Virtual Route Guide Chatbot Based on Random Forest Classifier

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