Rekomendasi Penerimaan Beasiswa Yayasan Untuk Siswa Baru SMK TI Airlangga dengan Algoritma C4.5

 (*)Azahari Azahari Mail (STMIK Widya Cipta Dharma, Samarinda, Indonesia)
 Nursobah Nursobah (STMIK Widya Cipta Dharma, Samarinda, Indonesia)

(*) Corresponding Author

DOI: http://dx.doi.org/10.30865/mib.v5i2.2943

Abstract

The foundation scholarship path is a facility provided by the private sector to help government education programs realize 12 years of compulsory education, one of which is a three-year vocational high school education facility and of course the foundation will take into account who deserves three years of learning opportunities for students. Now this will help many parties who really deserve the opportunity to learn to foster their enthusiasm for learning again, but in this case also the foundation must certainly select candidates who apply for the scholarship, of course there are many who want to get the scholarship so that correct, accurate considerations must be made so that the scholarship does not fall into the wrong hands, one of the right ways is to classify the incoming data using the C4.5 algorithm application so that the canteen selection process does not It takes a very long time and based on research, the final result of the C4.5 algorithm will form a decision tree to simplify the process of reading the result data and it is hoped that this will help the foundation in the selection of foundation scholarship recipients for new students. and the results obtained are 57% nominated students have the opportunity to receive scholarships provided by SMK TI Arilangga.

Keywords


Foundation Scholarships; Data Mining; Algorithm C4.5

Full Text:

PDF


Article Metrics

Abstract view : 151 times
PDF - 32 times

References

B. S. Mózo, “teknologi Dunia Industri,” J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2017, doi: 10.1017/CBO9781107415324.004.

R. Taufiq and H. P. Sari, “Rancang Bangun Sistem Pendukung Keputusan Penentuan Jenis Beasiswa Menggunakan Knn,” J. Tek. Univ. Muhammadiyah Tangerang, vol. 8, no. 1, pp. 6–10, 2019.

R. R. et all Aliyyah, “Bidikmisi: Analisis Pelaksanaan Program Beasiswa Pendidikan Tinggi,” Alignment J. Adm. Educ. Manag., vol. 3, no. 1, pp. 37–54, 2020, [Online]. Available: https://journal.ipm2kpe.or.id/index.php/ALIGNMENT/article/view/1282.

E. Sugiyarti and A. Maseleno, “Sistem Pendukung Keputusan (Dss) Penyeleksian Pemilihan Penerima Beasiswa Sma N 1 Ulubelu Tanggamus Mengunakan Data Mining,” Konf. Mhs. Sist. Inf., vol. 6, no. 1, pp. 62–69, 2018.

K. D. Maisari, D. Andreswari, and R. Efendi, “Implementasi Metode TOPSIS dengan Pembobotan Entropy untuk Penentuan Calon Penerima Bantuan Siswa Miskin (BSM) APBD Kota Bengkulu( Studi Kasus : SMAN 8 Kota Bengkulu ),” J. Rekursif, vol. 5, no. 2, pp. 179–194, 2017.

Y. Ali and Aprina, “Penerapan Metode Preference Selection Index ( PSI ) Dalam Pemberian Dana BOS Pada Siswa Kurang Mampu,” Semin. Nas. Teknol. Komput. Sains, no. 1, pp. 590–597, 2019.

C. Anam and H. B. Santoso, “Perbandingan Kinerja Algoritma C4.5 dan Naive Bayes untuk Klasifikasi Penerima Beasiswa,” J. Ilm. Ilmu-Ilmu Tek., vol. 8, no. 1, pp. 13–19, 2018, [Online]. Available: https://ejournal.upm.ac.id/index.php/energy/article/view/111/449.

J. Han, M. Kamber, and J. Pei, “Data Mining: Concepts and Techniques,” Data Min. Concepts Tech., 2012, doi: 10.1016/C2009-0-61819-5.

L. Swastina, “Penerapan Algoritma C4 . 5 Untuk Penentuan Jurusan Mahasiswa,” Gema Aktual., vol. 2, no. 1, pp. 93–98, 2013.

M. A. Nurrohmat, “Aplikasi Pemrediksi Masa Studi dan Predikat Kelulusan Mahasiswa Informatika Universitas Muhammadiyah Surakarta Menggunakan Metode Naive Bayes,” Khazanah Inform. J. Ilmu Komput. dan Inform., vol. 1, no. 1, p. 29, 2015, doi: 10.23917/khif.v1i1.1179.

M. Muhamad, A. P. Windarto, and S. Suhada, “Penerapan Algoritma C4.5 Pada Klasifikasi Potensi Siswa Drop Out,” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 3, no. 1, pp. 1–8, 2019, doi: 10.30865/komik.v3i1.1688.

A. Setiawan Rifqi, “Lembar Kegiatan Literasi Saintik untuk Pembelajaran Jarak Jauh Topik Penyakit Coronavirus 2019 (COVID-19),” J. Ilmu Pendidik., vol. 2, no. 1, pp. 28–37, 2020.

A. Nugroho, Analisis dan perancangan sistem informasi dengan metodologi berorientasi objek. bandung, 2004.

Albi Anggito and Johan Setiawan, Metodologi Penelitian Kuantitatif. Jawa Barat: CV Jejak, 2018.

E. Buulolo, Buku Data Mining Untuk Perguruan Tinggi, I. 2020.

R. Rahim, E. Buulolo, and N. Silalahi, “C4.5 Algorithm To Predict The Impact Of The Earthquake,” no. January, pp. 2–8, 2017, doi: 10.31227/osf.io/rbwmg.

L. Han, W. Li, and Z. Su, “An assertive reasoning method for emergency response management based on knowledge elements C4.5 decision tree,” Expert Syst. Appl., vol. 122, pp. 65–74, 2019, doi: 10.1016/j.eswa.2018.12.042.

Bila bermanfaat silahkan share artikel ini

Berikan Komentar Anda terhadap artikel Rekomendasi Penerimaan Beasiswa Yayasan Untuk Siswa Baru SMK TI Airlangga dengan Algoritma C4.5

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 JURNAL MEDIA INFORMATIKA BUDIDARMA

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



JURNAL MEDIA INFORMATIKA BUDIDARMA
STMIK Budi Darma
Sekretariat : Jln. Sisingamangaraja No. 338 Telp 061-7875998
email : mib.stmikbd@gmail.com

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