scholarly journals Pengaruh Suku Bunga Acuan BI, Nilai Tukar Rupiah dan Inflasi terhadap Non-Performing Loan Sektor Usaha yang Dibiayai Bank Umum Konvensional di Indonesia

2021 ◽  
Vol 5 (6) ◽  
pp. 588
Author(s):  
Andy Sucipto ◽  
Carunia Mulya Firdausy
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Manufacturing Sector ◽  
Random Effect ◽  
Random Effect Model ◽  
Retail Trade ◽  
Coefficient Of Determination ◽  
Effect Model ◽  
Manufacturing Sectors ◽  
The Interest Rate

The purpose of this study was to determine the effect of interest rate, exchange rate, and inflation on the Non-Performing Loans of manufacturing sectors that were financed by Conventional Commercial Banks in Indonesia. The sample used in this study consisted of 8 business sectors, namely mining, manufacturing, wholesale and retail trade, accommodation, transportation & warehousing, finance, property, electricity, gas, and water. This study used a panel data regression analysis method with a random effect model (REM) approach. The results showed that the interest rate and inflation had no significant effects on the NPL of the manufacturing sector understudied, while the exchange rate had a significant effect on the NPL. However, the coefficient of determination was found to be 36.11 percent. This indicates that other variables affect the NPL of manufacturing sectors financed by the conventional bank in Indonesia. Tujuan penelitian ini adalah untuk mengetahui pengaruh suku bunga, nilai tukar dan inflasi terhadap Non-Performing Loan sektor manufaktur yang dibiayai oleh Bank Umum Konvensional di Indonesia. Sampel yang digunakan dalam penelitian ini terdiri dari 8 sektor usaha yaitu pertambangan, manufaktur, perdagangan grosir dan eceran, akomodasi, transportasi & pergudangan, keuangan, properti, listrik, gas dan air. Penelitian ini menggunakan metode analisis regresi data panel dengan pendekatan random effect model (REM). Hasil penelitian menunjukkan bahwa suku bunga dan inflasi tidak berpengaruh signifikan terhadap NPL sektor manufaktur yang diteliti, sedangkan nilai tukar berpengaruh signifikan terhadap NPL. Namun, koefisien determinasi diperoleh sebesar 36,11 persen. Hal ini menunjukkan bahwa terdapat variabel lain yang mempengaruhi NPL sektor manufaktur yang dibiayai oleh bank konvensional di Indonesia.

scholarly journals Determining Firm Value in the Indonesian Banking Sub Sector

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Henny Medyawati ◽  
◽  
Muhamad Yunanto ◽  
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Financial Performance ◽  
Interest Rates ◽  
Firm Value ◽  
Dividend Policy ◽  
Random Effect ◽  
Random Effect Model ◽  
Company Value ◽  
Effect Model

This study aims to find the most appropriate model for analysing the effect of financial performance, dividend policy, interest rates and the rupiah exchange rate on firm value. The research sample includes the banking sub-sector companies listed on the IDX in 2013-2019. The research method used is purposive sampling to analyse the panel data. The variables used in this study are the company value as measured by Price to Book Value (PBV), financial performance is measured by Return on Assets (ROA), dividend policy is measured by Dividend Pay-out Ratio (DPR), interest rate is measured by BI interest rate, and the rupiah exchange rate is measured by the middle rate. The results show that ROA and exchange rate affect firm value. The appropriate model used in this study is the random effect model.

scholarly journals Determining Firm Value in the Indonesian Banking Sub Sector

2021 ◽  
Author(s):  
Henny Medyawati ◽  
Muhamad Yunanto
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Financial Performance ◽  
Interest Rates ◽  
Firm Value ◽  
Dividend Policy ◽  
Random Effect ◽  
Random Effect Model ◽  
Company Value ◽  
Effect Model

