Decision Support System to Determine Feasibility of Rice Aid Recipient Group Based on K-Means
DOI:
https://doi.org/10.52731/liir.v005.207Keywords:
cluster, decision support system, k-mean, poor, riceAbstract
Poverty is a crucial social problem in many countries. High economic inequality can lead to social instability. The Indonesian government seeks to alleviate poverty through the Rice for the Poor program. However, aid distribution is often off-target. This study proposes a decision support system based on the K-Means method to determine the group of poor rice recipients. The system was developed by following the user's functional requirements, in this case, the Banjarmasin City Social Service. This study involved 50 respondents as a test sample to evaluate the performance of the proposed system. In addition, this study conducted accuracy tests to assess the accuracy of system processing results. The test results show that the system's accuracy in distinguishing qualified and non-qualified candidates further strengthens its potential use in facilitating the allocation of social assistance to those in need.
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