Journal
Area group Learning Strategies by Using Brush Away Technique in Identifying Fine Motor and Art Skills for Kindergarden
Journal of Primary Education · Vol. 8 No. 6 (2019) · pp. 299–306
- ISSN
- 2502-4515, 2252-6404
- Published
- 2019-08-21
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
One strategy that can be done by the teachers to identify fine motoric and art skills is by using brush away technique. This study aimed to determine the effectiveness of abdominal brush away activities, to identify the advantages of brush away with other fine motoric activities in fine motoric and art skills of early childhood, and to know the difficulties of children in brush away activities. This research uses a qualitative descriptive approach. Data collection techniques using observation sheet instruments include anecdotal records and interviews. The data analysis in this study is using triangulation method through the description of the observation sheet. The results of this study are brush away technique makes it easy to identify fine motor and art skills for the early childhood, the advantage of brush away is there are some achievements in fine motor and art development in one activity, the children feel difficulty when they are cutting and rubbing the color with the fingers in brush away. In this research, it was found out brush away had just been introduced to the children, so some of them are not perfect when coloring in brush away activities by their fingers. The benefits of this research are as additional new knowledge in identifying fine motor and art skills for kindergarten and as a reference for future research.
Collaboration network of the authors
40 authors · 157 co-authorship links · 1 across different organisations · 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
- Universitas Media Nusantara Citra
- Universitas Bhayangkara Surabaya
- 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 |
|---|---|---|
| Harianingsih Harianingsih | Affiliation unknown | 8 |
| Bambang Subali | Affiliation unknown | 7 |
| Samsudi Samsudi | Affiliation unknown | 6 |
| Arief Yulianto | Universitas Media Nusantara Citra | 5 |
| Ellianawati Ellianawati | State University of Semarang | 4 |
| Rusdarti Rusdarti | Affiliation unknown | 4 |
| Yuli Utanto | Affiliation unknown | 4 |
| Bunyamin Bunyamin | Affiliation unknown | 3 |
| Tri Suminar | Affiliation unknown | 3 |
| Titi Prihatin | Affiliation unknown | 3 |
| Farid Ahmadi | Affiliation unknown | 3 |
| Haryono Haryono | Universitas Bhayangkara Surabaya | 3 |
| Sri Sumartiningsih | Affiliation unknown | 2 |
| Mu’arifuddin Mu’arifuddin | Affiliation unknown | 2 |
| Wiwik Hidayati | State University of Semarang | 2 |
| Joko Widodo | Affiliation unknown | 2 |
| Maman Rachman | Affiliation unknown | 2 |
| Rodia Syamwil | Affiliation unknown | 2 |
| Enggar Estiwi | Affiliation unknown | 2 |
| Antonius Tri Widodo | Affiliation unknown | 2 |
| Wahyu Lestari | Affiliation unknown | 2 |
| Suwito Eko Pramono | Affiliation unknown | 2 |
| Sugiyo Sugiyo | Affiliation unknown | 2 |
| Udi Utomo | Affiliation unknown | 2 |
| Ian Yulianti | Affiliation unknown | 1 |
| Listiyanto Listiyanto | Affiliation unknown | 1 |
| Natalia Erna Setyaningsih | Affiliation unknown | 1 |
| Fitri Nurdiana | Affiliation unknown | 1 |
| Diah Nur Fitriasari | Affiliation unknown | 1 |
| Rahayu Pangestuti | Affiliation unknown | 1 |
| Leni Vannesa | Affiliation unknown | 1 |
| Bagus Ginanjar | Affiliation unknown | 1 |
| Atik Yuliyani | Affiliation unknown | 1 |
| Tudrika Akhilia | Affiliation unknown | 1 |
| Didik Wiyono | Affiliation unknown | 1 |
| Muhammad Miftah | Affiliation unknown | 1 |
| Muarifuddin Muarifuddin | 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.