This study aims to find the most appropriate model for analysing the effect of financial performance, dividend policy, interest rates and the rupiah exchange rate on firm value. The research sample includes the banking sub-sector companies listed on the IDX in 2013-2019. The research method used is purposive sampling to analyse the panel data. The variables used in this study are the company value as measured by Price to Book Value (PBV), financial performance is measured by Return on Assets (ROA), dividend policy is measured by Dividend Pay-out Ratio (DPR), interest rate is measured by BI interest rate, and the rupiah exchange rate is measured by the middle rate. The results show that ROA and exchange rate affect firm value. The appropriate model used in this study is the random effect model.

scholarly journals PENGARUH VARIABEL MAKROEKONOMI TERHADAP PROFITABILITAS BANK KONVENSIONAL BUKU 4 DI INDONESIA

2021 ◽  
Vol 3 (1) ◽  
pp. 65
Author(s):  
Sandi Fitra Yusuf ◽  
Mike Triani
Keyword(s):  
Economic Growth ◽  
Interest Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Bank Profitability ◽  
Macroeconomic Variables ◽  
Section Data ◽  
Insignificant Effect ◽  
Effect Model ◽  
Selection Test

This study explains the extent of the influence of macroeconomic variables on the profitability of BUKU 4 banks in Indonesia. The macroeconomic variables consist of economic growth (X1), inflation (X2), Bank Indonesia Interest Rate (BI Rate) (X3, and Profitability is measured by the ROA (Return) ratio. On Asset). This study combines cross section data of 7 banks with time series from 2010-2019, with the Panel Regression method with the Random Effect model selection test. The results show that: (1) Economic growth has a positive and significant effect on bank profitability. conventional BUKU 4 in Indonesia, (2) Inflation has a positive and insignificant effect on the profitability of conventional BUKU 4 banks in Indonesia, (3) the Bank Indonesia Interest Rate (BI Rate) has a positive and insignificant effect on the profitability of conventional BUKU 4 banks in Indonesia.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI TEBU PADA SUB SEKTOR PERKEBUNAN DI PROVINSI JAWA TIMUR TAHUN 2011-2015

2017 ◽  
Vol 15 (2) ◽  
pp. 193
Author(s):  
Moch. Arif Dausin Nazula Achadin
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Land Area ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Production Value ◽  
Plantation Labor

The goal of this research is to know the influence of the land area and the amount of sugar cane plantation labor in the plantation in East Java province year 2011-2015 and analysis whether there is a difference between production of Kabupaten/Kota cane producer on a plantation in East Java province year 2011-2015. Analysis tool used is a panel data regression then do hypothesis testing with F-test, t-test, and the coefficient of Determination () on error rate α = 5%.The results of the regression analysis of the data panel with the selected model is a Random Effect Model showed that the land area of influential labor and significantly to the amount of production value of each 0.97 to land area and 0.04 for amount of labor. While the value of the coefficient of determination () is 0.99 or 99%, this indicates that the ability of the variable land area and the amount of labor in explaining the amount of production of 99%.

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI TEBU PADA SUB SEKTOR PERKEBUNAN DI PROVINSI JAWA TIMUR TAHUN 2011-2015

2017 ◽  
Vol 15 (2) ◽  
pp. 193
Author(s):  
Moch. Arif Dausin Nazula Achadin
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Land Area ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Production Value ◽  
Plantation Labor

The goal of this research is to know the influence of the land area and the amount of sugar cane plantation labor in the plantation in East Java province year 2011-2015 and analysis whether there is a difference between production of Kabupaten/Kota cane producer on a plantation in East Java province year 2011-2015. Analysis tool used is a panel data regression then do hypothesis testing with F-test, t-test, and the coefficient of Determination () on error rate α = 5%.The results of the regression analysis of the data panel with the selected model is a Random Effect Model showed that the land area of influential labor and significantly to the amount of production value of each 0.97 to land area and 0.04 for amount of labor. While the value of the coefficient of determination () is 0.99 or 99%, this indicates that the ability of the variable land area and the amount of labor in explaining the amount of production of 99%.

