COMPARISON OF SARIMA AND HIGH-ORDER FUZZY TIME SERIES CHEN TO PREDICT KALLA KARS MOTORBIKE SALES

Forecasting sales time series data is essential for companies to support effective planning and decision-making processes. This study evaluates the strengths of the Seasonal Autoregressive Integrated Moving Average (SARIMA) and High-Order Fuzzy Time Series Chen (FTS Chen) models in predicting motorb...

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Bibliographic Details

Published in:	Media Statistika
Main Authors:	Ummul Auliyah Syam, Irdayanti Irdayanti, Khairil Anwar Notodiputro, Yenni Angraini, Laily Nissa Atul Mualifah
Format:	Article
Language:	English
Published:	Universitas Diponegoro 2025-10-01
Subjects:	forecasting fuzzy logic high order model accuracy seasonal model time series.
Online Access:	https://ejournal.undip.ac.id/index.php/media_statistika/article/view/63966