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dc.contributor.advisorSinulingga, Sukaria
dc.contributor.advisorGinting, Rosnani
dc.contributor.authorDalimunthe, Sri Baginda
dc.date.accessioned2023-02-01T03:38:55Z
dc.date.available2023-02-01T03:38:55Z
dc.date.issued2022
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/81222
dc.description.abstractDemand 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.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectDemand Forecastingen_US
dc.subjectMachine Learningen_US
dc.titlePerancangan Model Forecasting Permintaan Menggunakan Machine Learning pada PT XYZen_US
dc.typeThesisen_US
dc.identifier.nimNIM207025007
dc.identifier.nidnNIDN8800140017
dc.identifier.nidnNIDN0021026303
dc.identifier.kodeprodiKODEPRODI26101#Teknik Industri
dc.description.pages78 Halamanen_US
dc.description.typeTesis Magisteren_US


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