Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/7430
Title: Peer Review: Jurnal International Bereputasi_Widians_The Prediction Of Tourist Visiting With Average Based Fuzzy Time Series Method
Authors: Widians, Joan Angelina
Puspitasari, Novianti
Sari, Andi Famela Anggita
Keywords: Average Based; Fuzzy Time Series; MAPE value; Prediction; Tourist
Issue Date: 21-Apr-2019
Publisher: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP) , Bhopal (M.P.), India
Citation: IEEE
Series/Report no.: Vol 8 Issue 5C;
Abstract: This research aims to build a system which able to predict tourist visiting in the Province of East Kalimantan with Average Based Fuzzy Time Series method. Data collection in this research conducted by direct observation and interview with the Secretary on Duty of the East Kalimantan Province Tourism Department. This research uses the total numbers of tourist that visited the Province of East Kalimantan from 2008 through the year 2016 to predict tourist visit has the following years. In this research, value of MAPE is used to count the value of error or the imprecision of prediction result, so that the result of prediction will reach close to. The result of the building system is the prediction result for international tourist visiting with the MAPE value of 0,77375%, which is included in the criteria of ‘very good’, therefore it can be concluded that this system can be used to predict tourist visiting the Province of East Kalimantan.
Description: Peer Review: Jurnal International Bereputasi. Joan Angelina Widians
URI: http://repository.unmul.ac.id/handle/123456789/7430
ISSN: 2249-8958
Appears in Collections:Peer Review

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