Feature Selection In Support Vector Machine And Random Forest Algorithms For The Classification Of Recipients Of The Smart Indonesia Program-Reference-Cited by-同舟云学术

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Feature Selection In Support Vector Machine And Random Forest Algorithms For The Classification Of Recipients Of The Smart Indonesia Program

Published:2024-06-28 Issue: Volume:7 Page:1-6
ISSN:
Container-title:2024 International Conference on Circuit, Systems and Communication (ICCSC)
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Author:

Luchia Nanda Try¹,Mustakim Mustakim¹,Noviarni Noviarni²,Sussolaikah Kelik³,Arifianto Teguh⁴

Affiliation:

1. Universitas Islam Negeri Sultan Syarif Kasim Riau,Faculty of Science and Technology,Department of Information System,Pekanbaru,Indonesia

2. Universitas Islam Negeri Sultan Syarif Kasim Riau,Faculty of Education and Teaching,Department of Mathematic Education,Pekanbaru,Indonesia

3. Universitas PGRI Madiun,Faculty of Engineering,Department of Informatic Engineering,Madiun,Indonesia

4. Politeknik Perkeretaapian Indonesia,Department of Railway Electrical Technology,Madiun,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616390/10616394/10616886.pdf?arnumber=10616886

Reference30 articles.

1. FUNGSI DAN TUJUAN PENDIDIKAN INDONESIA

2. Sistem Pendukung Keputusan Pemilihan Penerima Beasiswa Pendidikan Dengan Menggunakan Metode Weighted Product Di Yatim Mandiri;Adikvika;Indones. J. Softw. Eng.,2021

3. Bidikmisi: Analisis Pelaksanaan Program Beasiswa Pendidikan Tinggi

4. Analisis Implementasi Penyaluran Dana Zis Untuk Beasiswa Pendidikan (Studi Kasus: Lazismu Medan);Zulkarnain;J. AL-QASD Islam. Econ. Altern.,2021

5. Implementasi Algoritma Klasifikasi K-Nearest Neighbor (KNN) Untuk Klasifikasi Seleksi Penerima Beasiswa

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