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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) · hlm. 53–64

DOI
10.15294/jpp.v43i1.40668
ISSN
2580-4154, 2503-1260
Terbit
2026-04-30
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

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.

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  • State University of Semarang
  • Hasanuddin University
  • Yogyakarta State University
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Rekan penulisOrganisasiArtikel bersama
Sita NurmasitahState University of Semarang2
Sicilia SawitriState University of Semarang2
Musdalifah MusdalifahHasanuddin University2
Rina RachmawatiState University of Semarang2
Widihastuti WidihastutiYogyakarta State University1
Anik GhufronAfiliasi tidak diketahui1
Luvita NafisahState University of Semarang1
Sri Endah WahyuningsihState University of Semarang1
Dwi Putri AsihState University of Semarang1
Luluk WitantiState University of Semarang1
Bilqis Lailatul MardliyahState University of Semarang1
Anindya Rahma SuwignyoState University of Semarang1
Arti Magdalena SihombingState University of Semarang1
Citra HapsariState University of Semarang1
Laila HanifahState University of Semarang1
Muh Fakhrihun NaamAfiliasi tidak diketahui1
Fatimah Annisa AzzahraState University of Semarang1
Dewi MustikaningtyasState University of Semarang1
Taofan Ali AchmadiState University of Semarang1
Nanda Delva FitriyahState University of Semarang1
Vanda YulianaAfiliasi tidak diketahui1
Septina ListianState University of Semarang1
Siti MunawarohState University of Semarang1
Musdalifah MusdalifahState University of Semarang1
Desy SetiawatiState University of Semarang1
Widowati WidowatiState University of Semarang1
Widda RosyidinaAfiliasi tidak diketahui1
Bonita Paratejasari AnisaState University of Semarang1
SYAHAR BANINState University of Semarang1
AYU EKA WULAN YULIANIAfiliasi tidak diketahui1
KANTHI HAFSARIState University of Semarang1
Widya AmiliaState University of Semarang1
Jian FahiraState University of Semarang1
Arfinda YosihahState University of Semarang1
Dyah Ayu Nimas WidyaasihState University of Semarang1
Pramesti RaafsanjaniState University of Semarang1
Miftaniah MiftaniahState University of Semarang1
Tsabita Luthfia AnjaniState University of Semarang1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/JPP/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (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>
</oai_dc:dc>