Journal
Feasibility Analysis of Handline Fishing Equipment Case Study on Barrang Caddi Island, Sangkarrang District, Makassar City
PONGGAWA : Journal of Fisheries Socio-Economic · Vol. UME No. MOR (2021) · pp. 51–59
- ISSN
- 2775-7196
- Published
- 2021-05-05
- Publisher
- Program Studi Sosial Ekonomi Perikanan, Fakultas Ilmu Kelautan dan Perikanan, Universitas Hasanuddin
- Language
- en
Abstract
The fisheries sector is a sector that has a contribution to economic development in Indonesia, this can be seen from the increase in fishery production which continues to increase from year to year. One area that has a high level of enthusiasm in fishery economic activity is Barrang Ca'di Island with the traditional system of hand line fishing on Barrang Caddi Island resulting in the inability to access fishing locations due to one of the cruising capabilities of the fleet and production costs that must be incurred by hand line fishermen, the fisherman also still maintains the pattern of economic system patterns in fishing activities as a reference material in living their daily lives, based on this the purpose of this study is to determine the level of income for production activities and the level of business feasibility of hand line fishermen for fishing. developed on Barrang Ca'di Island. The results of the study obtained the amount of income from the fishing line business, which was Rp. 88,358,140, - and showed that the line fishing business carried out by fishermen on Barrang Caddi Island was feasible to be developed with the division between revenue and costs having a value of more than one (>1 ).
Keywords
Collaboration network of the authors
40 authors · 186 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.
- Hasanuddin University
- Universitas Pendidikan Muhammadiyah Sorong
- 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 |
|---|---|---|
| Benny Audy Jaya Gosari | Hasanuddin University | 11 |
| Hamzah Tahang | Hasanuddin University | 8 |
| Aris Baso | Hasanuddin University | 7 |
| Amiluddin Amiluddin | Hasanuddin University | 6 |
| Arie Syahruni Cangara | Hasanuddin University | 6 |
| Mardiana Ethrawaty Fachry | Hasanuddin University | 6 |
| Sutinah Made | Hasanuddin University | 6 |
| Sri Suro Adhawati | Hasanuddin University | 6 |
| Andi Adri Arief | Hasanuddin University | 4 |
| Abdul Rahman Wahid | Hasanuddin University | 3 |
| Kasri Kasri | Hasanuddin University | 3 |
| Abd. Wahid | Hasanuddin University | 3 |
| Amiluddin | Hasanuddin University | 3 |
| Andi Amri | Hasanuddin University | 2 |
| Firman | Universitas Pendidikan Muhammadiyah Sorong | 2 |
| Ardillawati Tajufri | Hasanuddin University | 2 |
| Risna Risna | Hasanuddin University | 2 |
| Nurshobri Washolaat Rambe | Hasanuddin University | 2 |
| Medinah Mahmud | Hasanuddin University | 2 |
| Asriadi Asriadi | Hasanuddin University | 2 |
| Firman Firman | Hasanuddin University | 2 |
| Annisa Bahar | Hasanuddin University | 2 |
| Yaumil Atia A. A. Omar | Affiliation unknown | 1 |
| Asrul Rahadi Ramlan | Hasanuddin University | 1 |
| Andi Adrian Dwi Nugraha Rian | Hasanuddin University | 1 |
| Agussalim Al Fath Agussalim | Affiliation unknown | 1 |
| Yerwin Toga Sambolangi | Hasanuddin University | 1 |
| Yasmin Yasmin | Hasanuddin University | 1 |
| Muhammad Dalvi Mustafa | Hasanuddin University | 1 |
| Risma Udin | Hasanuddin University | 1 |
| Abdul Rasul | Hasanuddin University | 1 |
| Dian Islamia Muhtar | Hasanuddin University | 1 |
| Febri Yanti Panjaitan | Hasanuddin University | 1 |
| Endah Murpi Ningrum | Hasanuddin University | 1 |
| Abdul Wahid | Hasanuddin University | 1 |
| M. Irham Ilyas | Hasanuddin University | 1 |
| Shofi Dzakwani | 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.