Journal
Development of Learning Modules Discovery Learning Models Based on Results of Plant Identification in School Environments
Journal of Innovative Science Education · Vol. 9 No. 1 (2020) · pp. 19–27
- ISSN
- 2502-4523, 2252-6412
- Published
- 2020-04-06
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
The school environment has potential as a learning resource for developing contextual teaching materials. The purpose of this study is to test the validity and effectiveness of the module learning Discovery Learning model based on identification of plant in SMAN 1 Bangsri, Jepara, Central Java. This research is a development research consist of plants identification and module development. The plants identification refer to internet and book. Module development refers to Sugiyono's model and its validity assessed by 4 validators. The effectiveness of module tested by pretest-posttest control group design. The sample class taken by cluster random sampling technique, 1 experiment class and 1 control class. There are 147 species plant in SMAN 1 Bangsri, they are member of divisio Bryophyta, Pteridophyta, and Spermatophyta. The content of module is a valid, presentation and graphics, and language are a very valid. The result of cognitive test significantly different between control and experiment class. The affective value which very good predicate in the experiment class higher than the control class, while the psychomotor value only a slight difference. The results of validity test and effectiveness of module Discovery Learning model based on the results of plants identification are feasible as teaching materials.
Collaboration network of the authors
40 authors · 176 co-authorship links · 3 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 Airlangga
- 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 |
|---|---|---|
| Andin Irsadi | State University of Semarang | 6 |
| Sri Ngabekti | State University of Semarang | 5 |
| Ani Rusilowati | State University of Semarang | 4 |
| Yustinus Ulung Anggraito | Affiliation unknown | 4 |
| Wiwi Isnaeni | State University of Semarang | 4 |
| Mohammad Akhlas | Affiliation unknown | 4 |
| Sigit Saptono | State University of Semarang | 4 |
| Arif Widiyatmoko | State University of Semarang | 3 |
| Siti Harnina Bintari | Affiliation unknown | 3 |
| Talitha Widiatningrum | Affiliation unknown | 3 |
| Bambang Priyono | State University of Semarang | 3 |
| Ely Rudyatmi | Affiliation unknown | 3 |
| Ning Setiati | Affiliation unknown | 3 |
| Margareta Rahayuningsih | Affiliation unknown | 3 |
| Enni Suwarsi Rahayu | State University of Semarang | 2 |
| Sri Sukaesih | State University of Semarang | 2 |
| Kartono Kartono | Universitas Airlangga | 2 |
| Endang Susiloningsih | Affiliation unknown | 2 |
| Yusuf Zakarias Manutede | Affiliation unknown | 2 |
| Woro Sumarni | State University of Semarang | 2 |
| Wiyanto Wiyanto | State University of Semarang | 2 |
| Dwi Purwanti | Affiliation unknown | 2 |
| Andreas Priyono Budi Prasetyo | State University of Semarang | 2 |
| Sri Mulyani Endang Susilowati | Affiliation unknown | 2 |
| Sunyoto Eko Nugroho | State University of Semarang | 2 |
| Yustinus Ulung Anggraito | Affiliation unknown | 2 |
| Dwita Triana | Affiliation unknown | 2 |
| Hartono Hartono | Affiliation unknown | 2 |
| Dyah Rini Indriyanti | Affiliation unknown | 2 |
| Suharto Linuwihmo | Affiliation unknown | 2 |
| Wardono Wardono | Affiliation unknown | 2 |
| Hardi Suyitno | Affiliation unknown | 2 |
| Bambang Subali | Affiliation unknown | 2 |
| Novi Ratna Dewi | State University of Semarang | 2 |
| Anindita Firdatul Jannah | Affiliation unknown | 2 |
| Lina Herlina | Affiliation unknown | 2 |
| Avif Intan Linawati | Affiliation unknown | 2 |
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.