Purpose: To find out the influence of macroeconomic and company fundamentals on sharia banking performance in Indonesia. Research Methodology: The regression test was used to analyze the monthly data of BI, BPS, and OJK in 2014-2018. Independent variable of macroeconomic was proxied by inflation, exchange rate, GDP; corporate fundamentals by CAR, FDR, BOPO, NPF, DPK; while performance as dependent variable by ROA. Results: Inflation and BOPO negatively and significantly influence ROA; while the exchange rate, GDP, CAR, NPF, DPK, FDR are not significant. Limitations: This research was conducted in the Islamic banking industry in Indonesia by using the variables of the company fundamentals and macroeconomics. Contribution: This research is useful for policy-making and research of sharia banking in Indonesia. Keywords: Performance, Macroeconomics, Corporate fundamentals

This study was conducted to analyze the effect of central government transfers on regional taxation efforts covering districts/cities in Indonesia in the 2015-2019 range after the enactment of Law Number 28 of 2009 concerning Regional Taxes and Regional Levie/ Pajak Daerah dan Retribusi Daerah (UU PDRD). This study uses a quantitative analysis approach, with an econometric model of panel data regression (unbalanced panel. The data used is in a span of 5 years, starting from 2015 to 2019 in regencies/cities in Indonesia except for cities in DKI Jakarta Province. The dependent variable used is Tax Effort is used, while the variables used in this study include General Allocation Fund/ Dana Alokasi Umum (DAU), Special Allocation Fund/ Dana Alokasi Khusus (DAK), Revenue Sharing Fund/ Dana Bagi Hasil (DBH), Population, Poor Population, and Administrative Status. Based on the results of panel data processing using regression analysis techniques, it shows that the central government transfer funds allocated to the regions through the General Allocation Fund (DAU) and the Special Allocation Fund (DAK) have a negative effect on tax effort, while the Revenue Sharing Fund (DBH) has a negative effect on tax effort. positive on regional tax effort. In addition, the results of the study also showed that the population had a negative effect on the tax effort, the number of poor people had a positive effect on the tax effort and administrative status which indicated whether the area was included in the status of a city or district area did not affect the regional tax effort. With the research results obtained, it can provide an overview of the behavior of local governments in responding to the mechanism of fiscal decentralization, especially with the many types and amounts of transfer funds to the regions, coupled with the transfer of authority to manage Rural and Urban Land and Building Taxes/ Pajak Bumi dan Bangunan Perdesaan dan Perkotaan (PBB P2) and Land Rights Acquisition Fees and Buildings/ Bea Perolehan Hak Atas Tanah dan Bangunan (BPHTB) become part of the district/city local government.

<p><em>This research aims to analyze the factors that influence Inflation towards ASEAN 5 countries, i.e. Indonesia, Malaysia, Singapore, Thailand, and Philippines 2000-2014. This research is using methods of analysis panel data to determine the factors the influence the Inflation inflows in ASEAN-5. The factors that influence Inflation are Money Supply, Interest Rate, Exchange Rate, and Gross Domestic Product. Based on the analysis panel data result shows that Money Supply and Gross Domestic Product have the negative and significant impact to Inflation in ASEAN-5. Interest Rate has a negative and significant impact to Inflation in ASEAN-5. Exchange Rate has a positive and not significant impact to Inflation in ASEAN-5.  </em></p>

One of the main drivers of a country's economic growth is monetary policy. The purpose of this research is to see if the monetary policies implemented by the central bank during the covid 19 pandemic had an impact on Indonesia's growth, as measured by macroeconomic factors. Based on the processing results, the independent variable used influences economic growth by using time series and dummy data for the period before and after the Covid-19 pandemic during the 2015-2020 period. Monetary policy, interest rate, inflation, exchange rates, and the Covid-19 pandemic dummy are all factors that influence economic growth. Interest rates, on the other hand, have no effect. Due to the significant risk of economic uncertainty, it is clear that the strategy of decreasing interest rates, which is meant to encourage investment, has no effect on the economy during the pandemic. The implication of this study shows that the fiscal policy carried out by the government is appropriate to increase people's purchasing power.

<p>Economic growth is an indicator that is important in analyzing the economics development in a country. Economics growth shows how economic activities will generate additional income for a society in a certain period.This research aims to investigate what factors that determine economics growth in ASEAN, during 1995-2012. ASEAN-6 (Indonesia, Malaysia, Singapura, Thailand, Philipina, dan Vietnam) are chosen to be the object of this research. This research is divided into two main parts. The first part is discussed about the determinant factors of economics growth in ASEAN-6 generally, and the second part is the partial analysis in each country, so it is expected that each country could formulate the appropriate policy according to each condition. By using panel data analysis and STATA 11 as the software, it is seen that gener­ally, factors determine economic growth in ASEAN-6 are the growth of GDP, <em>trade open­ness</em><em>, gross fixed capital formation</em>, and  inflation rate. From partial analysis result, country with the highest economics growth is Vietnam, followed by Indonesia, Malaysia, Singapora, Philippine, and the last is Thailand.</p>