Implementation Of Naive Bayes Method In Classification Of Prospective Kartu Keluarga Sejahtera

  • Hendri Hendri Universitas Nusa Mandiri
  • Rachman Komarudin Universitas Nusa Mandiri
  • Dony Oscar Universitas Bina Sarana Informatika
  • Agus Salim Universitas Bina Sarana Informatika
  • Nurul Afni Universitas Bina Sarana Informatika
  • Yana Iqbal Maulana Universitas Bina Sarana Informatika

Abstract

Kartu Keluarga Sejahtera is an assistance for underprivileged families that aims to help the poor, which is expected to ease the burden on society. Sumberjaya Village is one of the villages that has a total population of 73,631 people. The provisions in determining the status of Kartu Keluarga Sejahtera recipient are based on observations and interviews with the Head of the Sumberjaya Village Planning Affairs regarding the process of receiving Kartu Keluarga Sejahtera which is still not optimal in the data collection process so that there is still data Inaccurate in its acceptance, therefore it is necessary to conduct an assessment using the Naive Bayes method to give a classification to the process of receiving Kartu Keluarga Sejahtera, namely by determining age, gender, marital status, education, occupation, income, number of dependents, type of building and owner status. House. It is hoped that the data generated from this process can be used as material for evaluating the process of receiving / not receiving Kartu Keluarga Sejahtera.

Downloads

Download data is not yet available.

Author Biographies

Hendri Hendri, Universitas Nusa Mandiri

Department of Informatics

Rachman Komarudin, Universitas Nusa Mandiri

Department of Information System

Dony Oscar, Universitas Bina Sarana Informatika

Department of Information System

Agus Salim, Universitas Bina Sarana Informatika

Department of Information System

Nurul Afni, Universitas Bina Sarana Informatika

Department of Information System

Yana Iqbal Maulana, Universitas Bina Sarana Informatika

Department of Information Technology

References

[1] A. Anggleni, “Implementasi Kebijakan Program Kartu Keluarga Sejahtera (KKS ) dalam Meningkatkan Kesejahteraan Masyarakat Miskin di Kelurahan Sekip Jaya Kecamatan Kemuning Kota Palembang,” J. PPS UNISTI, vol. 1, no. 1, pp. 24–39, 2018.
[2] M. A. Suhendra, D. Ispriyanti, and S. Sudarno, “Ketepatan Klasifikasi Pemberian Kartu Keluarga Sejahtera Di Kota Semarang Menggunakan Metode Regresi Logistik Biner Dan Metode Chaid,” J. Gaussian, vol. 9, no. 1, pp. 64–74, 2020.
[3] A. N. Putri, “Penerapan Naive Bayesian Untuk Perankingan Kegiatan Di Fakultas Tik Universitas Semarang,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 8, no. 2, p. 603, 2017.
[4] S. Lestari and M. Badrul, “Implementasi Klasifikasi Naive Bayes Untuk Prediksi,” vol. 7, no. 1, pp. 8–16, 2020.
[5] I. W. Supriana, “Pengembangan Sistem Identifikasi Keluarga Miskin Di Kabupaten Tabanan Dengan Menggunakan Metode Naïve Bayes Dalam Pengentasan Kemiskinan,” JST (Jurnal Sains dan Teknol., vol. 7, no. 1, p. 102, 2018.
[6] C. D. L. Daniel T.Larose, Discovering Knowladge in Data : An Introduction to Data Mining, 2nd, illustr ed. John Wiley & Sons, 2014, 2014.
[7] A. Tarigan, E. Wahyudi, and J. Adhiva, “Klasifikasi Status Kesejahteraan Rumah Tangga di Kabupaten Siak Menggunakan Algoritma Naive Bayes Classifier,” no. November, pp. 187–196, 2019.
[8] H. Annur, “Klasifikasi Masyarakat Miskin Menggunakan Metode Naive Bayes,” Ilk. J. Ilm., vol. 10, no. 2, pp. 160–165, 2018.
[9] M. Algoritma, B. Bri, and U. Anduonohu, “Penerapan Data Mining untuk Mengklasifikasi Pola Nasabah,” vol. 1, no. 1, pp. 22–28, 2019.
[10] Sugiyono, “Metode Penelitian Pendidikan pendekatan Kuantitatif, Kualitatif dan R&D.,” in METODE PENELITIAN ILMIAH, 2014.
Published
2022-06-17
How to Cite
HENDRI, Hendri et al. Implementation Of Naive Bayes Method In Classification Of Prospective Kartu Keluarga Sejahtera. JISICOM (Journal of Information System, Informatics and Computing), [S.l.], v. 6, n. 1, p. 265-272, june 2022. ISSN 2597-3673. Available at: <http://journal.stmikjayakarta.ac.id/index.php/jisicom/article/view/821>. Date accessed: 30 apr. 2024. doi: https://doi.org/10.52362/jisicom.v6i1.821.

Most read articles by the same author(s)