Prediksi Penjualan Ikan Di Pasar Ikan Lamongan Menggunakan Metode Regresi Linier (Studi kasus: Gudang Ikan Eka Jaya)
DOI:
https://doi.org/10.36350/jbs.v16i1.331Keywords:
Prediksi Penjualan, Regresi Linier, Pasar Ikan Lamongan, Gudang Ikan Eka JayaAbstract
Lamongan Fish Market was an important trading center for farmed fish in East Java, particularly freshwater and saltwater fish. To improve operational efficiency and stock planning, this study estimates fish sales volume at the Eka Jaya Fish Warehouse using linear regression. The data analyzed include daily sales volume and sales weight. Linear regression was chosen because it can identify the relationship between the independent variables (fish weight, days) and the dependent variable (sales volume). The results show a significant influence between both variables, with a high R² value, indicating the model's ability to explain data variability. Accuracy testing using the Mean Absolute Percentage Error (MAPE) reached over 85%, thus the model was considered highly accurate. This approach has the potential to aid decision-making, stock planning, and marketing strategies, and serve as a reference for similar research in the fisheries sector.
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