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Implementation of the Deep Learning Model on Underhand Passing Skills in Volleyball Games at Elementary School

Journal of Physical Education Health and Sport · Vol. 13 No. 1 (2026) · hlm. 81–86

DOI
10.15294/jpehs.v13i1.42755
ISSN
2354-7901, 2354-8231
Terbit
2026-04-30
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

Physical education plays a crucial role in fostering students’ motor, cognitive, and social development at the elementary school level. In volleyball learning, underhand passing is a fundamental skill; however, many students experience difficulties due to conventional drill-based instruction that emphasizes repetition rather than conceptual understanding. This study aimed to examine the effectiveness of implementing the Deep Learning model in improving underhand passing skills among sixth-grade students at Elementary School Cikeusik Rancakalong. The research employed Classroom Action Research (CAR) based on the Kemmis and McTaggart spiral model, consisting of three cycles: planning, action, observation, and reflection. The subjects of the study were 33 sixth-grade students. Data were collected through underhand passing skill tests and structured observation sheets, then analyzed using descriptive quantitative analysis to determine the percentage of learning completeness in each cycle. The findings indicated a consistent and significant improvement in students’ learning outcomes. Learning completeness increased from 12.1% in the pre-cycle to 39.4% in Cycle I, 72.7% in Cycle II, and ultimately reached 90.9% in Cycle III, surpassing the predetermined classical mastery criterion. The results demonstrate that the Deep Learning model not only enhances technical execution but also strengthens students’ conceptual understanding, reflective thinking, and motor awareness. Students became more capable of identifying movement errors and adjusting body positioning effectively. In conclusion, the Deep Learning model provides a structured, student-centered, and reflective instructional approach that effectively improves underhand passing skills and contributes to the development of innovative and meaningful physical education practices in elementary schools.

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Muhammad Nur AlifAfiliasi tidak diketahui5
Tatang MuhtarAfiliasi tidak diketahui4
Dinar DinangsitAfiliasi tidak diketahui4
Entan SaptaniAfiliasi tidak diketahui3
Tedi SupriyadiAfiliasi tidak diketahui2
Rizal Ahmad FauziAfiliasi tidak diketahui2
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Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/jpehs/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 6 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en">Implementation of the Deep Learning Model on Underhand Passing Skills in Volleyball Games at Elementary School</dc:title>
	<dc:creator xml:lang="en">M Zaeni Nur Fuady</dc:creator>
	<dc:creator xml:lang="en">Encep Sudirjo</dc:creator>
	<dc:creator xml:lang="en">Anggi Setia Lengkana</dc:creator>
	<dc:subject xml:lang="en">deep learning model</dc:subject>
	<dc:subject xml:lang="en">technical skills</dc:subject>
	<dc:subject xml:lang="en">underhand pass in volleybal</dc:subject>
	<dc:description xml:lang="en">Physical education plays a crucial role in fostering students’ motor, cognitive, and social development at the elementary school level. In volleyball learning, underhand passing is a fundamental skill; however, many students experience difficulties due to conventional drill-based instruction that emphasizes repetition rather than conceptual understanding. This study aimed to examine the effectiveness of implementing the Deep Learning model in improving underhand passing skills among sixth-grade students at Elementary School Cikeusik Rancakalong. The research employed Classroom Action Research (CAR) based on the Kemmis and McTaggart spiral model, consisting of three cycles: planning, action, observation, and reflection. The subjects of the study were 33 sixth-grade students. Data were collected through underhand passing skill tests and structured observation sheets, then analyzed using descriptive quantitative analysis to determine the percentage of learning completeness in each cycle. The findings indicated a consistent and significant improvement in students’ learning outcomes. Learning completeness increased from 12.1% in the pre-cycle to 39.4% in Cycle I, 72.7% in Cycle II, and ultimately reached 90.9% in Cycle III, surpassing the predetermined classical mastery criterion. The results demonstrate that the Deep Learning model not only enhances technical execution but also strengthens students’ conceptual understanding, reflective thinking, and motor awareness. Students became more capable of identifying movement errors and adjusting body positioning effectively. In conclusion, the Deep Learning model provides a structured, student-centered, and reflective instructional approach that effectively improves underhand passing skills and contributes to the development of innovative and meaningful physical education practices in elementary schools.</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/jpehs/article/view/42755</dc:identifier>
	<dc:identifier>10.15294/jpehs.v13i1.42755</dc:identifier>
	<dc:source xml:lang="en">Journal of Physical Education Health and Sport; Vol. 13 No. 1 (2026); 81 - 86</dc:source>
	<dc:source>2354-7901</dc:source>
	<dc:source>2354-8231</dc:source>
	<dc:source>10.15294/jpehs.v13i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/jpehs/article/view/42755/8610</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Journal of Physical Education Health and Sport</dc:rights>
</oai_dc:dc>