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This study developed and evaluated a solar dryer for local seaweeds. The drying behavior of seaweeds was examined and fitted with different drying models. The most suitable model is selected based on ...the quality of fit, which has the highest value of the coefficient of determination (R2) and the lowest value of root mean square error (RMSE) and mean bias error (MBE). The result shows that the Midili-Kucuk is the best-suited model for predicting and describing the drying behavior of local seaweeds with an R2, RMSE, and MBE values of 0.999, 0.01, and 0.0001, respectively. A comparative analysis was conducted between the sun-drying and the developed solar dryer regarding their drying rate and drying time. The independent sample t-Test was used to evaluate the significant difference. The analysis of the drying parameters showed that the developed solar dryer is significantly advantageous in terms of drying rate and drying time.続きを見る
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