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September 5, 2025Jurnal Sains Komputer dan Teknologi InformasiOpen Access

Application of Time Series for Palm Oil Production Prediction at PT. Dwie Warna Karya

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Authors

EPElsa Monica PutriVHVeny Cahya HarditaCECatharina Elmayantie

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Overview

Quantitative analysis predicts palm oil production using the SARIMA model, enhancing decision-making.

Key Points

  • The SARIMA model effectively forecasts palm oil production, addressing fluctuation impacts on efficiency.
  • Production trends indicate reliance on historical data, first-order differencing, and seasonal adjustments.
  • This quantitative approach includes descriptive analyses of data gathered from various sources.
  • Forecasting accuracy is improved, which aids in strategic decision-making and inventory management.

Cite This Study

Putri et al. (2025) studied this question.

synapsesocial.com/papers/68bb3d4e2b87ece8dc955d83https://doi.org/10.33084/jsakti.v7i2.9446
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Also Consider

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  1. 1Analysis and Evaluation of ARIMA and SARIMA Models Performance in Time Series Forecasting: An Applied Study2025
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