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Journal articles on the topic 'Tourist spot'
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1
Kunthea, Bopha. "Bayon Temple In The Development Of Budhisme In Cambodia." Vidyottama Sanatana: International Journal of Hindu Science and Religious Studies 2, no. 1 (May 31, 2018): 60. http://dx.doi.org/10.25078/ijhsrs.v2i1.514.
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<p>Cambodia is experiencing tremendous tourism developments. Many choices of tourist attractions that can be selected by tourists. Each tourist attraction provides interesting offers for tourists who visit. The existence of temples in Cambodia is the main attraction for tourists, so many temples start to become a tourist spot. Bayon Temple is one of the tourist attractions visited by tourists. Utilization of Bayon Temple as a tourist visit is a result of tourism development. These developments affect the social and cultural life of Buddhists in Cambodia.</p>
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Suroso, Suroso. "ANALISIS MANAJEMEN RISIKO PADA KAWASAN TAMAN NASIONAL GUNUNG GEDE PANGRANGO (TNGGP) JAWA BARAT." Jurnal Bina Akuntansi 5, no. 1 (January 31, 2018): 44–81. http://dx.doi.org/10.52859/jba.v5i1.35.
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Tourism has already become major economic contributor since 2014. Many people start to get the experience and explore the world. Base on WTO prediction, there are about 1.6 billion tourists over the world, and most of them are in Asia and Pasific. By 2020 these people could generate about 2 trilion USD income in tourism sector. Indonesia has known as one of biggest archipelago island in the world and has a lot of tourist spot over their island. One of interesting spot in West Java is Taman Nasional Gunung Gede Pangrango in Bogor. This place has been well known as agri-tourism spot for long time ago. Unfortunately in order to increase the competitiveness of this tourist spot, they should implement risk management in their daily operational. We found that the management hasn’t implement any risk management in their daily operational. So we would like to conduct some observation and hope can mapping potential risk of this place. Purpose of this research is aim to mapping risk and conducted quadran analysis in order to achieved good risk management of Taman Nasional Gunung Gede Pangrango. And the this tourist spot can be one of unique tourist spot that can support Indonesia Tourism in 2020.
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Fathurrahman, Ade, and Diky Firdaus. "Rancang Bangun Aplikasi Virtual Tour Berbasis Android untuk Pariwisata Pulau Belitung sebagai Media Informasi." Arcitech: Journal of Computer Science and Artificial Intelligence 1, no. 2 (December 20, 2021): 139. http://dx.doi.org/10.29240/arcitech.v1i2.4318.
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Information Technology is expected to be a solution in tourism, especially in Belitung Island. The purpose of this study is to make it easier for tourists visiting Belitung Island to easily determine the tourist locations to be visited by showing the closest tourist locations and also virtual tours of each of the available tourist attractions. The method used in this research is the Multimedia Development Life Cycle (MDLC) method. This research was made so that tourists can easily determine the destination of tourist attractions based on the distance from the tourist location and virtual tours that utilize 360-degree images on the android application. At the search stage, the application will ask for gps access to see the starting point of the tourist. Then the system will automatically provide a list of tourist attractions sorted by the closest distance to tourists. Then after the tourist chooses a tourist spot, the application will bring up the details of the tourist spot and give the option to bring up a virtual tour of the tourist spot. With the addition of virtual tours and the Haversine formula for determining distances through the longitude and latitude of a location, it has proven to be effective in providing the detailed information travelers need.
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Xie, Xiaona, and Wenliang Zhang. "Regulation Mechanism of Spatial Capacity of Tourist Resources in Scenic Spots Based on Internet of Things Technology." Complexity 2021 (September 30, 2021): 1–12. http://dx.doi.org/10.1155/2021/3934894.
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At present, it is urgent to solve the problem of scenic area tourism environmental capacity. This paper analyzes the causes of congestion and overload in scenic spots and then points out that the methods to solve the problem are capacity restriction and flow control. This paper first calculates the spatial capacity of various tourism resources in a scenic spot by using mathematical model and then studies the intelligent spatial management model of tourist flow in the scenic spot based on the Internet of Things technology. Based on the Internet of Things technology, the spatial capacity control platform of tourist resources in scenic spots built in this paper can realize the structure analysis of peak forest of tourist flow in scenic spots and the fractal and fractal dimension analysis of tourist flow and determine the spatial and temporal threshold of tourist flow control in tourist destinations. Through capacity restriction and flow regulation, tourists can be scientifically channelled and distributed, which can greatly reduce congestion and overload, enhance tourist experience, and improve tourist satisfaction, so as to promote the sustainable development of the scenic spot.
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Wulandari, Meri, Gunardi Djoko Winarno, Agus Setiawan, and Arief Darmawan. "PERSEPSI WISATAWAN TERHADAP OBJEK DAYA TARIK WISATA DI KEBUN RAYA LIWA KABUPATEN LAMPUNG BARAT." Jurnal Belantara 2, no. 2 (August 1, 2019): 84. http://dx.doi.org/10.29303/jbl.v2i2.94.
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The perception of tourists attraction was very important to be learnt to provide some information for manager to object tourism attraction. The purpose of this research was to analyzed the perceptions of tourists to the objects tourism attractions, accommodation, infrastructure, facilities and services at the Botanical Garden of Liwa. The method used was a questionnaire. The results of this research showed that Liwa Botanical garden has 5 objects tourism attractions that were Ornamental Garden, Fruit Garden, Araceae Garden, Aren Garden and Photo Spot . Araceae Garden, and Aren Garden had the lowest score based on the tourist perception. The highest tourist perception value is the Photo Spot; while the tourist perception of Araceae Park and Aren Park has the lowest value that is classified as not good because the object has not been opened for tourists. Perception of infrastructure was higher than accommodation, facilities and service. Development need to be carried especially in tourist lodgings, objects tourism attraction, the parking area and promotion to introduce Liwa Botanical Garden to the tourists.
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Gimnastian, Danu Fawwaz, Rahmat Yasirandi, and Dita Oktaria. "Analysis and Design of a Route Recommendation System and Bicycle Rental Fees at Tourist Destinations with Genetic Algorithms." JURNAL MEDIA INFORMATIKA BUDIDARMA 6, no. 2 (April 25, 2022): 837. http://dx.doi.org/10.30865/mib.v6i2.3749.
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The tourism sector is one of the country's most significant sources of income, especially in Indonesia. This is inseparable from many visitors or foreign tourists who come to Indonesia. Bandung is a tourist destination that is famous for its natural beauty and traditional culture, one example is in Desa Alamendah which has several tourist destinations, namely agro-tourism, nature tourism, and cultural tourism. However, access that can be passed from every tourist spot in Desa Alamendah can only be given on foot or by bicycle. Responding to this matter, bicycle facilities as a means of rotation are needed to access tourist attractions in Desa Alamendah. Based on these problems, this study aims to create a recommendation system for tourist attractions and bicycle rentals using an application in Desa Alamendah, Bandung. Using the Genetic Algorithm, an algorithm that can solve multi-objective problems can be applied to a tourist spot recommendation system in Desa Alamendah. In this system, the Genetic Algorithm is also used to determine fares based on the total distance traveled, so that bicycle rentals are more efficient. The study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms, so that bicycle rentals are more efficient. This is study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms. So that bicycle rentals are more efficient. The study combines Google Maps as an appropriate route selection based on the recommendation of tourist destination points that tourists can visit using Genetic Algorithms. Based on the results of tests that have been carried out in the process of forming tourist attractions recommendations with a Genetic Algorithm that using mutation probability 1.0 and Crossover Probability 0.6, can produce a Mobile Application with a Genetic Algorithm as a tourist spot recommendation system in Desa Alamendah. In addition, it also can provide recommendations, namely displaying tourist points, route using Google Maps. The rental fee is based on the total distance traveled.
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Zhou, Xiao, Bowei Wen, Mingzhan Su, and Jiangpeng Tian. "A Low-Carbon Decision-Making Algorithm for Water-Spot Tourists, Based on the k-NN Spatial-Accessibility Optimization Model." Water 14, no. 18 (September 18, 2022): 2920. http://dx.doi.org/10.3390/w14182920.
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This study presents a low-carbon decision-making algorithm for water-spot tourists, based on the k-NN spatial-accessibility optimization model, to address the problems of water-spot tourism spatial decision-making. The attributes of scenic water spots previously visited by the tourists were knowledge-mined, to ascertain the tourists’ interest-tendencies. A scenic water-spot classification model was constructed, to classify scenic water spots in tourist cities. Then, a scenic water spot spatial-accessibility optimization model was set up, to sequence the scenic spots. Based on the tourists’ interest-tendencies, and the spatial accessibility of the scenic water spots, a spatial-decision algorithm was constructed for water-spot tourists, to make decisions for the tourists, in regard to the tour routes with optimal accessibility and lowest cost. An experiment was performed, in which the tourist city of Leshan was chosen as the research object. The scenic water spots were classified, and the spatial accessibility for each scenic spot was calculated; then, the optimal tour routes with optimal spatial accessibility and the lowest cost were output. The experiment verified that the tour routes that were output via the proposed algorithm had stronger spatial accessibility, and cost less than the sub-optimal ones, and were thus more environmentally friendly.
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Rahantoknam, Meyske Angel. "How Safety and Accessibility Affect The Perception and Local Tourist Experience?: Eastern Indonesia Marine Tourism Pre- Covid-19 Pandemic." Jurnal Ilmiah Manajemen dan Bisnis 8, no. 3 (December 15, 2022): 307. http://dx.doi.org/10.22441/jimb.v8i3.16260.
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Eastern Indonesia has enormous marine tourism potential. The main problem is accessibility. Inside the region also poses the same problem, where some local marine tourism spots can be considered accessible. In addition, the lack of infrastructure on marine tourism spots may actually have great impact on safety of tourist, which can all together affect the tourist positive experience. Based on this current condition, this study aimed to measure the impact of accessibility and safety through brand perception to tourism experience. This Study conducted In Kei Islands, which home of up and coming marine tourism spots in the country. This study used path analysis with Smart-PLS, questionnaire is used for data collection with total 120 samples. The result indicated that safety and accessibility have positive and significant effect on tourist experience, what is more, accessibility have positive and significant effect on marine tourism spot’ brand perception. This study clearly indicated that access to marine tourism spot can have a bigger impact to visitor positive experience and the brand image perception of the tourism spot, therefore tourism management with government to optimize the transportation and information related to make it easier for local, domestic and foreign tourists to visit the region.
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Putri, Juliana, and Fitria Andriani. "FAKTOR- FAKTOR YANG MEMPENGARUHI INTEREST OF REVISIT WISATAWAN PADA WISATA UJONG BLANG KOTA LHOKSEUMAWE." Jurnal Ekonomi Syariah, Akuntansi dan Perbankan (JESKaPe) 5, no. 1 (June 3, 2021): 1–15. http://dx.doi.org/10.52490/jeskape.v5i1.1077.
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Traveling is a necessary thing in everyday life, traveling on a tour can eliminate boredom and can remember thoughts of everyday problems. A good tourist spot will greatly affect the desire to make a visit on that tour, and a good tourist spot will be interesting to make a repeat visit on that tour. The research aims to see the effect of service influence, tourism image, tourist attraction and promotion partially and simultaneously on the interests of visiting tourists. This research uses quantitative methods. Sampling combines accidental sampling and purposive sampling, involving 97 tourists as respondents. Data processing using multiple linear regression with IMB 22 statistical tools: The results of data analysis show that service quality (X1) does not have a significant effect on the interest of returning tourists with a significant value of 0.394> 0.05. The results of data analysis show that the tourism image ( X2) has a significant effect on the interest of returning tourists with a significant value of 0.000 <0.05. The results of data analysis show that tourist attraction (X3) has a significant effect on the interest of returning tourists with a significant value of 0.031 <0.05, the results of data analysis show that Promotion (X4) has a significant effect on the interest of returning tourists with a significant value of
0.022 <0.05 on testing service quality, tourism image, tourist attraction, promotion is able to influence the interest of returning visits simultaneously where the significance value is 0.000 <0.05.
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Yousaf, Salman, Ali Razzaq, and Xiucheng Fan. "Understanding tourists’ motivations to launch a boycott on social media: A case study of the #BoycottMurree campaign in Pakistan." Journal of Vacation Marketing 27, no. 4 (February 12, 2021): 479–95. http://dx.doi.org/10.1177/1356766721993861.
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This research paper studies the domestic tourism destination boycott of Murree, the most popular tourist spot in Pakistan. Murree, a hill spot in the footsteps of the Himalayan mountain ranges, attracts millions of tourists from all over Pakistan every year due to its natural scenery and easy accessibility. However, weak regulation and unmanageable demand have made the local hospitality industry quixotic, prompting affiliated businesses in Murree to exploit tourists. Subsequently, the #BoycottMurree campaign was launched on social media at the beginning of 2018; this campaign gained quickly momentum, and Murree reported declines in business for the first time during the summer season of 2018. Using a netnographic case study approach of the #BoycottMurree campaign it found that the communication revolved around instrumental boycott motives and non-instrumental boycott motives. Moreover, the tourist ethnocentrism theme naturally emerged from the data, advocating anti-boycott. Overall, the results theoretically inform the literature by extrapolating tourist boycott notions in terms of domestic tourism and pointing out the ways in which domestic tourism boycotts may be different from international tourism boycotts. The results also guide domestic tourism organizations and businesses about the importance of developing competing destinations.
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Ratna, Maharani Patria, Girindra Putri Ardana Reswari, Fitri Alfarisy, and Ressa Meyyana Dewi. "The Role of Oral Traditions in Ecotourism Conservation in Indonesia and Japan." E3S Web of Conferences 317 (2021): 01088. http://dx.doi.org/10.1051/e3sconf/202131701088.
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As a background of this research, the oral tradition is an ancestral heritage that influences various aspects of a society's life as an identity of local wisdom. Apart from containing moral messages, oral traditions are often linked to the original character. Also, oral traditions cannot be separated from their role in the tourism industry. Many tourist objects are offered because they have fascinating oral traditions to attract tourists. The role of oral traditions in the tourism industry should be mapped to develop various sectors. This study aims to identify the role of oral traditions in developing ecotourism in Indonesia and Japan. The method used in this research is literature study and interviews. The result shows that in Indonesia and Japan, oral traditions still immensely attract tourists to come to the tourist spot. Many tourists who come to ecotourism spots want to enjoy vacation or to recover from any disease. This condition makes the government and the local civil conserve their ecotourism spot. In conclusion, this study indicates four roles of oral traditions in the development of ecotourism, namely as a means of attracting tourists' interest, as a means of developing tourist areas, as a means of developing tourism products, and as a means of developing human resources.
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Zhang, Chengkun, Yiran Zhang, Jiajun Zhang, Junwei Yao, Hongjiu Liu, Tao He, Xinyu Zheng, et al. "A Deep Transfer Learning Toponym Extraction and Geospatial Clustering Framework for Investigating Scenic Spots as Cognitive Regions." ISPRS International Journal of Geo-Information 12, no. 5 (May 12, 2023): 196. http://dx.doi.org/10.3390/ijgi12050196.
