Analysis Of Bread Demand Forecasting Using Recurrent Neural Network (RNN) Method Based On Operational Delivery Data
Accurate demand forecasting plays a vital role in optimizing inventory and distribution planning, especially for perishable goods such as bread. This study develops a time series forecasting model using a Recurrent Neural Network (RNN) with a Sequential architecture to predict daily bread demand. Un...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Indonesian |
| Published: |
Universitas Dian Nuswantoro
2025-08-01
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| Series: | Techno.Com |
| Online Access: | https://publikasi.dinus.ac.id/index.php/technoc/article/view/13507 |
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