Art Original

Klasifikasi Pemberian Bantuan Sosial Tunai Pemerintah Kepada Masyarakat Kurang Mampu Menggunakan Algoritma Naive Bayes (Studi Kasus : Kantor Desa Tanjung Medan)

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The village office is the lowest government agency to collect population data, especially in the process of making family cards (KK), birth certificates, death certificates, migrant certificates, and moving certificates. During the Covid-19 pandemic, the role of the village office was also felt as a distributor of assistance to the community, and also registered for people affected by Covid-19 to get assistance from the Government. Based on the cases that have been faced by the Tanjung Medan Village Office, a system is made to determine which people are eligible to receive government social assistance to the poor by using the nave Bayes algorithm. This study uses 150 training data and 65 testing data, with tests carried out using 65 testing data obtained an accuracy rate of 100%. The system created aims to select people who are more worthy of receiving cash social assistance to be registered with the Ministry of Social Affairs.

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Availability

Detail Information

Call Number

Informatika 519.7 And k

Language

Indonesia

NPM

173510556

Publisher

Teknik Informatika : Universitas Islam Riau., 2022

Keyword(s)

Classification
Social Assistance
Naive Bayes Algorithm

Other Information

Petugas

Uthi Kurnia

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