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Development of an Automatic Presence Online Training Model Based on IMPE (Interaction, Material, Project, Evaluation) in the Merdeka Belajar Era

Innovative Journal of Curriculum and Educational Technology · Vol. 12 No. 1 (2023) · pp. 56–64

DOI
10.15294/ijcet.v12i1.71258
ISSN
2252-7125
Published
2023-06-30
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

Efforts to improve the quality of education include various pieces of training to improve teacher competence, for example by facilitating classroom administration. Therefore, schools must pay attention to teacher performance with all the effort and capital to improve these skills. This study aims to develop an automatic presence online training model and also look at increasing teacher competency in class administration automation. The research method used is the development method with the ADDIE model. The object of research is participants in automatic presence training, the majority of whom are teachers, research instruments are in the form of questionnaires, questionnaires, and interviews. Regression is used as a method of analysis. The results showed that based on the results of calculations on the Wilcoxon Signed Rank Test, Asymp. Sig is 0.021 which means pre-test. So that it can be said that the IMPE model has proven to be effective in increasing the competence of participants in automated attendance online training. These findings confirm that the IMPE-based training model can increase teacher competency in class administration automation.

Collaboration network of the authors

40 authors · 103 co-authorship links · 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
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Tri SuminarAffiliation unknown5
Yuli UtantoAffiliation unknown4
Haryono HaryonoAffiliation unknown3
Kustiono KustionoAffiliation unknown3
Samsudi SamsudiAffiliation unknown2
Dwi Yuwono Puji SugihartoAffiliation unknown2
Sri SulistyoriniState University of Semarang2
Totok Sumaryanto FlorentinusState University of Semarang2
Dyah Rini IndriyantiState University of Semarang1
Parmin ParminState University of Semarang1
Suharto SuhartoAffiliation unknown1
Ida ZulaehaAffiliation unknown1
Maria Ayu PuspitaAffiliation unknown1
Bayu Tri PrasojoAffiliation unknown1
Hadromi HadromiAffiliation unknown1
Arief WidiyatmokoAffiliation unknown1
Joko SutartoAffiliation unknown1
Fildzah Mahdiya KarimahAffiliation unknown1
Ni'ma Qorina Nur SantiAffiliation unknown1
Nadia Ameliana PutriAffiliation unknown1
Lale Lorajita Resma FebrianaAffiliation unknown1
Christ Junearna WidyanoorAffiliation unknown1
Firdhiani AzizahAffiliation unknown1
Apriyana Kurnia RahmatikaAffiliation unknown1
Aji SetiawanAffiliation unknown1
Miftakhul Huda HudaAffiliation unknown1
Farida Puput lestariAffiliation unknown1
Rochmad RochmadAffiliation unknown1
Asih KuswardinahAffiliation unknown1
Feri HarfianaAffiliation unknown1
Siti RidloahAffiliation unknown1
Anindya ArdiansariAffiliation unknown1
Syam WidiaAffiliation unknown1
Anita NurkhasanahAffiliation unknown1
Awalya AwalyaAffiliation unknown1
Ar Byanfikas MusitaAffiliation unknown1
Laili RahmawatiAffiliation 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/sju/index.php/ujet/oai, first harvested 6 Nov 2026, last seen 6 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en-US">Development of an Automatic Presence Online Training Model Based on IMPE (Interaction, Material, Project, Evaluation) in the Merdeka Belajar Era</dc:title>
	<dc:creator>Arifin, Khairul</dc:creator>
	<dc:creator>Sugiyo Pranoto, Yuli Kurniawati</dc:creator>
	<dc:creator>Ahmadi, Farid</dc:creator>
	<dc:description xml:lang="en-US">Efforts to improve the quality of education include various pieces of training to improve teacher competence, for example by facilitating classroom administration. Therefore, schools must pay attention to teacher performance with all the effort and capital to improve these skills. This study aims to develop an automatic presence online training model and also look at increasing teacher competency in class administration automation. The research method used is the development method with the ADDIE model. The object of research is participants in automatic presence training, the majority of whom are teachers, research instruments are in the form of questionnaires, questionnaires, and interviews. Regression is used as a method of analysis. The results showed that based on the results of calculations on the Wilcoxon Signed Rank Test, Asymp. Sig is 0.021 which means &amp;lt;0.05. Then the results of the post-test &amp;gt; pre-test. So that it can be said that the IMPE model has proven to be effective in increasing the competence of participants in automated attendance online training. These findings confirm that the IMPE-based training model can increase teacher competency in class administration automation.</dc:description>
	<dc:publisher xml:lang="en-US">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2023-06-30</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-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/sju/ujet/article/view/71258</dc:identifier>
	<dc:identifier>10.15294/ijcet.v12i1.71258</dc:identifier>
	<dc:source xml:lang="en-US">Innovative Journal of Curriculum and Educational Technology; Vol 12 No 1 (2023): June 2023; 56-64</dc:source>
	<dc:source>2252-7125</dc:source>
	<dc:source>10.15294/ijcet.v12i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/sju/ujet/article/view/71258/24714</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Innovative Journal of Curriculum and Educational Technology</dc:rights>
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