MODEL FORECASTING HARGA KOMODITAS UDANG DI PT. X DENGAN MENGGUNAKAN PEMBELAJARAN MESIN (MACHINE LEARNING)
This study aims to build a prediction model of shrimp prices one hundred days ahead for PT. X, which faces challenges in setting accurate forward contract prices for vaname shrimp commodities due to high market volatility. The predictor variables used are derived from historical transactions of v...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/80834 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |