Open access Jurnal
Tingkat pengetahuan petani dalam budidaya jahe di Kecamatan Moramo Kabupaten Konawe Selatan
Jurnal Sosio Agribisnis · Vol. 8 No. 1 (2023) · pp. 13–23
- ISSN
- 2502-3292
- Published
- 2023-04-25
- Publisher
- Universitas Halu Oleo
- Language
- eng
Abstract
The aim of the research is to analyze the level of knowledge of farmers in jehe cultivation in Moramo District, South Konawe Regency. The research was carried out in Moramo District, South Konawe Regency in August 2021–October 2022. The population in this study was all ginger farmers, totaling 153 people. Sample determination was carried out using the simple random sampling method. Determining the number of samples used the Slovin formula to obtain a sample size of 60 farmers. The technique for collecting data on farmers' knowledge levels is carried out using the interview method, while data collection on skills levels uses observations and checklists. Research variables include: the level of farmer knowledge in ginger cultivation referring to Bloom's taxonomy. The data analysis used is qualitative descriptive analysis, and the Product Moment correlation test. The results of the research show that the level of knowledge of farmers in ginger cultivation is at a low level at the seed selection, seed sowing, land preparation, fertilization and post-harvest stages; and a high level of knowledge at the location selection/determination stage, planting stage, maintenance, pest control stage and harvest stage. The relationship between the level of farmer knowledge in ginger cultivation and the productivity of the ginger produced is in the weak correlation category. Keywords: farmer's level of knowledge; ginger cultivation; Bloom's Taxonomy
Collaboration network of the authors
40 authors · 176 co-authorship links · 4 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.
- Universitas Halu Oleo
- Universitas Gadjah Mada
- 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 |
|---|---|---|
| Mardin Mardin | Affiliation unknown | 7 |
| Usman Rianse | Affiliation unknown | 5 |
| Salahuddin Salahuddin | Universitas Gadjah Mada | 4 |
| Yoenita Jayadisastra | Universitas Halu Oleo | 4 |
| Putu Arimbawa | Affiliation unknown | 4 |
| Sitti Nur Isnian | Affiliation unknown | 4 |
| Nur Isiyana Wianti | Affiliation unknown | 3 |
| Ima Astuty Wunawarsih | Affiliation unknown | 3 |
| Suriana Suriana | Affiliation unknown | 2 |
| Ine Fausayana | Universitas Halu Oleo | 2 |
| Mutmainnah Mutmainnah | Affiliation unknown | 2 |
| Weka Widayati | Affiliation unknown | 2 |
| La Ode Kasno Arif | Affiliation unknown | 2 |
| Awaluddin Hamzah | Universitas Halu Oleo | 2 |
| Rosmawaty Rosmawaty | Affiliation unknown | 2 |
| Ilma Sarimustaqiyma Rianse | Affiliation unknown | 1 |
| La Ode Syukur | Universitas Halu Oleo | 1 |
| Weka Gusmiarty Abdullah | Universitas Halu Oleo | 1 |
| Zulfikar La Zulfikar | Affiliation unknown | 1 |
| WA KUASA | Affiliation unknown | 1 |
| Muhammad Aswar Limi | Universitas Halu Oleo | 1 |
| Munirwan Zani | Universitas Halu Oleo | 1 |
| Hartina Batoa | Universitas Halu Oleo | 1 |
| Putu Arimbawa | Affiliation unknown | 1 |
| La Sara | Universitas Halu Oleo | 1 |
| Muis Muis | Affiliation unknown | 1 |
| Gion Junaidi | Affiliation unknown | 1 |
| Muhamad Rafil | Affiliation unknown | 1 |
| ABD Muas | Affiliation unknown | 1 |
| Andi Samsudin Haerun | Affiliation unknown | 1 |
| Wulan Ali Rahmin | Affiliation unknown | 1 |
| Yani Taufik | Affiliation unknown | 1 |
| Muhammad Al-hady Nasrun | Affiliation unknown | 1 |
| Sukmawati Abdullah | Affiliation unknown | 1 |
| Srofela Srofela | Affiliation unknown | 1 |
| La Ode Aprianton Sarman | Affiliation unknown | 1 |
| Rosida Safarudin | 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.