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In recent years, the Chinese tourism industry has developed rapidly, leading to significant changes in the relationship between people and space patterns in scenic regions. To attract more tourists, the surrounding environment of a scenic region is usually well developed, attracting a large number of human activities, which creates a cognitive range for the scenic region. From the perspective of tourism, tourists’ perceptions of the region in which tourist attractions are located in a city usually differ from the objective region of the scenic spots. Among them, social media serves as an important medium for tourists to share information about scenic spots and for potential tourists to learn scenic spot information, and it interacts to influence people’s perceptions of the destination image. Extracting the names of tourist attractions from social media data and exploring their spatial distribution patterns is the basis for research on the cognitive region of tourist attractions. This study takes Hangzhou, a well-known tourist city in China, as a case study to explore the human cognitive region of its popular scenic spots. First, we propose a Chinese tourist attraction name extraction model based on RoBERTa-BiLSTM-CRF to extract the names of tourist attractions from social media data. Then, we use a multi-distance spatial clustering method called Ripley’s K to filter the extracted tourist attraction names. Finally, we combine road network data and polygons generated using the chi-shape algorithm to construct the vague cognitive regions of each scenic spot. The results show that the classification indicators of our proposed tourist attraction name extraction model are significantly better than those of previous toponym extraction models and algorithms (precision = 0.7371, recall = 0.6926, F1 = 0.7141), and the extracted vague cognitive regions of tourist attractions also generally conform to people’s habitual cognition.
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Nurfadilah, Nurfadilah, Moh Mustakim, Auliansyah Auliansyah, Paulus Taru, and Minullah Amirul Amin. "Strategi Komunikasi dalam Pengembangan Wisata Edukasi Laut Bagi Wisatawan Remaja di Pulau Malahing Kota Bontang." Lok Seva: Journal of Contemporary Community Service 2, no. 1 (June 16, 2023): 25. http://dx.doi.org/10.35308/lokseva.v2i1.7390.
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Traveling is an activity that can entertain and calm the heart and mind, so tourism activities are needed. Indonesia is very well known as a tourist spot, one of which is a tourist location that is a mainstay of tourism in the City of Bontang, namely Malahing Island. Malahing Island is one of the tourist sites in East Kalimantan and has many tourist objects. However, the management of tour packages is still based on entertainment for tourists. Therefore this service is carried out as a form of socialization of marine tourism education on Malahing Island so that tourists can add insight into the sea through tourism education. The activities include outreach to young tourists regarding maritime biota tourism education and introducing tourist attractions on Malahing Island. The outreach results regarding educational tourism found that in the category of understanding, as much as 77% of teenage tourists understood the content of socialization, and 23% in the type very well understood the socialization results. In contrast, the educational tourism interest survey results found that 69% were interested in traveling using the educational method, and as many as 31% of tourists were very interested. Young tourists are interested in traveling because educational tours can add insight to tourists indirectly. After all, the entertainment provided can be valuable as insightful information about marine tourism education.
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Gunadi, Made Adhi, Annisa Rahma Pramitha, and Meizar Rusli. "Development of cultural tourism product in Taman Mini Indonesia Indah." Journal of Business on Hospitality and Tourism 1, no. 1 (December 28, 2015): 17. http://dx.doi.org/10.22334/jbhost.v1i1.2.
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Indonesian cultural resources according to the World Economic Forum is ranked 38 of 140 countries. One of the tourist destinations in Indonesia that use cultural resources as tourist attraction is Taman Mini Indonesia Indah (TMII). Along with the modernization of tourist interest, TMII establish cooperation to develop new tourist attractions. However, activities of majority tourists during their visit to TMII is just walking around, take pictures, recreation, or sport. Tourists cultural tourism experience are lack, whereas TMII have vision to be the leading of cultural tourism destination. This research aimed to identify the concept of cultural tourism products that can be applied in TMII based on tourists motivation, tourism attraction in TMII, and activities in demand by tourists. This research used descriptive method with qualitative approach. Results of data analysis show that the physical or physiological motivation is the highest motivation chosen by the respondents, tourism attraction that gets the highest score is the architecture, and the activity of interest is sightseeing activities. These three variables are matched with the criteria of socio-cultural tour and two things that forming total experience. Hence, this research proposed a formula of tourism product that can be applied and promoted in TMII as a cultural tourism program, so that tourists can get physical activity in the spot that has architecture attraction, and provide more cultural tourism experience but still superficial.Indonesian cultural resources according to the World Economic Forum is ranked 38 of 140 countries. One of the tourist destinations in Indonesia that use cultural resources as tourist attraction is Taman Mini Indonesia Indah (TMII). Along with the modernization of tourist interest, TMII establish cooperation to develop new tourist attractions. However, activities of majority tourists during their visit to TMII is just walking around, take pictures, recreation, or sport. Tourists cultural tourism experience are lack, whereas TMII have vision to be the leading of cultural tourism destination. This research aimed to identify the concept of cultural tourism products that can be applied in TMII based on tourists motivation, tourism attraction in TMII, and activities in demand by tourists. This research used descriptive method with qualitative approach. Results of data analysis show that the physical or physiological motivation is the highest motivation chosen by the respondents, tourism attraction that gets the highest score is the architecture, and the activity of interest is sightseeing activities. These three variables are matched with the criteria of socio-cultural tour and two things that forming total experience. Hence, this research proposed a formula of tourism product that can be applied and promoted in TMII as a cultural tourism program, so that tourists can get physical activity in the spot that has architecture attraction, and provide more cultural tourism experience but still superficial.
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Pang, Zhu Dan. "Research on Low-Carbon Tourist Spot Development Based on Environmental Capacity Control: A Case Study on Mt. Longquan in Chengdu." Advanced Materials Research 573-574 (October 2012): 918–22. http://dx.doi.org/10.4028/www.scientific.net/amr.573-574.918.
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Abstract. A low-carbon tourist spot comprises primarily three of its main aspects: natural environment, tourism facilities and the tourist spot management system. Based on the ecotourism development experience of Mt. Longquan Ecotourism Functional Zone in Chengdu, this article intends to cite the environmental capacity theory to study low-carbon tourism development and help maintain an optimal balance between environmental quality and tourist-generated carbon emission by taking such steps as environmental capacity balancing and control.
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Chen, Yen-Chiu, Kun-Ming Yu, Tzu-Hsiang Kao, and Hao-Lun Hsieh. "Deep learning based real-time tourist spots detection and recognition mechanism." Science Progress 104, no. 3_suppl (July 2021): 003685042110442. http://dx.doi.org/10.1177/00368504211044228.
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More and more information on tourist spots is being represented as pictures rather than text. Consequently, tourists who are interested in a specific attraction shown in pictures may have no idea how to perform a text search to get more information about the interesting tourist spots. In the view of this problem and to enhance the competitiveness of the tourism market, this research proposes an innovative tourist spot identification mechanism, which is based on deep learning-based object detection technology, for real-time detection and identification of tourist spots by taking pictures on location or retrieving images from the Internet. This research establishes a tourist spot recognition system, which is a You Only Look Once version 3 model built in Tensorflow AI framework, and is used to identify tourist attractions by taking pictures with a smartphone's camera. To verify the possibility, a set of tourist spots in Hsinchu City, Taiwan is taken as an example. Currently, the tourist spot recognition system of this research can identify 28 tourist spots in Hsinchu. In addition to the attraction recognition feature, tourists can further use this tourist spot recognition system to obtain more information about 77 tourist spots from the Hsinchu City Government Information Open Data Platform, and then make dynamic travel itinerary planning and Google MAP navigation. Compared with other deep learning models using Faster region-convolutional neural networks or Single-Shot Multibox Detector algorithms for the same data set, the recognition time by the models using You Only Look Once version 3, Faster region-convolutional neural networks, and Single-Shot Multibox Detector algorithms are respectively 4.5, 5, and 9 s, and the mean average precision for each when IoU = 0.6 is 88.63%, 85%, and 43.19%, respectively. The performance experimental results of this research show the model using the You Only Look Once version 3 algorithm is more efficient and precise than the models using the Faster region-convolutional neural networks or the Single-Shot Multibox Detector algorithms, where You Only Look Once version 3 and Single-Shot Multibox Detector are one-stage learning architectures with efficient features, and Faster region-convolutional neural networks is a two-stage learning architecture with precise features.
