Jurnal Sistem Informasi dan Teknologi Informasi
Vol 2 No 2 (2023): Journal of information system and information technology

Implementasi Data Mining Dengan Implementasi Data Mining Dengan Naïve Bayes Untuk Prediksi Penerima Bantuan Langsung Tunai (Blt) Warga Desa Xyz: Implementasi Data Mining Dengan Naïve Bayes Untuk Prediksi Penerima Bantuan Langsung Tunai (Blt) Warga Desa Xyz

Wulan Dari (Unknown)

Article Info

Publish Date
21 Mar 2024

Abstract

Xyz Village officials carry out a program from the government to distribute Direct Cash Assistance (BLT) to underprivileged people in Medan Tembung District. The BLT program is a government assistance program in the form of giving cash to the poor. Implementation of the program aims to improve the welfare of the poor. Currently, it is considered that the BLT distribution is still not on target and does not meet the criteria which are the benchmarks for the people who will receive the assistance. The Naïve Bayes method was used in this case study to classify beneficiary communities in order to more easily select people who really deserved to receive BLT. This study uses 20 data and 5 criteria including: name, age, gender, status, income, and beneficiary status. After conducting research with a total of 20 data and using the Naïve Bayes method, the results obtained were that 45% of the residents of Xyz Village were eligible to receive BLT and 55% of the residents were not eligible to receive BLT. Keywords: Data Mining, Naïve Bayes Algorithm, Direct Cash Assistance

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Journal Info
Jurnal Sistem Informasi dan Teknologi Informasi
Website

Abbrev

siti

Publisher

Himpunan Penggiat Teknologi Abrar Indonesia

Subject

Computer Science & IT Control & Systems Engineering Engineering

Description

The Jurnal Sistem Informasi dan Teknologi Informasi contains articles based on the results of research in the field of information technology and computers. This journal is a means for researchers in the field of information technology and computer science to publish their research works. The ...