TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Vol 4 No 1 (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi

Implementasi Algoritma Naïve Bayes untuk Prediksi Penerima Bantuan Sosial di Desa Cigayam

Hoeriah, Dede (Unknown)
Nurhakim, Bani (Unknown)
Permana, Sandy Eka (Unknown)
Prihartono, Willy (Unknown)
Dwilestari, Gifthera (Unknown)



Article Info

Publish Date
30 Jun 2024

Abstract

Social assistance is one of the government's programmes aimed at improving the lives of people especially for those who are economically disadvantaged. However, there are several reasons why some people are unable to access social assistance. In the case of this study, the authors used the Naïve Bayes algorithm with the KDD (Knowledge Discovery Database) method to predict the population in obtaining social assistance. The data was taken from the population data of Cigayam Village and the social welfare recipient data in the village ofCigayam with the results showing high accuracy in this study, for the true or false outcome of 1047 data and 53 data with the precision grade of 95.18%, 81.17%, for the real outcome, and 28.38% for the wrong outcome. So with the ROC curve shows the accuracy of the spinning visually, with an AUC of 0.868% for naïve bayes using the ROK curve of 0.90.1.

Copyrights © 2024






Journal Info

Abbrev

tamika

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Description

TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi merupakan Jurnal Penelitian Bidang Manajemen Informatika dan Komputerisasi Akuntansi yang dikelola ole Program Studi Manajemen Informatika dan Komputerisasi Akuntansi dan diterbitkan oleh Universitas Methodist Indonesia. ...