KOMBINASI METODE FORECASTING DAN PROGRAM LINEAR UNTUK PENGAMBILAN KEPUTUSAN

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dc.contributor.authorNufus, Hayatun
dc.date.accessioned2021-07-28T03:13:13Z
dc.date.available2021-07-28T03:13:13Z
dc.date.issued2020-08
dc.description.abstractThis paper discusses the combination of forecasting methods and linear programming to make a decision. Both of the methods are used to predict the sales of bakery products and to determine the best and most efficient product combinations. The forecasting methods used are moving average and exponential smoothing. Then a comparison is carried out for both forecasting methods to select the best forecasting method using minimum mean square error. Next the best forecasting results are used as constraint functions in linear programming.en_US
dc.description.sponsorshipJurusan Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Riauen_US
dc.identifier.otherwahyu sari yeni
dc.identifier.urihttps://repository.unri.ac.id/handle/123456789/10043
dc.language.isoenen_US
dc.subjectForecasting methodsen_US
dc.subjectmoving average methoden_US
dc.subjectexponential smoothing methoden_US
dc.subjectmean square erroren_US
dc.subjectlinear programmingen_US
dc.titleKOMBINASI METODE FORECASTING DAN PROGRAM LINEAR UNTUK PENGAMBILAN KEPUTUSANen_US
dc.typeArticleen_US

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