Optimizing Goods Placement in Logistics Transportation using Machine Learning Algorithms based on Delivery Data
This study addresses the challenge of predicting the optimal placement of goods for expeditionary transportation. Efficient placement is crucial to ensure that goods are transported in a manner that maximizes space and minimizes the risk of damage. This study aims to develop a prediction system usin...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
P3M Politeknik Negeri Banjarmasin
2024-12-01
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| Series: | Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer |
| Subjects: | |
| Online Access: | https://eltikom.poliban.ac.id/index.php/eltikom/article/view/1321 |
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