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

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Penilaian

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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%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003047	T76150	T761502022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T761502022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

xiv, 69 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem Pakar
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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