Penerapan Algoritma C4.5 Mengklarifikasi Penerimaan Bantuan Sosial Menggunakan Feature Selection

M Wandi Dwi Wirawan, Siska Kurnia Gusti, Jasril Jasril, Pizaini Pizaini

Abstract


The Indonesian government's efforts to overcome poverty in Indonesia are through the Smart Indonesia Card (KIP) program which is carried out by the government in the form of providing assistance to underprivileged families. The main aim of distributing KIP assistance is to help send underprivileged children to continue their education, the difficulties found in receiving KIP are due to the large number of residents registering, as well as the data having several conditions, the limited time available in providing KIP by sub-district parties, the completion base is relatively low, therefore the provision of assistance must be right on target. Therefore, the aim of this research is to look for the most influential attributes in receiving KIP assistance in order to improve the results of the data verification process. After carrying out Feature Selection using Information Gain, the most influential attributes can be obtained. The influences are Number of Art, Number of Rooms, Cooking Room, Refrigerator, Motorbike. Therefore, we need to know some of the attributes that most influence the selection of KIP assistance so that we can get accuracy values from decision tree modeling using the C4.5 algorithm or decision tree. Test This experiment can produce a decision tree in which the Number of Art attribute is the most influential attribute with the success rate of KIP acceptance. This evaluation uses a confusion matrix to obtain an accuracy value of 98.21%, precision of 98.21%, recall of 99.48%.

Keywords


Classification; C4.5; KIP; Feature Selection

Full Text:

PDF

References


W. D. Wulandari, A. Afrisawati, and F. Dristyan, “Penentuan Kelayakan Penerima Kartu Indonesia Pintar (KIP) Menggunakan Metode AHP,†Journal Of Computer Science And Technology (JOCSTEC), vol. 1, no. 2, pp. 69–75, May 2023, doi: 10.59435/jocstec.v1i2.60.

G. Taufik and D. Jatmika, “Penerapan Algoritma C4.5 Untuk Klasifikasi Keberhasilan Pengiriman Barang,†vol. 6, no. 1, p. 2021.

E. E. Barito, ) Jap, T. Beng, and D. Arisandi, “PENERAPAN ALGORITMA C4.5 UNTUK KLASIFIKASI MAHASISWA PENERIMA BANTUAN SOSIAL COVID-19,†2022. Accessed: Aug. 08, 2023. [Online]. Available: https://journal.untar.ac.id/index.php/jiksi/article/view/17819

Gagan Suganda, Marsani Asfi, Ridho Taufiq Subagio, and Ricky Perdana Kusuma, “PENENTUAN PENERIMA BANTUAN BEASISWA KARTU INDONESIA PINTAR (KIP) KULIAH MENGGUNAKAN NAÃVE BAYES CLASSIFIER,†JSiI (Jurnal Sistem Informasi), vol. 9, no. 2, pp. 193–199, Sep. 2022, doi: 10.30656/jsii.v9i2.4376.

B. D. S. I. Rizky Haqmanullah Pambudi, “Penerapan Algoritma C4.5 Untuk Memprediksi Nilai Kelulusan Siswa Sekolah Menengah Berdasarkan Faktor Eksternal,†2018. [Online]. Available: http://j-ptiik.ub.ac.id

N. H. Purnomo, B. Pamungkas, and C. Juliane, “JURNAL MEDIA INFORMATIKA BUDIDARMA Penerapan Algoritma C4.5 Untuk Klasifikasi Tren Pelanggaran Kendaraan Angkutan Barang dengan Metode CRISP-DM,†vol. 7, pp. 30–40, 2023, doi: 10.30865/mib.v7i1.5247.

P. B. N. Setio, D. R. S. Saputro, and B. Winarno, “Klasifikasi dengan Pohon Keputusan Berbasis Algoritme C4.5,†vol. 3, pp. 64–71, 2020, [Online]. Available: https://journal.unnes.ac.id/sju/index.php/prisma/

N. Wayan Oktha Pratiwi, N. Widya Utami, and I. Gede Juliana Eka Putra, “Klasifikasi Penentu Penerima Bantuan Sosial Tunai (BST) Menggunakan Algoritma C4.5 Di desa Keramas, Gianyar Bali,†JINTEKS (Jurnal Informatika Teknologi dan Sains), vol. 4, no. 3, pp. 101–107, 2022, Accessed: Jul. 25, 2023. [Online]. Available: https://doi.org/10.51401/jinteks.v4i3.1667

M. Yunus, H. Ramadhan, D. R. Aji, and A. Yulianto, “Penerapan Metode Data Mining C4.5 Untuk Pemilihan Penerima Kartu Indonesia Pintar (KIP),†Paradigma - Jurnal Komputer dan Informatika, vol. 23, no. 2, Oct. 2021, doi: 10.31294/p.v23i2.11395.

