scholarly journals Analysis of the Effects of Economic Policy on Car Demand in Indonesia

2021 ◽  
Vol 4 (3) ◽  
pp. 76-82
Author(s):  
Moh. Zuhal Zainal

This study is aims to analyze and to find out the impact of economy policy for demand for cars in Indonesia. The variables consist of this study such as GDP per kapita, lenght of road, price of BBM, interest rate for credit consumption and demand for cars. This study use the secondary data through Badan Pusat Statistik analyzed by multiple linear regression and Eviews 8 program. The results showed that R Square value of 0.994, which means that 99% of demand for cars is jointly influenced by variables in the model. While the remaining is influenced by other factors outside the model. The partial result shows the GDP per kapita has not affect, lenght of road give a positive affect and significant, price BBM give a positive affect and significant, and interest rate of credit consumption has not affect to demand for cas in Indonesia during the periode of this study

2019 ◽  
Vol 3 (2) ◽  
pp. 104-113
Author(s):  
Imam Abrori ◽  
Siti Khobsoh

This study aims to identify and explain how the effect Inflation, Interest Rate Deposit, and Finance to Deposit Ratio Total Mudharabah deposits in Islamic banks. The method used is multiple linear regression. The object of research used in this research is PT. Bank Syariah Mandiri using secondary data from the publication of monthly financial statements starting from 2010-2014. The results showed that: The rate of inflation has a negative and significant effect on the amount of deposits Mudharabah. Furthermore, other results showed that the rate of interest did not affect positively and significantly to Total Deposit Mudharabah. While the results of Finance to Deposit Ratio has a positive and significant influence on the amount of deposits Mudharabah. The test is performed with a significance level of α = 0.1.


2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Siwi Indriyani

The research studied to determine the effect of The Inflation, and Interest Rate to Indonesia’s Economic Growth In Indonesia’s The Period 2005 – 2015. The data that used in this research is secondary data namely The Inflation, and Interest Rate which devired from the website of bank Indonesia and Badan Pusat Statistik (BPS). The method used is multiple linear regression. The regression of research results show that simultaneoust the inflation and Interest Rate does significant effect to Indonesia’s economic growth in the year 2005 – 2015.


2018 ◽  
Author(s):  
oktaviani ◽  
Muhammad Rivandi

The main factors affecting demand for credit are high and fixed interest rates that make it difficult for members to pay their loans and result credit given by KSU LKMA Kampung Solok Saiyo to be stuck. The purpose of this research is to know the effect of interest rate and bad credit on request of credit umkm at KSU LKMA Kampung Solok Saiyo. This research was conducted at KSU LKMA Kampung Solok Saiyo Nagari Muara Kiawai Gunung Tuleh District Pasaman Barat Regency. The type of data used in this study is secondary data sourced from credit reports contained in KSU LKMA Kampung Solok Saiyo with the number of samples of forty-eight. This data is analyzed by multiple linear regression method. From the results of this study found that interest rates and bad loans have a negative and significant effect on the demand for credit umkm in PasamanBarat.


Author(s):  
Agus Salihin

The purpose of this study was to determine the Impact of the 7-Day Reserve Repo Rate of Bank Indonesia and the Rupiah Exchange Rate on the Profitability of the 2017-2019 Banking Period ". This study uses quantitative methods with panel data model estimation models. This study uses secondary data in the form of monthly financial statements obtained from Bankside Bank Indonesia with the 2017-2019 time period. While the data analysis technique uses the Classic Assumption Test, multiple linear regression test with the help of the SPSS program. Based on the results of the analysis it can be explained that from the classic assumption test there are normally distributed data and there are no problems of multicollinearity and heteroscedasticity. While the results of multiple linear regression analysis can be explained that the 7-Day Reserve Repo Rate variable of Bank Indonesia and the Rupiah Exchange Rate has a Positive Effect on the Profitability of the 2017-2019 Banking Period either partially or simultaneously. As for the results of the test of the coefficient of determination of the 7-Day Reserve Repo Rate of Bank Indonesia and the Rupiah Exchange Rate, it can affect the Banking Profitability of 32.5% Keywords: 7-Day Reserve Repo Rate, Exchange Rate, Banking Profitability Tujuan penelitian ini untuk mengetahui Dampak 7- Day Reserve Repo Rate Bank Indonesia dan Nilai Tukar Rupiah Terhadap Profitabilitan Perbankan Priode 2017-2019”. Penelitian ini menggunakan metode kuantitatif dengan estimasi model regsegi data panel. Penelitian ini menggunakan data sekunder berupa Laporan Keuangan bulanan yang diperoleh dari Webside Bank Indonesia dengan priode waktu 2017-2019. Sedangkan teknik analisis data menggunakan Uji Asumsi Klasik, Uji regresi linier berganda dengan bantuan program SPSS. Berdasarkan hasil analisis dapat dijelaskan bahwa dari uji asumsi klasik terdapat data terdistribusi secara Normal dan tidak terdapat masalah Multikolinieritas dan Heteroskedastisitas. Sedangkan dari hasil analisis regresi linier berganda dapat di jelaskan bahwa variabel 7-Day Reserve Repo Rate Bank Indonesia dan Nilai Tukar Rupiah Berpengaruh Positif terhadap Profitabilitas Perbankan Priode 2017-2019 baik secara parsial maupun secara simultan. Adapaun dari hasil uji koefisien determinasi variabel 7-Day Reserve Repo Rate Bank Indonesia dan Nilai Tukar Rupiah dapat mempengaruhi Profitabilitas Perbankan sebesar 32,5%. Kata Kunci :7-Day Reserve Repo Rate, Kurs, Profitabilitas Perbankan


2020 ◽  
Vol 8 (2) ◽  
pp. 156
Author(s):  
Suharna Suharna

This study aims to obtain empirical evidence on the influence of inflation, rate of Bank Indonesia, and credit interest rate on non - performing SMEs credit loan at Commercial Banks. This study uses secondary data obtained from quarterly OJK reports and Bank Indonesia monthly reports for the period of 2014 - 2018. Multiple linear regression models are used to test the hypotheses of this study. It was found that the inflation rate and the rate of Bank Indonesia individually doesn't have a siignificant influence on non - performing SMEs credit loans. On the other hand, it was found that credit interest rate has a signifinicant influence on non - performing SMEs credit loans.


