This study aims to provide an attempt by raising a framework for assessing the digital technology perspective in the application of Financial Technology by consumers, especially in the era of the Covid19 pandemic in 2020 in Indonesia. Digital technology in Fintech in collaboration with online transportation is utilized by quite a few big firms in Indonesia to meet the needs of consumers during strict, large-scale restrictions but not lockdown. This paper mainly acknowledged the problem related to digitizing solid digital technology which prioritizes technology 4.0. Digital technology applications, especially among the millennial generation regarding the accessibility, pace and value of financial services are increasingly in demand. This research spent 5.5 months with millennial respondents who are accustomed to using everyday technology applications in Jakarta, Depok and Tangerang and surrounding areas. The method of analyzing data in a quantitative way to find findings is complemented by discussion. The findings prove that; All variables have positive strong effect on driving the choice of digital FinTech technology in ordering food and others to survive during the pandemic of COVID-19. The existence of digital-based technology applications related to the internet, big data, smart mobile phones, safe and comfortable technology power has motivated consumers to use them. In conclusion, there are several new business opportunities open to newcomers in the digital financial sector and other accessories using information systems and information ecosystems.

The purpose of this study is togive the alternative solution to the regime about the new model of extention that increased literacy, education participation, and access to clean water in reducing poverty disparities.The methodology used was an econometric approach with a multiple regression equation model with robustness provisions. The data analyzed in this study covered 501 districts and cities throughout Indonesia in 2018. The calculation results prove that the model has been robust and all variables selected have a significant effect on the degree of freedom of 5% for all districts and cities in Indonesia. The results of this study suggest that education policy priorities, the avail-ability of clean water and adequate distribution are needed to reduce the poverty gaps.

There are 3 phenomens of most economic which undivided that openess and international trade and economic growth. Openess is the first frame for most country to do consolidation for its capability and weakness. International trade have able support high economic growthsignificantly. This paper would like to inform us about development of international economic from Classical Economic era to Modern International Economic (integration of endogenous growth and trade). The analyzis is not only comparative static approach but alsointertemporal approach. Scientificly the country’s advantage of modern international trade is not only analyzed for technology and specialization but also countries’s factor share.  Generally, all countries tend to the long term equilibrium in the balance growth path.Therefore, each country and rest of the world will able to meet welfare economy not only individually but also international.Keywords: Technology, International Trade, Economic Growth, Balance Growth Path, Factor Share, Total Productivity, Bang-Bang Control.

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This study discusses the approach to poverty alleviation that occurs in Indonesia, reviewed by using four variables that match the situation. The simulation based on our approach model applies an integrated and multidimensional approach that combines elements of various approaches to alleviating the poverty. This research uses cross-sectional data from 501 regencies and cities the Republic of Indonesia. The data is analyzed using OLS multiple regression with robustness. In addition, this study offers policies for the government to design, manage, and implement poverty alleviation programs. This study enriches the poverty alleviation literature in knowledge capture and sample adequacy. The findings of this study indicate that not all selected independent variables affect the poverty. There are four variables studied in this study, namely, literacy, electricity energy, and GDRP with oil. From the four variables, only three significantly affect the poverty as dependent variable. The most surprising thing is that the special allocation fund variable has an expected sign on its coefficient contrary to the hypothesis. Therefore, the special allocation fund does not support the poverty alleviation throughout the cities and districts in Indonesia. Findings of this study confirm, to some extent, the complementarity of the independent variable to the dependent variable and various approaches to poverty alleviation that need to be employed comprehensively.