Schedule of tour guide using genetic algorithm / Nur Aishah Rosli

Tourism is an activity of travelling to a place for pleasure or for certain purposes vyhich include business tourism, health tourism, sports, and others. Tourist agents play an important role in providing the best service. Now there are many organizations of the tourism industry that manage various...

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Main Author:	Rosli, Nur Aishah
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Configuration management Database management System design
Online Access:	https://ir.uitm.edu.my/id/eprint/69222/1/69222.pdf
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id	my-uitm-ir.69222
record_format	uketd_dc
spelling	my-uitm-ir.692222022-10-26T09:11:38Z Schedule of tour guide using genetic algorithm / Nur Aishah Rosli 2017-01 Rosli, Nur Aishah Instruments and machines Electronic Computers. Computer Science Programming. Rule-based programming. Backtrack programming Computer software Configuration management Database management System design Tourism is an activity of travelling to a place for pleasure or for certain purposes vyhich include business tourism, health tourism, sports, and others. Tourist agents play an important role in providing the best service. Now there are many organizations of the tourism industry that manage various activities and provide some tour guides to bring tourists in an effort to improve service quality. Better service quality requires the preparation of an orderly and well-planned schedule. However, the tour guide schedule is created manually, which cause more costs and time wasted. Therefore, the schedule for the tour guides is required for tourists can go to places that they want during their holiday, as well as increase the level of service from a travel agency. Therefore, this paper presents the study on the scheduling techniques and tourism events in Malaysia. The data collection was performed by using the method of interviewing experts or any official resource such as a Tourism Malaysia website. In this paper, genetic algorithm (GA) is the recommended techniques to achieve optimization for scheduling and to come out with a prototype of intelligence schedule for tour guides. Genetic algorithm is effective to plan the schedule of tour guides. The accuracy test shows that the percent of minimum clash or redundant between all the event and tour guide on duty has achieved which is 70%. Thereby, it can improve service of the travel agency and the schedule for the tour guide can be produced more easily. For future works, the schedule maybe can also include the place that tourist want to travel, because currently the schedule only limit to the state that tourist want to travel and also uniform crossover method and inversion mutation method can be apply to get more higher accuracy percentage. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69222/ https://ir.uitm.edu.my/id/eprint/69222/1/69222.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Puteh, Mazidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Puteh, Mazidah
topic	Instruments and machines Instruments and machines Instruments and machines Computer software Configuration management Database management System design
spellingShingle	Instruments and machines Instruments and machines Instruments and machines Computer software Configuration management Database management System design Rosli, Nur Aishah Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
description	Tourism is an activity of travelling to a place for pleasure or for certain purposes vyhich include business tourism, health tourism, sports, and others. Tourist agents play an important role in providing the best service. Now there are many organizations of the tourism industry that manage various activities and provide some tour guides to bring tourists in an effort to improve service quality. Better service quality requires the preparation of an orderly and well-planned schedule. However, the tour guide schedule is created manually, which cause more costs and time wasted. Therefore, the schedule for the tour guides is required for tourists can go to places that they want during their holiday, as well as increase the level of service from a travel agency. Therefore, this paper presents the study on the scheduling techniques and tourism events in Malaysia. The data collection was performed by using the method of interviewing experts or any official resource such as a Tourism Malaysia website. In this paper, genetic algorithm (GA) is the recommended techniques to achieve optimization for scheduling and to come out with a prototype of intelligence schedule for tour guides. Genetic algorithm is effective to plan the schedule of tour guides. The accuracy test shows that the percent of minimum clash or redundant between all the event and tour guide on duty has achieved which is 70%. Thereby, it can improve service of the travel agency and the schedule for the tour guide can be produced more easily. For future works, the schedule maybe can also include the place that tourist want to travel, because currently the schedule only limit to the state that tourist want to travel and also uniform crossover method and inversion mutation method can be apply to get more higher accuracy percentage.
format	Thesis
qualification_level	Bachelor degree
author	Rosli, Nur Aishah
author_facet	Rosli, Nur Aishah
author_sort	Rosli, Nur Aishah
title	Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
title_short	Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
title_full	Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
title_fullStr	Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
title_full_unstemmed	Schedule of tour guide using genetic algorithm / Nur Aishah Rosli
title_sort	schedule of tour guide using genetic algorithm / nur aishah rosli
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69222/1/69222.pdf
_version_	1783735857035870208

Schedule of tour guide using genetic algorithm / Nur Aishah Rosli

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