Intan Puspita Sari*, Muntazimah
Mathematics Education
Department, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta, Indonesia
|
ARTICLE
INFO |
ABSTRACT |
|
Keywords: Anxiety Mathematics; publication; bibliometric |
Covid-19 is an infectious disease field that is
the main focus of life for the community, both from health, social, economic
and education. With an increase in Covid-19 cases that affect student anxiety
in learning mathematics. The research method used is by using bibliometric
analysis. The results of this study explain that the publication of
mathematics anxiety articles in 2021 is due to the rampant Covid-19 pandemic.
This study aims to provide data on the number of publications, journals about
the most prolific authors and writers from the Indonesian state using the
keyword math anxiety that can be used for future studies. The data generated
through Harzing�s Publish or Perish obtained 1000
metadata where the data has a rapid development in 2021. VOSViewer
shows that the topics are mathematics. |
*corresponding author
E-mail addres: [email protected]
(I. P. Sari)
1. Introduction
Covid-19
is an infectious disease caused by Severe Acute Respiratory Syndrome
Coronavirus 2 (SARS-CoV-2). The increase in Covid-19 cases took place very
quickly in various countries in a short time. So it
can be categorized as a pandemic (WHO, 2020). The Covid-19 pandemic has caused
many aspects of life to decline. A pandemic is a global disease outbreak that
has resulted in a very significant decline in all aspects of life, from the
political, defense and security, economic, social, cultural and educational
aspects (Hasanah & Hamdan, 2021).
In every life,
humans are required to process both physical and non-physical. In the process,
humans need formal and non-formal procedures and learning so that life goes
according to the existing social order. Learning that includes physical and
non-physical is school. School is a reflection of
education in Indonesia. One of the activities in school is learning. In
essence, learning will shape the learning process and produce knowledge. The
learning process is the linking of various elements that have a relationship to
get a maximum result according to the planned goals (Pane & Darwis Dasopang, 2017).
Teaching
and learning activities are a learning process that will occur because of the
interaction between a teacher and his environment. Therefore, learning can
happen anytime and anywhere (Raibowo et al., 2019). One of the learning activities at school
is learning mathematics. Full mathematics learning requires understanding and
mastery of the material to be studied (Kusumawardani et al., 2018). However, not a few
students do not like mathematics because it is considered a difficult subject
to understand (Disai et al., 2018). Besides being considered
difficult, there are other factors that affect the understanding of mathematics.
One of these factors is math anxiety (Setiawan et al., 2020). Jolejole-Caube et al. (2019) said that mathematics anxiety is
the response of students experiencing feelings of tension, anxiety and fear so
that it interferes with concentration in doing math problems and chooses to be
alone without understanding math problems.
Bibliometrics is an
analysis that is part of the evaluation in research. Various literatures that
have been done previously explain that bibliometric analysis can be carried out
with its own method in an effort to determine further research (Ellegaard & Wallin, 2015). Therefore, the purpose of
this study is to find out Hot topics in Anxiety Mathematics: a bibliometric
analysis from 2017-2022. This research will also enable other researchers to
identify key or hot topics to study and to explore updated insights into specific
research areas (Liwei
Ma, 2020). In the world of research, VosViewer
can analyze bibliometrics, find reference sources,
research topics and have opportunities as a first step in research (Nurul & Winoto, 2022).
Based on the general description of Anxiety
Mathematics, the researcher aims to study how the development of Anxiety
Mathematics through bibliometrics in Google Schoolar
indexed articles. From the formulation of the problem, the researcher hopes to
see the developments that occur in Anxiety Mathematics.
2. Methodology
In
this study, the researcher used a bibliometric approach. Bibliometrics is a
method used in evaluating a research process. Based on the previous literature,
it is explained that this method can be done independently without combining it
with other methods (Ellegaard & Wallin, 2015). In this study, the method used was bibliometric analysis obtained
from the Harzing's Publish or Perish database.
