CD Skripsi

Prediksi stock bahan kimia dalam pengolahan sawit di pt. Sawit langgak inti lestari dengan seasonal decomposition dan model sarima

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PT. Langgak Inti Lestari is one of the companies that uses chemicals in the palm oil processing. Fluctuating and unmeasured usage can lead to increased production costs. This study develops a chemical stock prediction model using the Seasonal Decomposition method and the Seasonal Auto Agressive Integrated Moving Average (SARIMA) model A total of 472 raw data records were obtained from PT. Langgak Inti Lestari to support this research.. In this study, the model can predict stock with a MAE value of 27,06 and RMSE of 31,74. The model also produced predictions for the next 9 months.Although this model shows good accuracy for short-term predictions with stable data, it is less effective in capturing large fluctuations in the test data.

Keywords: Chemical Residual Prediction, Seasonal Decomposition, SARIMA Model

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003110378

Penerbit

Pekanbaru : Universitas Riau FMIPA Sistem Informasi., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003110378

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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