CD Skripsi

Penggunaan Metode Pemulusan Eksponensial Untuk Peramalan Nilai Ekspor Non Migas Di Indonesia

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The exponential smoothing forecasting method is one of the time series data
forecasting methods. This study uses non-oil and gas export data in Indonesia for
the period January 2015-May 2021 indicating that there are elements of trends and
seasonality. Based on the characteristics of the time series, the data obtained were
then analyzed using Holt's double exponential smoothing method and triple
exponential smoothing consisting of multiplicative and Holt-Winters additives. The
best model selection can be done by choosing the minimum forecast error value.
This study shows that the additive Holt-Winters method is the best forecasting
method that has a minimum forecast error value. The forecast results using this
method indicate that the value of non-oil exports will increase for the next period.
Keywords: Forecast, non-oil and gas export, time series, exponential smoothing,
Holt method, Holt-Winters method

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 06. 121 (0037)

Penerbit

Pekanbaru : Universitas Riau – FMIPA – STATISTIKA Universitas Riau – FMIPA – STATISTIKA., 2021

Deskripsi Fisik

x, 35 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 06. 121 (0037)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

STATISTIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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