Applying the Fuzzy Tsukamoto Method to Determine Eligibility for Village Fund BLT (Direct Cash Assistance)

The Village Fund Direct Cash Assistance (BLT DD) is a government program aimed at supporting rural communities by improving their economic conditions and quality of life. According to Indonesian regulations, there are five categories of eligible beneficiaries, including those who have lost their livelihood, have a chronically ill or disabled family member, are not receiving assistance from the Family Hope Program, live in households with a single elderly member, or are female-headed households from extremely poor families. However, the regulation lacks clear criteria regarding the income threshold for extreme poverty, creating uncertainty during the beneficiary selection process. This study proposes the use of the Fuzzy Tsukamoto method as a decision support tool to assist verification officers in determining the eligibility of potential BLT DD recipients. The Fuzzy Tsukamoto method, based on fuzzy logic principles, allows for degrees of truth and membership, enabling more nuanced decision-making in conditions of uncertainty. By applying this method, the selection process can become more objective, transparent, and aligned with the actual socioeconomic conditions of rural residents. The research is expected to contribute to the accurate targeting of government aid and to help reduce poverty in rural areas. Additionally, this study enhances understanding of fuzzy logic applications in social assistance programs and highlights its potential for broader use in complex decision-making environments.