scholarly journals Analisis Tingkat Profitabilitas Perbankan Syariah di Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 1
Author(s):  
Nur Lailatul Fatmawati ◽  
Abdul Hakim
Keyword(s):  
Time Series ◽  
Exchange Rates ◽  
Interest Rates ◽  
Growth And Development ◽  
Time Series Data ◽  
Secondary Data ◽  
Quantitative Approach ◽  
Series Data ◽  
Islamic Banking

The ability of banks to generate profitability greatly impacts the growth and development of sharia banking. In maintaining and enhancing the growth of sharia banking, several components, both internal and external, are needed. The low profitability of banks indicates that banks are not good in their performance. Profitability is still something that is always wanted to be improved by Islamic banking because it sees the movement of Islamic banking growth that is still lagging far behind that of conventional banking. will be able to increase profitability. The purpose of this study is to determine the effect of FDR, BOPO, and exchange rates on the level of profitability (ROA). To determine the effect of NPF and interest rates on the level of profitability (ROA). To find out the influence of Mudharabah Financing, musyarakah financing and murabahah financing on profitability (ROA). This research uses a quantitative approach. The type of data used in this study is secondary data in the form of time series data. This study shows that FDR, BOPO, and exchange rates have a negative and significant effect on the level of profitability (ROA). NPF and interest rates have a negative and not significant effect on the level of profitability (ROA). Mudharabah financing, musyarakah financing and murabahah financing have a positive and not significant effect on profitability (ROA).

scholarly journals Analisis Pengaruh Inflasi, Nilai Tukar Dan Bi Rate Terhadap Tabungan Mudharabah Pada Perbankan Syariah Di Indonesia

2020 ◽  
Vol 1 (1) ◽  
pp. 53-68
Author(s):  
Zakaria Batubara ◽  
Eko Nopiandi
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Islamic Banking ◽  
Islamic Banks ◽  
Analysis Technique ◽  
Positive Effect

This research aims to determine the effect of inflation, exchange rates, and the BI Rate on mudharabah savings in Islamic banking in Indonesia partially and simultaneously. This research is a quantitative study with time-series data. The data used in this study are secondary data. The population in this study is inflation data, the rupiah exchange rate, and the BI Rate and mudharabah savings. The population of Islamic banks in this study totalled 34 Islamic banks. The data analysis technique used in this study is the multiple regression analysis. Partially, inflation, exchange rates or the rupiah exchange rate and the BI Rate have a positive effect on mudharabah savings in Islamic banking in Indonesia. Simultaneously the inflation variable, the exchange rate or the rupiah exchange rate and the BI Rate have a significant effect on mudharabah savings in Islamic banking in Indonesia with an influence of 88.6%.

scholarly journals Analisis faktor-faktor yang mempengaruhi ekspor CPO provinsi Jambi ke Malaysia

2020 ◽  
Vol 8 (3) ◽  
pp. 143-154
Author(s):  
Usman Hardianto ◽  
Siti Hodijah ◽  
Rahma Nurjanah
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Gross Domestic Product ◽  
Exchange Rates ◽  
Time Series Data ◽  
Secondary Data ◽  
Domestic Product ◽  
Series Data ◽  
Insignificant Effect ◽  
Average Development

The purpose of the study was to determine and analyze the development of production, exchange rates, CPO prices, Malaysian GDP, and Jambi Province CPO exports to Malaysia and the effect of production, exchange rates, CPO prices, Malaysian GDP on Jambi Province CPO exports to Malaysia. The data used in this study is secondary data in the form of time series data for 2000-2017. The results show that the average development of Jambi Province CPO exports to Malaysia is 4.10% per year, Jambi Province CPO production is on average 4, 10% per year, the average exchange rate is 2.64% per year, the average CPO price is 8.63% per year, and Malaysia's GDP is 4.89% per year on average. Based on the results of multiple linear analyses, it can be concluded that CPO production, CPO prices, exchange rates, and Malaysian GDP together affect the volume of Jambi Province's CPO exports to Malaysia. While partially production and GDP have a negative and insignificant effect on Jambi Province's CPO exports to Malaysia, the exchange rate and CPO prices positively and significantly impact Jambi Province's CPO exports to Malaysia. Keywords: Production, Price, Exchange rates, Gross Domestic Product

scholarly journals Pengaruh Pendapatan , Jumlah Nasabah Dan Tingkat Suku Bunga Terhadap Penyaluran Kredit Pt Pegadaian Cabang Kabupaten Jember Periode 2013 -2017

