Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry

Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry

Inconsistencies in product weight during fertilizer bagging can lead to material losses and reduced operational efficiency. This study investigates the use of machine learning to predict weight deviations in the Urea Bagging Unit at PT Petrokimia Gresik. Four algorithms were used: an Artificial Neur...

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Bibliographic Details
Main Authors: Ari Primantara, Udisubakti Ciptomulyono, Berlian Al Kindhi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:AgriEngineering
Subjects:
bagging system
machine learning
production efficiency
random forest regressor
weight inconsistency
Online Access:https://www.mdpi.com/2624-7402/7/6/187
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