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Analysis of Students Mathematical Representation Skills in Relation to Self-Efficacy

Unnes Journal of Mathematics Education Research · Vol. 2 No. 1 (2026)

DOI
10.15294/ujmer.v2i1.49886
ISSN
2502-4507, 2252-6455
Published
2026-09-09
Publisher
Postgraduate, Universitas Negeri Semarang.
Language
eng

Abstract

Mathematical representation skills and self-efficacy are two important components that interact with one another in determining success in mathematics learning. This study aims to analyze differences in students mathematical representation skills in relation to their levels of self-efficacy, as well as to describe the characteristics of achievement in mathematical representation indicators at each level. The research method used was a mixed-methods approach with an explanatory sequential design. The sample consisted of 29 eighth-grade students from Class VIII I at SMP Negeri 2 Semarang. Data were collected using a self-efficacy questionnaire and a written test of mathematical representation skills, then analyzed using a One-Way ANOVA test and an analysis of students answer sheets. The results of the quantitative analysis indicate significant differences in mathematical representation ability among students with high, medium, and low self-efficacy. Tukey’s HSD post hoc test confirms that all pairwise comparisons between groups are statistically significant. Furthermore, the qualitative analysis reveals more complex dynamics through 7 combinations of self-efficacy categories with mathematical representation ability. The relationship between the two variables is not always directly proportional; it was found that students with high self-efficacy had high and medium levels of representational ability, students with medium self-efficacy had high, medium, and low levels of representational ability, and students with low self-efficacy had medium and low levels of representational ability.

Keywords

Collaboration network of the authors

40 authors · 90 co-authorship links · 1 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • State University of Semarang
  • Tun Hussein Onn University of Malaysia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Scolastika MarianiState University of Semarang6
Arief AgoestantoAffiliation unknown5
Sugiman SugimanAffiliation unknown5
Mashuri MashuriAffiliation unknown3
Riza ArifudinState University of Semarang2
Nurkaromah DwidayatiAffiliation unknown2
Yuninda Diah PratiwiAffiliation unknown2
Dwijanto DwijantoAffiliation unknown2
Sugeng NugrohoAffiliation unknown2
Ratna Nur Mustika SanusiAffiliation unknown1
Nur Achmey Selgi HarwantiAffiliation unknown1
Alfian Adi PratamaAffiliation unknown1
Raras Setya AstutiAffiliation unknown1
Feri FarkhanAffiliation unknown1
Much Aziz MuslimTun Hussein Onn University of Malaysia1
Dedy PurnawanAffiliation unknown1
Dwi Prisita AnggriningrumAffiliation unknown1
Zaenal AbidinAffiliation unknown1
Noni NofiyahAffiliation unknown1
Yuliyanti KaromahAffiliation unknown1
SELY AGUSTINAAffiliation unknown1
RIZA SILVIA FAUSTINAAffiliation unknown1
Addinul AssidiqAffiliation unknown1
Andhina SaraswatiAffiliation unknown1
hengky tri ikhsanto hengky tri ikhsantoAffiliation unknown1
Muhammad KharisAffiliation unknown1
Novia Nilam NurlazuardiniAffiliation unknown1
Ruliana RulianaAffiliation unknown1
Zaenuri ZaenuriState University of Semarang1
Enggar Niken LarasatiAffiliation unknown1
Elisa Desi AsrianiAffiliation unknown1
Ratna Novita SariAffiliation unknown1
Nur HidayatiAffiliation unknown1
Nur Karomah DwidayatiAffiliation unknown1
Laeli Sidik FebriantoAffiliation unknown1
YL SukestiyarnoAffiliation unknown1
Siti Faiqotul UlyaAffiliation unknown1
Andika Resti SuryaniAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/ujmer/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">Analysis of Students Mathematical Representation Skills in Relation to Self-Efficacy</dc:title>
	<dc:creator xml:lang="en">Utami, Laeli</dc:creator>
	<dc:creator xml:lang="en">Hendikawati, Putriaji</dc:creator>
	<dc:subject xml:lang="en">Mathematics Learning</dc:subject>
	<dc:subject xml:lang="en">Representational Ability</dc:subject>
	<dc:subject xml:lang="en">Self-efficacy</dc:subject>
	<dc:description xml:lang="en">Mathematical representation skills and self-efficacy are two important components that interact with one another in determining success in mathematics learning. This study aims to analyze differences in students mathematical representation skills in relation to their levels of self-efficacy, as well as to describe the characteristics of achievement in mathematical representation indicators at each level. The research method used was a mixed-methods approach with an explanatory sequential design. The sample consisted of 29 eighth-grade students from Class VIII I at SMP Negeri 2 Semarang. Data were collected using a self-efficacy questionnaire and a written test of mathematical representation skills, then analyzed using a One-Way ANOVA test and an analysis of students answer sheets. The results of the quantitative analysis indicate significant differences in mathematical representation ability among students with high, medium, and low self-efficacy. Tukey’s HSD post hoc test confirms that all pairwise comparisons between groups are statistically significant. Furthermore, the qualitative analysis reveals more complex dynamics through 7 combinations of self-efficacy categories with mathematical representation ability. The relationship between the two variables is not always directly proportional; it was found that students with high self-efficacy had high and medium levels of representational ability, students with medium self-efficacy had high,  medium, and low levels of representational ability, and students with low self-efficacy had medium and low levels of representational ability.</dc:description>
	<dc:publisher xml:lang="en">Postgraduate, Universitas Negeri Semarang.</dc:publisher>
	<dc:date>2026-09-09</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/ujmer/article/view/49886</dc:identifier>
	<dc:identifier>10.15294/ujmer.v2i1.49886</dc:identifier>
	<dc:source xml:lang="en">Unnes Journal of Mathematics Education Research; Vol. 2 No. 1 (2025): ICT: Learning Innovation</dc:source>
	<dc:source>2502-4507</dc:source>
	<dc:source>2252-6455</dc:source>
	<dc:source>10.15294/ujmer.v2i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/ujmer/article/view/49886/11387</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Unnes Journal of Mathematics Education Research</dc:rights>
</oai_dc:dc>