Purpose: The purpose of this article is to examine the impacts of the COVID-19 pandemic on social and economic mobility occurring in Indonesia. The research illustrates that the effects of the pandemic are strongly felt in mobility in the socioeconomic sectors. Design/Methodology/Approach: To give answer to the research question whether COVID-19 pandemic has impact on socioeconomic mobility in Indonesia, firstly, we review the literature to find out what different scholars have found in recent researches concerning this subject as well as the current issue and the methods and models used in collecting, processing, and analyzing data. The processing of the data of the above-mentioned reports has been done by SPSS software program, specifically using regression. Findings: The possible impacts caused a decrease in socioeconomic activities and reduced community income. The results of the correlation analysis showed that there was a strong relationship between a pandemic tested positive for COVID-19 and mortality rates with socioeconomic conditions with an average correlation coefficient above 0.80. Practical Implications: This paper will provide a detail analysis of the impact of COVID-19 on socioeconomic mobility, with this impact, government policies relating to human life, economic policies to increase state expenditure (government expenditure), and tax incentives must be made. Furthermore, monetary policy that can accelerate the increase in production by reducing the cost of production through the cost of capital and reduce energy prices becomes an essential choice. Originality/Value: This research paper highlights an empirical analysis based on real data of socio economy mobility in Indonesia.

Forest fires in Indonesia are of a local, national, and global concern, which is why the activities of local actors have emerged as a new problem in Indonesia, especially in Kalimantan. The current study employed a network content analysis method to examine the involvement of actors in forest fire cases based on Supreme Court decisions, complemented by several reputable online news sources such as kompas.com, detik.com, and tribun.com. By examining the cases, the actors involved were able to be identified as key actors, contest setters, and subject actors. Key actors, referring to companies and landowners, were found to have high correlations between one another. Moreover, key actors were observed to be involved in providing funds for land clearing or burning, yet they remained legally untouchable. Meanwhile, contest setters—permanent employees—were found to be the most involved in land burning/clearing, and they were often convicted in the Supreme Court rulings as they were merely commoners, farmers, and jobseekers in need of cash. Nevertheless, the subject actors, i.e., jobseekers and farm workers, were seen to have a weak relationship with key actors in the Supreme Court rulings, particularly in terms of forest burning and its operational funding.

This study's bibliometric analysis evaluates the scope and trends of theory-related policy publications in various international journals. The method used the Scopus search engine on random journals in identifying policy-related publications. The study also used a data visualization software called VOSviewer to analyze the results, underlying network linkages, and information production trends in policy analysis. The findings shows that only a few proportions of policy-related researches apply theories in their study. Field-specialized journals were having practitioners publish less research as compared to interdisciplinary science and technology journals. This article calls for greater engagements among scholars, and for policy researchers to more explicitly consider how their work might contribute to the understanding of the policy challenges. The findings also shows that it is important to recognize the approach and theory behind policy development to determine the incremental nature of aspects involved in policy development. It is extremely valuable to be clear that if one deals only with conceptual level of policy research without testing those ideas against independent empirical information, then scientific theory development is not possible. Thus, failure to consistently and clearly make theory connection towards policy research is a lost opportunity for scholars to influence policy thinking and public argument. Doi: 10.28991/esj-2021-01261 Full Text: PDF

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The research aimed to explain the pattern of social communication on the issue of rejection of the PLTU Batang development policy. It used data on Twitter accounts involved in the rejection of the PLTU Batang development policy. In analyzing existing data, qualitative methods and social analysis networks were used. To see social networks in the rejection of the PLTU Batang development policy, the research used the NodeXL application to find out the patterns of social communication networks in #TolakPLTUBatang. From the results, it can be seen that in the dissemination of social networking information, the @praditya_wibby account is the most central account in the social network and has a strong influence on the social network. The @praditya_wibby account has a role in moving the community through Twitter to make a critical social movement. This means that in the current digital era, democracy enters a new form through the movement of public opinion delivery through social media. Besides, by encouraging the role of online news, the distribution of information becomes faster to form new perceptions of an issue. This is evident from the correlation network where the @praditya_wibby account has correlations with several compass online media accounts, tirto.id, okezonenews, vice, antaranews, BBCIndonesia, and CNN Indonesia.

This paper aims to review numerous scientific papers on watershed governance published in globally recognized journals. Moreover, the overview article in this report is intended to conceptualize a study on COVID-19 government policy, which is explained by the following questions: (1) What are government policy answers on the relation and clustering of issues? (2) In the current government policy on COVID-19, what is the dominant issue? The results of the analysis of research papers show that the handling of COVID-19 around the world takes on “measures” or tactical policies with nine (9) dominant forms. The willingness of bureaucratized departments of public health to adapt to an outbreak helps state-of-the-art biomedical research and epidemiology to form policies. Each policy action entails insecurity and typically a great deal.

The development of artificial intelligence has become an important issue in this era. However, the development of artificial intelligence is growing evenly, especially in Asian continents. A lot of countries develop artificial intelligence because artificial intelligence provides a lot of benefits. Hence, the Government makes various strategies to develop artificial intelligence in their country. Almost the country utilizes three sectors, such as the education sector, private sector, and the government sector, to develop artificial intelligence. Nevertheless, there are different approaches to develop artificial intelligence. Singapore prefers to utilize government sectors than the education sectors and private sectors. Then, the UK prefers to utilize education sectors than private sectors and government sectors. Different from Singapore and the UK, the USA prefers to utilize two sectors, which are very significant support by the education sectors and private sectors.

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