scholarly journals PENGARUH NILAI TUKAR, INFLASI, VOLUME PERDAGANGAN, DAN DIVIDEND PAYOUT RATIO TERHADAP SHARE PRICE VOLATILITY PADA PERUSAHAAN YANG TERDAFTAR DALAM INDEKS KOMPAS100 TAHUN 2014 – 2018

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mastura Mastura
Keyword(s):  
Exchange Rate ◽  
Data Analysis ◽  
Trading Volume ◽  
Random Effect ◽  
Random Effect Model ◽  
Price Volatility ◽  
Sampling Technique ◽  
Share Price ◽  
Dividend Payout ◽  
Effect Model

This research aims to analyze partial and simultaneous influence between exchange rate, inflation, trading volume, and dividend payout ratio to share price volatility in Kompas100 index. This research uses 23 companies listed in Kompas100 index as a research sample during the period of 2014 to 2018, where sampling uses purposive sampling technique. In order to analyze, and test each research hypotheses, the technique used is panel data regression using the random effect model. The results of data analysis show that partially, the excgange rate, inflation, and trading volume have a positive and significant effect to share price volatility while the dividend payout ratio has a negative and significant effect to share price volatility. the results of data analysis show simultaneously, the exchange rate, inflation, trading volume, and dividend payout ratio have significant influence to share price volatility. The amount of testing the coefficient of determinastion (adjusted R square) is 0.416174, indicating that dependen variable which is share price volatility can be explained by independent variables those are exchange rate, inflation, trading volume, and dividend payout ratio was 41.6%, while 58.4% can be explained by the other variables outside the models     

scholarly journals Determinants Of International Tourism In Indonesia

JEJAK ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 298-317
Author(s):  
Faiza Husnayeni Nahar ◽  
Mufti Alam Adha ◽  
Muhammad Azizurrohman ◽  
Izzani Ulfi ◽  
Husna Karimah
Keyword(s):  
Exchange Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Destination Country ◽  
Growing Up ◽  
Effect Model ◽  
International Tourist ◽  
Negative Effect ◽  
Strong Position ◽  
The Government

Tourism is considered as big industry which growing up faster compare to other industry in this recent year. It is reported that Indonesia received approximately 11.5 million of international tourists in 2016. Because the tourism shows significant trend in Indonesia and getting strong position in the third rank as the foreign revenue for this country, the government willing to boost up the factors that might contribute more on attracting international tourist. This study tried to analyse the determinant factors of international tourist in Indonesia by using Random Effect Model. The variables are GDPs origin and destination country, exchange rate of origin country, free visa impact and length of distance in Indonesia during the period of 2006 to 2016. The study found that all variables are statistically significant. GDPs origin and destination country and country with visa-free entry have positive effect to the number of international tourist arrival while the rest which is exchange rate of origin country and length of distance have negative effect to the international tourists. Hence, the government needs to promote aggressively to the international tourist by conducting important events, increasing the number of countries that receive Indonesia free visa and maintain the GDP in both origin and destination country.

DETERMINANTS OF INDONESIA’S EXPORTS OF MANUFACTURED PRODUCTS: A PANEL DATA ANALYSIS

2016 ◽  
Vol 10 (2) ◽  
pp. 187-202
Author(s):  
Ahmad Sohibil Kahfi
Keyword(s):  
Foreign Direct Investment ◽  
Exchange Rate ◽  
Panel Data ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Real Gdp ◽  
Effect Model

