Sains
Malaysiana 50(6)(2021): 1815-1825
http://doi.org/10.17576/jsm-2021-5006-26
A Bibliometric
Analysis of COVID-19 Research in Malaysia using Latent Dirichlet Allocation
(Suatu Analisis
Bibliometrik Kajian COVID-19 di Malaysia menggunakan Agihan Dirichlet
Terpendam)
ZAMIRA HASANAH ZAMZURI*
Department of
Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan
Malaysia, 43600 UKM Bangi, Selangor Darul Ehsan, Malaysia
Diterima: 29 Januari
2021/Diserahkan: 28 April 2021
ABSTRACT
Coronavirus
COVID-19 shocking the whole world due to its highly contagious characteristics
implicating not only public health, but also economy and social life. Since the
effects are momentous, plenty of research have been conducted and still ongoing
in order to study and to learn more about this virus and how it changing our
daily life. In this paper, we explore 134 articles published in 2020 related to
COVID-19 and narrowing the scope of study to Malaysia. An alternative route was
taken by employing Latent Dirichlet Allocation (LDA) to identify underlying
themes or topics in these publications. Two separate analyses were conducted,
one is to the paper’s titles and another one to the journal’s names. The
findings identified three topics for paper’s titles data are clinical study,
impact of COVID-19 on various fields and Movement Control Order (MCO). The last
topic shows the locality criterion in the studied papers as the term MCO was
only used in Malaysia. For the journal’s names, three topics identified were
medical study, public health also business and education. Two papers with the
most number of citations are both in social sciences. Investigating the
properties of these topics, we found that papers on clinical studies are the
ones with more chance to be cited and published by reputable publishers. These
findings may help researchers on planning and strategizing for future research
on COVID-19 specifying on Malaysia cases.
Keywords:
COVID-19; movement control order; social sciences
ABSTRAK
Koronavirus
COVID-19 telah mengejutkan seluruh dunia kerana ciri penularan jangkitannya
yang melibatkan bukan sahaja kesihatan awam, tetapi juga ekonomi dan kehidupan
sosial. Oleh kerana kesannya sangat penting, banyak kajian telah dijalankan dan
masih dijalankan untuk mengkaji dan mengetahui lebih lanjut tentang virus ini
dan bagaimana ia mengubah kehidupan seharian kita. Dalam makalah ini, kami
mengkaji 134 artikel yang diterbitkan pada tahun 2020 berkaitan dengan COVID-19
dan mengecilkan skop kajian kepada Malaysia. Satu langkah alternatif telah
diambil dengan menggunakan Latent Dirichlet Allocation (LDA) untuk mengenal
pasti tema atau topik yang mendasari penerbitan ini. Dua analisis berasingan
telah dijalankan, satu kepada judul makalah dan satu lagi untuk nama jurnal.
Hasil kajian telah mengenal pasti tiga topik untuk data tajuk kertas iaitu
kajian klinikal, kesan COVID-19 dalam pelbagai bidang dan Perintah Kawalan
Pergerakan (MCO). Topik terakhir menunjukkan kriteria lokaliti dalam makalah
yang dikaji kerana istilah MCO hanya digunakan di Malaysia. Untuk nama jurnal,
tiga topik yang dikenal pasti adalah kajian perubatan, kesihatan awam serta
perniagaan dan pembelajaran. Dua makalah dengan petikan tertinggi adalah dalam
bidang sains sosial. Dalam kajian sifat topik ini, kami mendapati bahawa
makalah mengenai kajian klinikal mempunyai peluang lebih baik untuk dipetik dan
diterbitkan oleh penerbit terkemuka. Penemuan ini dapat membantu para
penyelidik untuk merancang dan menyusun strategi untuk penyelidikan masa depan
mengenai COVID-19 khusus untuk kes-kes di Malaysia.
Kata
kunci: COVID-19; perintah kawalan pergerakan; sains sosial
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*Corresponding author;
email: zamira@ukm.edu.my
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