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Liu, Haonan. "Research on the Relationship between Service Quality of Scenic Spots, Tourism Experience and Behavior Intention: Based on Taierzhuang Ancient City." Scientific and Social Research 3, no. 5 (November 3, 2021): 43–50. http://dx.doi.org/10.36922/ssr.v3i5.1194.
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As an important carrier and symbol of cultural memory, the ancient city is not only an important place to construct and inherit historical culture, but also the most important cultural tourism destination today. The ancient city of Taierzhuang, known as the “No. 1 Village in the World,” is a famous 5A tourist attraction in China. It combines “canal culture” and “war culture” and has a strong international recognition. This study uses tourists in the historic city of Taierzhuang as the research object, and examines the link between the scenic spot’s service quality, tourists’ tourism experience, and tourists’ behavioral intention. The findings reveal that the scenic site service quality has a significant positive impact on tourist experience and behavioral intention, and that tourist experience has a significant positive impact on tourist behavioral intention. This study proposes various development ideas based on the research findings in order to increase the core competitiveness of the Taierzhuang ancient city scenic spot.
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Liu, Zhong Wen, and Peng Zhao Gao. "Study on Development Model of Low-Carbon Tourist Scenic Spot." Advanced Materials Research 573-574 (October 2012): 897–901. http://dx.doi.org/10.4028/www.scientific.net/amr.573-574.897.
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With the development of the tourism industry, tourist attraction is one of the most important core elements. And low-carbon development plays an increasingly important role. Based on analysis of the status of low-carbon tourism, this paper designs a low-carbon development model of tourist scenic spot, including the “four-wheel drive " development strategy model, intelligent design patterns and digital integrated management mode. These models are interrelated to promote the construction of low-carbon tourist attractions, which points out the direction for low-carbon tourist scenic spots.
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Wahyuni, Erly, Abdi Fithria, and Siti Saidah. "PERSEPSI WISATAWAN TERHADAP OBJEK WISATA DURIAN DI DESA BIIH KECAMATAN KARANG INTAN KABUPATEN BANJAR PROVINSI KALIMANTAN SELATAN." Jurnal Sylva Scienteae 3, no. 5 (November 29, 2020): 845. http://dx.doi.org/10.20527/jss.v3i5.2533.
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Durian tourism objects in the village of Biih have natural potential as a tourism attraction. This tour is interesting because it only exists in the durian season. The purpose of this study was to determine the perception of tourists visiting durian tourism objectsand get information as a reference for the development of durian tourism objects. The method used is direct observation to the field by conducting interviews with tourists in accordance with the contents of the questionnaire. Based on information from tourists who are respondents namely cleanliness and public facilities that exist in durian tourism is not good, while for road access, tourist attraction, and security there is enough. Based on the rating category of the perception rating of tourists towards the development of durian tourism objects in the village it is classified into the medium category. Durian tourism in the village is a newly developed tourist spot and still requires special attention to be further developed. There are still many things that must be developed from durian tourism both from road access to the location ad facilities provided and also the cleanliness of tourist attractions.Keywords: Perception; Traveler; Durian tourism objects.
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Nasution, Sukma Septian, Laksmy Ady Kusumoriny, and Setiana Sri Wahyuni Sitepu. "ENGLISH FOR TOURISM UNTUK PEDAGANG DI KAWASAN PANTAI BANDULU UNTUK MENINGKATKAN KEMAMPUAN KOMUNIKASI JUAL BELI." Journal of Community Research and Service 6, no. 2 (July 30, 2022): 163. http://dx.doi.org/10.24114/jcrs.v6i2.37495.
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Community service underpinned within English for tourism is rarely conducted to the practitioners. Whereas, it is urgent to do that residents living in the tourism spots and are intensely mingled in the tourism services need knowledge and skills in both communication and tourism insights. These skills will be helpful for them to interact more potential tourists to come. One of them is the tourist attraction of Bandulu beach, Anyer, Banten. In connection with this, concrete steps to provide practical English training for residents around the tourist area must be implemented immediately to improve English proficiency which is one of the reasons why the tourists visit the tourist attraction. Local government data states that only 1-5% of visitors to Bandulu beach tourism are foreign tourists. That is, if in 1 month there are 1000 visitors then only 10 to 50 foreign tourists. In fact, Wiyatno (2013) stated that foreign tourist visits to Indonesia have increased almost every year. The potential number of foreign tourists should be supported by human resources with tourism insight and proficiency in foreign languages, especially good English so that communication with general English in the tourism sector can be carried out. Master, P. (1998,) said the need for mastery of English is increasing along with the need for professionals in the tourism sector. From the results of a brief interview with one of the food vendors on Bandulu Beach, communication failures often occur when foreign tourists ask for information on traditional Betawi food available around this tourist spot. The limitations of the surrounding community to communicate in English made foreign tourists not get a satisfactory answer. This problem will have a negative impact in the form of a lack of interest in the tourist attraction, especially for foreign tourists. therefore, English for Tourism for traders in Bandulu Beach is urgent to be implemented.
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Mengku Marhendi. "Citra Masyarakat Dan Wisatawan Terhadap Daya Tarik Wisata Di Kota Semarang." Gemawisata: Jurnal Ilmiah Pariwisata 18, no. 3 (September 22, 2022): 207–19. http://dx.doi.org/10.56910/gemawisata.v18i3.276.
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Tourism is a social phenomenon involving humans, groups, organizations and culture. Despite the fact that initially tourism was seen more as an economic activity, and the main goal of developing tourism was to gain economic benefits for both the community and the country. But in its journey tourism is not only an economic problem, but also a social, cultural and political problem. Therefore, as an activity that is very dynamic and a phenomenon that is complex and has a major influence on human life and society, tourism needs to be studied and understood continuously in a comprehensive manner from various perspectives of scientific disciplines, one of which is social science.
This study seeks to analyze the image of the public and tourists towards tourist attractions in the city of Semarang. The subjects of this study were 8 (eight) local people and 8 (eight) tourists. Collection and processing of data using qualitative research methods.
The results found that people and tourists: (1) observe tourist attractions in detail to complete their curiosity; (2) feel that a tourist attraction has beautiful scenery that creates a feeling of pleasure, comfort and awe; (3) visiting a tourist attraction with a plan, circling the entire area of the tourist attraction and intending to visit it again; (4) image of a tourist attraction: original and has natural beauty, various attractions are available, there are features that make the tourist attraction rare and unique, and there are facilities and infrastructure that support the tourist attraction to become a worthy tourist spot visited and visits to tourist attractions in the sense of benefit.
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Yoga, Irsyad, and I. Gede Agus Yudiarta. "Grey Forecasting of Inbound Tourism to Bali and Financial Loses from the COVID-19." International Journal of Grey Systems 1, no. 1 (July 28, 2021): 48–57. http://dx.doi.org/10.52812/ijgs.17.
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Management and planning in the Indonesian tourism industry is an important matter. It involves responding to changes and uncertain conditions, especially in the tourism industry sector in Bali, Indonesia. Bali is a tourist spot that relies on foreign tourists. When a situation is not conducive, such as the COVID-19 outbreak that befell unexpectedly, proper management and planning are challenging without accurate forecasts. The current study used the Even Grey Forecasting model EGM (1,1,α,θ) to forecast the number of tourists to Bali, a famous tourist spot in Indonesia, and the approximate financial loss incurred from the pandemic in 2020 is quantified. These objectives are achieved through the data collected from the Bali statistical agency and analyzed through the grey model and some mathematical computations. The results indicated that the pandemic's impact on inbound tourism was severe, and the economy needs some time to recover. The study reported a loss of more than $7.3 billion to Bali due to the COVID-19 outbreak. It is possibly the first study of its kind, and its findings are important for the policy-makers, Tour & Travel service providers, and tourism-related businesses.
