Smart Tourims: Decision Support Systems In The Strategic Location Of Inn/Hotel For Travelers Using The Naive Bayes Algorithm

Authors : Husain Husain; Nurul Fitriani; Muhammad Zarlis; Mochamad Wahyudi; Heroe Santoso et al.
article cite 2 Year 2021
source: Journal of Physics Conference Series
Abstract

Abstract This research makes the system in decision making for tourists who will visit an area. In making decision decision systems using the Bayes algorithm. Bayes’s theorem was put forward by a 1763 British Presbyterian minister named Thomas Bayes. In this study Bayes’s theorem is used to calculate the probability of occurrence of an event based on the influence obtained from the observations. In this paper, the Naive Bayes algorithm is used to support the Decision Making System (DSS) to determine the best and strategic location in determining hotel accommodations, especially for tourists who are associated with having mediocre funds in traveling to Lombok Island. In this study applied a number of criteria and data sets obtained from questionnaires from some visiting tourists. There are 3 variables including Hotel Prices, Distance, and the presence or absence of transportation from tourist destinations, from the three variables, to the training dataset. So that in the future there will be questions in the form of data testing to answer the decision whether the hotel can be take or not by looking at the highest probability value.


Concepts :
Decision Support System Applications
Big Data and Business Intelligence
Information Retrieval and Data Mining
article cite 2 Year 2021 source Journal of Physics Conference Series
SDGs
Peace, Justice and strong institutions
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