Journal
Utilizing Children’s Song Videos To Create A Religious Character In Children With Intellectual Disabilities
Jurnal Seni Musik · Vol. 10 No. 2 (2021) · pp. 184–194
- ISSN
- 2503-2860, 2301-4091
- Published
- 2021-12-31
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Character education at SLB Negeri 1 Pemalang has not been able to run optimally since the emergence of the Covid-19 pandemic affecting the learning activities having to be carried out online. However, the efforts made by one of the teachers at SLB Negeri 1 Pemalang to create religious characters through song videos show that character education can still be done by utilizing technological advances in online learning. This study aims to describe and analyze children's song videos used by teachers to create religious characters for students with intellectual disabilities of class IV C at SLB Negeri 1 Pemalang. The research method of this study is descriptive qualitative. The results of this study show that the videos of songs by Nussa and Rara entitled "Rukun Iman", "Rukun Islam", and "Berkata Baik atau Diam" can be used by teachers to create religious characters for students with intellectual disabilities. The three songs have elements of similar musicality that are easy to be learned and mastered by students in the children's age group. The lyrics of these songs contain Islamic trilogy in the form of basic concepts of character building, namely aqidah, sharia, and morals. The three songs are presented in the form of animated videos so that it is interesting. It eases students with intellectual disabilities to accept and understand the learning material provided.
Collaboration network of the authors
40 authors · 119 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
- State University of Jakarta
- 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 |
|---|---|---|
| Sunarto Sunarto | Affiliation unknown | 10 |
| Wadiyo Wadiyo | Affiliation unknown | 9 |
| Totok Sumaryanto Florentinus | State University of Semarang | 8 |
| Triyanto Triyanto | Affiliation unknown | 6 |
| Hartono Hartono | Affiliation unknown | 5 |
| Agus Cahyono | Affiliation unknown | 5 |
| Widodo Widodo | State University of Jakarta | 4 |
| Syahrul Syah Sinaga | Affiliation unknown | 3 |
| Totok Sumaryanto. F | Affiliation unknown | 3 |
| Tjetjep Rohendi Rohidi | Affiliation unknown | 2 |
| Muhammad Jazuli | Affiliation unknown | 2 |
| Totok Sumaryanto Florentinus | Affiliation unknown | 2 |
| Malarsih Malarsih | Affiliation unknown | 2 |
| Syahrul Syah Sinaga | Affiliation unknown | 2 |
| Faruq Alfianto | Affiliation unknown | 2 |
| Slamet Haryono | Affiliation unknown | 1 |
| Tri Danu Satria | Affiliation unknown | 1 |
| Suharto Suharto | Affiliation unknown | 1 |
| Wandah Wibawanto | Affiliation unknown | 1 |
| Metha Bertina | Affiliation unknown | 1 |
| Eko Sugiarto | Affiliation unknown | 1 |
| Prima Suci Lestari | Affiliation unknown | 1 |
| Suharto S | Affiliation unknown | 1 |
| Tegar Anugrahita | Affiliation unknown | 1 |
| Dedy Firduansyah | Affiliation unknown | 1 |
| Willy Lontoh | Affiliation unknown | 1 |
| Setyati Dyah Handayani | Affiliation unknown | 1 |
| Firdaus Perdana | Affiliation unknown | 1 |
| Masayu Selly Sabillah | Affiliation unknown | 1 |
| Richard Junior Kapoyos | Affiliation unknown | 1 |
| Bahtiar Arbi | Affiliation unknown | 1 |
| Eryaya Nirbaya | Affiliation unknown | 1 |
| Setiorini Rahma Safitri | Affiliation unknown | 1 |
| Rofiandri Suardi | Affiliation unknown | 1 |
| Ahmad Zahry Mujadid | Affiliation unknown | 1 |
| Awang Kautzar | Affiliation unknown | 1 |
| Reza Nepilia Sari | Affiliation unknown | 1 |
| Barkah Bangkit Wijaya | 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.