<![CDATA[This study aims to analyze the factors influencing the price of skipjack tuna (Katsuwonus pelamis) and to identify the most dominant factor. The study was conducted at the Sodohoa Fishery Port in Kendari City with a population of 196 fishermen and a sample of 66 respondents, determined using the Slovin formula with a 10% margin of error. Data analysis employed multiple linear regression using a log-linear model via natural logarithmic (Ln) transformation. The results indicate that production volume (X₁), operating costs (X₂), and weather conditions (X₃) have a significant effect on skipjack tuna prices (Y). The production volume coefficient of -0.579 indicates that a 1% increase in production volume will decrease the price by 0.579%, while the operational cost coefficient of 0.023 indicates that a 1% increase in operational costs will increase the price of skipjack tuna (Y) by 0.023%. The weather coefficient of -0.1210.679 indicates that good weather tends to lower prices compared to bad weather. The R² value of 0.650 indicates that 65% of the variation in price is explained by the three variables, while 35% is influenced by other variables outside the model. Operating costs are the most dominant factor influencing skipjack tuna prices]]>
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