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The Effectiveness of the Algodoo-Assisted IBMRO Model in Improving Physics Problem-Solving Skills

Jurnal Pendidikan IPA Indonesia · Vol. 14 No. 3 (2025)

DOI
10.15294/jpii.v14i3.26670
ISSN
2089-4392, 2339-1286
Published
2025-09-15
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

The IBMRO (Investigation-Based Multiple Representation Online) learning model is designed to improve physics problem-solving skills. However, its implementation requires the right tools so that the objectives can be achieved even though the learning process is carried out online. This study used Algodoo as a learning tool in the IBMRO model on parabolic motion. This study aims to analyze the effectiveness of the Algodoo-assisted IBMRO model in improving students' physics problem-solving skills. This research employed a pre-experimental one-group pre-test and post-test design, with 96 students divided into three classes. Before and after the learning process, students were given tests (pre-test and post-test). During the learning process, observations were made of student activities. After the learning was completed, students were given a questionnaire to assess their understanding of the learning. The pre-test and post-test scores were analyzed using paired t-test, Wilcoxon test, and n-gain. The percentage of observation and questionnaire data was calculated. The results showed that the average score of students' physics problem-solving skills increased significantly a = 5%, The average n-gain of physics problem-solving skills was in the medium category, the average n-gain of each indicator of physics problem-solving skills was in the medium to high category, student activities were relevant to learning, and students had a good response to learning. This study concludes that the Algodoo-assisted IBMRO model is effective in improving students' physics problem-solving skills.

Keywords

Collaboration network of the authors

40 authors · 83 co-authorship links · 23 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.

  • Universitas PGRI Semarang
  • State University of Semarang
  • Satya Wacana Christian University
  • University of Szeged
  • Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Hasanuddin University
  • National University of Laos
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Joko SaefanAffiliation unknown3
Sigit RistantoUniversitas PGRI Semarang2
Affandi Faisal KurniawanUniversitas PGRI Semarang2
Untung RahardjaAffiliation unknown2
Wiyanto WiyantoState University of Semarang1
Ani RusilowatiState University of Semarang1
Choirul HudaUniversitas PGRI Semarang1
S. SulhadiState University of Semarang1
Azizul Ghofar Candra WicaksonoUniversity of Szeged1
S. SusilawatiUniversitas Islam Negeri Sultan Syarif Kasim Riau1
Wahyudi WijayantoUniversitas PGRI Semarang1
Masturi MasturiHasanuddin University1
S. XaphakdyNational University of Laos1
Setyaningsih SetyaningsihAffiliation unknown1
Fenny RoshayantiAffiliation unknown1
Nizaruddin NizaruddinAffiliation unknown1
Irwan SembiringSatya Wacana Christian University1
Hendry HendrySatya Wacana Christian University1
Erick Alfons LisanganAffiliation unknown1
Samsudi SamsudiAffiliation unknown1
A.T. SoegitoAffiliation unknown1
Rangga Apriliyanto SaputraAffiliation unknown1
Anwar SutoyoAffiliation unknown1
Muhammad JaparAffiliation unknown1
Anisa Zulfa NadiaAffiliation unknown1
Elgana SeptianaAffiliation unknown1
Intan Ayu PramestiAffiliation unknown1
Siti PatonahUniversitas PGRI Semarang1
Riska AjibudiartaAffiliation unknown1
Muhammad Syaipul HayatAffiliation unknown1
Julia JuliaAffiliation unknown1
Affandi Faisal KuriawanAffiliation unknown1
A.Farid RohmatullohAffiliation unknown1
Ndzani Latifatur Rofi’ahAffiliation unknown1
Faza Khilyatin UlaAffiliation unknown1
Hafidha Asni AkmaliaAffiliation unknown1
Iqbal Ainur RizkiUniversitas Negeri Surabaya1

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/jpii/oai, first harvested 29 Oct 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">The Effectiveness of the Algodoo-Assisted IBMRO Model in Improving Physics Problem-Solving Skills</dc:title>
	<dc:creator xml:lang="en">Joko Siswanto</dc:creator>
	<dc:creator xml:lang="en">Nur Khoiri</dc:creator>
	<dc:creator xml:lang="en">Hanandita Veda Saphira</dc:creator>
	<dc:subject xml:lang="en">effectiveness</dc:subject>
	<dc:subject xml:lang="en">IBMRO</dc:subject>
	<dc:subject xml:lang="en">Algodoo</dc:subject>
	<dc:subject xml:lang="en">problem-solving skills</dc:subject>
	<dc:subject xml:lang="en">physics</dc:subject>
	<dc:description xml:lang="en">The IBMRO (Investigation-Based Multiple Representation Online) learning model is designed to improve physics problem-solving skills. However, its implementation requires the right tools so that the objectives can be achieved even though the learning process is carried out online. This study used Algodoo as a learning tool in the IBMRO model on parabolic motion. This study aims to analyze the effectiveness of the Algodoo-assisted IBMRO model in improving students' physics problem-solving skills. This research employed a pre-experimental one-group pre-test and post-test design, with 96 students divided into three classes. Before and after the learning process, students were given tests (pre-test and post-test). During the learning process, observations were made of student activities. After the learning was completed, students were given a questionnaire to assess their understanding of the learning. The pre-test and post-test scores were analyzed using paired t-test, Wilcoxon test, and n-gain. The percentage of observation and questionnaire data was calculated. The results showed that the average score of students' physics problem-solving skills increased significantly a = 5%, The average n-gain of physics problem-solving skills was in the medium category, the average n-gain of each indicator of physics problem-solving skills was in the medium to high category, student activities were relevant to learning, and students had a good response to learning. This study concludes that the Algodoo-assisted IBMRO model is effective in improving students' physics problem-solving skills.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-09-15</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/jpii/article/view/26670</dc:identifier>
	<dc:identifier>10.15294/jpii.v14i3.26670</dc:identifier>
	<dc:source xml:lang="en">Jurnal Pendidikan IPA Indonesia; Vol. 14 No. 3 (2025): September 2025</dc:source>
	<dc:source>2089-4392</dc:source>
	<dc:source>2339-1286</dc:source>
	<dc:source>10.15294/jpii.v14i3</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jpii/article/view/26670/6092</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Jurnal Pendidikan IPA Indonesia</dc:rights>
</oai_dc:dc>