Comparative Analysis of Full-time and Part-time Fishermen’s Exchange Rates: A Case Study of Sungai Batang Ilir Village, Indonesia

Öz

This study aimed to assess the economic conditions of fishermen residing in Sungai Batang Ilir village, Indonesia, by analyzing their income levels and financial capacities. The research employed a field survey and descriptive methodology. A total of 40 respondents were selected based on specific criteria: 20 full-time and 20 part-time fishermen. Structured interviews were conducted to gather data on their revenues and expenditures related to both fishing and non-fishing activities. The findings revealed significant differences between full-time and part-time fishermen in terms of their exchange rates. Full-time fishermen had an exchange rate of 120.28 compared to 95.27 for part-time fishermen, resulting in exchange rate indexes of 1.20 and 0.95, respectively. These indexes indicate that the financial capacity of full-time fishermen to meet household and operational expenses was relatively higher than that of part-time fishermen. Variations in income were primarily attributed to differences in the number of working days among fishermen. Despite these differences, the average monthly incomes of both groups remain below the Regional Minimum Wage of Banjar District (approximately 193 USD). The study also discusses measures to enhance fishermen's incomes, aiming to improve their financial well-being and sustainability.

Anahtar Kelimeler

• Household condition
• financial capacity
• fisheries
• non-fisheries
• monthly income

Kaynakça

1. Ahmadi. 2021. Morphometric characteristic and condition factor of Snakeskin gourami (Trichogaster pectoralis) from Sungai Batang Swamp, Indonesia. Iran J Ichthyol. 8(1):19-29. doi: 10.22034/iji.v8i1.301
2. Ahmadi. 2023. Local Knowledge and Innovation: An Ethnographic study of fishing technology in Banjar Regency's Freshwater Environment. River Stud. 1(1):11-16.
3. Ahmadi, Ansyari P. 2022. Food habits, growth pattern and condition factor of snakehead (Channa striata) from Danau Bangkau, Indonesia. Aquac Aquar Conserv Legis. 15(6):3181-3196.
4. Aminah S, Ahmadi. 2018. Experimental fishing with LED light traps for three-spot gourami (Trichogaster trichopterus) in Martapura, Indonesia. Int J Fish Aquat Stud. 6(1):37-42.
5. Balasubramaniam S. Bihari B, Mohan B. 2001. Socio-economic status of marine fishermen in two fishing villages of Orissa. Fish Tech. 38(1):51-55.
6. Basuki R, Prayogo UH, Pranaji T, Ilham N, Sugianto, Hendiarto, Bambang W, Daeng H, Iwan S. 2001. Fishermen exchange rate technical guidelines. Directorate General of Coastal and Small Islands, Ministry of Marine Affairs and Fisheries, Jakarta. 101 p.
7. Freduah G, Fidelman P, Smith TF. 2017. The impacts of environmental and socio-economic stressors on small scale fisheries and livelihoods of fishers in Ghana. Appl Geog. 89:1-11. doi: 10.1016/j.apgeog.2017.09.009
8. George FAO, Ogbolu AO, Olaoye OJ, Obasa SO, Idowu AA, Odulate DO. 2014. Fish processing technologies in Nigeria: A case study of Ibeju-Lekki local government area, Lagos State. Am J Food Tech. 9:302-310. doi: 10.3923/ajft.2014.302.310

