![]() ![]() ![]() The data sample used is the data of Rukun Warga 001, Kelapa Dua Village. The K-Means Clustering algorithm is used to classify people who are classified as eligible to receive social assistance and those who are not entitled to receive social assistance. In this study, to implementing data mining with the K-Means Algorithm. The data on the poor are not in accordance with the actual conditions. In the neighbourhood of Rukun Warga 001, Kelapa Dua Village, there are still obstacles in selecting the eligibility for social assistance recipients, namely Non-Cash Food Aid. In carrying out the program, the central government and local governments coordinate with each other so that the program is right on target without any element of fraud. ![]() ![]() Social assistance is a government program to improve the social welfare of the lower economic community. In Indonesia, the Large-Scale Social Restriction (PSBB) policy is reported to have increased the number of poor people. Social Assistance, COVID 19, K-Means Clustering, Data Mining AbstractĪll countries in the world are currently experiencing a severe economic crisis following the outbreak of the COVID-19 outbreak. ![]()
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