PROPOSED SUSTAINABILITY SCORING AND DETERMINE ITS RELATIONSHIP WITH FINANCIAL PERFORMANCE AND FARMERS' CHARACTERISTICS (CASE STUDY: EFISHERY)
Fishery products are essential in food security, nutrition fulfillment, poverty alleviation, and general welfare. As one of the prominent maritime countries in the world, Indonesia has the potential to enhance and develops its fisheries sector, especially aquaculture. Sustainability in aquacultur...
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Format: | Theses |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/71335 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Fishery products are essential in food security, nutrition fulfillment, poverty alleviation, and
general welfare. As one of the prominent maritime countries in the world, Indonesia has the
potential to enhance and develops its fisheries sector, especially aquaculture. Sustainability in
aquaculture cultivation needs to be emphasized to enhance aquaculture production. Therefore,
eFishery seeks this opportunity to develop innovations in the aquaculture field. However, along
with business development, it is challenging to measure sustainability in aquaculture due to a
significant problem in obtaining the data and setting the indicators.
Through this study, the author develops several indicators using three dimensions of sustainability,
environmental, social, and economic, to create a new sustainability scoring model. The author uses
indicators such as water quality, FCR, the SR, farmers' awareness about fish health, farmers'
aquaculture experience, ownership of the farming area, the regulation of all aspects of aquaculture
management regarding technology, stock density per pond, pond productivity, farmers' fair
income, and market access. Also, the author determined the effect of the financial performance of
cultivation and farmers' characteristics on sustainability scoring. Financial Performance is defined
by profit rate, and farmers’ characteristics are defined by farmers' age, experience, total pond, and
other income sources. The author uses a systematic review of previous research on aquaculture to
develop indicators and perform hypothesis testing with multiple regression analyses using SPSS
26 software.
The author's objective is to establish an indicator system to assess and monitor aquaculture to be
sustainable. The sustainability scoring results indicate that 85.7% of the farmers in this project
have practiced good sustainability. The lowest score value is 36.36%, and the highest score is
90.91%, where the average score is 63.64%. As a result of multiple regression analysis, the profit
level positively and significantly affects the sustainability score. In contrast, the farmers' age,
experience, total pond, and other income sources have insignificant effects on the sustainability
scores.
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