Wibowo, Wisnu
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THE DETERMINANTS FACTORS OF PROFITABILITY ISLAMIC BANK IN INDONESIA Purwasih, Herawati; Wibowo, Wisnu
Jurnal Muara Ilmu Ekonomi dan Bisnis Vol 5, No 1 (2021): Jurnal Muara Ilmu Ekonomi dan Bisnis
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmieb.v5i1.10023

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui faktor yang mempengaruhi pertumbuhan dari profitabilitas bank syariah di Indonesia. Penelitian ini menggunakan pendekatan kuantitatif dengan metode Autoregressive Distributed Lag (ARDL). Data yang digunakan adalah data bulanan variabel makroekonomi dan variabel perbankan periode Januari 2006 – Desember 2019. Variabel makroekonomi yang digunakan adalah Industrial Production Index, Inflasi, Nilai Tukar Rupiah terhdap dollar, suku bunga. Sedangkan variabel perbankan yang digunakan adalah Capital Adequacy Ratio, Non Performing Financing, Financing to Deposite Ratio, Biaya Operational dan Pendapatan Operational, serta variabel return on asset. Hasil dari penelitian ini adalah dalam jangka pendek hanya variabel Nilai Tukar, Biaya Operational dan Pendapatan Operational serta Non Performing Financing yang berpengaruh terhadap Return on Asset. Variabel Industrial Production Index, Inflasi, suku bunga, Capital Adequacy Ratio, dan Financing to Deposite Ratio tidak berpengaruh terhadap return on asset dalam jangka pendek. Kemudian dalam jangka panjang hasilnya sama yaitu hanya variabel Nilai Tukar, Biaya Operational dan Pendapatan Operational serta Non Performing Financing yang berpengaruh terhadap Return on Asset. Variabel Industrial Production Index, Inflasi, suku bunga, Capital Adequacy Ratio, dan Financing to Deposite Ratio juga tidak berpengaruh terhadap return on asset dalam jangka panjang. Variabel nilai tukar merupakan variabel yang paling berpengaruh dalam jangka pendek maupun jangka panjang terhadap profitabilitas of Islamic bank.  Dengan demikian penelitian ini diharapkan bisa membantu perbankan syariah dalam menganalisa faktor yang mempengaruhi profitabilitas perbankan syariah di Indonesia.  The purpose of this research is to find out the determinant factors that the growth of Islamic bank profitability in Indonesia. This research uses a quantitative approach with the Autoregressive Distributed Lag (ARDL) method. The data used is monthly data of macroeconomic variables and banking variables for the period January 2006 – December 2019. Macroeconomic variables used are the Industrial Production Index, Inflation, Rupiah Exchange Rate with the dollar, interest rate. While the banking variables used are Capital Adequacy Ratio, Non-Performing Financing, Financing to Deposit Ratio, Operational Cost and Operational Income, as well as variable return on assets. The result of this study is that in the short term only variable Exchange Rates, Operational Costs, and Operational Income and Non-Performing Financing affect Return on Assets. Variable Industrial Production Index, Inflation, interest rates, Capital Adequacy Ratio, and Financing to Deposite Ratio have no effect on return on assets in the short term. Then in the long run the result is the same is that only variable Exchange Rates, Operational Costs, and Operational Income and Non-Performing Financing affect the return on assets. Variable Industrial Production Index, Inflation, interest rates, Capital Adequacy Ratio, and Financing to Deposite Ratio also have no effect on return on assets in the long term. Exchange rate variables are the most influential variables in the short and long term on the profitability of Islamic banks. Thus, this research is expected to assist Sharia banking in analyzing factors that affect the profitability of Sharia banking in Indonesia.
Determinants of Regional Household Final Consumption Expenditure in Indonesia Sugiarto, Sugiarto; Wibowo, Wisnu
JEJAK: Jurnal Ekonomi dan Kebijakan Vol 13, No 2 (2020): September 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jejak.v13i2.25736

Abstract

The Indonesian economy, both at the national and regional levels, tended to experience a slowdown during 2010-2019. From the demand side, household final consumption expenditure (HFCE) is the primary cause of the slowdown. Therefore, various efforts are needed to maintain and improve HFCE. One of these efforts is to keep the stability of the macroeconomic factors that influence it. This research aims to reveal the determinants of regional HFCE in Indonesia. The determinants of HFCE were investigated using a dynamic panel data regression model with the first-difference Generalized Method of Moments (FD-GMM) approach and applied to data from 33 provinces during 2010-2019. The application of FD-GMM provides valid and consistent estimates. The results of the parameter significance test provide evidence that the lagged real HFCE, real gross regional domestic product (GRDP), and government spending have a significant positive impact on real HFCE. Meanwhile, both the inflation and unemployment rates had significantly negatively impacted. Thus, the role of policymakers in maintaining the stability of the five macroeconomic factors is necessary so that HFCE increases and the economy can grow even higher.
Kerentanan Perbankan di Indonesia: Pengukuran dan Penyebabnya Wibowo, Wisnu; Zakaria, Amir Ambyah
Jurnal Ekonomi dan Pembangunan Indonesia Vol 21 No 1 (2021): Januari 2021
Publisher : Department of Economics-FEB UI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21002/jepi.v21i1.1312

Abstract

This study aims to identify banking vulnerabilities and analyze the factors that influence them. The tool used to identify bank vulnerabilities uses modification crisis and default index (C&D Index) while hypothesis testing uses logit regression. Commercial banks in Indonesia from 2008 to 2018 was taken as sample. As a result, in 2008 and 2013 were the most vulnerable conditions for banks in Indonesia. The reason most banks have been identified as vulnerable is due to decreased profits, increased liabilities in foreign currencies and increased Non Performing Loan (NPL). Logit regression test show that banking fragility is negatively related to capital, liquid assets, and financial assets. ------------------------------ Penelitian ini bertujuan untuk mengidentifikasi kerentanan perbankan dan menguji faktor yang diduga memengaruhinya. Kerentanan bank diidentifikasi menggunakan modifikasi crisis and default index (C&D Index), sedangkan pengujian hipotesis menggunakan regresi logit. Sampel penelitian ini adalah 27 bank komersil di Indonesia periode 2008 sampai 2018. Hasilnya, tahun 2008 dan 2013 adalah kondisi yang paling rentan bagi perbankan di Indonesia. Penyebab sebagian besar bank teridentifikasi rentan adalah karena penurunan profit, peningkatan pinjaman dalam mata uang asing, dan peningkatan Non Performing Loan (NPL). Hasil uji regresi logit menunjukkan kerentanan perbankan di Indonesia berhubungan negatif dengan permodalan bank, aset likuid bank, dan aset keuangan bank.
Kerentanan Perbankan di Indonesia: Pengukuran dan Penyebabnya Wibowo, Wisnu; Zakaria, Amir Ambyah
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 21, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to identify banking vulnerabilities and analyze the factors that influence them. The tool used to identify bank vulnerabilities uses modification crisis and default index (C&D Index) while hypothesis testing uses logit regression. Commercial banks in Indonesia from 2008 to 2018 was taken as sample. As a result, in 2008 and 2013 were the most vulnerable conditions for banks in Indonesia. The reason most banks have been identified as vulnerable is due to decreased profits, increased liabilities in foreign currencies and increased Non Performing Loan (NPL). Logit regression test show that banking fragility is negatively related to capital, liquid assets, and financial assets.