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Lv, Hengxiu. "Construction of a Virtual Reality Model of Smart Tourism Scenic Spot Based on Cloud Computing." Mathematical Problems in Engineering 2022 (May 5, 2022): 1–11. http://dx.doi.org/10.1155/2022/5833861.
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This paper studies the technology and cloud platform of “cloud computing” in detail. Technically, this paper studies Map-Reduce, HDFS, and BigTable in cloud platform technology. Using the theoretical thinking of comprehensive advantages, the design ideas and principles of the smart tourism service model based on the network platform are proposed, and the overall architecture of the smart tourism service model based on the network platform is constructed according to the three dimensions of the tourist demand level, network platform development stage, and service resource aggregation and integration. The virtual network interaction platform is realized through Unity3D combined with Web3D technology, and the system interaction function is realized according to the communication principle of the front and back of the web page, including the fast switching of scenic spots, the selection of roaming methods, and the realization of navigation maps. In the user evaluation stage, usability and user satisfaction of the system were effectively measured by the SUS system usability scale and the heuristic experiment combined with Likert scale. The virtual reality system of smart tourist attractions based on somatosensory interaction integrates immersion, interactivity, gameplay, education, and dissemination. It can break the time and space barriers for the creation and experience of smart tourist attractions, improve the extremely cold experience environment of smart tourist attractions, increase the display and publicity dimensions of smart tourist attractions, change the situation of one-way passive reception of traditional smart tourist attractions, and improve the interaction and interaction of tourists. It also provides new teaching and design methods for creators of smart tourism scenic spots, which is conducive to the promotion of teaching in smart tourism scenic spots. It enhances the importance of ice and snow culture in the ice and snow industry, changes the traditional business model of ice and snow scenic spots, and uses modern technology to make up for the cultural development defects of smart tourism scenic spots. The digital sustainable development construction of smart tourism scenic spots provides new ideas.
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V, Kande Trupti. "Survey Paper on Recommendation System for Tourist Reviews using Aspect Based Sentiment Classification." International Journal for Research in Applied Science and Engineering Technology 9, no. VIII (August 15, 2021): 821–24. http://dx.doi.org/10.22214/ijraset.2021.37450.
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The tourism and travel sector is trying to provide different facility using a large amount of data collected from different tourism web sites. The tourist easily retrieves to reviews, evidence of different tourists and accesses them properly. It helps tourists have made the planning of visit to tourism place. So that, a major challenge faced by tourism sector is to utilize the accumulate information for detecting tourist preferences. Unfortunately, some user's comments are irrelevant and complex for understanding and long-winded these become hard for recommendation. Aspect based sentiment classification methods have shown promise in overcome the issue. In existing not much work on aspect based sentiment with classification. Here in this paper represents a framework of aspect based sentiment classification recommendation system that will not only identify the aspects very efficiently but can perform classification task with high accuracy using machine learning algorithms. This framework helps tourists to find better tourist spot, hotels, restaurant and resort in a city, and here performance has been evaluated by conducting experiments on Yelp and foursquare real-time datasets.
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Lv, Hengxiu. "A Design of the Ecotourism Individualized Route Planning System Based on the Ecological Footprint Model." Computational Intelligence and Neuroscience 2022 (June 22, 2022): 1–11. http://dx.doi.org/10.1155/2022/6342696.
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In this study, aiming at the huge amount of information in the tourism field, the pressure of ecological environment, and tedious personalized route planning, an ecotourism personalized route planning system based on the ecological footprint model is designed. In order to recommend routes that meet the time limit and the starting and ending points of the user’s choice, the tourist route recommendation problem is studied as a directional problem on the basis of comprehensively considering the popularity of scenic spots and the user’s interest preferences as the scenic spots score. The scenic spot scoring strategy is scenic spot scoring, and the iterative local search strategy is used to plan tourist routes according to the optimization goal with the largest route score, and improve the real tourist routes, food, and accommodation strategies. On the basis of launched tourist routes, they recommend tourists’ favorite food and accommodation. The model finally completes the fine arrangement of scenic spots, food, and accommodation in the whole tourist route. The system test results show that the system has obvious advantages in personalized path planning effect, excellent user feedback effect, and certain application value.
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Astuti, Nuryunia, Yusrini Hidayati, Muhammad Jimli Assidiqi, and Faturrahman. "Pembuatan Papan Penunjuk Arah Sebagai Fasilitas Penunjang Penanda Lokasi Destinasi Wisata di Desa Wisata Kembang Kuning, Kecamatan Sikur, Lombok Timur." Jurnal Pengabdian Magister Pendidikan IPA 5, no. 3 (September 27, 2022): 318–22. http://dx.doi.org/10.29303/jpmpi.v5i3.2007.
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The Kembang Kuning tourism village has a diversity of natural resources and local culture which is one of the advantages of the village as a tourist attraction. Limited supporting facilities are one of the obstacles for tourists to visit the Kembang Kuning village tourist spot. The purpose of this activity is to design and make elegant signposts to be placed in tourist spots in Kembang Kuning Village. The activity stages include discussions and equalization of perceptions with tourism awareness groups, surveys of tourist spots, design, manufacture and installation of signposts. The results of the discussion agreed that the signposts were made in 2 categories, namely the signposts that were placed in each hamlet and the signposts that were installed at the tourist sites. The signposts for each hamlet are only made of 1 plank with a 1-way wood motif, while the signboards for tourist spots are made of several wooden patterned boards and contain some basic information on the relevant tourist spots. The signposts have been installed at 28 points. The presence of these signposts is expected to be useful for visiting tourists and make it easier for them to get information about the location of the tourist attraction to be addressed
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Lumbantobing, Nia Shantian, and Susiana. "Confirmatory Factor Analysis to Measure the Satisfaction Level of Air Soda Tourists in North Tapanuli." Formosa Journal of Science and Technology 2, no. 2 (February 27, 2023): 475–92. http://dx.doi.org/10.55927/fjst.v2i2.2859.
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Soda Water Tourism Object (WAS) in North Tapanuli is a bathing tourism area that has the potential to continue to develop. In the development of a tourist spot it is necessary to pay attention to the level of tourist satisfaction. The purpose of this study was to determine the level of satisfaction and the factors that influence the level of satisfaction in WAS. The method used to measure it is Confirmatory Factor Analysis (CFA) to test whether the model built has a relationship with the factors formed. The results showed that the level of satisfaction of WAS tourists was 69.132% or at the level of quite satisfied and the factors that influence the level of satisfaction were service factors, image of tourist attractions, clear information, responsiveness, comfort, facilities, problem and cost handling, natural resources and unique tourist spots.
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Kurniawati, Indri, Sumariyanti Sumariyanti, and Guntur Guntur. "Survei Dan Minat Wisatawan Berkunjung Ke Salah Satu Potensi Wisata Olahraga Di Yogyakarta." JURNAL DESTINASI PARIWISATA 11, no. 1 (June 30, 2023): 11. http://dx.doi.org/10.24843/jdepar.2023.v11.i01.p02.
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The development tourism, is not only about refreshing but also activity of sport can be included in tourism. The impact of pandemic covid-19, has influenced the development of sport tourism in Indonesia. Yogyakarta, one of the most tourism destination, has many kinds of sport tourism spot. The reasons which can influence tourist arrival in a destination are tourists’ motivation. This research aims to know the domestic tourist’s motivation in visiting one sport tourism destination called Tankaman Natural Park in Kaliurang, Hargobinangun. This research applies the survey method and descriptive analysis with a quantitative approach. The data is obtained by distributing questionnaires, conducting the interview, and doing direct observation. The sample of this research is the domestic tourists. The research shows the motivation of domestic tourists visit to Tankaman Natural Park are dominantly fantasy motivation that the tourists could escape from their routines to seek comforts and hang out with family. And the second is to get physical activity by doing sport in tourism destination.
