Penerapan Naïve Bayes dalam Mengklasifikasi Calon Penerima Bantuan Pangan Non Tunai di Desa Nanjung Mekar

Authors

  • Muhamad Fahmi Nugraha Universitas Ma’soem
  • Sri Budi Rahayu Universitas Ma’soem

DOI:

https://doi.org/10.32627/internal.v5i2.634

Keywords:

Algoritma Naïve Bayes, Bantuan Pangan Non Tunai, Desa Nanjung Mekar, RapidMiner

Abstract

The application of Nave Bayes in Classifying Candidates for Non-Cash Food Assistance (BPNT) in Nanjung Mekar Village was made to solve problems in the process of distributing non-cash food assistance programs that have not run optimally and have not been targeted. The purpose of this research is to find out how to apply the Naïve Bayes Algorithm in Classifying Non-Cash Food Aid Recipients in Nanjung Mekar Village so as to obtain optimal results.The method used in this study is the nave Bayes classification method. The Naïve Bayes algorithm is proven to have good performance in a prediction, and produces high accuasy and AUC values. The stages of data analysis were carried out based on the CRISP-DM method while the algorithm testing was carried out on the RapidMiner 9.10.001 software as a comparison between manual calculations and software calculations. The results of these tests obtained an accuracy value of 80%, and an AUC value of 0.938 which was obtained from 250 data with the use of 240 training data and 10 testing data.

References

Annur, H. Klasifikasi Masyarakat Miskin Menggunakan Metode Naïve Bayes. ILKOM Jurnal Ilmiah, 10(2), 160–165 2018..

E. Buulolo, Data Mining Untuk Perguruan Tinggi, 1st ed. Sleman: Deepublish, 2020.

M. Furqon and M. F. Nugraha, “Perancangan Data Warehouse Sistem Pendaftaran Mahasiswa Menggunakan Online Analytical Procesing (OLAP) di Universitas Ma’soem,” Intern. (Information Syst. Journal), vol. 4 (1), p. 35, 2021, doi: 1032627.

A. Saleh, “Implementasi Metode Klasifikasi Naïve Bayes Dalam Memprediksi Besarnya Penggunaan Listrik Rumah Tangga,” Citec J., vol. 3(2), pp. 207–217, 2015.

A. A. R, “Klasifikasi Kualitas Beras untuk Penjualan pada CV. Arsa Menggunakan Algoritma Naive Bayes, ” Teknois J. Ilm. Teknol. Inf. dan Sains, 2020.

Rikawati, “Penerapan Algoritma Naïve Bayes pada Bantuan non Tunai di DEsa Cibodas, Jurnal Teknik Informatika, 1.” J. Tek. Inform., vol. 1, 2020.

M. Z. Pratama, “Penentuan Kriteria dan Penerima Bantuan Pangan non Tunai di DEsa Parangkuda dengan Menggunakan Algoritma Naïve Bayes,” Universitas Bina Sarana Informatika, 2020.

J. Sulaksono, R. H. Irawan, and I. N. Fahmi, “Penerapan Metode Naive bayes Terhadap Bantuan Sosial Keluarga PraSejahtera,” J. Nusantra Eng., vol. 3(2), pp. 52–61, 2016, doi: https://doi.org/10.29407/noe.v3i2.12341.

A. Ifon Purnama, A. Aziz, A. Sartika Wiguna, and K. Kunci, “Penerapan Data Mining Untuk Mengklasifikasi Penerima Bantuan Pkh Desa Wae Jare Menggunakan Metode Naïve Bayes,” Kurawal J. Teknol. Inf. dan Ind., vol. 3, 2020.

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Published

2022-12-31

How to Cite

Nugraha, M. F., & Rahayu, S. B. (2022). Penerapan Naïve Bayes dalam Mengklasifikasi Calon Penerima Bantuan Pangan Non Tunai di Desa Nanjung Mekar. INTERNAL (Information System Journal), 5(2), 137–146. https://doi.org/10.32627/internal.v5i2.634

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