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dc.contributor.advisorPane, Rahmawati
dc.contributor.authorSiagian, Daniel Ricardo
dc.date.accessioned2023-05-09T02:14:48Z
dc.date.available2023-05-09T02:14:48Z
dc.date.issued2023
dc.identifier.urihttps://repositori.usu.ac.id/handle/123456789/84552
dc.description.abstractFor the business world, especially PT. Sumber Sawit Makmur, to be successful in the current era of globalization, inventory is a very important component. The company may be better equipped to meet customer demand if it has a good inventory. The aim of this study is to identify the supply of crude palm oil (CPO) that will result in the lowest inventory costs. Based on time series data from January 2017 to August 2022, the first step in this research is to calculate the demand forecast value for the period September 2022 to December 2022. The ARIMA forecasting approach is used due to the ambiguous demand pattern. For the next four months (September, October, November, and December), ARIMA's demand forecast figures are 1,807,754 kg, 1,816,878 kg, 1,815,321 kg, and 1,815,587 kg. The Markov chain approach is used to estimate the ideal inventory based on forecasting results. The company's ideal starting inventory is 651,396 kg, for a total order of 1,184,264 kg. According to the initial inventory, the resulting inventory cost is Rp. 139,706,385. Based on these results, the company experienced a reduction in inventory costs of 15.33%.en_US
dc.language.isoiden_US
dc.publisherUniversitas Sumatera Utaraen_US
dc.subjectARIMAen_US
dc.subjectForecastingen_US
dc.subjectInventoryen_US
dc.subjectMarcov Chainen_US
dc.subjectProbabilistic Demanden_US
dc.titlePenerapan Metode Arima-Marcov Chain dalam Memprakirakan Permintaan dan Mengoptimalkan Persediaan Crude Palm Oil (Cpo) pada PT. Sumber Sawit Makmuren_US
dc.typeThesisen_US
dc.identifier.nimNIM180803041
dc.identifier.nidnNIDN0019025604
dc.identifier.kodeprodiKODEPRODI44201#Matematika
dc.description.pages96 Halamanen_US
dc.description.typeSkripsi Sarjanaen_US


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