IMPLEMENTASI FUZZY TIME SERIES CHEN DAN K-MEANS CLUSTERING PADA PERAMALAN NILAI TUKAR RUPIAH TERHADAP US DOLLAR

SAVITRI, DITA AYU and Rini, Dian Palupi (2021) IMPLEMENTASI FUZZY TIME SERIES CHEN DAN K-MEANS CLUSTERING PADA PERAMALAN NILAI TUKAR RUPIAH TERHADAP US DOLLAR. Undergraduate thesis, Sriwijaya University.

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Abstract

One of the forecasting methods based on time series is Fuzzy Time Series Chen. However, Fuzzy Time Series Chen has a weakness in the interval section because determining the interval value is static or constant. The determination of the length of the interval itself is very influential in the results of the forecasting result. Therefore, to determine the appropriate interval length, one of the methods used to determine the length of the interval is K-Means Clustering. In this research, Fuzzy Time Series Chen and K-Means Clustering is used as a forecasting model. The benchmark for error use Means Absolute Percentage Error (MAPE). The error results for FTS Chen at the selling rate is 0.6784 % and for buying rate is 0. 6779 % while the FTS Chen - K-Means error percentage for the selling rate is 0,422% and buying rate is 0.4429%. It can be concluded that FTS Chen and K-Means results are better than FTS Chen. Keywords: Fuzzy Time Series Chen, K-Means Clustering, Mean Absolute Percentage Error, Forecasting.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Fuzzy Time Series Chen, K-Means Clustering, Mean Absolute Percentage Error, Forecasting.
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA75.5.A142 Computer science. Information society. Information technology. Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.76.I58.A3115 Computer science. Computers. Intelligent agents (Computer software) Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76.9.D343 Data mining. Database searching. Big data. Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages 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:	Dita Ayu Savitri
Date Deposited:	23 Sep 2021 02:43
Last Modified:	23 Sep 2021 02:43
URI:	http://repository.unsri.ac.id/id/eprint/54526

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