2019 ◽  
Vol 15 (1) ◽  
pp. 151-174
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Interest Rate ◽  
Interest Rates ◽  
Time Series Data ◽  
Computer Software ◽  
Secondary Data ◽  
Series Data ◽  
The Interest Rate ◽  
Number Of Customers

The research objective was to analyze the large number, number of customers, and interest rates on the loan distribution of PT Pegadaian Branch of Jember Regency.The type of data used in this study is secondary data consisting of time series data on income, number of customers obtained through the pawnshop office which is the object of research and interest rates for the period 2013-2017 obtained from BI which is the object of the research. The data is processed using computer software "SPSS 22" with multiple regression analysis methods. The Pawnshop Branch of Kabupaten Jember is very positive and significant towards lending to PT Pegadaian Branch of Kabupaten Jember, while the Interest Rate does not significantly influence the lending of PT Pegadaian Branch of Kabupaten Jember. Together, it focuses positively and significantly on the loan distribution of PT Pegadaian Branch of Jember Regency

Economic Turmoil in Islamic Banking Investment

ETIKONOMI ◽  
2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Budiandru Budiandru ◽  
Sari Yuniarti
Keyword(s):  
Interest Rates ◽  
Stock Price ◽  
Time Series Data ◽  
Series Data ◽  
Islamic Banking ◽  
Vector Error Correction ◽  
Investment Financing ◽  
Vector Error ◽  
Operational Activities

Investment financing is one of the operational activities of Islamic banking to encourage the real sector. This study aims to analyze the effect of economic turmoil on investment financing, analyze the response to investment financing, and analyze each variable's contribution in explaining the diversity of investment financing. This study uses monthly time series data from 2009 to 2020 using the Vector Error Correction Model (VECM) analysis. The results show that the exchange rate, inflation, and interest rates significantly affect Islamic banking investment financing in the long term. The response to investment financing is the fastest to achieve stability when it responds to shocks to the composite stock price index. Inflation is the most significant contribution in explaining diversity in investment financing. Islamic banking should increase the proportion of funding for investment. Customers can have a larger business scale to encourage economic growth, with investment financing increasing.JEL Classification: E22, G11, G24How to Cite:Budiandru., & Yuniarti, S. (2020). Economic Turmoil in Islamic Banking Investment. Etikonomi: Jurnal Ekonomi, 19(2), xx – xx. https://doi.org/10.15408/etk.v19i2.17206.

scholarly journals FAKTOR – FAKTOR YANG MEMPENGARUHI KONSUMSI GAS DI INDONESIA

2021 ◽  
Vol 3 (2) ◽  
pp. 69
Author(s):  
Rohim Rohim ◽  
Mike Triani
Keyword(s):  
Time Series ◽  
World Bank ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Industrial Growth ◽  
A Value ◽  
The World Bank ◽  
The World ◽  
Gas Consumption

The purpose of this research is to determine (1) the effect of income on gas consumption in Indonesia (2) the effect of population on gas consumption in Indonesia (3) the effect of industrial growth on gas consumption in Indonesia. This type of research is descriptive and associative. The data used in this research is secondary data from Indonesia in the form of time series data from 1970 to 2019 and this data was obtained from official institutions of the World Bank and BP Statistic World. The data were processed using multiple linear regression. The results showed that the income had a negative and significant effect on gas consumption with a probability value of 0.0005 <0.05, the population had a positive and significant effect on gas consumption with a value of prob t-count of 0.0010 <0.05 and industrial growth had a positive and significant effect on gas consumption.  The significant to gas consumption in Indonesia with a value of prob t-count value of 0.5219 <0.05 and suggestions for further researchers to be able to analyze other factors that affecting gas consumption in Indonesia.  Because from the gas sectors, there are still many factors that affected gas consumption until the research results will be better

scholarly journals The Effect of Inflation, US Dollar Exchange Rates, Interest Rates, and World Oil Prices on Gold Price Fluctuations in Indonesia 2014 – 2019

2020 ◽  
Vol 1 (3) ◽  
pp. 155-171
Author(s):  
Ummi Kalsum ◽  
Randy Hidayat ◽  
Sheila Oktaviani
Keyword(s):  
Exchange Rates ◽  
Interest Rates ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Oil Prices ◽  
Gold Price ◽  
Series Data ◽  
Price Fluctuations ◽  
Insignificant Effect ◽  
Us Dollar

