The Covid-19 outbreak came suddenly and shocked all humans who live on earth because the rate of spread was so fast and resulted in high mortality and an extremely bad economic impact. The economic impact is very big, especially for the poor. Therefore, to protect the poor and vulnerable from the impact of the COVID-19 pandemic, the government of Indonesia has designed several social protection security programs. One of them is the Village Fund Direct Cash Assistance or “BLT” (Bantuan Langsung Tunai -Dana Desa), which is financial assistance sourced from the Village Fund and is aimed at poor and vulnerable people who have difficulty fulfilling their daily needs, especially due to the COVID-19 outbreak. So far, the process of selecting people who receive assistance has been done manually by considering several criteria that must be met by these community members. Because the feasibility assessment process is carried out manually, the process is less effective and less efficient. Thus, this research aims to assist the assessment process to determine assistance for the poor by using a decision support system so that the process can be carried out more efficiently and effectively. . The result of the research is a DSS model for determining direct cash transfers for the poor.