Skripsi

OPTIMALISASI PERSEDIAAN BERAS MENGGUNAKAN TEKNIK INTERPOLASI POLINOMIAL NEWTON DENGAN MODEL PROBABILISTIK P

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Penilaian

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The interpolation method is used to obtain approximate values for future demand levels based on available historical data. The use of the interpolation method aims to anticipate demand fluctuations in order to minimize risks and costs. The aim of this research is to obtain optimal rice demand data approach values at Perum BULOG Divre South Sumatra and Babel using the Newton Polynomial Interpolation method and the Probabilistic P model. Based on the results of demand data calculations using the Newton Polynomial Interpolation method in the third order by obtaining forecasting accuracy results using MAPE (Mean Absolute Percentage Error) is 5.71%. The criteria for forecasting accuracy results obtained using MAPE are very good. The probabilistic model P (Periodic Review System) obtains an optimal rice supply of 1,476,932 kg/month with a total inventory cost of IDR 19,443,952,546 for each month starting from January to December 2021.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407001329	T140324	T1403242024	Central Library (References)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1403242024

Publisher

Indralaya : Prodi Ilmu Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam., 2024

Collation

xii, 48 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

510.07

Content Type

Text

Media Type

unmediated

Carrier Type

-

Edition

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Subject(s)

Prodi Ilmu Matematika
Probabilistik P

Specific Detail Info

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Statement of Responsibility

KA

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