PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA MENGGUNAKAN FUZZY TIME SERIES-AUTIMATIC CLUSTERING FUZZY LOGICAL RELATIONSHIP

FEBIOLA, CIKITA MERLY and Abdiansah, Abdiansah and Miraswan, Kanda Januar (2021) PERAMALAN JUMLAH KUNJUNGAN WISATAWAN MANCANEGARA MENGGUNAKAN FUZZY TIME SERIES-AUTIMATIC CLUSTERING FUZZY LOGICAL RELATIONSHIP. Undergraduate thesis, Sriwijaya University.

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Abstract

A foreign tourist is someone who comes to a place that is not their country only temporarily or not permanently. Estimates of the number of tourists who come are not fixed or always changing. Therefore, a method is needed to estimate the number of tourists. The method that is often used in forecasting is the Fuzzy Time Series. Forecasting uses techniques to estimate a value in the future by paying attention to current data and past data. In this study, the method that will be used is the Automatic Clustering Fuzzy Logical Relationship method. In the Automatic Clustering Fuzzy Logical Relationship method will form an interval based on the number of clusters obtained from the calculation of Automatic Clustering. The data used are 240 data from 1999 to 2018. The results of the error value obtained from the calculation of Automatic Clustering Fuzzy Logical Relationship get an error value (MAPE) of 6.22%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Wisatawan, Fuzzy Time Series, Automatic Clustering Fuzzy Logical Relationship , Mean Absolute Percetage Error.
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > Q Science (General) > Q350-390 Information theory
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Cikita Merly Febiola
Date Deposited:	20 Sep 2021 07:11
Last Modified:	20 Sep 2021 07:11
URI:	http://repository.unsri.ac.id/id/eprint/54353

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