Handito M Septiadi | Telkom University (original) (raw)
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Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the... more Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the value of investment in the tourism industry continued to grow significantly. This was created more Online Travel Agent business in recent years . However, it made a lot of business travel and Umrah travel in Indonesia is threatened with bankruptcy, after the online travel business activity is rampant in enterprise business market ticket sales and travel tours. The case study of this research was different fr om the Online Travel Agent business in general because i t worked in real -time using flight tickets and hotel room s sales data. Data mining, extraction of hidden predictive inf ormation from large databases, wa s a powerful technology with great potential to he lp companies focus on the most important information in their data warehouse. By using the method of classification in data mining, t he objectives of t his paper was able to create predictive model s from flight tickets an...
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Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the... more Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the value of investment in the tourism industry continued to grow significantly. This was created more Online Travel Agent business in recent years. However, it made a lot of business travel and Umrah travel in Indonesia is threatened with bankruptcy, after the online travel business activity is rampant in conventional business market ticket sales and travel tours. The research case study is different from the Online Travel Agent business in general, because it worked in real-time analytic using flight tickets and hotel rooms sales data to create prediction or recommendation model. Data mining, extraction of hidden predictive information from large databases, was a powerful technique with great potential to help companies focus on the most important information in their data warehouse. By using classification method in data mining, the objectives of this paper is to create predictive models from flight tickets and hotel rooms sales data using the decision tree classification approach. The result of this paper is beneficial for business that can be used as basic algorithm for programming in Online Travel Agent recommendation feature.
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2016 by Handito M Septiadi
Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the... more Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the value of investment in the tourism industry continued to grow significantly. This was created more Online Travel Agent business in recent years. However, it made a lot of business travel and Umrah travel in Indonesia is threatened with bankruptcy, after the online travel business activity is rampant in conventional business market ticket sales and travel tours. The research case study is different from the Online Travel Agent business in general, because it worked in real-time analytic using flight tickets and hotel rooms sales data to create prediction or recommendation model. Data mining, extraction of hidden predictive information from large databases, was a powerful technique with great potential to help companies focus on the most important information in their data warehouse. By using classification method in data mining, the objectives of this paper is to create predictive models from flight tickets and hotel rooms sales data using the decision tree classification approach. The result of this paper is beneficial for business that can be used as basic algorithm for programming in Online Travel Agent recommendation feature.
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Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the... more Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the value of investment in the tourism industry continued to grow significantly. This was created more Online Travel Agent business in recent years . However, it made a lot of business travel and Umrah travel in Indonesia is threatened with bankruptcy, after the online travel business activity is rampant in enterprise business market ticket sales and travel tours. The case study of this research was different fr om the Online Travel Agent business in general because i t worked in real -time using flight tickets and hotel room s sales data. Data mining, extraction of hidden predictive inf ormation from large databases, wa s a powerful technology with great potential to he lp companies focus on the most important information in their data warehouse. By using the method of classification in data mining, t he objectives of t his paper was able to create predictive model s from flight tickets an...
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Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the... more Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the value of investment in the tourism industry continued to grow significantly. This was created more Online Travel Agent business in recent years. However, it made a lot of business travel and Umrah travel in Indonesia is threatened with bankruptcy, after the online travel business activity is rampant in conventional business market ticket sales and travel tours. The research case study is different from the Online Travel Agent business in general, because it worked in real-time analytic using flight tickets and hotel rooms sales data to create prediction or recommendation model. Data mining, extraction of hidden predictive information from large databases, was a powerful technique with great potential to help companies focus on the most important information in their data warehouse. By using classification method in data mining, the objectives of this paper is to create predictive models from flight tickets and hotel rooms sales data using the decision tree classification approach. The result of this paper is beneficial for business that can be used as basic algorithm for programming in Online Travel Agent recommendation feature.
Bookmarks Related papers MentionsView impact
Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the... more Indonesia as one of the favorite vacation destinations of domestic and foreign travelers made the value of investment in the tourism industry continued to grow significantly. This was created more Online Travel Agent business in recent years. However, it made a lot of business travel and Umrah travel in Indonesia is threatened with bankruptcy, after the online travel business activity is rampant in conventional business market ticket sales and travel tours. The research case study is different from the Online Travel Agent business in general, because it worked in real-time analytic using flight tickets and hotel rooms sales data to create prediction or recommendation model. Data mining, extraction of hidden predictive information from large databases, was a powerful technique with great potential to help companies focus on the most important information in their data warehouse. By using classification method in data mining, the objectives of this paper is to create predictive models from flight tickets and hotel rooms sales data using the decision tree classification approach. The result of this paper is beneficial for business that can be used as basic algorithm for programming in Online Travel Agent recommendation feature.
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