Journal
Identifying Medicinal Plant in Local Custom Nasinoah Forest to Develop Local Wisdom Based Learning Material
Journal of Innovative Science Education · Vol. 8 No. 2 (2019) · pp. 108–115
- ISSN
- 2502-4523, 2252-6412
- Published
- 2019-08-05
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Biloto villagers who are living nearby Nasinoah forest have strong interaction with the environment. The interaction brings about skills in managing the natural resource to be useful for life particularly making use of any plants as traditional medicine done by mnanet (traditional medical experts). This study aimed at: 1) Identifying and documenting the species of medicinal plants in Nasinoah forest; 2). Creating material and other teaching and learning instruments of biological variety and the use of natural resource based on identification and documentation result; 3) Testing validity and legibility of the material and instruments. The data gathered were the species of medicinal plants and local skills in managing the plants. Interview, survey, and literature were the instruments used to gather data. The study revealed that there were 33 kinds of plant identified as medicinal plants classified into 25 different familys which were used by Biloto villagers. Then, learning material about medicinal plants was arranged as contextual material based on the data. The study concluded that there were variety of medicinal plants used by Biloto villagers as medicine and the contextual teaching and learning instruments were valid and applicable.
Collaboration network of the authors
40 authors · 167 co-authorship links · 7 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
- Kasetsart University
- Politeknik Agraria STPN
- Diponegoro University
- 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 |
|---|---|---|
| Saiful Ridlo | State University of Semarang | 6 |
| Bambang Priyono | State University of Semarang | 5 |
| Andreas Priyono Budi Prasetyo | State University of Semarang | 4 |
| Nana Kariada Tri Martuti | State University of Semarang | 4 |
| Margareta Rahayuningsih | Affiliation unknown | 4 |
| Enni Suwarsi Rahayu | State University of Semarang | 4 |
| Talitha Widiatningrum | Affiliation unknown | 4 |
| Risa Dwita Hardianti | State University of Semarang | 3 |
| Amnan Haris | Affiliation unknown | 3 |
| Andin Irsadi | State University of Semarang | 3 |
| Nugroho Edi Kartijono | State University of Semarang | 3 |
| Lisdiana Lisdiana | Affiliation unknown | 3 |
| Siti Alimah | State University of Semarang | 3 |
| Sigit Saptono | State University of Semarang | 3 |
| Priyantini Widiyaningrum | Affiliation unknown | 3 |
| Sri Mulyani Endang Susilowati | Affiliation unknown | 3 |
| Amin Retnoningsih | Affiliation unknown | 3 |
| Retno Sri Iswari | State University of Semarang | 3 |
| Mukh Syaifudin | Affiliation unknown | 2 |
| Dyah Rini Indriyanti | Affiliation unknown | 2 |
| Nur Kusuma Dewi | Affiliation unknown | 2 |
| Partaya Partaya | Affiliation unknown | 2 |
| Aditya Marianti | Affiliation unknown | 2 |
| Endah Peniati | State University of Semarang | 2 |
| Krispinus Kedati Pukan | State University of Semarang | 2 |
| Jiraporn Teampanpong | Kasetsart University | 1 |
| R. Martanto | Politeknik Agraria STPN | 1 |
| Dyah Rini Indriyanti | State University of Semarang | 1 |
| Fenny Widiyanti | State University of Semarang | 1 |
| Andhina Putri Heriyanti | Diponegoro University | 1 |
| Aziz Al Anshori | Affiliation unknown | 1 |
| Ira Novianti | Affiliation unknown | 1 |
| Partaya | Affiliation unknown | 1 |
| Moch. Samsul Arifin | Affiliation unknown | 1 |
| Suci Iswanti | Affiliation unknown | 1 |
| Nana Martuti | Affiliation unknown | 1 |
| Putut Riharista | 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.