Journal
Pembelajaran PJOK Materi Bela Diri SMA Kelas 10 di Kecamatan Sukorejo Kabupaten Kendal
Indonesian Journal for Physical Education and Sport · Vol. 4 (2023) · pp. 163–169
- ISSN
- 2774-4434, 2723-6803
- Published
- 2023-11-22
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The purpose of this study was to identify and describe learning planning, implementation of learning, and evaluation of self-defense learning. This type of research is descriptive research with a quantitative approach. The sampling technique was purposive sampling technique. Data collection techniques using a questionnaire. The data analysis technique used descriptive technique. Based on the results of research, the implementation of Physical Education, Sports and Health (PJOK) learning in general has not been able to take place well. It can be seen from the results of research on three important aspects of learning, namely learning planning, where the results of student assessments are 76.81% included in the Good category, and the results of teacher assessments 62.5% are included in the Good category. in the Less Good category and the results of the teacher's assessment of 58.5% are included in the Less Good category. Learning evaluation where the results of student assessments 71.17% are included in the Good category and the results of teacher assessments are 50% included in the Less Good category. Overall less than optimal. The thing that needs to be considered is that subject teachers can better utilize learning media to support the process of teaching and learning activities so that the results achieved can be maximized.
Collaboration network of the authors
40 authors · 134 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-author | Organisation | Joint articles |
|---|---|---|
| Dwi Gansar Santi Wijayanti | Affiliation unknown | 6 |
| Agus Pujianto | Affiliation unknown | 5 |
| Wahyu Ragil Kurniawan | Affiliation unknown | 4 |
| Adi S | Affiliation unknown | 3 |
| Sulaiman | Affiliation unknown | 3 |
| Moch Fahmi Abdulaziz | Affiliation unknown | 3 |
| Mugiyo Hartono | Affiliation unknown | 3 |
| Armayta Dwi Tadita | Affiliation unknown | 2 |
| Roas Irsyada | Affiliation unknown | 2 |
| Hermawan Pamot Rahardjo | Affiliation unknown | 2 |
| Endang Sri Hanani | Affiliation unknown | 2 |
| Vivi Septiana Parista | Affiliation unknown | 2 |
| Dhimas Bagus Dharmawan | Affiliation unknown | 2 |
| Lulu April Farida | Affiliation unknown | 1 |
| Aftina Nurul Husna | Affiliation unknown | 1 |
| Silvia Indriyani | Affiliation unknown | 1 |
| Dhoni Frizky Arya Sahab | Affiliation unknown | 1 |
| Suminar Suminar | Affiliation unknown | 1 |
| Barata Yuda | Affiliation unknown | 1 |
| Hasna Tri Oktavia | Affiliation unknown | 1 |
| Erfandy Aryantara | Affiliation unknown | 1 |
| Aisyah Adinda Az-Zahra | Affiliation unknown | 1 |
| Ema Agita Yulianti | Affiliation unknown | 1 |
| Bhayu Billiandri | Affiliation unknown | 1 |
| Ulya Sekar Arumdhani | Affiliation unknown | 1 |
| Donny Wira Yudha Kusuma | Affiliation unknown | 1 |
| Ridha Aulliyya Ainur Ramadhani | Affiliation unknown | 1 |
| Agus Widodo Suripto | Affiliation unknown | 1 |
| Lukluil Badriyah | Affiliation unknown | 1 |
| Faizal Anwar Al Mukharom | Affiliation unknown | 1 |
| Bambang Priyono | State University of Semarang | 1 |
| Sahfa Hany Rachma | Affiliation unknown | 1 |
| Rachmad Irfan Nur Maliki | Affiliation unknown | 1 |
| Hijrah Maulidiah Afifah | Affiliation unknown | 1 |
| Drastiana Siwi Maheswari | Affiliation unknown | 1 |
| Shabrina Bilqiss Nabilla | Affiliation unknown | 1 |
| Kiki Revalyn Amelia | Affiliation unknown | 1 |
| Khafid Maulana | Affiliation unknown | 1 |
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.