PREDIKSI JUMLAH WISATAWAN MANCANEGARA DI INDONESIA MENGGUNAKAN METODE FUZZY TIME SERIES DAN ALGORITMA GENETIKA

SETIAWAN, MUHAMMAD HARIS and Rini, Dian Palupi and Marieska, Mastura Diana (2022) PREDIKSI JUMLAH WISATAWAN MANCANEGARA DI INDONESIA MENGGUNAKAN METODE FUZZY TIME SERIES DAN ALGORITMA GENETIKA. Undergraduate thesis, Sriwijaya University.

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Abstract

The role of the tourism sector continues to increase in the Indonesian economy. The number of foreign tourist visits is one of the main keys in the tourism sector, but the number of foreign tourist arrivals in Indonesia fluctuates every certain period of time. Prediction of the number of foreign tourists is very important because it can be used as information to determine effective programs and policies. Fuzzy Time Series is a method for prediction that works to store data in the past and then processed to produce new values that will be displayed in the future. This method was chosen because it does not require assumptions compared to other prediction methods. In the prediction process, the Fuzzy Time Series method has a weakness, the length of the interval in the sub-set used is too far apart so that the prediction results are less than optimal. Genetic Algorithm is used to help determine the best value to be used as interval limit in the Fuzzy Time Series subset. The test using 252 data on the number of foreign tourist arrivals in Indonesia based on the month period resulted Mean Absolute Percentage Error (MAPE) value 7,729518%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Wisatawan Mancanegara, Fuzzy Time Series, Algoritma Genetika, MAPE
Subjects:	T Technology > T Technology (General) > T1-995 Technology (General)
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mr. Muhammad Haris Setiawan
Date Deposited:	05 Aug 2022 04:27
Last Modified:	05 Aug 2022 04:27
URI:	http://repository.unsri.ac.id/id/eprint/76150

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