Melola Discovery

← Melola Discovery

Jurnal SINTA 3

MODEL SEM-PLS TERBAIK UNTUK EVALUASI PEMBELAJARAN MATEMATIKA DISKRIT DENGAN LMS

BAREKENG: Jurnal Ilmu Matematika dan Terapan · Vol. 13 No. 3 (2019) · pp. 157–170

DOI
10.30598/barekengvol13iss3pp157-170ar898
ISSN
2615-3017, 1978-7227
Published
2019-10-01
Publisher
PATTIMURA UNIVERSITY
Language
eng

Abstract

Research on the use of Structural Equation Modelling-Partial Least Square (PLS-SEM) related to Learning Management System LMS has developed very rapidly. However, in these studies, it was not explained how to choose the best model used to evaluate the relationship among latent variables in the model. This study aims to select the best SEM-PLS model related to evaluating the use of LMS in Discrete Mathematics learning based on the criteria of Q2, AIC, AICu, AICc, BIC, HQ, and HQc. Data obtained from a survey of 109 3rd semester students who took Discrete Mathematics courses at STMIK IKMI Cirebon using 5 latent variables. The Main Model is formed based on all research latent variables and evaluated by stages 1) PLS-Algorithm, 2) Bootstrapping and 3) Blindfolding. Based on the Main Model, 16 alternative models are created with the same manifest variables as the Main Model. The best model is determined based on the highest Q2 value, and the least AIC, AICu, AICc, BIC, HQ and HQc values. The results of the study show that the Main Model is better based on the Q2 value compared to other models in this study. Different results are obtained if the AIC, AICu, AICc, BIC, HQ and HQc criteria are used, where Model C2 and B2 are the best models based on these criteria

Collaboration network of the authors

5 authors · 7 co-authorship links

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

  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Utriweni MukhaiyarAffiliation unknown1
Syifa Nurul FatimahAffiliation unknown1
Ahmad Fuad ZainnuddinAffiliation 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://ojs3.unpatti.ac.id/index.php/barekeng/oai, first harvested 5 Nov 2026, last seen 5 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-US">MODEL SEM-PLS TERBAIK UNTUK EVALUASI PEMBELAJARAN MATEMATIKA DISKRIT DENGAN LMS</dc:title>
	<dc:creator>Mardiana, Novi</dc:creator>
	<dc:creator>Faqih, Ahmad</dc:creator>
	<dc:description xml:lang="en-US">Research on the use of Structural Equation Modelling-Partial Least Square (PLS-SEM) related to Learning Management System LMS has developed very rapidly. However, in these studies, it was not explained how to choose the best model used to evaluate the relationship among latent variables in the model. This study aims to select the best SEM-PLS model related to evaluating the use of LMS in Discrete Mathematics learning based on the criteria of Q2, AIC, AICu, AICc, BIC, HQ, and HQc. Data obtained from a survey of 109 3rd semester students who took Discrete Mathematics courses at STMIK IKMI Cirebon using 5 latent variables. The Main Model is formed based on all research latent variables and evaluated by stages 1) PLS-Algorithm, 2) Bootstrapping and 3) Blindfolding. Based on the Main Model, 16 alternative models are created with the same manifest variables as the Main Model. The best model is determined based on the highest Q2 value, and the least AIC, AICu, AICc, BIC, HQ and HQc values. The results of the study show that the Main Model is better based on the Q2 value compared to other models in this study. Different results are obtained if the AIC, AICu, AICc, BIC, HQ and HQc criteria are used, where Model C2 and B2 are the best models based on these criteria</dc:description>
	<dc:publisher xml:lang="en-US">PATTIMURA UNIVERSITY</dc:publisher>
	<dc:date>2019-10-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/898</dc:identifier>
	<dc:identifier>10.30598/barekengvol13iss3pp157-170ar898</dc:identifier>
	<dc:source xml:lang="en-US">BAREKENG: Jurnal Ilmu Matematika dan Terapan; Vol 13 No 3 (2019): BAREKENG: Jurnal Ilmu Matematika dan Terapan; 157-170</dc:source>
	<dc:source>2615-3017</dc:source>
	<dc:source>1978-7227</dc:source>
	<dc:source>10.30598/barekengvol13iss3year2019</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/898/1102</dc:relation>
	<dc:relation>https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/898/1103</dc:relation>
</oai_dc:dc>