Micro, Small, and Medium Enterprises (MSMEs) are business activities capable of expanding employment and providing the economic services for society widely, and also play roles in equalizing and increasing people's income, encouraging economic growth, and realizing national stability. Micro, Small and Medium Enterprises (MSMEs) also play an essential role in improving the community's economy at the city and regency levels. This study aims to analyze the empirical evidence that the capabilities and environmental factors carried out by MSMEs have a positive effect on innovation, both product innovation and process innovation. The method used in this study is the Structural Equation Model PLS analysis. The population in this study is the total number of MSMEs which registered with the Department of Trade and Industry in 2020 as many as 31591 businesses. The data collection technique is done by distributing questionnaires. Measurement models are assessed by testing the reliability of each item, converging validity and discriminant validity. The results of the analysis show empirical evidence that innovation capability and environmental factors carried out by the MSME sector have a significant positive effect on innovation, both product innovation and process innovation. This study concludes that innovation capability and environmental factors in the MSME sector can increase innovation and have an impact on the sustainability of MSMEs. The contribution of this research is that the capability of innovation and environmental factors can increase the innovation made by MSMEs.

This study aims to determine the effect of economic growth (x), on the human development index (y) in South Sumatra in 2016-2020. The data used is secondary data from the Central Statistics Agency. The analytical method used is panel data regression. The results of the t test show that economic growth (x) has a positive and insignificant effect on the human development index (y). The results of the coefficient of determination test show that the dependent variable can be explained by the independent variable by 32.58% and the remaining 67.42% is explained by other factors outside this model.

This study aims to analyze the amount of income through business diversification as well as scenarios for increasing income in business diversification during the Covid-19 pandemic. The research method used is the survey method, the sampling method used is a snowball and the number of respondents is determined by purposive sampling with 100 respondents. The study results show that the amount of optimization of the income of lowland rice farmers during the Covid-19 pandemic at a business diversification of 1 Rp. 29,130,500.00, business diversification 2 Rp. 19,007,006.29, business diversification 3 Rp. 8,301,257.48, business diversification 4 Rp. 14,877,500.00. The amount of farmer's income after the scenarios for business diversification 1 is carried out with additional capital of Rp. 1,870,000 so that the optimal allocation result will be an increase in income of Rp. 2,871,644.88 or 9.86%. Business diversification 2 is carried out with additional capital of Rp. 750,000 and a reduction of the workforce by 5 JOK so that the optimal allocation result will be an increase in income of Rp. 1,472,001.57 or 7.74%. Business diversification 3, it is carried out with additional capital of Rp. 370,000 and the addition of 4 JOK workers so that the optimal allocation result will be an increase in income of Rp. 978,173.65 or 11.78%. Business diversification 4 is carried out by increasing the land area by 0.25 so that it becomes 1 hectare and increasing capital by Rp. 500,000 so that the optimal allocation of income increases by Rp. 733,061.37 or 4.93.

This study aims to analyze the factors that influence farmers' decisions in participating in rice farming insurance  in Buay Madang Timur Sub-District. The type of research used in this study is a quantitative descriptive method. The data analysis used in this study is multiple regression analysis. The results showed that the factors of farming experience, owned land area, number of family members, age of farmers, level of education, role of extension workers, income of rice farming businesses, success of claims, difficulty of registration and claims had a significant effect on farmers' decisions in participating in the Rice Farming Insurance(RFI) program in Buay Madang Timur Sub-District, Ogan Komering Ulu Timur Regency. The factor that most influences farmers' decisions in participating in the Rice Farm Insurance (RFI) program is the role of extension workers with a standard value of the partial regression coefficient of 6,049.

This study aims to determine the effect of poverty (x), on the human development index (y) in South Sumatra in 2016-2020. The data used is secondary data from the Central Statistics Agency. The analytical method used is panel data regression. The results of the t test show that poverty (x) has a negative and significant effect on the human development index (y). The results of the coefficient of determination test show that the dependent variable can be explained by the independent variable by 12.03% and the remaining 87.97% is explained by other factors outside this model.