Keywords: tourist motivation, sport tourism, tourism product
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Baharta, Edwin, Suryana Heryawan Achmad, Astri Wulandari, and Dandy Marcelino. "Tourist Preferences in Culinary during Covid-19 Pandemic in Bandung." Jurnal Kawistara 12, no. 1 (June 8, 2022): 135. http://dx.doi.org/10.22146/kawistara.70605.
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Tourism is one of the areas that is badly affected by the Covid-19 pandemic and this includes culinary tourism. However, shifts in culinary preference during the pandemic also give a new life in culinary tourism. Bandung, one of Indonesia’s major tourist destination, shows a potential to develop further in its culinary tourism during the pandemic. This however requires a proper strategy through identifying the preferences of tourists in choosing culinary tourism during the pandemic. This research provides a knowledge base for culinary tourism business people regarding tourist preferences in a pandemic situation like today. Data about the preferences of tourists can help culinary tourism business people to develop the right strategy to serve tourists in future and can design the right policies and strategies to respond the expectations and desires of tourists, especially culinary tourism in Bandung. With a sample size of 400 respondents, this study is a descriptive quantitative study employing the conjoint analysis approach, which is the most popular methodology to analyzing tourist preferences. This research found that the possibilities of travelers preferences when travelling Bandung as culinary vacation spot in pandemic are as follows. The aspect of selecting culinary products based on tourist facilities is the preference of tourists in COVID-19 pandemic. Meanwhile, the location of culinary with consideration of easy access or reach becomes choice of tourists in pandemic, in addition to the important of health protocols the cleanliness of locations. Finally, the priority score analysis found that the culinary product selection element has the greatest importance level among the other features.
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Wang, Jingbo, Yu Xia, and Yuting Wu. "Sensing Tourist Distributions and Their Sentiment Variations Using Social Media: Evidence from 5A Scenic Areas in China." ISPRS International Journal of Geo-Information 11, no. 9 (September 17, 2022): 492. http://dx.doi.org/10.3390/ijgi11090492.
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The distribution and sentiment characteristics of tourists directly reflect the state of tourism development, and are an important reference for tourists to choose scenic areas. Sensing the tourist distributions and their sentiment variations can provide decision support for the development planning of scenic areas. In this study, we crawled tourist social media data to explore tourist distribution characteristics and the patterns of tourist sentiment variations. First, we used web crawlers to obtain social media data (tourist comment data) and the location data of China’s 5A scenic areas from the Ctrip tourism platform. Second, SnowNLP (Simplified Chinese Text Processing) was optimized and used to classify the sentiment of tourists’ comments and calculate the sentiment value. Finally, we mined the distribution characteristics of tourists in 5A scenic areas and the spatio-temporal variations in tourists’ sentiments. The results show that: (1) There is a negative correlation between the number of tourists to China’s 5A scenic areas and tourist sentiment: the number of tourists is highest in October and lowest in March, while tourist sentiment is highest in March and lowest in October. (2) The spatio-temporal distribution of tourists has obvious aggregation: temporally mainly in July, August and October, spatially mainly in the Yangtze River Delta city cluster, Beijing-Tianjin-Hebei city cluster, and Guanzhong Plain city cluster. (3) Tourist sentiment cold/hot spots vary significantly by city clusters: the Yangtze River Delta city cluster is always a sentiment hot spot; the northern city cluster has more sentiment cold spots; the central city cluster varies significantly during the year; the southwestern city cluster has more sentiment hot spots.
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Chen, Chi, Chao Chen, and Xiao Long Sun. "Application of GIS Digital Technology in Planning of Tourism Scenic Spot." Applied Mechanics and Materials 204-208 (October 2012): 2796–99. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2796.
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Rationalization of modern tourist scenic spot planning is very important to the development of the whole scenic area, and the rational planning of tourism resources of scenic area is based on the full development of resources, then making the systems be optimized in the scenic area. When applying GIS technology to urban tourism scenic spot, the distribution of tourism resources will be more reasonable. The application of GIS network analysis function on traffic planning and underground pipeline planning, which achieve programming optimization, and then doing three-dimensional visualization for network planning, clearly analysis the planning rationality. The superiority of GIS spatial analysis functions makes the tourist scenic spot planning optimization in low-cost, and also provides a good platform for the operation and management of scenic area.
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Yulianto, Atun, and Erlangga Brahmanto. "Favorite Photo Spot for Models of Tourist Destinations and Trends for Tourist Selfies in Special Region of Yogyakarta." TRJ Tourism Research Journal 7, no. 1 (April 14, 2023): 51. http://dx.doi.org/10.30647/trj.v7i1.206.
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The growth in the number of tourists to the Special Region of Yogyakarta by students or the current millennial generation is an opportunity for managers of tourist destinations to develop visual spaces that support tourists' desire to take selfies. The purpose of this study is to find out which photo spot models are most in demand by tourists. This study employs a qualitative descriptive method supplemented by a survey, with the photo spot model serving as the research object and a quota sample of 100 tourists who have visited Yogyakarta's Special Region. Data collection system for sampling using a simple random sampling method and polling technique. The results of this study are tourist interest in photo spots that combine nature and man-made in an outdoor tourist destination that has a mountainous landscape and cultural customs of the local community with their distinctive traditions.
Keywords: Photo Spots, Selfies, Tourist Destinations
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Wang, Yue, Zhaoxiang Qin, Jun Tang, and Wei Zhang. "Optimization of Digital Recommendation Service System for Tourist Attractions Based on Personalized Recommendation Algorithm." Journal of Function Spaces 2022 (September 12, 2022): 1–9. http://dx.doi.org/10.1155/2022/1191419.
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With the deepening of tourists’ demand for tourism services, the personalization of online tourists has gradually become an application of personalized recommendation technology. According to the application requirements of personalized scenic spot recommendation, this paper uses social networks and Bayesian networks to fully mine the matching degree between users and scenic spots for personalized recommendation. Add social network factors to the recommendation of tourist attractions, and fully tap the social network relationship between users. First, the users are clustered by the coupling bidirectional clustering algorithm. Then, DBSCAN (density-based noise application spatial clustering) algorithm is used to cluster scenic spots. Finally, two stable user sets and scenic spot sets are applied to the personalized recommendation algorithm to predict the user’s next upcoming scenic spot. The algorithm is compared with some traditional algorithms in the dataset. The algorithm deals with the similarity of user attributes and user behavior and uses content-based algorithm to deal with the relationship between scenic spots; com datasets have better performance.
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Anam, Khairil, and Ony Dwi Hartono. "Aplikasi Pemandu Pencarian Wisata Terdekat Berbasis GIS Android Dengan Algoritma Dijkstra." J-SAKTI (Jurnal Sains Komputer dan Informatika) 3, no. 1 (March 4, 2019): 91. http://dx.doi.org/10.30645/j-sakti.v3i1.99.
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Sumenep Regency is one of the districts on Madura Island where the tourism sector is experiencing rapid development and improvement. Sumenep Regency has a natural and cultural tourist attraction, making it a destination for tourists. Not only is the attraction of the culture of his cow easy, but Sumenep Regency has a very beautiful natural attraction. The condition of natural tourism consists of natural scenery, high hills, beaches, high asta and diversity of marine potential. One of the popular tourist objects is Pantai Pantai Sembilan, Gili Labak Island and Gilii which have the best oxygen levels in the world. Tourists from outside the region, especially those who first visited Sumenep Regency will have a little difficulty in accessing tourist attractions in this city because they do not know in detail the information about the location of these tourist attractions. The purpose of this research is to build an Android-based Geographical Information System using the Dijkstra Algorithm, which is expected to help tourists from outside the Sumenep City area in displaying routes from one tourist spot to another. The method that is the basis for designing this GIS is the Graph Method, by applying the shortest route search algorithm, Dijkstra's Algorithm. The expected results with this application are that it can help, simplify, and accelerate tourists in finding and obtaining information about the location of tourist attractions in Sumenep Regency. Based on the closest travel search trials using the Android Application it produces an accuracy of 95%.
