Aplikasi Sistem Pendukung Keputusan Menggunakan Algoritma C5 Untuk Menentukan Penerima Bantuan Sosial

  • Febi Solifiah Batubara Universitas Islam Negeri Sumatera Utara
  • Abdul Halim Hasugian Universitas Islam Negeri Sumatera Utara
  • Heri Santoso Universitas Islam Negeri Sumatera Utara
Keywords: C5.0, Decision tree, Classification

Abstract

Poverty is one of the development problems in various fields which is characterized by high unemployment, underdevelopment and deterioration caused by change. Most of the residents of Setia village, Pahae Jae sub-district, still have many poor people, the poverty rate is still high and they have implemented a social assistance system for the poor or underprivileged to reduce poverty. However, it turns out that the selection of social assistance recipients in the Setia Village area, Pahae Jae District is still using a manual system. the selection process is carried out by observing the residents' files from the start of the process to who can receive assistance based on the criteria that have been determined in the social section. So that the settlement process in determining the prospective recipients of social assistance does not occur systematically and sometimes is not on target, the decision tree algorithm c5.0 method was chosen by the author to speed up and facilitate the selection of eligible citizens to receive social assistance. the criteria are processed so that and obtain a value that will be compared with the training data, this research is an application of the classification of eligible and unworthy social assistance recipients. building this program or application can help make it easier for the village to determine recipients of the social assistance program for underprivile ged families.

References

1] Teja, M. 2020. Permasalahan Keakuratan Data Penerima Bantuan Sosial Covid-19.
[2] H. K. Tang. 2019, “An inventory of organizational innovativeness,” vol. 19, pp. 41–5.
[3] Limbong, T. D. 2020.Sistem Pendukung Keputusan Metode & Implementasi.Yayasan Kita Menulis.
[4] Wanto, Anjar, D. 2020. Data Mining Algoritma dan Implementasi. Yayasan Kita Menulis.
[5] Benediktus, N., & Oetama, R. S. 2020. Algoritma Klasifikasi Decision Tree C5 . 0 untukMemprediksi Performa Akademik Siswa. Ultimatics, XII(1), 14–1.
[6] MF, M. 2018. Buku Sakti Pemrograman Seri PHP Konsep Dasar Algoritma & Pemograman Dengan Bahasa Java POLIBAN PRESS.
[7] Fitri, R .2020 Pemrograman Basis Data Menggunakan MySQL. POLIBAN PRESS.
[8] Kusrini, E. T. L.2019. Algoritma Data Mining. ANDI.
[9] E. V. Vasilieva and T. E. Tochilkina. 2020.“Design thinking and process transformation: Synergy of these approaches,” CEUR Workshop Proc., vol. 2570, pp. 1–9.
[10] Setiawan, Y. A.2019. Eksplorasi Informatika Kelas 7 SMP/MTs. Samudra Biru. Simangunsong, P. B. N. dan S. B. S. Sistem Pendukung Keputusan.
[11] Susanto, E.2018. Pemrograman Android Dengan Menggunakan Eclipse & StarUML. Airlangga University Press.
[12] Julianto, P. 2020. Implementasi Program Bantuan Pangan Non Tunai (Bpnt) Di Kecamatan Sitinjau Laut Kabupaten Kerinci. Qawwam : The Leader’s Writing, 1(1), 38–43. https://doi.org/10.32939/qawwam.v1i1.77.
[13] Andoyo, A. D. 2021. Sistem Pendukung Keputusan Konsep, Implemestasi dan Pengembangan (Adab (ed.),
[14] Susetyo, Y. 2018. Kombinasi Algoritma Spatial Autocorrelation G* dan Algoritma C5.0 untuk Deteksi Daerah Rawan Longsor di Pulau Jawa. Jurnal Buana Informatika, 9(2), 101. https://doi.org/10.24002/jbi.v9i2.1706,.
[15] D. D. Shinde, S. Ahirrao, and R. Prasad. 2018. “Fishbone Diagram: Application to Identify the Root Causes of Student–Staff Problems in Technical Education,” Wirel. Pers. Commun., vol. 100, no. 2, pp. 653–664,
Published
2023-10-27