Analisa Algoritma C.45 Terhadap penentuan Rekomendasi Penerima Beasiswa SMP Swasta Methodist-8 Medan

Authors

  • Sardo Pardingotan Sipayung Universitas Mandiri Bina Prestasi
  • Tulus Pramita Sihaloho Universitas Mandiri Bina Prestasi
  • Ade Purba Universitas Mandiri Bina Prestasi
  • Jenheri Rejeki Tarigan Universitas Mandiri Bina Prestasi

DOI:

https://doi.org/10.58918/lofian.v3i1.217

Keywords:

Algoritma C4.5, Beasiswa, Data Mining, Klasifikasi, Pohon Keputusan

Abstract

Scholarships are financial assistance with the intention to be used as a means of continuing education that is taken and is usually given by foundations, companies and government agencies. Scholarships in the form of funds used to help underprivileged students in continuing their task of completing education. Therefore the scholarship must be on target to the recipient who is truly feasible and deserves to get it. The number of prospective recipients makes the selection process take a long time. In this case the use of data mining methods can be used as a solution to facilitate the selection process. The C4.5 algorithm is an algorithm that will be used in this study. The data used are the names of students, classes, parents' income, dependents of parents, and the average report card value. Data mining processing on a training data will produce a decision tree. The evaluation method carried out in this test was obtained by the accuracy value of 93.33 %, this could be proof that the C4.5 algorithm was accurate enough to provide scholarship recommendations.

Downloads

Download data is not yet available.

References

Herlinawati, E. Heriyati, Sudiyono, and A. B. Susanto, Kajian Program Indonesia Pintar (PIP): Strategi Penjangkauan Anak Tidak Sekolah (ATS) Untuk Mengikuti Pendidikan Melalui Program Indonesia Pintar (PIP). 2018.

Hapsari, D. T., Harini, & Nugroho, J. A. Pengaruh Beasiswa PPA dan Kebiasaan Belajar Terhadap Prestasi Belajar Mahasiswa FKIP UNS Penerima Beasiswa PPA Periode Januari – Juni 2017. BISE: Jurnal Pendidikan Bisnis Dan Ekonomi, Vol. 4, No.1 , 2018.

Yunus, M., Ramadhan, H., Aji, D. R., & Yulianto. Penerapan Metode Data Mining C4.5 Untuk Pemilihan Penerima Kartu Indonesia Pintar (KIP). Paradigma - Jurnal Komputer Dan Informatika, Vol. 23, No. 2, September 2021.

Wahyu Susanto1 dan Astriana Mulyani. Analisa Algoritma C4.5 Terhadap Penentuan Rekomendasi Penerima Beasiswa. OKTAL : Jurnal Ilmu Komputer dan Science, Vol 1, No. 10, Oktober 2022

Angga Pebdika, Ruli Herdiana dan Dodi Solihudin. Klasifikasi Menggunakan Metode Naive Bayes Untuk Menentukan Calon Penerima Pip. JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 1, Februari 2023

Sitanggang, E. D. (2023). Analisa Sistem Pakar Penyakit Menular Pada Anak-Anak Dengan Metode Forward Chaining. LOFIAN: Jurnal Teknologi Informasi Dan Komunikasi, 2(2), 20–25. https://doi.org/10.58918/lofian.v2i2.207

Weni Ratna Sari Oktapia Ningse , S Sumarno , Zulaini Masruro Nasution. Klasifikasi Algoritma C4.5 untuk Penentuan Penerima Program Indonesia Pintar pada MIS Al-Khoirot. JOMLAI: Journal of Machine Learning and Artificial Intelligence, Vol. 1, No. 1, Maret 2022.

Azahari, N. Rekomendasi Penerimaan Beasiswa Yayasan Untuk Siswa Baru SMK TI Airlangga dengan Algoritma C4 .Vol 5. No. 5, April 2021.

Vulandari, R. T. Data Mining Teori Dan Aplikasi Rapidminer. Yogyakarta, 2017.

Muhammad Arhani dan Muhammad Nasir. Algoritma dan Implementasi Data Mining. Penerbit Andi 2020.

Published

2023-08-25

Issue

Section

Articles

How to Cite

Analisa Algoritma C.45 Terhadap penentuan Rekomendasi Penerima Beasiswa SMP Swasta Methodist-8 Medan. (2023). LOFIAN: Jurnal Teknologi Informasi Dan Komunikasi, 3(1), 20-24. https://doi.org/10.58918/lofian.v3i1.217

Similar Articles

31-40 of 43

You may also start an advanced similarity search for this article.