9. Irhamsyah, Ahmadi, Rusmilyansari. 2017. Fish and fishing gears of the Bangkau Swamp, Indonesia. J Fish. 5(2):489-496.doi: 10.17017/j.fish.40
10. Kadhita M, Ismail, Wijayanto D. 2014. Analysis prosperity level of employer and crew’s mini-purse seine fisheries with fishing base in Tasik Agung Fishing Port of Rembang Regency Central Java. J Fish Res Utiliz Man Tech. 3(3):80-87.
11. Lestari S, Mudzakir AK, Boesono H. 2014. Analysis welfare level fisher of traps catching swimming crab in Betahwalang Village, Bonang Subdistrict, Demak Regency. J Fish Res Utiliz Man Tech. 3(3):329-338. doi: 10.18551/rjoas.2023-05.17
12. Mozahid MN, Ahmed, JU, Mannaf M, Akter S. 2018. Role of small-scale fishing on the livelihood improvement of haor fishermen: An empirical evidence from Bangladesh. Am J Econ Buss Adm. 10(1):1-10. doi: 10.3844/ajebasp.2018.1.10
13. Mumu NF, Andaki JA, Longdong FV. 2019. Analysis of fishermen’s excange rates of Jubi fishery in Bulutui village, West Likupang sub-District, North Minahasa Regency. Akulturasi. 7(2):1323-1332.
14. Njagi KA, Njati IC, Guyo HS. 2013. Factors affecting profitability of fish farming under economic stimulus programme in Tigania East District, Meru County, Kenya. IOSR J Bus Man. 15(3):25-36.
15. Paul PC, Reza MS, Islam MN, Kamal M. 2018. A review on dried fish processing andmarketing in the coastal region of Bangladesh. Res Agric Livest Fish. 5(3):381-390. doi: 10.3329/ralf.v5i3.39587
16. Rahman A, Erwiantono, Saleha Q. 2021. Analysis of fishermen exchange rate of Purse seine fishery in Talisayan village, Talisayan sub-District, Berau Regency. JPPA. 8(1):41-48.
17. Ramadhan A, Firdaus M, Wijaya RA. 2014. Term of trade analysis of traditional fishers of big pelagic. J Sosek KP. 9(1):1-11. doi: 10.15578/jsekp.v9i1.30
18. Ravishankar CN, Elavarasan K. 2023. Innovations in fish processing technology. In: Bansal, KC, Lakra WS, Pathak H. (eds) Transformation of Agri-Food Systems. Springer, Singapore. doi: 10.1007/978-981-99-8014-7_16
19. Rupaidah R. 2013. Fisherman exchange rate in Bangkau Village, Kandangan Sub-district, South Hulu Sungai Regency. Thesis. 56 p.
20. Seputro SH, Mahyudin I, Ahmadi. 2021. Rationalization of fisheries business affected by the Covid-19 Pandemic: Case study:
21. Sungai Batang Village, Province of South Kalimantan, Indonesia. Int J Innov Stud Aquat Biol Fish. 7(2):1-11. doi: 10.20431/2454-7670.0702001
22. Siddhnath RA, Mohanty BP, Saklani P, Dora KC, Chowdhury S. 2022. Dry fish and its contribution towards food and nutritional security. Food Rev Intl 38(4):508-536. doi:10.1080/87559129.2020.1737708
23. Sitorus RD, Andaki J.A, Sondakh SJ. 2020. Analysis of fishermen’s excange rates of purse seine fishery business in Maen village, East Likupang sub-District, North Minahasa Regency. Akulturasi. 8(2):251-263. doi: 10.22161/ijfaf.6.5.1
24. Tikadar KK, Islam MJ, Saha SM, Alam MM, Barman SK, Rahman MA. 2022. Livelihood status of small-scale fishermen and determinants of their income: Insights from north-eastern floodplains of Bangladesh. Geog Sustain. 3(3): 204-213.doi: 10.1016/j.geosus.2022.06.002
25. Twumasi MA, Jiang Y, Addai B, Ding Z, Chandio AA, Fosu P, Asante D, Siaw A, Danquah FO, Korankye BA, Ntim-Amo G, Ansah S, Agbenyo W. 2021.The impact of cooperative membership on fish farm households’ income: The case of Ghana. Sustainability. 13(3):1059. doi: 10.3390/su13031059
26. Yampu R, Mardjudo A. 2015. Analysis of Fisherman exchange rate of line fishing Nilai in Boneoge village, Benawa subdistrict, Donggala District of Central Sulawesi. J KIAT Univ Alkhairaat. 7(1):46-56.
27. Yunianto WC, Sumertajaya IM. 2015. Simultaneous equations modelling using 2SLS and 3SLS methods for fishermen term of trade of Indonesia. Proceed Int Conf Res Implement Educ Math Scie 2015. Yogyakarta State University, 17-19 May 2015. p.116-124.
28. Zulham A, Saptanto S, Yulisti M, Lindawati. 2011. Dynamics of term of trade: the policy intervention for increasing welfare of fishers and fish farmers. J Sosek KP. 6(1):39-50. doi: 10.15578/jsekp.v6i1.5752.