<![CDATA[Poverty is one of the problems faced by all countries, especially developing countries like Indonesia. A study was conducted using the Naive Bayes method to determine the extent of poverty in Kemang Bejalu Village. The Naive Bayes method is used to classify data and calculate the probability of poverty based on certain factors. This research aims to determine whether the accuracy of the results of the Naive Bayes method can be used to predict poverty rates. Calculation of the confusion matrix obtained an accuracy of 86% from 258 data for 3 variables, while in testing the new test data, an accuracy of 90% was obtained using the same variables (i.e., dependents, work, and income). Based on population data for 2022 where, as many as 33% of poor families are able, while as many as 67% of capable families are used to produce a poverty rate of 76% of capable families and 24% of incapable families with a test size of 0.4.]]>
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