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All Journal PELS (Procedia of Engineering and Life Science)
Andreyanto, Muhammad Faisal
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Refining Sugar Production Forecasts: Analyzing Forecasting Techniques for Operational Precision: Prakiraan Produksi Gula Penyulingan: Menganalisis Teknik Peramalan untuk Ketepatan Operasional Andreyanto, Muhammad Faisal; Wahyuni, Hana Catur
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1558

Abstract

This study compares the efficacy of moving averages and double exponential smoothing (Holt's method) in predicting sugar production, using historical data. Results reveal that double exponential smoothing outperforms moving averages, offering more accurate forecasts, particularly in contexts requiring responsiveness to data trends. These findings hold significant implications for enhancing operational efficiency and readiness in the sugar industry, guiding maintenance scheduling and production target achievement. Highlights: Double exponential smoothing (Holt's method) surpasses moving averages in accuracy. Importance of forecasting in operational efficiency and maintenance scheduling. Applicability of forecasting techniques in the sugar industry context. Keywords: Forecasting, Moving Average, Sugar Production
Co-Authors Hana Catur Wahyuni