dc.contributor.advisor | Sinulingga, Sukaria | |
dc.contributor.advisor | Ginting, Rosnani | |
dc.contributor.author | Dalimunthe, Sri Baginda | |
dc.date.accessioned | 2023-02-01T03:38:55Z | |
dc.date.available | 2023-02-01T03:38:55Z | |
dc.date.issued | 2022 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/81222 | |
dc.description.abstract | Demand forecasting is essential in making production decisions. The development of Artificial Intelligence technology can produce more accurate forecasts compared to conventional methods that do not use Artificial Intelligence. Machine Learning is one part of Artificial Intelligence used in Demand Forecasting. PT XYZ is a food industry that has problems forecasting demand accuracy. This study discusses the application of Machine Learning in forecasting PT XYZ's demand. The machine learning models used in this research are Decision Tree, Artificial Neural Network, and Support Vector Machine. The variables used for forecasting in this study are calendar holidays and moving average 10. The results show that the application of Machine Learning in demand forecasting can improve the accuracy of demand forecasting. | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | Demand Forecasting | en_US |
dc.subject | Machine Learning | en_US |
dc.title | Perancangan Model Forecasting Permintaan Menggunakan Machine Learning pada PT XYZ | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM207025007 | |
dc.identifier.nidn | NIDN8800140017 | |
dc.identifier.nidn | NIDN0021026303 | |
dc.identifier.kodeprodi | KODEPRODI26101#Teknik Industri | |
dc.description.pages | 78 Halaman | en_US |
dc.description.type | Tesis Magister | en_US |