Jurnal Ilmiah Klasifikasi Masyarakat Miskin Menggunakan Metode Naive Bayes
Classification of the Poor Using the Naive Bayes Method
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The main problem in poverty reduction efforts today is related to the fact that economic growth is not evenly distributed. This study will classify based on the data of poor people obtained from Tibawa District using data mining techniques. Attributes that will be used in classifying populations are Age, Education, Job, Income, Dependency, Status (Married / Not Married). The method that will be used is the Naïve Bayes Classifier method, which is one of the classification techniques in data mining. Based on the results of the study, it can be concluded that, the classification system of poor people in the administrative area of Tibawa sub-district, Gorontalo regency can be engineered and based on the results of confusion matrix testing with multiple validation techniques, naïve bayes use. % or included in the Good category. Whereas the Precision is 92% and Recall 86%.