Klasifikasi Topik terhadap Judul Berita Kasus Covid-19 dengan Multilayer Perceptron

Authors

DOI:

https://doi.org/10.33633/tc.v21i4.6617

Keywords:

Klasifikasi Topik, Covid-19, Multilayer Perceptron

Abstract

Peran media massa berpengaruh dalam meningkatkan kesadaran masyarakat terhadap penyebaran Covid-19. Berdasarkan laporan Reuters Institute Digital News Report 2022, media daring cenderung dikonsumsi oleh masyarakat Indonesia sebagai sumber berita dengan persentase 88%. Hal tersebut menunjukkan media daring merupakan tempat penyebaran informasi yang penting. Penelitian ini bertujuan untuk mengklasifikasikan topik yang ada dalam berita terkait kasus Covid-19 dalam media massa Kompas dengan menggunakan multilayer perceptron. Berdasarkan hasil penelitian, berita kasus Covid-19 dapat dikategorikan menjadi empat label, yaitu kebijakan pemerintah, pemberitahuan informasi, internasional, dan masyarakat umum. Tingkat akurasi yang didapat dari pemodelan dengan multilayer perceptron adalah 75%. Kemiripan pada kata-kata dalam data menyebabkan adanya kesalahan dalam membedakan antara satu topik dengan topik lainnya.

Author Biographies

Faradhiba Salsabila, Universitas Padjadjaran

Linguistik

Afrida Helen, Universitas Padjadjaran

Teknik Informatika

Susi Yuliawati, Universitas Padjadjaran

Linguistik

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Published

2022-11-30

Issue

Vol. 21 No. 4 (2022): November 2022

Section

Articles

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Copyright (c) 2022 Faradhiba Salsabila, Afrida Helen, Susi Yuliawati

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