Poverty, pre-employment cards, and AI: Analysis of maximized pre-employment cards program for aceh population in facing the digitalization era

2020 was a scary year for all countries. In this year, the Covid-19 pandemic spread rapidly. The spread of this virus not only affected the health of the world’s people but also spread to other sectors, such as the economic sector. The presence of Covid has an impact on increasing unemployment, as well as poverty. To respond to this, the government has issued various policies to minimize the increase in poverty rates. One of the policies issued is Government Regulation No. 36 of 2020 concerning the development of work competencies through the pre-employment card program. This study aims to determine the extent to which the poverty alleviation and unemployment model of the pre-employment card works after COVID-19. This study uses interviews and literature surveys as data collection techniques. The data taken are not only primary data such as BPS data, interview results, and Social Service data but also collected through secondary data. Based on the results of the study, it can be concluded that the pre-employment card can reduce unemployment by 10%, namely from 160,562 people to 150,172. However, the author found weaknesses in the implementation of the model, including: first, the lack of relevance of the training materials received by the community, so that the community considers the training provided to be not so important; second, the government as a catalyst for providing employment, must also provide space for prospective workers; Third, there is supervision and follow-up of the development of training participants.