Klasifikasi Jenis Penyandang Masalah Kesejahteraan Sosial Menggunakan Naïve Bayes

Abstract

The main need in formulating policies, programs, and social welfare development activities is the data of Persons with Social Welfare Problems, known as PMKS. Every person in a very poor household has more than one category of PMKS type. This will have an impact on the type of assistance that deserves, while each individual can only be categorized into one type of PMKS. Thus, each person will only receive one type of assistance. The type of PMKS with family approval is determined based on 12 criteria namely age, gender, marital status, employment, education, adequate breastfeeding, immunization, healthy food, medication, disability conditions, single parents, and attention from the family. In an effort to optimize variations in the types of PMKS, the Naïve Bayes method is used. Based on research conducted, the completion rate from the use of the naïve bayes method was 83.87%. Thus it can be announced that the Naïve Bayes classification method can be used for the classification of PMKS types.