Virtual route guide chatbot based on random forest classifier

Basid, Puspa Miladin Nuraida Safitri A, Hariri, Fajar Rohman, Nugroho, Fresy ORCID: https://orcid.org/0000-0001-9448-316X, Hanani, Ajib and Pamungkas, Firman Jati (2023) Virtual route guide chatbot based on random forest classifier. International Journal of Advanced Computer Science and Applications (IJACSA), 14 (8). pp. 235-241. ISSN 2156-5570

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Abstract

Improvements in the quality of tourism services and the number of human resources will affect the quality of social services and information services provided to foreign tourists, thereby enhancing the quality of services offered regarding tourist destination information in the Malang Raya area. Considering the urgency of foreign tourists in obtaining information related to directions, routes, and access roads to their desired tourist destinations, especially in East Java, due to limited data from the government agencies handling the tourism sector, as well as the difficulty in communication with residents who may not understand what is being communicated by foreign tourists. Therefore, the need for an interactive chatbot to assist in obtaining routes and access information to the desired tourist destinations will facilitate foreign tourists. To improve the accuracy of the chatbot's ability to answer sentence selection, the use of artificial intelligence, specifically the Random Forest Classifier, is necessary. This study obtained the highest accuracy value using a tree quantity of 200, a maximum tree depth of 20, and a minimum sample split of 5. Using these quantities resulted in an accuracy of 95.88%, precision of 96.29%, recall of 96.03%, and f-measure of 96.16%.

Item Type:	Journal Article
Keywords:	tourism; chatbot; artificial intelligence; random forest classifier
Subjects:	08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing 08 INFORMATION AND COMPUTING SCIENCES > 0802 Computation Theory and Mathematics 08 INFORMATION AND COMPUTING SCIENCES > 0803 Computer Software 08 INFORMATION AND COMPUTING SCIENCES > 0806 Information Systems
Divisions:	Faculty of Technology > Department of Informatics Engineering Faculty of Technology > Department of Library and Information Science
Depositing User:	Mrs Puspa Miladin Nuraida Safitri A Basid
Date Deposited:	04 Sep 2023 10:56

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