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Stok dan Permintaan: Prediksi & Analisis by Diomen Syahputra is a document available to read on EtoBox.
What is Stok dan Permintaan: Prediksi & Analisis about?
The document outlines a data analysis process using machine learning to predict inventory stock and demand. It employs Support Vector Regression (SVR) for stock predictions and Random Forest for demand forecasting, integrating the results to assess stock levels against warehouse capacity. The analysis includes visualizations and decision simulations based on the predictions, providing insights into inventory management.
- Author
- Diomen Syahputra
- Language
- EN