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Evaluation of Deep Learning in Textile Products Subjects at SMK Ibu Kartini Semarang

Jurnal Penelitian Pendidikan · Vol. 43 No. 1 (2026) · pp. 53–64

DOI
10.15294/jpp.v43i1.40668
ISSN
2580-4154, 2503-1260
Published
2026-04-30
Publisher
Universitas Negeri Semarang
Language
eng

Abstract

This study aims to evaluate the quality of learning in the Fashion expertise program using the CIPP (Context, Input, Process, and Product) model as a comprehensive approach to evaluate deep learning comprehensively on discharge materials in textile product subjects. This study uses an evaluative method with instruments in the form of questionnaires, observation sheets, and document analysis. The research instrument was declared valid based on the content validity test using the Aiken's V coefficient with a value above the minimum limit of 0.77 and reliability based on the Alpha Cronbach test with a reliability coefficient in the range of 0.70–1.00. The results of the evaluation of discharge technique learning using the weighted CIPP model showed that the context dimension obtained an achievement of 22.75%, the input dimension of 19.49%, the process dimension of 22.38%, and the product dimension of 21.54%. These findings show that discharge technique learning has been carried out effectively and relatively evenly in all evaluation dimensions, although there is still a need to strengthen the aspects of conscious learning, the completeness of supporting facilities, and the use of real media to improve the quality of vocational learning in a sustainable manner.

Keywords

Collaboration network of the authors

40 authors · 78 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.

  • Yogyakarta State University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Musdalifah MusdalifahAffiliation unknown3
Sita NurmasitahAffiliation unknown2
Sicilia SawitriAffiliation unknown2
Rina RachmawatiAffiliation unknown2
Widihastuti WidihastutiYogyakarta State University1
Anik GhufronAffiliation unknown1
Luvita NafisahAffiliation unknown1
Dwi Putri AsihAffiliation unknown1
Luluk WitantiAffiliation unknown1
Bilqis Lailatul MardliyahAffiliation unknown1
Anindya Rahma SuwignyoAffiliation unknown1
Sri Endah WahyuningsihAffiliation unknown1
Arti Magdalena SihombingAffiliation unknown1
Citra HapsariAffiliation unknown1
Laila Nurul HanifahAffiliation unknown1
Fatimah AzzahraAffiliation unknown1
Dewi MustikaningtyasAffiliation unknown1
Taofan Ali AchmadiAffiliation unknown1
Muh Fakhrihun NaamAffiliation unknown1
Nanda Delva FitriyahAffiliation unknown1
WidowatiAffiliation unknown1
Regita Sekar Mayang BerliantiAffiliation unknown1
Vanda YulianaAffiliation unknown1
Septina ListianAffiliation unknown1
Uswatun KhasanahAffiliation unknown1
Siti MunawarohAffiliation unknown1
Widowati WidowatiAffiliation unknown1
Desy SetiawatiAffiliation unknown1
Widda RosyidinaAffiliation unknown1
Bonita Paratejasari AnisaAffiliation unknown1
Khoiyum NisyakAffiliation unknown1
Sania Adlina Heansa 14Affiliation unknown1
Puji Hujria SuciAffiliation unknown1
SYAHAR BANINAffiliation unknown1
AYU EKA WULAN YULIANIAffiliation unknown1
KANTHI HAFSARIAffiliation unknown1
Widya AmiliaAffiliation unknown1
Jian FahiraAffiliation 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/JPP/oai, first harvested 5 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Evaluation of Deep Learning in Textile Products Subjects at SMK Ibu Kartini Semarang</dc:title>
	<dc:creator xml:lang="en">Handayani, Alfitri Gita</dc:creator>
	<dc:creator xml:lang="en">Prasetyaningtyas, Wulansari </dc:creator>
	<dc:subject xml:lang="en">textile products, discharge, deep learning, CIPP</dc:subject>
	<dc:description xml:lang="en">This study aims to evaluate the quality of learning in the Fashion expertise program using the CIPP (Context, Input, Process, and Product) model as a comprehensive approach to evaluate deep learning comprehensively on discharge materials in textile product subjects. This study uses an evaluative method with instruments in the form of questionnaires, observation sheets, and document analysis. The research instrument was declared valid based on the content validity test using the Aiken's V coefficient with a value above the minimum limit of 0.77 and reliability based on the Alpha Cronbach test with a reliability coefficient in the range of 0.70–1.00. The results of the evaluation of discharge technique learning  using the weighted CIPP model showed that the context dimension obtained an achievement of 22.75%, the input dimension of 19.49%, the process dimension of 22.38%, and the product dimension of 21.54%. These findings show that discharge technique learning has been carried out effectively and relatively evenly in all evaluation dimensions, although there is still a need to strengthen the aspects of conscious learning, the completeness of supporting facilities, and the use of real media to improve the quality of vocational learning in a sustainable manner.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2026-04-30</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/JPP/article/view/40668</dc:identifier>
	<dc:identifier>10.15294/jpp.v43i1.40668</dc:identifier>
	<dc:source xml:lang="en">Jurnal Penelitian Pendidikan; Vol. 43 No. 1 (2026): April 2026; 53-64</dc:source>
	<dc:source>2580-4154</dc:source>
	<dc:source>2503-1260</dc:source>
	<dc:source>10.15294/jpp.v43i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/JPP/article/view/40668/8113</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Jurnal Penelitian Pendidikan</dc:rights>
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