Research on mathematics anxiety
in the pandemic era was carried out by bibliometric analysis, observing the
development of scientific production on the subject. For this purpose, a
database was created with the results obtained by performing a search on Harzing's Publish or Perish, Meta data obtained through
Google Scholar from 2017-2022 with the title Hot topics in Anxiety Mathematics:
a bibliometric analysis from 2017-2022. To achieve the goal that the researcher
wants, the researcher uses the application (1) Microsoft Excel, (2) Harzing's Publish or Perish and (3) VOSViewer.
The principle in making
bibliometrics is First, a reference source with the keyword Mathematics
Anxiety. In addition to the title and keywords, the researcher also considers
the year of publication that the researcher determines from 2017 to the last
year of 2022. Second, searches for articles obtained from the Google Scholar
database with Publish or Perish, which is limited to 1000 articles with the
year from 2017 to the last year. 2022. Third, save the Publish or Perish
article data in RIS file and csv file formats, csv files are used to process
data via excel while ris files are for VOSviewer. In searching for the database, you can use
Publish or Perish and visualize it with VOSviewer
(Haniyah & Joko Soebagyo, 2021). So that VOSViewer can collect and compile articles, create
publication maps, and be able to group trends in articles (Ajinegara & Soebagyo, 2022).
Result
Obtained
1000 metadata of research articles with the keyword "mathematics
anxiety" found on Google Scholar from 2017-2022. Based on this search, it
shows that research on "mathematics anxiety" will experience a high
increase in 2021. This is supported by (Stuart, 2012)
states that the factor that causes the high number of anxiety
is the weight of the burden being faced by an individual. The burden in this
situation is due to the COVID-19 pandemic and is supported by (Dinata et al., 2021) which states that the pandemic
situation is prone to anxiety that affects the mental health of students at the
higher education level due to the COVID-19 pandemic situation(Dinata et al., 2021) which can be seen in Figure 1.

Figure 1. Increase in the number
of publications by year
Based on the Figure 1, it is explained that every year there is an
increase that discusses mathematics anxiety. Thus, in 2017-2022 it can be used
as a reference for looking for meta data by waiting for Publish or Perish.
There are several publishers which publish articles on mathematics anxiety, but
the top five publishers are selected. The first publisher with articles related
to mathematics anxiety is liebertpub.com with a total of 362 published
articles.
Table
1. Publisher with the most published articles
|
No |
Publisher |
Total |
|
1 |
885 |
|
|
2 |
Elsevier |
784 |
|
3 |
books.google.com |
240 |
|
4 |
Wiley Online
Library |
216 |
|
5 |
Springer |
198 |
All
articles that have been published in various journals and indexed by Google
Scholar have various citation counts, there are articles that have more than
eight hundred citations. Table 2 shows several articles related to mathematics anviety with the highest number of citations above five
hundred.
Table
2. Articles with the most citations
|
Cites |
Authors |
Title |
Year |
|
885 |
X Zhou, CL Snoswell, LE Harding� |
The role of
telehealth in reducing the mental health burden from COVID-19 |
2020 |
|
784 |
J Koivisto, J Hamari |
The rise of
motivational information systems: A review of gamification research |
2019 |
|
496 |
MA Edwards, S
Roy |
Academic
research in the 21st century: Maintaining scientific integrity in a climate
of perverse incentives and hypercompetition |
2017 |
|
369 |
L Heise, ME Greene, N Opper, M Stavropoulou� |
Gender
inequality and restrictive gender norms: framing the challenges to health |
2019 |
|
310 |
SP Jun, HS Yoo, S Choi |
Ten years of
research change using Google Trends: From the perspective of big data
utilizations and applications |
2018 |
|
269 |
A Suh, J
Prophet |
The state of
immersive technology research: A literature analysis |
2018 |
|
240 |
M Alvesson, Y
Gabriel, R Paulsen |
Return to
meaning: A social science with something to say |
2017 |
|
222 |
A Arora, S Belenzon,
A Patacconi |
The decline
of science in corporate R&D |
2018 |
|
216 |
M Haghani, MCJ Bliemer, F Goerlandt, J Li |
The
scientific literature on Coronaviruses, COVID-19 and its associated