This study aims to determine the effect of inflation, US dollar exchange rates, interest rates, and world oil prices on fluctuations in gold prices in Indonesia in 2014 - 2019. This research is a type of explanatory research with a quantitative approach. The data used are monthly time series data for 2014 - 2019 with a sample of 72 samples. The multiple linear regression model is used as an analysis technique in this study. The results of this study indicate that simultaneously (F test) inflation, USD exchange rates, interest rates, and world oil prices have a significant effect on gold price fluctuations in Indonesia. Partially (t-test) shows that the USD exchange rate has a significant positive effect on gold price fluctuations in Indonesia. Inflation and interest rates have a negative and insignificant effect on fluctuations in gold prices in Indonesia. Meanwhile, world oil prices have a positive and insignificant effect on gold price fluctuations in Indonesia.

scholarly journals Faktor-Faktor yang Mempengaruhi Alih Fungsi Lahan Sawah di Kabupaten Aceh Besar

2018 ◽  
Vol 3 (4) ◽  
pp. 525-533
Author(s):  
Raudhatul Husna ◽  
Azhar Azhar ◽  
Edy Marsudi
Keyword(s):  
Time Series ◽  
Population Density ◽  
Rice Field ◽  
Time Series Data ◽  
Statistical Tests ◽  
Secondary Data ◽  
Series Data ◽  
Factors Affecting ◽  
Rice Productivity ◽  
Negative Impacts

Abstrak. Alih fungsi lahan atau lazimnya disebut sebagai konversi lahan adalah  perubahan fungsi sebagian atau seluruh kawasan lahan dari fungsinya semula (seperti yang direncanakan) menjadi fungsi lain yang membawa dampak negatif terhadap lingkungan dan potensi lahan itu sendiri. Penelitian ini bertujuan untuk mengetahui apakah harga lahan, kepadatan penduduk, produktivitas padi dan jumlah PDRB dapat mempengaruhi alih fungsi lahan sawah di Kabupaten Aceh Besar. Data yang digunakan dalam penelitian ini adalah data sekunder. Data yang dikumpulkan adalah data time series dengan range tahun 2002 sampai 2016. Penelitian ini menggunakan metode analisis  regresi linier berganda. hasil penelitian dan pembahasan serta pengujian SPSS menunjukkan bahwa harga lahan, kepadatan penduduk, dan produktivitas padi berpengaruh nyata terhadap alih fungsi lahan sawah di Kabupaten Aceh Besar. sedangkan jumlah PDRB tidak berpengaruh terhadap alih fungsi lahan sawah. Hal ini ditunjukkan oleh koefisien regresi untuk variabel jumlah PDRB sebesar 0,00015. Hasil pengujian statistik menunjukkan nilai t hitung untuk jumlah PDRB sebesar 1,315 dengan nilai signifikan sebesar 0,218. Sedangkan nilai t tabel sebesar 1,782 yang berarti nilai t hitung t tabel (1,315 1,782).  Factors Affecting The Conversion Of Paddy Fields In Kabupaten Aceh Besar Abstract. Land use change or commonly referred to as land conversion is a change in the function of part or all of the land area from its original function (as planned) into other functions that bring negative impacts to the environment and the potential of the land itself. This study aims to find out whether the price of land, population density, rice productivity and the amount of GRDP can affect the conversion of rice field functions in Aceh Besar District. The data used in this research is secondary data. The data collected is time series data with range of year 2002 until 2016. This research use multiple linier regression analysis method. the results of research and discussion and testing of SPSS showed that land price, population density, and rice productivity significantly affected the conversion of wetland in Aceh Besar district. while the number of GDP does not affect the conversion of wetland. This is indicated by the regression coefficient for the GRDP variable of 0.00015. The results of statistical tests show the value of t arithmetic for the amount of GRDP by 1.315 with a significant value of 0.218. While the value of t table of 1.782 which means the value of t arithmetic t table (1,315 1.782).

scholarly journals A Study on Estimation and Prediction of Vector Time Series Model Using Financial Big Data (Interest Rates)

2021 ◽  
Vol 12 (5) ◽  
pp. 309-316
Author(s):  
Jae-Hyun Kim, Chang-Ho An
Keyword(s):  
Time Series ◽  
Interest Rate ◽  
Prediction Model ◽  
Interest Rates ◽  
Time Series Data ◽  
Information Criteria ◽  
Series Data ◽  
Call Rate ◽  
Causality Test ◽  
Vector Autoregressive

