Open AccessThe Prediction Of Tourist Visiting With Average Based Fuzzy Time Series Method
Author(s) -
Joan Angelina Widians,
Novianti Puspitasari,
Andi Famela Anggita Sari
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.e1215.0585c19
Subject(s) - tourism , mean absolute percentage error , value (mathematics) , fuzzy logic , statistics , time series , series (stratigraphy) , geography , computer science , mathematics , mean squared error , artificial intelligence , paleontology , archaeology , biology
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.