A. Riadi, S. Retno Andani, R. Rafiqa Dewi, S. Tunas Bangsa, and J. A. Jend Sudirman Blok No, “Data Mining Algoritma C4.5 menentukan Kelayakan Penerima Bantuan Covid 19,†vol. 3, 2021.

E. Hasmin and S. Aisa, “Penerapan Algoritma C4.5 Untuk Penentuan Penerima Beasiswa Mahasiswa Application of C4.5 Algorithm For Determining Student Scholarship Recipients,†Cogito Smart Journal |, vol. 5, no. 2, 2019, Accessed: Aug. 07, 2023. [Online]. Available: https://cogito.unklab.ac.id/index.php/cogito/article/view/219

A. A. F. Irmayansyah, “penerapan algoritma c4.5 klasifikasi penerima bantuan,†vol. 8, 2018, Accessed: Jul. 25, 2023. [Online]. Available: https://media.neliti.com/media/publications/288963-penerapan-algoritma-c45-untuk-klasifikas-d7417740.pdf

P. Riswanto and A. Aziz, “PENERAPAN DECISION TREE C4.5 SEBAGAI SELEKSI FITUR DAN SUPPORT VECTOR MACHINE (SVM) UNTUK DIAGNOSA KANKER PAYUDARA,†2019. Accessed: Aug. 01, 2023. [Online]. Available: https://jurnal.darmajaya.ac.id/index.php/JurnalInformatika/article/view/1442/pdf

R. A. Saputra, S. Wasiyanti, and D. Pribadi, “Information Gain Pada Algoritma C4.5 Untuk Klasifikasi Penerimaan Bantuan Pangan Non Tunai (Bpnt),†Indonesian Journal of Business Intelligence (IJUBI), vol. 4, no. 1, p. 25, 2021, doi: 10.21927/ijubi.v4i1.1757.

E. Sufarnap, Analisis Seleksi Fitur dengan Menggunakan Klasifikasi C4.5 dan Density Based Feature Selection (DBFS) dalam Memprediksi Kelulusan Mahasiswa, vol. 1–3. 2018. Accessed: Aug. 01, 2023. [Online]. Available: https://citisee.amikompurwokerto.ac.id/assets/proceedings/paper/73__Proceeding_CITISEE_2018_TI10.pdf

L. Bachtiar and M. Mahradianur, “Analisis Data Mining Menggunakan Metode Algoritma C4.5 Menentukan Penerima Bantuan Langsung Tunai,†Jurnal Informatika, vol. 10, no. 1, pp. 28–36, Mar. 2023, doi: 10.31294/inf.v10i1.15115.

S. F. Damanik, A. Wanto, and I. Gunawan, “Penerapan Algoritma Decision Tree C4.5 untuk Klasifikasi Tingkat Kesejahteraan Keluarga pada Desa Tiga Dolok,†Volume 1 Nomor 2, Januari 2022, 2022. https://ejournal.catuspata.com/index.php/jkdn/index

yuyun,rabiatul adawiyah mansyur, “Penerapan Algoritma c4.5 Untuk Klasifikasi Status Kesejahteraan Rumah Tangga Keluarga Binaan Sosial Di Kabupaten Bulukumba,†2019.

dony oscara hendri, “Penerapan Algoritma C4.5 Dalam Mengukur Kepuasan Pengunjung,†2021. [Online]. Available: http://ejournal.bsi.ac.id/ejurnal/index.php/infortech73

S. W. Siahaan, K. D. R. Sianipar, P. P. P. A. N. W. F. I. R.H Zer, and D. Hartama, “Penerapan Algoritma C4.5 Dalam Meningkatkan Kemampuan Bahasa Inggris Pada Mahasiswa,†PETIR, vol. 13, no. 2, pp. 229–239, Sep. 2020, doi: 10.33322/petir.v13i2.1029.




DOI: https://doi.org/10.30865/json.v5i1.6653

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 M Wandi Dwi Wirawan, Siska Kurnia Gusti, Jasril, Pizain

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Jurnal Sistem Komputer dan Informatika (JSON)
Dikelola oleh Universitas Budi Darma
Sekretariat : Jln. Sisingamangaraja No. 338 Telp 061-7875998
email : jurnal.json@gmail.com


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.