Smart Tourims: Decision Support Systems In The Strategic Location Of Inn/Hotel For Travelers Using The Naive Bayes Algorithm. Issue 1 (April 2021)

• Record Type: Journal Article
• Authors: Husain, ; Zarlis, Muhammad; Wahyudi, Mochamad; Santoso, Heroe; Tamando Sihotang, Hengki; Fitriani, Nurul
• Is Part Of: Journal of physics. Volume 1830:Issue 1(2021)
• Publication Date: 2021-04
• Subjects: Tourism -- DSS -- Naive Bayes -- Probability -- training data -- data testing -- dataset; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1830/1/012012
• Languages: English
• ISSNs: 1742-6588

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.