[PDF][PDF] Klasifikasi Masyarakat Penerima Bantuan Langsung Tunai Dana Desa Menggunakan Naïve Bayes dan SMOTE

D Kurniadi, F Nuraeni… - Jurnal Teknologi Informasi …, 2023 - researchgate.net
Abstrak Pemerintah menyelenggarakan program Bantuan Langsung Tunai Dana Desa (BLT
DD), program ini memberikan (subsidi) kepada keluarga miskin yang memenuhi syarat …

Implementasi Algoritma Naïve Bayes Menggunakan Feature Forward Selection dan SMOTE Untuk Memprediksi Ketepatan Masa Studi Mahasiswa Sarjana

D Kurniadi, F Nuraeni, SM Lestari - Jurnal Sistem Cerdas, 2022 - apic.id
The punctuality of students in completing their studies is an important aspect of the study
program. Because there are still students who have not been able to complete their studies …

Factors of Pre-University Study in Influencing Graduate on Time

TJ Law, CY Ting, HN Goh, H Ng… - 2024 16th International …, 2024 - ieeexplore.ieee.org
In education, identifying the important pre-university study factors poses a formidable
challenge, due to the necessity for human intervention in the variable selection process …

[PDF][PDF] Predicting the success of the government's program of lomaya (Regional PKH) in reducing poverty

R Sulaehani, MH Botutihe - ILKOM Jurnal Ilmiah, 2022 - pdfs.semanticscholar.org
Poverty reduction is one indicator of the success of development. The form of support from
the Pohuwato Regency Government through the Social Service is to organize PKH-D, which …

Prediction of Students Drop Out With Naïve Bayes

NWW Sari, D Mirwansyah, F Fahrullah, IL Tandi… - Jurnal Mantik, 2022 - iocscience.org
The increasing number of non-active students at Mulia University PSDKU Samarinda makes
the risk of student drop out increasing. The purpose of this study is to provide predictive …

A Study on Factors and Development of Prediction System by Using Machine Learning for Learning Analytics in Computer Programming of Junior High-school …

W Philuek, N Samngamjan - SOCIAL SCIENCES RESEARCH …, 2024 - so05.tci-thaijo.org
The objectives of this research were 1) to study factors that affect computer programming
learning among middle school students, 2) to study machine learning techniques to analyze …