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Berreghioua, Fatima, and Boudjamea Khalfallah. "Towards sustainable tourism panning in Bou Saâda, Algeria." Glasnik Srpskog geografskog drustva 102, no. 2 (2022): 267–82. http://dx.doi.org/10.2298/gsgd2202267b.
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The city of Bou Sa?da is one of the Algerian cities that have diverse tourism resources, but it has not been adopted as a premier tourist spot nor has it benefited from the tourism programs established within the national strategy for sustainable tourism development for Horizons 2030, which made the tourism weak compared to other Algerian regions that have similar tourism elements. This study aims to evaluate the existing tourism strategy to address the shortcomings and provide solutions by focusing on four variables: tourist destination, tourism industry, the tourist market, and actors in tourism. We have relied on the following techniques: SWOT analysis to identify the strengths, weaknesses, opportunities, and threats of the tourism sector in Bou Sa?da, MCDA Analysis using AHP for spatial planning for the future tourism industry, and a questionnaire form distributed to the residents, the tourists and the experts to take their suggestions and use them in guiding the tourism planning process. The results of the study proved that there is a weakness in the tourism planning process in the city of Bou Sa?da, which negatively affects the tourism traffic, that is still weak compared to the qualifications it has, which if exploited according to a wellthought-out strategy, the city will become a targeted tourist destination.
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Asor, Jonardo R., Gene Marck B. Catedrilla, Cris Q. De Leon, and Sharon L. Ramos. "Implementation of tourism circuit concept in an android-based tourist navigation application through A* algorithm." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 2 (November 1, 2021): 986. http://dx.doi.org/10.11591/ijeecs.v24.i2.pp986-992.
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Circuit tourism allows for inclusive growth of tourism since it allows for multi-site visits. Normally three or more tourist attractions are linked together in a tour of the tourist’s choosing. The main objective of this study is to develop an android-based application for searching tourist spots in Los Baños, Laguna, Philippines that is also capable of recommending succeeding places to visit using A* algorithm. Upon development of the application, this paper proves that A* algorithm can be used to recommend another tourist spot by analyzing the distance of the tourist spots near the user, and the most convenient routes through which they can be reached. Based on backward and forward compatibility testing, the application is operating system friendly, since it can be used in lower versions of android. Further, it is shown in the users’ evaluation that the application is acceptable to the locals of Los Baños, Laguna, Philippines. The application also contributes to advertising other tourist spots in the said municipality, specially those who were not so popular to the tourists.
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Lu, Jing. "Personalized Recommendation Algorithm of Smart Tourism Based on Cross-Media Big Data and Neural Network." Computational Intelligence and Neuroscience 2022 (June 26, 2022): 1–11. http://dx.doi.org/10.1155/2022/9566766.
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Accurate recommendation of tourist attractions is conducive to improving users’ travel efficiency and tourism experience. However, the choice of tourism feature factors and the difference of recommendation algorithm will affect the accuracy of scenic spot recommendation. Aiming at the problems of sparse data, insufficient tourism factors, and low recommendation accuracy in the existing tourism recommendation research, this paper puts forward a scenic spot recommendation method based on microblog data and machine learning by using the characteristics of personalized expression and strong current situation of microblog data and the intelligent prediction function of machine learning, so as to realize accurate and personalized scenic spot recommendation. This paper extracts rich tourism characteristic factors. Typical tourism recommendation algorithms choose tourism characteristic factors from scenic spots, tourists, and other aspects, without considering the travel time, tourism season, and other contextual information of tourists’ destination, which can help understand users’ tourism preferences from different angles. Aiming at the problem of sparse data and cold start of collaborative filtering recommendation algorithm, this paper introduces deep learning algorithm and combines the proposed multifeature tourism factors to build dynamic scenic spot prediction models (random forest preferred attraction prediction (RFPAP) and neural networks preferred attraction prediction (NNPAP)). The experimental results show that RFPAP and NNPAP methods can overcome the problem of data sparsity and achieve 89.61% and 89.51% accuracy, respectively. RFPAP method is better than NNPAP method and has stronger generalization ability.
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Rizaldy, Mohammad Febrian Gamma, and Ida Bagus Suryawan. "Studi Daya Dukung Fisik Wisata Bahari Usat Liberty Wreck Di Desa Tulamben Bali." JURNAL DESTINASI PARIWISATA 7, no. 1 (July 1, 2019): 163. http://dx.doi.org/10.24843/jdepar.2019.v07.i01.p24.
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Marine tourism activities are feared to give pressure through tourists’ crowds who visit to USAT Liberty Wreck as the main attraction in Tulamben. The utilization should be not undermining the quality of physical attraction and the tourist comfortness.
Research is conducted to find out the ability of physical carrying capacity on this popular dive spot. Qualitative and quantitative data are collected by observation in land and underwater, depth interview with interviewess and literatures study. Then Data is processed by stages: (1)data reduction, (2)data explanation and (3)verification. Research begins by mapping of marine tourism activity in Tulamben.
The result of calculating physical carrying capacity in USAT Liberty Wreck is 306 person consisting of 102 dive guide and 204 tourist in static condition on diving space at same time, compared to the amount of tourist arrival in 2014 for 173 person per day. In conclusion, tourist arrival does not exceed capability of physical carrying capacity USAT Liberty Wreck.
Key words: Pyshical Carrying Capacity, Marine Tourism, USAT Liberty Wreck
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Luh Putu Pusparini, Putu Agus Prayogi, and Ni Wayan Mekarini. "MOTIVASI DAN PERSEPSI WISATAWAN YANG BERKUNJUNG KE DAYA TARIK WISATA PANTAI PENIMBANGAN DI KABUPATEN BULELENG." Journal of Tourism and Interdiciplinary Studies 2, no. 1 (July 1, 2022): 41–51. http://dx.doi.org/10.51713/jotis.v2i1.68.
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The purpose of this study was to determine the motivation and perceptions of tourists visiting the tourist attraction of Penimbangan Beach in Buleleng Regency. The research method used in this research is descriptive qualitative. In this study, data collection was carried out by observation, interviews with resource persons, and distributing questionnaires to 55 tourists using incidental sampling technique in which 31 statements down. The questionnaire given consists of thirteen statements regarding tourist motivation which refers to the theory of push and pull motivation. These push factors and pull factors are actually internal and external factors that motivate tourists to make decisions to travel, as well as eighteen statements regarding tourist perceptions that refer to the Tourism Destination Attributes theory (4A), namely attraction, amenities, accessibility and ancillary services. The research found out 2 conclusions, such as (a) aspect of push and pull motivations that get the highest score are because visitors want to do recreation while swimming and to visit modern spot as well as contemporary hangouts. (b) Meanwhile, the perception of tourists on the attributes of tourist destinations (4A) in the tourist attraction of Penimbangan Beach in Buleleng Regency is that Penimbangan Beach is one of the unique tourist attractions, equipped with adequate facilities, very easy access to achieve, but not yet supported by sources of information and organization but still incomplete tourist attraction management.
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Juliano, Harry Wira, Hanifa Fahri, Prama Hardika, R. A. Dhea Ayu, Fahrezzy Dwitama, and Liliana Dewi. "PENGARUH ATRAKSI, AMENITAS, DAN AKSESIBILITAS TERHADAP KEPUASAN PENGUNJUNG DI CAMPING GROUND GAYATRI CITEKO." Jurnal Manajemen Perhotelan dan Pariwisata 5, no. 3 (December 14, 2022): 273–77. http://dx.doi.org/10.23887/jmpp.v5i3.51007.