safety-related research dimensions: A scientometric
analysis and scoping review |
2020 |
|
204 |
DM Berry, A Fagerjord |
Digital
humanities: Knowledge and critique in a digital age |
2017 |
The
authors of articles related to mathematics anviety
Publish or Perish Metadata is stored in RIS type for analysis in VOSViewer using the full counting method. The maximum
number of researchers for each article is 25 and the minimum number of articles
from each researcher is 5. As a result, 2311 researchers were detected and
there were only 16 researchers who met the criteria. The sixteen researchers
are presented in Figure 2 below:

Figure
2. The most prolific writers
The
visualization of anviety mathematics displayed by vosviewer is obtained from a binary calculation with a
minimum number of occurrences of 8. It turns out that out of 4978 terms, 163
were selected to meet the criteria. After verification, the existing terms were
selected again to only 96 terms. Furthermore, vosviewer
makes 3 different visualizations, namely the network visualization which will
be shown in Figure 3, the overlay visualization in Figure 4 and the density
visualization which can be seen in Figure 5. The network serves to show network
between terms that are visualized, if the path or network in the analysis
bibliometrics in bold, then it shows a relationship between one term (term)
with other terms (terms) that are quite numerous and strong, on the contrary if
the relationship between terms (terms) with one another in thin print with
small circles, then it is shows a weak relationship between the terms observed (Nurul & Winoto, 2022).

Figure
3. Network Visualizationq

Figure
4. Overlay Visualization
Based on
Figure 5, this Density Visualization shows that 2021 will display the brightest
network. The last visualization is density, density serves to display the
density or emphasis on the research group. This visualization of bibliometric
analysis can be used to determine areas of research that are still rarely done
or that have been done a lot. For researchers, this is certainly very useful if
they want to do research (Nurul & Winoto, 2022).

Figure
5. Density Visualization
The
figure shows that the discussion on the topic of policy gender is green and
slightly yellow, which means that the topic of policy mathematics anxiety has
not received many updates from previous researchers. On the other hand, the
discussion about the phenomenon of bright yellow literature means that there
have been many updates from the results of previous research (Reforma & Asia, 2021). In order to clarify the
visualization, the twenty-seven items are grouped into 5 closely related
clusters. The cluster distribution can be seen in table 3 below:
Tabel 3
Cluster results from overlay dan network visualisation
|
Cluster |
Colour |
Items |
|
1 |
Red |
Bibliometric method, gender, growth, learning, pandemic,
social science, visualization, vosviewer. |
|
2 |
Green |
|
|
3 |
Blue |
|
|
4 |
Yellow |
Academia,
performance, research funding, research paper, university |
|
5 |
Purple |
Visualization
of mathematics anxiety obtained 4978 terms and 163 keywords that met the
threshold. Of the 163 keywords selected back into 96 keywords. It can be seen
in Figure 4 that these keywords are grouped into 5 clusters. Cluster 1 is
marked in red, there are 8 topics, namely Bibliometric method, gender, growth,
learning, pandemic, social science, visualization, vosviewer.
In cluster 2, marked in green, there are 6 topics, namely Anxiety, effect, math
anxiety, mathematics, student. In cluster 3 marked in blue, there are 4 topics,
namely Funding agency, period, person, trend. In cluster 4 marked in yellow,
there are 4 topics, namely Academia, performance, research funding, research
paper, university. In cluster 5 marked in purple, there are 3 topics, namely Bibliometric
approach, bibliometrics, literature.
In the
visualization overlay, the latest research shows up too much. The blue color
indicates that the research topic is a past topic. While the yellow color
indicates that the research topic is a current topic that can be used as a
topic for future research. It can be seen in Figure 5 that the keyword
mathematics anxiety has a fainter yellow color than the other keywords. This
means that the level of use in research is low. While the gender keyword has a
faded green color. This means that this topic has not been widely researched.
