Analysis of Educational Tourism Management at Smart Park, Yogyakarta, Indonesia

Wijayanti, Ani; Damanik, Janianton; Fandeli, Chafid; Sudarmadji, Sudarmadji

doi:10.29313/mimbar.v34i1.2823

Cited by 6 publications

(7 citation statements)

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“…Muniz et al served the tourist experience of tourists by developing a wisdom tourism management model [6]. e purpose of Wijayanti et al research was to use data analysis to grasp the many contents of tourist attractions, which could be used to realize educational tourism [7]. e research content of Freitas and Mendes Filho was to analyze the purpose of smart tourism, and summarizes four aspects of smart tourism [8].…”

Section: Related Workmentioning

confidence: 99%

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Wisdom Tourism Management Mode in the Background of Big Data of the Internet of Things

Huang

Wen

Song

2022

Mobile Information Systems

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Since the rapid development of the global economy, tourism has become an indispensable entertainment and relaxation item in people’s lives. However, the traditional tourism management mode is slow in conveying tourism information, and there is no reasonable planning of tourism projects for tourists, and it is even more difficult to accurately locate the travel preferences of travelers and make specific travel plans, so that travel resources cannot be fully utilized. Therefore, the Internet of Things big data technology and travel management are combined. For this reason, a wisdom tourism management model based on the big data background of Internet of Things (IoT) is developed. In order to timely arrange and adjust work and travel plans, wisdom tourism makes use of cloud computing, IoT, and other new technologies, with the help of portable mobile terminal devices, so that the tourists can receive timely information about tourism resources, tourism activities, and tourism surroundings to achieve intelligent perception of tourism information, timely arrangement effect. Wisdom tourism can make use of undeveloped tourism resources as much as possible and drive the development of surrounding industries, and promote the economic development of tourist areas. This paper mainly compares the smart tourism management mode with the traditional tourism management mode. The experiment shows that the development degree of the wisdom tourism management mode accounts for 82.8% of the total tourism resources. The traditional tourism management model is only 70.1%, and the GDP of the economy around the tourist area in the wisdom tourism management model in one year is 1.4 times higher than that of the traditional tourism management model. In terms of tourism experience, the wisdom tourism management model is also much better than the traditional tourism management model. And the lower the average age of the experimenter, the higher the favorability of wisdom tourism, up to 98%. It highlights the advantages of the wisdom tourism management model in personalized tourism, tourism development, and surrounding economic growth.

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Section: Related Workmentioning

confidence: 99%

“…In formula (7), k is the kth neuron node of the output layer, t j represents the corresponding target output, and e j represents the error of the jth neuron in the output layer. y j represents the jth neuron node of the output layer.…”

Section: Artificial Neural Networkmentioning

confidence: 99%

Wisdom Tourism Management Mode in the Background of Big Data of the Internet of Things

Huang

Wen

Song

2022

Mobile Information Systems

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“…In order to test the application of cloud services by adding weights in smart tourism management, the experiment needs to obtain indicators that can analyze the performance of smart tourism management [17].…”

Section: Experimental Datamentioning

confidence: 99%

Application of Cloud Service in Smart Tourism Management Based on Weighted Average Algorithm

Feng

2022

Mathematical Problems in Engineering

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Tourism has become the main force driving urban economic development. However, there are problems such as low utilization rate of tourism resources and inconsistency of tourism information. The new smart tourism management model can sense tourism resources, tourist information, tourism development, and other information in a timely manner through terminal devices such as the Internet. The core of smart tourism management is to obtain travel information of travelers through cloud service technology, organize travel information, and recommend personalized travel plans for travelers. Apply cloud services to smart tourism management, and use the weighted average algorithm to make regression predictions on passenger information. This paper compares and analyzes the application of cloud service based on the algorithm for calculating the weighted average and the application of ordinary cloud service in smart tourism management through experiments. The experimental results show that the cloud service by adding weights can improve the forecast of the traveler’s information by 36% and 22%, respectively, compared with the cloud service of the ordinary average algorithm. Also, the effect of tourists’ travel experience is 72.2% and 56.3%, respectively. In the forecast of tourism information in tourism resources, tourism economy, and tourism activities, cloud services by adding weights maintain stable economic growth and improve tourists’ tourism experience. The cloud service in the smart tourism management of the weighted average algorithm can formulate corresponding tourism marketing strategies through the integration and prediction of tourism information, enhance the growth of the tourism economy, and improve the tourism experience of tourists.

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“…Most dominant management influence was the variation of tourism activities (Wijayanti et al, 2018). Agricultural tourism could be one of the alternative additionals to the variation of tourism activities in Sidomulyo, Hadiwarno, and Pager Kidul.…”

Section: Socialmentioning

confidence: 99%

Land Cover Change Impact on Coastal Tourism Development near Pacitan Southern Ringroad

Aji

Faniza

2021

MIMBAR, Jurnal Sosial dan Pembangunan

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Tourism is one of the economic sectors that can make a difference to the regional economy. Pacitan Regency is one of the regions which has tourism sector as its income. Pacitan regency also has Southern Ringroad that opens access to some coastal areas. Coastal areas have some tourism potentials, especially beach tourism. The aim of this research is to describe land cover change and its impacts on three beaches as coastal tourism areas due to the development of the southern ringroad. This research uses descriptive analysis to describe land cover change using remote sensing analysis and social-economic development in the coastal tourism area. Satellite images from Landsat 7 are analyzed to describe the land cover change. The result of this research shows that there is the land cover change which leads to social and economic development. Social development in the area is concluded not vulnerable and economic development is improved.

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Analysis of Educational Tourism Management at Smart Park, Yogyakarta, Indonesia

Cited by 6 publications

References 0 publications

Wisdom Tourism Management Mode in the Background of Big Data of the Internet of Things

Wisdom Tourism Management Mode in the Background of Big Data of the Internet of Things

Application of Cloud Service in Smart Tourism Management Based on Weighted Average Algorithm

Land Cover Change Impact on Coastal Tourism Development near Pacitan Southern Ringroad

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