CD Skripsi

Pendekatan Sarima Dan Exponential Smoothing Holt-Winters Untuk Peramalan Jumlah Produksi Kelapa Sawit Di Perkebunan Besar Swasta Provinsi Riau

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Palm oil is a key plantation commodity for Indonesia’s economy. Climate change is one of the factors influencing palm oil production, and its impact on the industry is significant. The data used in this study is the palm oil production data from large private plantations in Riau province from January 2006 to December 2022. The methods used are SARIMA, multiplicative Exponential Smoothing Holt-Winters, and additive Exponential Smoothing Holt-Winters. This research aims to forecast using the best model among the three models employed. Based on the results obtained, the SARIMA model performs better than both the multiplicative and additive Exponential Smoothing Holt-Winters models in forecasting palm oil production, with SARIMA parameter estimates of (0,1,1)〖(1,1,1)〗_12 and a MAPE value of 9.41%.
Keywords: Palm oil production, SARIMA, Exponential Smoothing Holt-Winters

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003111102

Penerbit

Pekanbaru : Universitas Riau FMIPA Statistika., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003111102

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

Mutia

Versi lain/terkait

Lampiran Berkas

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