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

Penulis

  • 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

Kata Kunci:

Program Indonesia Pintar, Algorithm, Naïve Bayes

Abstrak

The role of education is very important in order to increase intelligent human resources both intellectually, emotionally and spiritually. But often education does not run properly due to a lack of economic factors that result in many children dropping out of school. To overcome this, the government has created a program so that the underprivileged can still go to school for free. This program is called Program Indonesia Pintar (PIP). Computerization in the process of providing assistance is unavoidable. In order to avoid errors in determining beneficiaries, it is necessary to apply data mining using the Naïve Bayes algorithm which can classify the level of the community eligibility in receiving assistance so as to obtain more accurate results in determining the recipients of Program Indonesia Pintar. The results of this research are expected to create a data mining system that is able to get accurate results in determining the recipients of Program Indonesia Pintar.

Unduhan

Data unduhan belum tersedia.

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Diterbitkan

2022-01-11

Cara Mengutip

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

Terbitan

Vol 7 No 1 (2022): Januari

Bagian

Articles

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