The
visualization map produced by VOSviewer which shows
mathematics anxiety and gender has an opportunity to produce novelty in future
research. Results from Google Schoolar indexed
research publications that examine mathematics anxiety with Indonesian
articles. The following is a table of researchers on mathematics anxiety from
Indonesia. The researchers hereby review the top 10 articles in Publish or
Perish with the keywords "Mathematical Anxiety, Gender" from 0-2022
with a maximum number of 200. Taken in 2022 this is because in the graph in
Figure 2 has a blank sign so that researchers want to look deeper into the
results of articles related to the title in 2022 using journal matrices.
Journal metrics are a way to dig deeper from the novelty that has been
obtained. This is used in an effort to strengthen and find relevant references
according to keywords.
Table
4. Mathematical anxiety analysis matrix
|
Author / Year |
Research Topic |
Method |
Results |
|
Urwatil Usqo,
Yenita Roza, Maimunah/ 2022 |
Error in solving
the problem congruent and similarity on female and male
students. |
Qualitative descriptive
with test and interview data collection techniques. |
Female students
experienced lower errors than boys. The biggest mistake of men is the lack of
thoroughness in doing things in a hurry.� |
|
Fauziah Apriyani
dan Adi Ihsan Imami/ 2022 |
Learning
mathematics at the time of face-to-face learning is limited |
Qualitative descriptive
with test and non-test data collection techniques |
Students with very
high anxiety category have poor mathematical problem solving abilities. |
|
Dyah Haerunnisa
dan Adi Ihsan Imami/ 2022 |
Mathematical anxiety |
Descriptive with a
qualitative approach, distributing questionnaires. |
The average level
of mathematical anxiety experienced by junior high school students is
moderate. |
|
Dina Julya dan Iyan
Rosita Dewi Nur/ 2022 |
Mathematical anxiety |
Studi literatur |
Learning outcomes
affect the mathematical anxiety experienced by students. |
|
Yusuf Ramdani, Syamsuri
Syamsuri,� & Aan
Subhan Pamungkas/ 2022 |
Describe the characteristics of high school students' anxiety in
learning mathematics |
Qualitative
descriptive. Collecting data using observation, interviews and documentation. |
The characteristics of
mathematics anxiety are divided into types of anxiety, types of anxiety in
the learning process, and types of anxiety in evaluation. |
|
Novila Muhsana & Hafsah Adha Diana / 2022 |
Knowing the relationship and the influence of anxiety levels mathematics on students' mathematical reasoning abilities in solving
problems PISA-based mathematics. |
Quantitative research
with method associative. collection technique data using a math
anxiety questionnaire and reasoning ability test questions mathematics based on
PISA problems. |
Show that there is a
negative relationship between math anxiety and ability students' mathematical
reasoning with a large correlation of -0.178 and there is no significant
effect significant
relationship between math anxiety on mathematical reasoning ability students in solving
PISA-based math problems |
|
Alissa Az Zahra & Windia Hadi / 2022 |
Relationship between Mathematics Connection Ability (MCA) and Mathematical Resilience (RM) owned by
students. |
Qualitative research with descriptive approach |
Students with high MCA
and MR in the female sex are superior to the male gender, but on the other
hand students who have moderate and low MCA and MR in the male gender are
superior to the female. |
Reviewing
from table 4 above what the author has done, it can be seen that there are only
7 published articles in Indonesia for mathematics anxiety in 2022. This can be
used as a relevant reference in conducting further research.
4. Conclusion
In learning
mathematics through bibliometric analysis, it shows the results of increasing
math anxiety in 2021, this is due to the Covid-19 pandemic. The article with
the most citations, namely 885 citations, was written by X Zhou, CL Snoswell, LE Hardin with the article title "The role
of telehealth in reducing the mental health burden from COVID-19". The
publisher that publishes the most scientific articles on mathematics anxiety is
liebertpub.com with 885 publications. The most prolific researcher is Haoran Xie with 1 published
article. Terms mathematics anxiety has a fairly strong relationship in its
visualization. A research phenomenon that can be used as an opportunity for
further research related to mathematics anxiety with terms including gender.
