Dini, Dini Rahmayanti
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Analisis indikator makro ekonomi terhadap Jakarta Islamic Index Dini, Dini Rahmayanti
Journal of Economics Research and Policy Studies Vol. 1 No. 2 (2021): Journal of Economics Research and Policy Studies
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (360.549 KB) | DOI: 10.53088/jerps.v1i2.234

Abstract

Stock price fluctuations in various sectors continue to show a decline because of the Covid-19 pandemic. This is because of its nature, which is strongly influenced by external changes or fundamental information. Here, the ability of investors to understand will influence investors' decisions to invest. This study aims to determine the effect of macroeconomic indicators on the Jakarta Islamic Index, the observation period 2015-2021, using monthly time series data. Macro indicators used in analyzing the stock of the Jakarta Islamic Index are inflation, interest rates, industrial production growth, crude oil, exchange rates, and the industry average Dow Jones as global index variables. The analysis technique used is multiple linear regression. Simultaneous test results show that the macro variable indicators and DJIA have a significant effect on JII. The results of the partial test show that inflation and DJIA have a significant positive effect on JII, while the exchange rate and crude oil have a significant positive effect on JII, for the variables of industrial production growth and interest rates have no significant effect on JII.
Banking productivity analysis in Indonesia: Empirical evidence using Malmquist Productivity Index based DEA and an Error Correction Model approach Dini, Dini Rahmayanti; Ariyani, Diyah; Rismaya , Anisa Dewi
Journal of Economics Research and Policy Studies Vol. 3 No. 3 (2023): Journal of Economics Research and Policy Studies
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jerps.v3i3.929

Abstract

The level of productivity can be used as a benchmark for assessing the performance of a bank so that we can find out how efficient a bank's performance is or how banking productivity is so that we can still get maximum and efficient performance amidst the many choices of customers in choosing bank. This research examines how banking productivity has changed in Indonesia, using banking report data in Indonesia for the 2017-2022 period. Data Envelopment Analysis (DEA) linear programming model, which is used based on the Malmquist Index to measure changes in Total Factor Productivity (TFP). Regression model to describe what variables influence changes in banking productivity in Indonesia. With the Error Correction Model, the Loan-to-Deposit Ratio (LDR) and Return on Equity (ROE) have a significant effect on productivity in the long term. The pandemic crisis does not affect productivity. Meanwhile, in the short term, Net Interest Margin has a significant effect on banking productivity in Indonesia.