This study determines the effect of oil and gas exports, non-oil exports, foreign investment in Indonesia’s economic growth in 2000-2019. The data used is secondary data got from the Central Statistics Agency of Indonesia and Bank Indonesia. Data collection starts from 2000 to 2019. I process the data using the SPSS 16.0 program. The results of the analysis show that oil and gas exports have a positive and significant impact on Indonesia’s economic growth in 2000-2019, non-oil exports have a positive and significant impact on Indonesia’s economic growth. In 2000-2019, foreign investment had a negative and insignificant effect on Indonesia’s economic growth in 2000-2019. Based on the F test, together, oil and gas exports, non-oil exports, and foreign investment have a significant effect on Indonesia’s economic growth in 2000-2019.

This study aims to analyze the influence of economic growth rate, Human Development Index (HDI),  open unemployment rate, and inflation rate to the number of people under poverty line in Province of North Sumatera. This research employs multiple linier regression with Ordinary Least Square (OLS) by using secondary time series data from 2001-2015.             The OLS result shown that all independent variables can properly and simultaneously significant in explaining the number of people under poverty line  in Province of North Sumatera which is indicated by the high of coefficient of determination (R2) and F-statistic. However individually, only HDI and open unemployment rate that significantly influenced to the number of people under poverty  line in Province of North Sumatera. This study indicated that the increased of human development index and decreased of open unemployment rate will be decreasing of number of people in poverty in Province of North Sumatera, vise versa. The policy implications that can be recommended to decrease the number of people under poverty line are to increase the HDI, through improvement of life expectancy index, education index, and income index. The decline of people under poverty line can also done by decreasing the level of open unemployment rate through policies that can expand employment opportunities and promote employment programs.

This study uses multiple linear regression models. The data used is secondary data from the Central Statistics Agency (processed data) and the Ministry of Cooperatives and SMEs (processed data), namely the number of business units, export value, economic growth and the absorption of labor in the MSME sector. Data collection starts from 1998 to 2018. The data analysis used is the multiple linear regression analysis method. The results show that the increasing number of business units will affect increasing the absorption of labor in the MSME sector in Indonesia, the increased export value will affect decreasing the employment of the MSME sector in Indonesia but not significantly, and the increasing economic growth in Indonesia will affect increasing absorption of workforce in the UMKM sector. Based on the results, I can suggest it that the government should encourage the number of business units by cutting interest rates and providing MSME tax relief, business licensing that is not long and easy. Then to increase the export value the government needs to develop human resources. To increase and maintain Indonesia’s economic growth, the government needs to monitor the products produced by MSME players in order to prevent overproduction.

This study examines the effect of real GDP per capita, inflation and interest rates on the number of time deposits at commercial banks in Indonesia. The data used in this study is time series data starting from 2005 to 2019. The analysis method used to analyze is to use multiple linear regression models. The results show that real GDP per capita has a significant impact on changes in the time deposits, while inflation and interest rates do not affect changes in the time deposits. Inflation does not have a significant impact because of the increase in the nominal price of goods and services, which causes people’s purchasing power to decline, while the interest rate is insignificant because of an insignificant increase in interest rates which will make it difficult for businesses to pay interest and liabilities because high interest rates will increase the burden on the company so it will directly reduce company profits.

Investments can be made in various types in the financial market. Some of them are gold, stock, foreign exchange and deposit investments. However, during the COVID-19 pandemic, it is very difficult to make profitable and safe investments. This research was conducted to determine which types of investments are safe to do during the COVID-19 pandemic. By using the Kruskal Wallis test, which is non-parametric statistics, which is an alternative to the one-way ANOVA test that can be used if the sample is not normally distributed. From the results of the Kruskal Wallis Test, it was found that the most profitable type of investment in the financial market during the covid-19 pandemic was stock investment and the results of statistical tests showed that there were significant differences that were profitable from the types of investments in gold, stocks, and foreign exchange.