Seleksi Fitur pada Supervised Learning: Klasifikasi Prestasi Belajar Mahasiswa Saat dan Pasca Pandemi COVID-19

Penulis

DOI:

https://doi.org/10.25077/TEKNOSI.v9i1.2023.21-32

Kata Kunci:

Klasifikasi, Chi-Square, Mutual Information, Seleksi Fitur, Prestasi Belajar

Abstrak

Dampak pandemi COVID-19 membuat lembaga pendidikan mengubah metode belajar menjadi pembelajaran jarak jauh secara daring. Banyak perguruan tinggi menyatakan keprihatinannya pada prestasi akademik mahasiswanya selama selama periode tersebut, namun disisi lain terdapat mahasiswa yang merasa puas dan nyaman. Di masa pasca pandemi terjadi transisi bertahap untuk kembali ke pembelajaran tatap muka.  Ini dilakukan karena pembelajaran tatap muka dianggap lebih efektif dibandingkan pembelajaran daring. Untuk meningkatkan dan memantau kemajuan prestasi akademik mahasiswa demi menghasilkan lulusan yang berkualitas, maka diperlukan analisis terkait perilaku dan prestasi belajar mahaiswa, salah satunya dengan menggunakan teknik data mining. Penelitian ini bertujuan untuk menemukan pola dan faktor yang mempengaruhi prestasi akademik mahasiswa saat dan pasca pandemi COVID-19. Chi-Square dan Mutual Information diterapkan sebagai seleksi fitur untuk menentukan fitur paling berpengaruh pada data. Data dengan fitur optimal akan dilakukan klasifikasi dengan algoritma NBC, CART, RF, dan SVM. Berdasarkan hasil dan analisis yang dilakukan, dapat disimpulkan seleksi fitur efektif dalam meningkatkan kemampuan model dan mempercepat waktu komputasi. Pemodelan dengan 4 algoritma dan 2 metode seleksi fitur menghasilkan CART dengan Chi-Square pada 2 fitur sebagai model terbaik dengan akurasi 89,00%, precision 87,72%, recall 93,57% dan waktu komputasi 0,01814s. Dibandingkan tanpa seleksi fitur, performa CART dengan Chi-Square mengalami peningkatan akurasi sebesar 3% dan waktu komputasi 0,00629s. Chi-Square menjadi seleksi fitur yang efektif pada penelitian ini, yang mana Chi-Square unggul pada rara-rata recall dan waktu komputasi dibandingkan Mutual Information.

Referensi

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Unduhan

Telah diserahkan

13-03-2023

Diterima

03-05-2023

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06-05-2023

Cara Mengutip

[1]
A. Rahmadeyan dan M. Mustakim, “Seleksi Fitur pada Supervised Learning: Klasifikasi Prestasi Belajar Mahasiswa Saat dan Pasca Pandemi COVID-19”, TEKNOSI, vol. 9, no. 1, hlm. 21–32, Mei 2023.

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Hak / Syarat dan Ketentuan yang dipertahankan :

  1. Penulis memiliki semua hak kepemilikan dalam setiap proses, prosedur, atau artikel manufaktur yang dijelaskan dalam Karya ini.
  2. Penulis dapat mereproduksi atau mengotorisasi orang lain untuk mereproduksi karya  ini atau karya turunannya untuk penggunaan pribadi penulis atau untuk penggunaan perusahaan, dengan ketentuan bahwa sumber dan menyatakan hak cipta dimiliki TEKNOSI, salinan tidak digunakan dengan cara apa pun yang menyiratkan pengesahan TEKNOSI atas suatu produk atau layanan dari pihak mana pun, dan salinannya sendiri tidak ditawarkan untuk dijual.
  3. Meskipun penulis diizinkan untuk menggunakan kembali semua atau sebagian dari karya ini dalam karya lain, ini tidak termasuk mengabulkan permintaan pihak ketiga untuk mencetak ulang, menerbitkan ulang, atau jenis penggunaan ulang lainnya.