Industry 4.0 has influenced the process of human communication from face-to-face to virtual. The communication process aligns with the Cyber-Physical System (CPS) concept. The CPS concept shows what is physically represented in cyberspace and vice versa. This has resulted in content production and distribution in the mass media adopting technological developments summarized in the CyberPhysical and Smart Factory systems. The adoption of technology that the mass media should carry out is a challenge for the sustainability of the media industry to carry out the function of the press. Thus, this article offers forms of technology adoption in the mass media using the literature review method in previous studies. The literature review results in this article offer technology adoption in the mass media from the perspective of industry 4.0. The form of technology adoption is the process of computational journalism as a production action based on Smart Factory. Furthermore, news automation is a production act and a CPS-based news distribution. This production and distribution process should involve the mass media workforce, which requires an approach to technology adoption by humans in the future mass media.

Robot journalism is a form of advanced computer-assisted reporting (CAR) that uses Artificial Intelligence (AI). This technology has been employed by Beritagar.id, one of online media in Indonesia, under the name Robotorial in reporting football match result. This study aims to explain the use of robot journalism and the role of journalists in Beritagar.id. The method used is case study, which collects data through interviewing and tracing related online and offline documents. The result shows that, firstly, Beritagar.id uses AI in its news production. Secondly, although robot journalism in Beritagar.id is applied to Robotorial, it does not not fully implement journalism principles due to lack of ethical awareness found in human journalists. Third, the human role is still needed for writing news stories other than the sports match results.

This study aims to analyze the perception of the people of Nagari North Tandikek about the subsidize provided by the government during the Covid 19 pandemic. The population in this study were people who received assistance from the government which consisted of assistance from the Social ministry of the republic Indonesia, West Sumatra Province, Padang Pariaman Regency, Nagari North Tandikek, and the Family Hope Program, which opened 617 people. The sample in this study found 123 people with a systematic sampling technique. This study uses a descriptive analysis method with a quantitative approach and the type of data in this study is primary data obtained from the collection of questionnaires using a Likert scale. The data analysis technique in this study is descriptive analysis of research variables seen from the average value (mean), standard deviation, maximum, minimum and the analysis of the level of achievement of respondents. The results of this study indicate the lowest public perception of 42.114% (Not Good) with indicators of community expectations with the assistance provided and the highest public perception of 62.602% (Less Good) with indicators of assistance that can improve the community's economy. Meanwhile, the average perception of the people of Nagari Tandikek Utara towards the assistance provided by the government during the Covid-19 pandemic is very low or not good.