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The events of the covid-19 pandemic produce an uncertain future. This has a very far-reaching influence on capitalization of capitalization and also social problems such as increasing levels of violence and crime rates. The purpose of this study is to analyze government policies regarding reactions due to inflation, especially in Indonesia. Inflation rate has a negative effect on the reaction load. The inflation rate affects the response because when the stimulus increases, inflation will decrease and vice versa. There are several government policies in overcoming pressure due to inflation, namely creating jobs, changing the investment climate, spreading several economic stimulus, and improving the quality of human resources through education.    

Inflation is closely related to unemployment and the economic performance of a country. The relationship between the inflation rate and unemployment affects decisions to be taken in financial policy. The purpose of this article is to analyze government policies in Batam City regarding the threat of unemployment in inflation in 2018-2020. The method we use is library research. From the results of our analysis, we find that the highest unemployment rate is in 2020 at 11.79% . And the movement of inflation has increased and decreased. We also analyze the policies that can be taken by the Batam city government in overcoming this problem.  

Unemployed are people or people who have not got a job, are looking for work and have lost their job or are not working at all. This study aims to analyze Government Policy Related to the Threat of Unemployment Post-Inflation Increase in DKI Jakarta. The research method used in this research is by using quantitative methods. The object of analysis will be obtained from BPS or the Central Statistics Agency. BPS is an institution that deals with censuses and statistics. The results show that the numbers can affect a state's income because not having income can cause economic problems and poverty. Therefore, government policies are urgently needed to overcome this unemployment.  

This research to analyze the contribution of variables from three economic policies, with monetary policy through interest rate variables, exchange rates, and money supply in facing economic recession. Where the fiscal policy variable is through tax value. Then macroprudential policy through Non Performing Loan and Capital Adequacy Ratio variables. This study uses secondary data or time series, namely from December 2019 to February 2021. The data analysis model in this study is the Vector Autoregression (VAR) model which is seen from being sharpened with Impulse Response Function (IRF) analysis and Forecast Error Variance Decomposition (FEVD), Panel ARDL, and Different Tests. The results of the IRF analysis show that the stability of the response of all variables is formed in period 8 or the medium and long term, where the response of other variables to changes in one variable shows different variations, both from positive responses to negative responses or vice versa, and there are variables whose responses remain positive or remain negative from the short term to the long term. The results of the FEVD analysis show that for the short-term inflation variable it is influenced by inflation itself and in the medium and long term it is influenced by interest rates. For the JUB variable in the short term it is influenced by JUB itself and in the medium and long term it is influenced by NPL. For the interest rate variable in the short term it is influenced by JUB while in the medium and long term it is influenced by the exchange rate itself and CAR. For the tax variable in the short, medium and long term it is influenced by the tax itself and JUB. For the NPL variable in the short, medium and long term it is influenced by JUB and tax. For the CAR variable in the short, medium and long term it is influenced by JUB and tax. Then the results of the ARDL Panel analysis show that the country that is able to become a leading indicator in controlling the economic recession in the Four of The Group Twenty, namely Turkey, is only done by interest rates. While South Africa is done by interest rates, taxes, NPL, and CAR. For Russia, it is done by all variables, namely the amount of money in circulation, interest rates, exchange rates, taxes, NPL, and CAR. Meanwhile, Indonesia is carried out by exchange rates, taxes, NPL and CAR.

As a developing country, Indonesia has an economic structure dominated by the agricultural sector, making it vulnerable to disruptions to economic stability. Economic growth is an indicator showing that the economic level of society in general has increased in terms of consumption habits and people's purchasing power for goods and services. However, excessive consumption leads to a consumer society and inflation. This study aims to look at the causality between inflation, consumer price index, interest rates, gross domestic product, and exchange rates using the time series approach in the form of the quarterly period 2014Q1 to 2022Q2 in Indonesia using the VAR (Vector Autoregression) method. The research results show that inflation is related to or influenced by the consumer price index and savings. As for the Exchange Rate, Gross Domestic Product and Interest Rates have no effect on inflation.

