CD Skripsi

Analisis Demand Forecasting Palm Kernel Oil (Pko) Pada Pt. Perkebunan Nusantara V (Perseroan).

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There are many types of forecasting methods are developed and used to improve the accuracy of forecasting results, as measured from the MSE (Mean Square Error) and MAPE (Mean Absolute Percent Error). In this paper applied several methods to forecast the amount of demand of PTPN V PKO in 2015 and 2016. Each forecasting results obtained by the method used, then compared the results of each method based on the MSE and the average - average error (MAPE) of each method. It can be concluded that the method of Least Square / Linear Regression Analysis has the smallest error value compared to other methods. From the results of forecasting by using Least Square / Linear Regression Analysis showed forecasting total demand of PKO at PTPN V is as much 54579.26 tons for 2015 and 59154.61 tons for 2016.
Keywords: forecasting, MSE (Mean Square Error), MAPE (Mean Absolute Percent Error), Least Square / Linear Regression Analysis.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

02 02. 115 (0367)

Penerbit

Pekanbaru : Universitas Riau - Fakultas Ekonomi - Manajemen., 2015

Deskripsi Fisik

viii, 62 hlm.: ill.; 29 cm

Bahasa

ISBN/ISSN

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Klasifikasi

02 02. 115 (0367)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

MANAJEMEN

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

Lampiran Berkas

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