IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA NAÏVE BAYES UNTUK KLASIFIKASI PENERIMA PROGRAM INDONESIA PINTAR

Authors

  • Fahmi Dian Pratama Universitas Islam Negeri Sumatera Utara
  • Ilka Zufria Universitas Islam Negeri Sumatera Utara
  • Triase Triase Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.36341/rabit.v7i1.2217

Keywords:

Program Indonesia Pintar, Algorithm, Naïve Bayes

Abstract

Peran pendidikan sangat penting dalam rangka meningkatkan kecerdasan sumber daya manusia baik secara intelektual, emosional maupun spiritual. Namun seringkali pendidikan tidak berjalan dengan baik karena kurangnya faktor ekonomi yang mengakibatkan banyak anak putus sekolah. Untuk mengatasi hal tersebut, pemerintah telah membuat sebuah program agar masyarakat yang kurang mampu tetap dapat bersekolah secara gratis. Program ini dinamakan Program Indonesia Pintar (PIP). Komputerisasi pada proses pemberian bantuan ini tak dapat terhindarkan. Agar tidak terjadi kesalahan dalam menentukan penerima bantuan maka diperlukan penerapan data mining menggunakan algoritma Naïve Bayes yang dapat mengklasifikasikan tingkat kelayakan masyarakat dalam menerima bantuan sehingga diperoleh hasil yang lebih akurat dalam menentukan penerima bantuan Program Indonesia Pintar. Hasil penelitian ini diharapkan terciptanya sebuah sistem data mining yang mampu mendapatkan hasil yang akurat dalam menentukan penerima Program Indonesia Pintar.

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Published

2022-01-11

How to Cite

[1]
F. D. Pratama, I. Zufria, and T. Triase, “IMPLEMENTASI DATA MINING MENGGUNAKAN ALGORITMA NAÏVE BAYES UNTUK KLASIFIKASI PENERIMA PROGRAM INDONESIA PINTAR”, rabit, vol. 7, no. 1, pp. 77–84, Jan. 2022.

Issue

Vol. 7 No. 1 (2022): Januari

Section

Articles

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