Ajinegara, M. W., & Soebagyo, J. (2022). Analisis
Bibliometrik Tren Penelitian Media Pembelajaran Google Classroom Menggunakan
Aplikasi VOSViewer. JNPM (Jurnal Nasional Pendidikan Matematika), 6(1),
193. https://doi.org/10.33603/jnpm.v6i1.5451 Google Scholar
Dinata, H., Tiatri, S., & Heng, P. H. (2021). Kecemasan
Mahasiswa Selama Pembelajaran Jarak Jauh Pada Masa Pandemi Covid-19. Jurnal
Muara Ilmu Sosial, Humaniora, Dan Seni, 5(2), 385.
https://doi.org/10.24912/jmishumsen.v5i2.11786.2021 Google Scholar
Disai, W. I., Dariyo, A., & Basaria, D. (2018). Hubungan
Antara Kecemasan Matematika Dan Self-Efficacy Dengan Hasil Belajar Matematika
Siswa Sma X Kota Palangka Raya. Jurnal Muara Ilmu Sosial, Humaniora, Dan
Seni, 1(2), 556. https://doi.org/10.24912/jmishumsen.v1i2.799 Google
Scholar
Ellegaard, O., & Wallin, J. A. (2015). The bibliometric
analysis of scholarly production: How great is the impact? Scientometrics,
105(3), 1809�1831. https://doi.org/10.1007/s11192-015-1645-z Google
Scholar
Haniyah, D., & Joko Soebagyo. (2021). Analisis
Bibliometrik Terhadap Kemampuan Komunikasi Matematis Dalam Pembelajaran
Matematika Berdasarkan Perbedaan Gender berbasis VOSViewer. Buana
Matematika : Jurnal Ilmiah Matematika Dan Pendidikan Matematika, 11(2),
121�136. https://doi.org/10.36456/buanamatematika.v11i2.3966 Google
Scholar
Hasanah, N., & Hamdan, A. M. (2021). Dampak Pandemi
Covid-19 Terhadap Proses Pembelajaran Di Taman Pendidikan Al-Qur�an (TPQ). Jurnal
Riset Dan Pengabdian Masyarakat, 1(1), 70�88. Google Scholar
Jolejole-Caube, C., Dumlao, A. B., & Abocejo, F. T.
(2019). European Journal of Education Studies Anxiety Towards Mathematics
And Mathematics Performance Of Grade 7 LearnerS. May, 344�360.
https://doi.org/10.5281/zenodo.2694050 Google Scholar
Kusumawardani, D. R., Wardono, & Kartono. (2018). Pentingnya
Penalaran Matematika dalam Meningkatkan Kemampuan Literasi Matematika. PRISMA,
Prosiding Seminar Nasional Matematika, 1(1), 588�595. Google
Scholar
Nurul, F., & Winoto, Y. (2022). Pemetaan bibliometrik
terhadap perkembangan penelitian dengan topik arsitektur informasi pada Google
scholar menggunakan Vosviewer Bibliometric mapping of research developments
using information architecture topics on Google scholar using Vosviewer Abstra.
2(1), 43�60. Google Scholar
Pane, A., & Darwis Dasopang, M. (2017). Belajar Dan
Pembelajaran. FITRAH:Jurnal Kajian Ilmu-Ilmu Keislaman, 3(2),
333. https://doi.org/10.24952/fitrah.v3i2.945 Google Scholar
Raibowo, S., Nopiyanto, Y. E., & Muna, M. K. (2019).
Pemahaman Guru PJOK Tentang Standar Kompetensi Profesional. Journal Of Sport
Education (JOPE), 2(1), 10. https://doi.org/10.31258/jope.2.1.10-15 Google
Scholar
Reforma, K., & Asia, N. B. (2021). Study Literature
Review Artikel terindeks Scopus Perihal. 3(2), 107�118. Google
Scholar
Setiawan, M. A., Susongko, P., & Hayati, M. N. (2020).
Pendeteksian DIF pada Perangkat Tes Objektif Penilaian Akhir Semester IPA dengan
Mengunakan PermodelPendeteksian DIF pada Perangkat Tes Objektif Penilaian Akhir
Semester IPA dengan Mengunakan Permodelan Raschan Rasch. Pancasakti Science
Education Journal, 5(2), 23�29. Google Scholar