The object of this research is Economic Growth in Central Java. This study aims to analyze the effect of foreign investment, inflation, and the consumer price index on economic growth in Central Java. The data used is time series data from 2015-2019 published by Bank Indonesia, the Central Bureau of Statistics, and the World Bank. The analytical method used in this study is a multiple regression analysis tool with the Ordinary Least Square (OLS) method approach. Based on this study it was concluded that inflation has a significant effect on economic growth in Central Java, while the exchange rate and investment have no significant effect on inflation in Central Java.

The aim of this study is to analyze and measure the factors affecting Indonesia's economic growth rate by focusing on a number of factors, such as the human development index and inflation. The study use eviews10 software with its fixed effect model (fem) to see its enormous value of determinations and correlation between non-monetary variables and variables. The data studied came from the statistical central body in Indonesia, as well as several literature studies ranging from 2017 to 2021. From research and theoretical studies itis concluded that in 2017-2021 there is no effect between the human development index and inflation and economic growth in Indonesia.  

The purpose of this study was to find out the relationship between GDP, inflation and exchange rates on imports in Indonesia in 1991 – 2020. Import is the process of legally transporting goods or commodities from one country to another, generally in the process of trade. If in a country imports increase then the country's national income will decrease. Countries that often import are developing countries, for example Indonesia. Therefore, the method that can be used is the VAR method. and the data used is quantitative data, because the data used to calculate the effect on import variables. The source of financial data is used as secondary data, which is data obtained from official sites or websites. The results of this study are that the inflation variable has a greater relationship than GDP and exchange rates.

The high population in Indonesia continues to increase, resulting in an increase in the number of existing workers. The current high number of workers exceeds the existing number of job opportunities. The supply of labor that is greater than the demand for labor will result in an increase in the number of unemployed. A large number of unemployed can result in various socio-economic problems in society such as crime and others. This research aims to find out the influence of Investment, Minimum Wage and Inflation on Unemployment in Indonesia. Using data for five years from 2019 to 2023. The data analysis technique used is secondary data processing using SPSS 25. 

This community service aims to assist 25 Micro, Small, and Medium Enterprises (MSMEs) in the Ciung Wanara tourist location, Ciamis district, boost their sales turnover in 2022. The method is carried out by providing socialization, offline discussions, and training, as well as digital materials. Make-up. Micro, Small, and Medium Enterprises (MSMEs) are an important part of the Indonesian economy. This type of business is very stable, not affected by inflation, flexible, and not overly reliant on the macro-financial system. The role of digital marketing facilitates MSME actors' ability to provide information and interact directly with consumers, expand market share, raise awareness, and increase sales turnover. MSME actors in Ciung Wanara gain insight as well as depth of understanding into digital marketing as a result of this community service. They already have business Google accounts, Instagram accounts, and other accounts on social media to reach out to a larger viewer.

Pada Agustus 2022 inflasi sudah mencapai angka 4,69, dengan adanya kenaikan BBM dan diikuti dengan kenaikan tarif transportasi bisa mengerek inflasi jauh lebih tinggi lagi. Indef telah menghitung jika kenaikan tarif ojek online bisa memicu kenaikan inflasi hingga 2%, maka secara makro akan mengurangi PDB hingga Rp1,76 triliun dan menyebabkan gaji atau upah tenaga kerja nasional secara riil turun 0,0094%. Keputusan kenaikan tarif ojek online tertuang dalam Keputusan Menteri Perhubungan (KM) Nomor KP 564 Tahun 2022 Tentang Pedoman Perhitungan Biaya Jasa Penggunaan Sepeda Motor yang Digunakan untuk Kepentingan Masyarakat yang Dilakukan dengan Aplikasi. Penyesuaian biaya jasa penggunaan sepeda motor yang berlaku mulai 10 September 2022 akan mendorong inflasi, selain itu kenaikan tarif ojek online juga akan mendorong masyarakat pengguna ojek online pindah ke moda transportasi lain atau bahkan kendaraan pribadi. Jika banyak masyarakat yang beralih menggunakan kendaraan pribadi akan menambah kemacetan dan kerugian ekonomi,