The Prediction of Tourist Visiting With Average Based Fuzzy Time Series Method 
Joan Angelina Widians1, Novianti Puspitasari2, Andi Famela Anggita Sari3
1Joan Angelina Widians, Department of Informatics Engineering, Faculty of Computer Science and Information Technology, Mulawarman University, Indonesia.
2Novianti Puspitasari, Department of Informatics Engineering, Faculty of Computer Science and Information Technology, Mulawarman University, Indonesia.
3Andi Famela Anggita Sari, Department of Informatics Engineering, Faculty of Computer Science and Information Technology, Mulawarman University, Indonesia
Manuscript received on 03 September 2019 | Revised Manuscript received on 13 September 2019 | Manuscript Published on 23 September 2019 | PP: 1467-1469 | Volume-8 Issue-5C, May 2019 | Retrieval Number: E12150585C19/19©BEIESP | DOI: 10.35940/ijeat.E1215.0585C19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
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.
Keywords: Average Based, Fuzzy Time Series, MAPE Value, Prediction, Tourist.
Scope of the Article: Fuzzy Logics