Analysis of Social Assistance During the COVID-19 Pandemic

Abstract

This research focuses on the Ministry of Social Affairs in distributing social assistance. This study aims to find out how the process of distributing social aid carried out by the Ministry of Social Affairs has been going well following the procedures. And during the distribution, there were any obstacles that hindered the distribution process so that the distribution of social assistance was not right on target. The method used in this research is descriptive qualitative using online news media as data processed through NVivo 12 Plus software. This approach was chosen to see the extent to which the Ministry of Social Affairs was distributing social assistance to people affected by the COVID-19 pandemic with indicators of resources, bureaucratic structure, communication, and commitment as comparison material. Based on the data analysis that has been carried out, the bureaucratic structure is a major problem that causes delays in the distribution of social assistance with a percentage of 81.25%, not without reasons for lack of accountability and the occurrence of abuse of office by bureaucrats who control the distribution of social assistance and use the situation to commit acts of corruption. Furthermore, Resources became the second factor that caused the distribution of social assistance not to go well with a presentation of around 37.50%. Furthermore, the results of data analysis with the commitment indicator, which is not much different from the bureaucratic structure, become the third reason for the problems in the distribution of social assistance due to factors from the stakeholders in the distribution of social service who lack a strong commitment with a value presentation of around 21.25% as the primary basis in implementing responsibility. In contrast to the results of data analysis from the communication indicator, 18.75% is the lowest problem in the distribution of social assistance by the Ministry of Social Affairs to the results of data analysis from the communication indicator of 18.75%.