PREDICTION SYSTEM FOR THE AMOUNT OF SUGAR PRODUCTION USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

PREDICTION SYSTEM FOR THE AMOUNT OF SUGAR PRODUCTION USING ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM

Sugar is one of the staple foods most Indonesians use, so sugar production needs to be done optimally to meet people's needs. This research will design a prediction system for the amount of sugar production in PTPN XI PG Prajekan using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. A...

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Bibliographic Details
Main Authors: Ahmad Kamsyakawuni, Walidatush Sholihah, Abduh Riski
Format: Article
Language:English
Published: Universitas Pattimura 2024-10-01
Series:Barekeng
Subjects:
prediction system
sugar production
adaptive neuro-fuzzy inference system
membership function
Online Access:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13232
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https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/13232

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