Jurnal
Status Pengelolaan Perikanan Cakalang di Kabupaten Wakatobi Berdasarkan Indikator Domain Teknik Penangkapan Ikan Pengelolaan Perikanan Berpendekatan Ekosistem
PekaBuana : Jurnal Ilmiah Teknologi dan Manajemen Perikanan Tangkap · Vol. 2 No. 01 (2022) · pp. 29–39
- ISSN
- 2723-6714
- Published
- 2022-01-16
- Publisher
- Universitas Halu Oleo
- Language
- eng
Abstract
Wakatobi Waters are part of the Fishery Management Area (WPP) 714 which has potential resources for large pelagic fish including skipjack tuna (Katsuwonus pelamis). The purpose of this study was to determine the management status of the skipjack tuna fishery in Wakatobi District based on the fishing technique domain indicators set by the EAFM National Working Group. The research was carried out from October to December 2021 using a survey method, through interviews with questionnaires to stakeholders and literature studies. Data analysis uses the scoring method and the flag model. The results showed that indicators of destructive and/or illegal fishing methods indicated that 10 violations per years occurred but were not related to skipjack fisheries. The indicator of modification of fishing gear and fishing aids shows more than 50% of the size of the target fish produced Lm. Fisheries capacity and fishing effort indicators show an average fishing capacity ratio in 2019 and 2021 of 1.47. The fishing selectivity indicator shows that 100% of the fishing gear used is classified as selective fishing gear. Indicators of suitability of the function and size of fishing vessels with legal documents show that all Tho line fishing vessels do not have legal documents. The results of the composite analysis of all indicators of the fishing technique domain yield a value of 220 which is classified as in good condition.
Collaboration network of the authors
40 authors · 123 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.
- Jordan University of Science and Technology
- Universitas Halu Oleo
- Universitas Bina Sarana Informatika
- 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 |
|---|---|---|
| Abdullah Abdullah | Affiliation unknown | 32 |
| Hasnia Arami | Affiliation unknown | 32 |
| Farid Rezal | Affiliation unknown | 4 |
| Nur Isiyana Wianti | Affiliation unknown | 3 |
| Suriana Suriana | Affiliation unknown | 3 |
| Abdul Hamid | Universitas Bina Sarana Informatika | 3 |
| Farid Yasidi | Affiliation unknown | 3 |
| Kadek Lindawati | Affiliation unknown | 3 |
| Dita Safitri | Affiliation unknown | 3 |
| Abdullah | Affiliation unknown | 3 |
| Fajeria - | Affiliation unknown | 3 |
| Ilma Lana | Affiliation unknown | 3 |
| Nur Insyania | Affiliation unknown | 3 |
| La Anadi | Affiliation unknown | 3 |
| Sukmawati Abdullah | Affiliation unknown | 2 |
| Tjandra Buana | Affiliation unknown | 2 |
| Romy Ketjulan | Affiliation unknown | 2 |
| La Ode Abdul Muis | Affiliation unknown | 2 |
| Sarini Yusuf Abadi | Affiliation unknown | 2 |
| Ander Ibrahim | Affiliation unknown | 2 |
| Yusril Yusril | Affiliation unknown | 2 |
| Fina Miranti | Affiliation unknown | 2 |
| Maliyati Maliyati | Affiliation unknown | 2 |
| Andi Irwan Nur | Affiliation unknown | 2 |
| Muh. Ramli | Affiliation unknown | 2 |
| Dedy Oetama | Universitas Halu Oleo | 2 |
| . Asriyana | Affiliation unknown | 2 |
| Abd Al-Rahman Odeh | Affiliation unknown | 1 |
| Hammam Mheidat | Jordan University of Science and Technology | 1 |
| Adam Shatnawi | Jordan University of Science and Technology | 1 |
| Muhamad Ikra | Affiliation unknown | 1 |
| Resnawati Resnawati | Affiliation unknown | 1 |
| Rosmawati Rosmawati | Universitas Halu Oleo | 1 |
| Agusno Agusno | Affiliation unknown | 1 |
| Aldi Juardin | 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.