ESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS

< align=”justify”>Travel time between tourist attractions is one of the variables that need to be considered in planning a tour. However, uncertainty about traffic conditions will affect travel time. Therefore, the uncertain travel time value makes it possible to categorize time in order...

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Main Author: ISABELLA KARURUKAN NIM - 23516051, VIVIAN
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/31514
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:31514
spelling id-itb.:315142018-10-01T10:11:36ZESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS ISABELLA KARURUKAN NIM - 23516051, VIVIAN Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/31514 < align=”justify”>Travel time between tourist attractions is one of the variables that need to be considered in planning a tour. However, uncertainty about traffic conditions will affect travel time. Therefore, the uncertain travel time value makes it possible to categorize time in order to minimize uncertainty in estimating travel time. <br /> <br /> <br /> <br /> <br /> The categorization of travel time can be done by looking at the weekly pattern of weekdays and weekend holidays in Bandung. During weekends holidays, popular tourist attractions will usually be visited by tourists, which will cause traffic to be quite congested in locations around the popular tourist attractions. Therefore, the study focused on estimating the travel time between tourist attractions by considering the popularity of a tourist spot to be visited. An indication of the popularity of a tourist spot based on rating parameters obtained from Google Maps. <br /> <br /> <br /> <br /> <br /> This study focuses on the influence of the rating variable which is used as a determining factor in estimating the travel time during weekend holidays which in previous studies had not been considered. Therefore, the estimated travel time is done by doing mathematical modeling based on data that has been collected and then looking at the suitability of existing data with the appropriate mathematical models. Regression models are used because this regression model is suitable for analyzing how independent variables affect the dependent variable< align=”justify”> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description < align=”justify”>Travel time between tourist attractions is one of the variables that need to be considered in planning a tour. However, uncertainty about traffic conditions will affect travel time. Therefore, the uncertain travel time value makes it possible to categorize time in order to minimize uncertainty in estimating travel time. <br /> <br /> <br /> <br /> <br /> The categorization of travel time can be done by looking at the weekly pattern of weekdays and weekend holidays in Bandung. During weekends holidays, popular tourist attractions will usually be visited by tourists, which will cause traffic to be quite congested in locations around the popular tourist attractions. Therefore, the study focused on estimating the travel time between tourist attractions by considering the popularity of a tourist spot to be visited. An indication of the popularity of a tourist spot based on rating parameters obtained from Google Maps. <br /> <br /> <br /> <br /> <br /> This study focuses on the influence of the rating variable which is used as a determining factor in estimating the travel time during weekend holidays which in previous studies had not been considered. Therefore, the estimated travel time is done by doing mathematical modeling based on data that has been collected and then looking at the suitability of existing data with the appropriate mathematical models. Regression models are used because this regression model is suitable for analyzing how independent variables affect the dependent variable< align=”justify”>
format Theses
author ISABELLA KARURUKAN NIM - 23516051, VIVIAN
spellingShingle ISABELLA KARURUKAN NIM - 23516051, VIVIAN
ESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS
author_facet ISABELLA KARURUKAN NIM - 23516051, VIVIAN
author_sort ISABELLA KARURUKAN NIM - 23516051, VIVIAN
title ESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS
title_short ESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS
title_full ESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS
title_fullStr ESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS
title_full_unstemmed ESTIMATED TIME TRAVEL MODEL BETWEEN TOURIST ATTRACTIONS FOR TOURIST TRAVEL RECOMMENDATIONS WITH REGRESSION ANALYSIS
title_sort estimated time travel model between tourist attractions for tourist travel recommendations with regression analysis
url https://digilib.itb.ac.id/gdl/view/31514
_version_ 1822923610054983680