Implementasi Naïve Bayes Pada Siswa Penerima Bantuan

Authors

  • Dito Dwi Prasetyo Universitas PGRI Kediri Indonesia
  • Rony Heri Irawan Universitas PGRI Kediri Indonesia
  • Umi Mahdiyah Universitas PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/z7t49c14

Abstract

Penyaluran bantuan sosial pendidikan di Desa Paron untuk siswa tingkat sekolah dasar sederajat masih dilakukan secara manual dan kriteria tidak diketahui, sehingga menimbulkan risiko bantuan menjadi tidak tepat sasaran. Penelitian ini bertujuan menerapkan algoritma Naïve Bayes untuk mengonstruksi model keputusan yang objektif dan transparan bagi perangkat desa. Metode penelitian yang digunakan meliputi pendekatan Knowledge Discovery in Databases (KDD). Hasil pengujian menunjukkan bahwa model mampu mengenali karakteristik kemiskinan lokal secara stabil dengan akurasi 77,78 persen. Implementasi algoritma ini berhasil mengklasifikasikan kelayakan penerima bantuan secara objektif sehingga dapat membantu perangkat desa dalam menyaring siswa dengan tepat sasaran.

Keywords:

Algoritma Naïve Bayes, Bantuan Sosial, Kelayakan, Siswa

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Published

2026-07-20

Issue

Vol. 10 No. 1 (2026): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2026

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How to Cite

Implementasi Naïve Bayes Pada Siswa Penerima Bantuan. (2026). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 10(1), 159-167. https://doi.org/10.29407/z7t49c14