2018 ◽  
Vol 9 (2) ◽  
pp. 33-49
Author(s):  
Karina Harjanto

The purpose of this research is to examine the effect of company’s size, profitability, solvability, and the size of the accounting firm towards audit delay. The object in this research are property and real estate companies listed in Bursa Efek Indonesia (BEI) for the period 2013-2015. The sample is selected by purposive sampling method. There are 42 companies selected as sample. Data used in this research is a secondary data such as audited financial reports. Data analysis uses multiple linear regression. The result of this research shows that company’s size, profitability, and solvability have no influence on audit delay, while the size of accounting firm has significant positive influences on audit delay. The result also shows that company’s size, profitability, solvability, and the size of of the accounting firm simultaneously influence audit delay. Keywords: audit delay, company’s size, profitability, solvability, size the accounting firm


2018 ◽  
Vol 7 (4) ◽  
pp. 200-208
Author(s):  
Angga Hapsila

The research was conducted by the writer on BTM Mentari in sub districts rengat - indragiri upstream. District. The research phase lasting three months. This research study is to find savings, influence financing and capital to profit in the district btm mentari Indragiri upstream. This research used secondary data , writer process data by using multiple linear regression the it using spss ( statistic package for social scince ) 24 version to get output to summarizing the research. The research that is simultaneously a conclusion can be drawn is the significant savings, between financing and capital to profit. This can be seen that the f count greater than the f table ( 29,873 > 2,36 ) When viewed from the table a model summary so r which means a correlation coefficient obtained value of 0,984 which means the amount of savings mobilized , the financing of the and capital had strong ties against spider does not permit the .Was in the middle of the value of the coefficients detrminasi as much as 0,968 paper work showing that the amount of savings mobilized , the financing of the and capital affect of the spider that has been accepted by the BTM the spacecraft mentari as much as 96,80 % the remaining of 3,20 % influenced by the fact that of other variables that do not writer you wherever you may be.


2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.


2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.


GEOgraphia ◽  
2018 ◽  
Vol 20 (43) ◽  
pp. 124
Author(s):  
Amaury De Souza ◽  
Priscilla V Ikefuti ◽  
Ana Paula Garcia ◽  
Debora A.S Santos ◽  
Soetania Oliveira

Análise e previsão de parâmetros de qualidade do ar são tópicos importantes da pesquisa atmosférica e ambiental atual, devido ao impacto causado pela poluição do ar na saúde humana. Este estudo examina a transformação do dióxido de nitrogênio (NO2) em ozônio (O3) no ambiente urbano, usando o diagrama de séries temporais. Foram utilizados dados de concentração de poluentes ambientais e variáveis meteorológicas para prever a concentração de O3 na atmosfera. Foi testado o emprego de modelos de regressão linear múltipla como ferramenta para a predição da concentração de O3. Os resultados indicam que o valor da temperatura e a presença de NO2 influenciam na concentração de O3 em Campo Grande, capital do Estado do Mato Grosso do Sul. Palavras-chave: Ozônio. Dióxido de nitrogênio. Séries cronológicas. Regressões. ANALYSIS OF THE RELATIONSHIP BETWEEN O3, NO AND NO2 USING MULTIPLE LINEAR REGRESSION TECHNIQUES.Abstract: Analysis and prediction of air quality parameters are important topics of current atmospheric and environmental research due to the impact caused by air pollution on human health. This study examines the transformation of nitrogen dioxide (NO2) into ozone (O3) in the urban environment, using the time series diagram. Environmental pollutant concentration and meteorological variables were used to predict the O3 concentration in the atmosphere. The use of multiple linear regression models was tested as a tool to predict O3 concentration. The results indicate that the temperature value and the presence of NO2 influence the O3 concentration in Campo Grande, capital of the State of Mato Grosso do Sul.Keywords: Ozone. Nitrogen dioxide. Time series. Regressions. ANÁLISIS DE LA RELACIÓN ENTRE O3, NO Y NO2 UTILIZANDO MÚLTIPLES TÉCNICAS DE REGRESIÓN LINEAL.Resumen: Análisis y previsión de los parámetros de calidad del aire son temas importantes de la actual investigación de la atmósfera y el medio ambiente, debido al impacto de la contaminación atmosférica sobre la salud humana. Este estudio examina la transformación del dióxido de nitrógeno (NO2) en ozono (O3) en el entorno urbano, utilizando el diagrama de series de tiempo. Las concentraciones de los contaminantes ambientales de datos y variables climáticas fueron utilizadas para predecir la concentración de O3 en la atmósfera. El uso de múltiples modelos de regresión lineal como herramienta para predecir la concentración de O3 se puso a prueba. Los resultados indican que el valor de la temperatura y la presencia de NO2 influyen en la concentración de O3 en Campo Grande, capital del Estado de Mato Grosso do Sul.Palabras clave: Ozono. Dióxido de nitrógeno. Series de tiempo. Regresiones.


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