Machine Learning Methods for Forecasting Intermittent Tin Ore Production

Machine Learning Methods for Forecasting Intermittent Tin Ore Production

Effective production forecasting is important for resource planning and management in the mining industry. Tin ore production from Cutter Section Dredges (CSD) may fluctuate due to a variety of factors, in which there are periods when the production is zero. This study compares various combinations...

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Bibliographic Details
Main Authors:	Nabila Dhia Alifa Rahmah, Budhi Handoko, Anindya Apriliyanti Pravitasari
Format:	Article
Language:	English
Published:	Ikatan Ahli Informatika Indonesia 2024-10-01
Series:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:	forecasting classification machine learning mining catboost
Online Access:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/5990
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