Due to the global economic downturn, the Korean economy continues to slump. Hereupon the Bank of Korea implemented a monetary policy of cutting the base rate to actively respond to the economic slowdown and low prices. Economists have been trying to predict and analyze interest rate hikes and cuts. Therefore, in this study, a prediction model was estimated and evaluated using vector autoregressive model with time series data of long- and short-term interest rates. The data used for this purpose were call rate (1 day), loan interest rate, and Treasury rate (3 years) between January 2002 and December 2019, which were extracted monthly from the Bank of Korea database and used as variables, and a vector autoregressive (VAR) model was used as a research model. The stationarity test of variables was confirmed by the ADF-unit root test. Bidirectional linear dependency relationship between variables was confirmed by the Granger causality test. For the model identification, AICC, SBC, and HQC statistics, which were the minimum information criteria, were used. The significance of the parameters was confirmed through t-tests, and the fitness of the estimated prediction model was confirmed by the significance test of the cross-correlation matrix and the multivariate Portmanteau test. As a result of predicting call rate, loan interest rate, and Treasury rate using the prediction model presented in this study, it is predicted that interest rates will continue to drop.

scholarly journals PENGARUH ZIS (ZAKAT, INFAK, SEDEKAH) DAN ZAKAT FITRAH TERHADAP PENURUNAN KEMISKINAN DI INDONESIA PERIODE 1998 - 2010

Media Ekonomi ◽  
2017 ◽  
Vol 20 (1) ◽  
pp. 83
Author(s):  
Jumadin Lapopo
Keyword(s):  
Time Series ◽  
Developing Countries ◽  
Regression Analysis ◽  
Poverty Reduction ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Independent Variables

<p>Poverty is being a problem in all developing countries including Indonesia. Among goverment programs, poverty has become the center offattention in policy at both of the regional and national levels. Looking at thephenomenon of poverty, Islam present with solution to reduce poverty through Zakat. This study aims to analyze the effect of ZIS and Zakat Fitrah against poverty in Indonesia in 1998 until 2010, data used in this study is secondary data and uses time series data, for the dependent variabel is poverty and for independent variables are ZIS and Zakat Fitrah. The analysis tools used in this study is to use multiple regression analysis model and the assumptions of classical test using the software Eviews-4. In this study also concluded that the ZIS variables significantly affect to the reduction of poverty in Indonesia although the effect is very small. In the variable Zakat Fitrah not significantly affect poverty reduction in Indonesia because of the nature of Zakat Fitrah is for consumption and not for long-term needs. The results of this study can be used for the management of zakat to be able to develop the management and to get a better system for distribution of zakat so that the main purpose of zakat can be achieved to reduce poverty.<br />Keywords : Poverty, Zakat Fitrah, ZIS.</p>

Impact assessment of political administrations on the performance of the construction sector: a time series analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Najimu Saka ◽  
Abdullahi Babatunde Saka ◽  
Opeoluwa Akinradewo ◽  
Clinton O. Aigbavboa
Keyword(s):  
Time Series ◽  
Growth And Development ◽  
Time Series Data ◽  
Critical Factor ◽  
Sustainable Growth ◽  
Analysis Of Covariance ◽  
Series Data ◽  
Construction Sector ◽  
Content Type ◽  
Ancova Model

Purpose The complex interaction of politics and the economy is a critical factor for the sustainable growth and development of the construction sector (CNS). This study aims to investigate the effects of type of political administration including democracy and military on the performance of CNS using the Nigerian Construction Sector (NCS) as a case study. Design/methodology/approach A 48 year (1970–2017) time series data (TSD) on the NCS and the gross domestic product (GDP) based on 2010 constant USD were extracted from the United Nations Statistical Department database. Analysis of variance (ANOVA) and analysis of covariance (ANCOVA) models were used to analyze the TSD. The ANCOVA model includes the GDP as correlational variable or covariate. Findings The estimates of the ANOVA model indicate that democratic administration is significantly better than military administration in construction performance. However, the ANCOVA model indicates that the GDP is more important than political administration in the performance of the CNS. The study recommends for a new national construction policy, favourable fiscal and monetary policy, local content development policy and construction credit guaranty scheme for the rapid growth and development of the NCS. Originality/value Hitherto, little is known about the influence of political administration on the performance of the CNS. This study provides empirical evidence from a developing economy perspective. It presents the relationships and highlights recommendations for driving growth in the construction industry.

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