This study discusses the variables that can determine the growth of bank credit in Indonesia. The selected independent variables are the control of third-party funds and operating costs on credit growth. The analytical method used is multiple regression with Probit analysis to see the lag-1 and lag-2 data categories. The results obtained that the Control of Third Parties Funds and Operational Costs on Credit Growth obtained significant results according to the simultaneous hypothesis testing. It means that the third-party funds and the operating costs affect credit growth. Meanwhile, the third-party funds partially influence the dependent variable, namely credit growth. Finally, the operational costs partially influence the dependent variable, namely credit growth.

In this study, the factors to be researched are internal factors related to financial ratios such as market ratios namely Price Earnings Ratio, Leverage Ratio namely Debt to Equity Ratio, and Profitability Ratio namely Return on Assets (ROA) as variables that affect Stock Prices in real estate companies in Indonesia Stock Exchange. The data used are secondary data from time series that have been transformed from the Indonesia stock exchange. The method used is multiple regression with OLS, to find how much the influence of independent variables have as driving forces on stock prices. The results obtained from this study are price earnings ratio, debt to equity ratio, ROA simultaneously affect the stock prices of Real Estate companies in the Indonesian stock exchange. Meanwhile, partially, the three variables deserve to be the driving factor for share prices in real estate companies at the Indonesia Stock Exchange.

The poverty becomes a serious problem because of the impact it causes. The factors that affect poverty are economic growth, low education, the limitation of natural resources, the limitation of employment opportunities, capital, and family burdens. All of these factors constitute a vicious circle in the problem of poverty. The problems studied are lag-1 investment, lag-2 investment, employment opportunities, and provincial minimum wages and their effects on the poverty rates in Riau Province, Indonesia. The fundamental problem faced by Riau Province today is the high level of poverty amidst government policies that have not met the expectations. The purpose of this study is to analyze government policies in order to reduce the poverty. The research method used was an explanatory study or hypothesis testing study that aims to explain and test hypotheses for the relationship among variables. The relationship described is a causal (cause-effect) relationship. The data were arranged in the form of time series during 1997-2018. The research model was formulated as a linear function based on the Nerlove's Partial Adjustment Model approach and was recursively analyzed using linear regression through the Ordinary Least Square (OLS) method. The findings of this research model are lag-1 investment, lag-2 investment, employment opportunities, and provincial minimum wages have a significant effect on the poverty rate in Riau Province.