Nilai ekspor Indonesia terus mengalami penurunan sejak 2012. Masalah ini menarik perhatian pemerintah Indonesia untuk segera meningkatkan performa ekspor, dimana salah satu sektor yang dapat ditingkatkan adalah sektor manufaktur. Studi ini menganalisis faktor penentu ekspor manufaktur di Indonesia sejak 2005 sampai 2014. Faktor utama yang dianalisis antara lain adalah nilai tukar rupiah, foreign direct investment (FDI), gross domestic product (GDP), dan kebijakan perdagangan. Faktor tersebut dianalisis menggunakan regresi data panel dengan pendekatan random effect model. Hasil dari analisis menunjukkan bahwa perubahan relatif dari nilai tukar, real GDP, jarak dua negara, dan tarif secara signifikan memengaruhi ekspor manufaktur di Indonesia. Beberapa rekomendasi terkait untuk pemerintah Indonesia antara lain adalah dengan menjaga ekspor Indonesia ke negara-negara yang memiliki GDP tinggi, memperluas pasar ekspor Indonesia, menjaga stabilitas nilai tukar rupiah, mendukung industri lokal menggunakan teknologi maju, dan mendukung penyederhanaan proses impor. Indonesia’s export has been decreasing since 2012. This problem has raised government’s attention to increase the export performance. One sector that can be improved is manufacturing. This study analyzes the determinants of Indonesia’s manufacturing export from 2005 to 2014. The major factors examined in this study include real exchange rate, foreign direct investment (FDI), gross domestic product (GDP) and trade policies. Those factors are examined by using panel data regression with a random effect model. The results revealed that relative change of exchange rate, real GDP, distance between two countries and average tariffs significantly affected the Indonesia’s manufacturing export. It is recommended that Indonesian government maintains the exports to countries which have high GDP, expand the export market, stabilize Rupiahs exchange rate, encourage local industries to use advanced technologies, and facilitate the simplification of import procedures.

scholarly journals Kondisi Makro Ekonomi Terhadap Hasil Investasi Asuransi Jiwa Syariah di Indonesia

2017 ◽  
Vol 4 (10) ◽  
pp. 773
Author(s):  
Firsty Dzanurrahmana Zein ◽  
Atina Shofawati
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Significant Influence ◽  
Life Insurance ◽  
Quantitative Methods ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Significance Level ◽  
Effect Model

This research attempt to analyze the effect of variable inflation, Rupiah exchange rate, and gross domestic product towards investment result of sharia life insurance in Indonesia period 2012:Q1 until 2016:Q1. This research using quantitative methods. The analysis techniques used is multiple linear regression with data panel and significance level of 0,05. The approach used in this research is Random Effect Model. The result of t-test, gross domestic bruto has a significant influence to investment result of sharia life insurance with 0,0459. Inflation and Rupiah exchange rate has not significant influence to investment result of sharia life insurance. However, inflation, Rupiah exchange rate and gross domestic product simultaneously provide a significant effect to Investment result of sharia life insurance.

scholarly journals THE INFLUENCE OF INTEREST, JCI, EXCHANGE RATE, ECONOMIC GROWTH, AND INFLATION ON THE PERFORMANCE OF EMPLOYEES HEALTH INVESTMENT IN BUKIT ASAM FOUNDATION

2020 ◽  
Vol 1 (2) ◽  
pp. 191-199
Author(s):  
Rosaidah Permanasari Sembiring
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Interest Rate ◽  
Interest Rates ◽  
Coefficient Of Determination ◽  
Investment Performance ◽  
Investment Companies ◽  
Normality Test ◽  
The Interest Rate

This study aims to determine the effect of interest rates, JCI, Exchange Rate, Growth Economy and Inflation on Investment Performance Employees Health Foundation Bukit Asam. In this study, researchers used a regression method with a quantitative approach. The comparative research hypothesis is a hypothesis formulated to provide answers to the issues that are of influence. The population in this study were all of Interest Rate, JCI, Exchange Rate, Economic Growth and Inflation, and investment companies. Where the data of this study is the Interest Rate, JCI, Exchange Rate, Economic Growth and Inflation and investment company 2013 to 2017 period. The test used to test instrument this research is normality test, autocorrelation, Multicollinearity, heteroscedasticity. The results of the study that variable interest rates and a significant positive effect inverse of <0.05 and JCI positive and significant effect of <0,05 on the dependent variable, while the rupiah, Growth, and inflation is negative and not significant. While simultaneously or together there is a positive and significant influence of the independent variables on the dependent variable with a coefficient of determination of 10.1% while the remaining 89.9% is a combination of other factors not included in this study.

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