Muti, Delviana (2023) Analisis Perbandingan Metode Naive Bayes dan K-Nn Dalam Klasifikasi Kelayakan Keluarga Terdaftar Dtks Penerimaan Bantuan Sosial Di Desa Dubesi. Undergraduate thesis, Fakultas Teknologi Informasi Universitas Merdeka Malang.

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Abstract

Indonesian Social Assistance Coordination is a government assistance program based on the Indonesian government regulation No. 60 of 2014 concerning budget savings based on state revenues and expenditures. In Dubesi Village, which is located in Nanaet Dubesi District, Belu Atambua Regency, East Nusa Tenggara Province, calculations for eligibility or ineligibility for social assistance recipients are still manual, there are several problems that occur regarding mistargeting caused by errors in families who are eligible or ineligible for social assistance recipients. This study aims to analyze the comparison of the Naive Bayes method and the K-NN method in the classification of the eligibility of registered families of social assistance recipients in Dubesi Village. The research uses the Naive Bayes and K-NN methods. It was found that out of 80 test data information, Naïve Bayes has an accuracy value of 82% and a precision of 89% while K-NN (K-Nearest Neighbor) has an accuracy value of 70% and a precision of 73%. The management of Dubesi Village Office can use the contribution of this research to evaluate the eligibility of families registered as social assistance recipients in Dubesi Village, Nanaet Dubesi Sub-district, Belu Atambua Regency.

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