KASUS: KECAMATAN BANYUMANIK)

2017 ◽  
Vol 5 (1) ◽  
pp. 57
Author(s):  
Triana Kurniwati ◽  
Bagio Mudakir
Keyword(s):  
Linear Regression ◽  
Linear Regression Model ◽  
Multiple Linear Regression Model ◽  
Least Square Method ◽  
Research Area ◽  
Least Square ◽  
City Center ◽  
Land Price ◽  
Ordinary Least Square ◽  
The City

Semarang city is densely populated that demand of settlement will increase continually, but land in city center is very limited and even it is scarce, therefore the land price which is placed in city center is high. That is why many inhabitant of Semarang city prefer to live in outskirts of the city. The shifting of land demand to the outskirts is also followed by increasing of land price in outskirts, it causes the land price in outskirts is uncontrolled.The research takes location in Banyumanik area. This research area consists of 7 districts, that are Jabungan, Pudak Payung, Banyumanik, Srondol Kulon, Pedalangan, Ngesrep, and Gedawang district. The sample total is one hundred (100). The data is analyzed by using multiple linear regression model with ordinary least square method (OLS).

scholarly journals ANALISIS REGRESI KOMPONEN UTAMA UNTUK MENGATASI MASALAH MULTIKOLINIERITAS DALAM ANALISIS REGRESI LINIER BERGANDA

2012 ◽  
Vol 6 (1) ◽  
pp. 31-40
Author(s):  
Gresyea L. Marcus ◽  
Henry J. Wattimanela ◽  
Yopi A. Lesnussa
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Least Square Method ◽  
Component Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Analysis Technique ◽  
Independent Variable ◽  
Very High

The climate in Ambon, are influenced by sea climate and season climate, cause of this island arrounded by sea, it is make very high rainfall intensity. A very high collinearity between independent variables, make the estimate can not rely be ordinary least square method so it market with not real regretion coefficient and the collinearity. Collinearity can be detected by linier correlation coefficient between independent variables and also with VIF way. Regretion principal component analysis is used to remove collinearity and all of independent variable into model, this analysis is regretion analysis technique wher eare combinated with principal component analysis technique. The object of this analysis is to simplify the variable by overcast it dimension, we can do it removes the correlation between coefficient by transformation. Regresion can help to solve this case rainfall in Ambon on 2010. So the colinearity to independent variables can be overcome and then we can get the best regretion rutes.

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