"IMPLEMENTASI AUTOMATIC CLUSTERING DAN FUZZY TIME SERIES MODEL HIGH ORDER PADA PERAMALAN JUMLAH WISATAWAN MANCANEGARA KOTA BATAM "

  • Putra Karunia Alumni Program Studi Informatika Fakultas Teknik
  • Nola Ritha Ritha Dosen Fakultas Teknik UMRAH
  • Dwi Amalia Purnamasari Dosen Fakultas Teknik UMRAH
Keywords: Automatic Clustering, Fuzzy Time Series, Batam

Abstract

he development of tourism in Indonesia is currently being pushed to become one of the sectors that contributes greatly in developing the economy and improving people's welfare. One of them is Batam City which has a lot of natural potential and has a number of opportunities in the field of tourism. The density of tourism in Batam must be balanced with tourist facilities in Batam. Various tourist objects owned by the City of Batam increasingly attract foreign tourists to visit. Therefore, the author makes an application to predict Foreign Tourists who enter Batam City by implementing the Automatic Clustering and Fuzzy Time Series Model High Order Model in Forecasting the Number of Foreign Tourists in Batam City. In forecasting using the Automatic Clustering and High Order Fuzzy Time Series method of the second order with the results of forecasting for the following month, October 2019 get a yield of 1074.5 with a MAPE result of 0.429213368 %.

Published
2020-11-24
Section
Teknik Informatika