IMPLEMENTASI FUZZY TIME SERIES MULTIVARIAT UNTUK MEMPREDIKSI CURAH HUJAN DI KOTA PALEMBANG

SIHITE, IRWAN JERI and Samsuryadi, Samsuryadi and Efendi, Rusdi (2020) IMPLEMENTASI FUZZY TIME SERIES MULTIVARIAT UNTUK MEMPREDIKSI CURAH HUJAN DI KOTA PALEMBANG. Undergraduate thesis, Sriwijaya University.

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Abstract

Rainfall prediction is carried out in an effort to determine the state of rainfall in the future. Because the amount of rainfall that will occur is not easy to know for sure. So in this study, predict using the Multivariate Fuzzy Time Series Method because it can project future data based on time series data. The advantages of the multivariate Fuzzy Time Series method have 2 factors, 1 variable as the main factor and 8 variables as supporting factors. The error rate is calculated using AFER. Based on testing in the prediction of rainfall in Palembang city using the Multivariate Fuzzy Time Series method, the prediction results that are close to the actual data are on January 4, 2016 using data for 3 years of 4.034435 with very light rainfall intensity and AFER of 0.1455%. Keywords: Prediction, Rainfall, Multivariate Fuzzy Time Series

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Prediksi, Curah Hujan, Fuzzy Time Series Multivariat
Subjects:	Q Science > QA Mathematics > QA1-939 Mathematics > QA9.64.A56 Computer science. Fuzzy mathematics.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 7836 not found.
Date Deposited:	07 Sep 2020 01:42
Last Modified:	07 Sep 2020 02:40
URI:	http://repository.unsri.ac.id/id/eprint/34526

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