Modeling milkfish farming in the land around the nickel-processing plant in North Konawe District, Southeast Sulawesi, Indonesia

• Published in: Modeling earth systems and environment Vol. 9; no. 2; pp. 2425 - 2435
• Main Authors: Limi, Muhammad Aswar, Dewi, Hesty Sukma
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.06.2023; Springer Nature B.V
• Subjects: Aquaculture; Chanos chanos; Chemistry and Earth Sciences; Computer Science; Cost analysis; Earth and Environmental Science; Earth Sciences; Earth System Sciences; Ecosystems; Environment; Fertilizers; Fish; Fish culture; Fish farms; Labor; Labour; Land area; Marine fishes; Math. Appl. in Environmental Science; Mathematical Applications in the Physical Sciences; Modelling; Nickel; Operating costs; Original Article; Phosphates; Physics; Polyculture (aquaculture); Production costs; Random sampling; Seeds; Statistical sampling; Statistics for Engineering; Urea; Sulawesi; Indonesia; The land around the nickel-processing plant; Milkfish farming; Modeling; North Konawe
• ISSN: 2363-6203; 2363-6211
• DOI: 10.1007/s40808-022-01634-w

This research was conducted on milkfish farmers who carry out aquaculture around a rapidly growing nickel-processing factory in North Konawe Regency, intending to determine the milkfish farming model in the North Konawe District, Southeast Sulawesi, Indonesia. The study was conducted in North Konawe District. The sample was determined by a simple random sampling of 56 fish farming businesses. This study modeling milkfish farming in the land around the nickel-processing plant in North Konawe District, Southeast Sulawesi, Indonesia consisted of several variables: land area, seeds, fertilizer, feed, labor, selling prices, production costs, production, and milkfish cultivation business income. Data collected were analyzed using production and income analysis, followed by a path analysis model using AMOS SPSS. Based on the path analysis model, it is known that the urea fertilizer, feed, and labor used in milkfish farming have a non-significant direct effect on milkfish production, while the areas of land, seeds, and phosphate fertilizer have a significant effect directly on the production. Furthermore, the variables of land area, seed and fertilizer have a significant indirect effect through the production variable on milkfish farming income, and the price of milkfish, production, and production costs have a significant direct effect on the revenue of milkfish farming.