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The purpose of this research is knowing the effect of attractions, amenities, Accessibility to Satisfaction Visitors Tourists in Camping Gayatri Citeko Ground. Inside approach This research is a quantitative approach with the survey method with distribute 50 questionnaires to 50 respondents. Researchers use Techniques data collection through interviews and questionnaire. While this research method in the form of variable operationalization. The results showed that Attraction variable has an effect on tourist interest. Attractions that is at Camping Ground Gayatri has attraction to tourists so that able to have an impact on interest tourist visitors. The accessibility consists of the availability of car transportation jeep, good road conditions can impact on interest tourist visitors. Amenity owned by the Gayatri Camping Ground which consisting of accommodation, rental camping tent, toilet, spot for Outbound, spot for jeeps, places worship, and Camping Ground guards able to have an impact on interest tourist visitors.
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Liu, Kainan, Meiyun Zhang, and Mohammed K. Hassan. "Intelligent image recognition system for detecting abnormal features of scenic spots based on deep learning." Journal of Intelligent & Fuzzy Systems 39, no. 4 (October 21, 2020): 5149–59. http://dx.doi.org/10.3233/jifs-189000.
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To monitor the scene anomaly in real-time through video and image and identify the emergencies, try to respond quickly at the beginning of the emergency and reduce the loss. This paper mainly focuses on the realization of the image recognition system for the anomalous characteristics of tourism emergencies. The problem is to study the number of people in the scenic spot based on scenic spot monitoring. The video-based population anomaly monitoring method has improved the AUC index of the W-SFM method by 0.423, and the AUC has increased by 0.0844 compared with the optical flow method; Degree-enhanced algorithm (BCOF), by grasping the micro-blog data related to the scenic spot, comprehensively predicts the overall comfort of the current tourists in the scenic spot, and establishes a tourist state expression model. Compared with the BN algorithm and the NEG algorithm, the BCOF algorithm is the accuracy and the recall rate of tourists in the scenic spots was improved by 14% and 18% respectively. The image recognition system of tourism emergency anomaly was established, and the early warning model of tourism emergency based on group intelligence perception was used to implement early warning on scenic spots. Monitoring, can achieve an overall accuracy of 83.33%, the model has a strong predictive ability, and achieves a scenic spot Real-time monitoring of events.
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Irwan, Irwan, Rusdin Tahir, Mohammad Liga Suryadana, Nurul Aldha Mauliddina Siregar, Fahriza Junizar, and Aping Firman Juliansyah. "Persepsi Wisatawan Terhadap Kelestarian Lingkungan Di Kawasan Punclut Bandung." EnviroScienteae 16, no. 3 (December 9, 2020): 397. http://dx.doi.org/10.20527/es.v16i3.9682.
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Bandung is one of the best tourist destinations in Indonesia and Southeast Asia. Bandung has its own charm as a tourist spot with a variety of tourist attractions ranging from natural, culinary, heritage and cultural tourism. Tourism supports 40% of Bandung City's Regional Revenue and one of the tourist areas is Punclut. At first Punclut area was a green hills. Since the 1990s, there have been many travelers go to Punclut just to exercise in the morning. Now, there were more and more travelers with varied purposes, like for having meals or just hang out. Slowly, more and more commercial buildings were built in this area. Most of the designation is for restaurants. This conditions of course has an impact on the ecology of the area. Therefore, the authors conducted a study to determine an environmental sustainability in the Punclut area through the perceptions of tourists who have come to Punclut. The research was conducted using a qualitative method by conducting literature studies and distributing digital questionnaires through the Google Docs application. The results showed that environmental sustainability in the Punclut area was perceived by tourists who had visited there as "moderate" with a "good" tendency.
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Sun, Weibing, Fu Zhang, Shuya Tai, Jinkui Wu, and Yaqiong Mu. "Study on Glacial Tourism Exploitation in the Dagu Glacier Scenic Spot Based on the AHP–ASEB Method." Sustainability 13, no. 5 (March 1, 2021): 2614. http://dx.doi.org/10.3390/su13052614.
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Due to the impact of COVID-19, people’s demand for non-contact tourism is increasing. The development of Internet technologies such as the Internet of Things, virtual reality (VR), and augmented reality (AR) can meet this demand. Internet technology makes non-contact tourism grow. However, these new technologies are emerging only within application cases, which cannot provide comprehensive methodological guidance for tourism suppliers. Despite the booming development of winter tourism in China, there are still many problems, especially affecting the tourist experience.rarchy process (AHP) and activity, setting, experience and benefit (ASEB) grid analysis were used to analyze the activities, settings, experiences and benefits of the scenic spot from the tourist perspective taking the Dagu Glacier Scenic Spot (DGSS) as an example. The research aims to increase the attraction of the scenic zone, and promote the coordinated and sustainable development of business in West China under the goal of improving tourists’ experiences. The results show that: subgoals of experience (E) and benefit (B) are the main directions of the development of ice and snow tourism in the DGSS. Furthermore, the threat of benefits (TB), the threat of setting (TS), the threat of experience (TE), the opportunities of benefits (OB), the opportunities of setting (OS), and the opportunities of experience (OE) are the main concerns.
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Li, B. S., M. Z. Liao, and L. L. Huang. "RESEARCH ON BIG DATA ANALYSIS OF LOCATION SERVICE AND INTELLIGENT SERVICE PLATFORM OF URBAN SCENIC SPOTS: A CASE STUDY OF GUILIN CITY, GUANGXI, CHINA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W10 (February 8, 2020): 1135–38. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w10-1135-2020.
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Abstract. In many famous tourist cities, there is a lack of big data analysis and perception of tourist behavior, which reflected in the existence of a large number of basic data in the scenic area. Through the traditional and/or non-special sensors of the Internet of Things, a large amount of special -temporal change data is collected, including video monitors data, RFID, WIFI, temperature and humidity, water depth sensors and other big data of the Internet of Things(IoT)that can perceive the location and environmental resource information of tourists. In addition, the thermodynamic data of the distribution location of tourists' mobile phones, although these data include the behavior data of tourist groups and individuals in the scenic spot, which can be most shown by supplying, lack of in-depth analysis and intelligent service application.As we all know, Guilin, Guangxi is a famous tourist attraction in the word. In this tourism city, the big data processing methods of location service include establishing a data processing framework, information extraction, fusion and batch processing technology. As a result of the location data of tourists in the scenic spot are constantly created over time, the location service data will be processed by stream mode. At the same time, dimension reduction analysis of big data is an important link in processing as it has a large volume but a low-value density. The analysis methods of location service include kernel density analysis, GIS spatial and temporal analysis, artificial intelligence deep learning, two-dimensional mapping, visualization processing results, and extraction of hot spots or scenic spots, etc. Spatial and temporal index technology is used to manage the big data of scenic spot location service and to improve the efficiency of data query and access. At the same time, a reasonable predictive analysis of data processing results is an important research method.The main system structure of an intelligent service platform includes platform, data processing sing, and analysis end, mobile management end. The platform includes a general user service module, location service module, a communication module, etc, which is responsible for providing reasonable service to customers. The data processing and analysis end include a data receiving module and a data processing and analysis module. Responsible for receiving and processing the location service data returned by the client. The mobile management end includes the scenic spot management module. Responsible for providing the manager with the distribution of tourists in the scenic area, the location information of the staff, the location of the emergency situation and other contents, and providing great help for the manager to maintain the order of the scenic area, reasonably dispatch personnel, and launch rescue in time. Development and design to show users good models and development concepts and typical artificial intelligence products, to improve the scenic spot tourist's playing efficiency and humanized experience and reduce the management cost.
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Aryanti, Sri, Sri Endang Saleh, and Boby Rantow Payu. "Valuasi Potensi Ekonomi Obyek Wisata Laut Olele dan Strategi Pengembangan Ekonomi Daerah." Ecosains: Jurnal Ilmiah Ekonomi dan Pembangunan 9, no. 1 (May 4, 2020): 22. http://dx.doi.org/10.24036/ecosains.11549757.00.
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This research was aimed at finding out the economic valuation in Olele Marine Park and determining development strategy for the tourist attraction as effort to improve the regional economic. Research data were retrieved from Tourism Agency of Gorontalo Province, Tourism Agency of Bone Blolango District, ans questionnaire distributed to method and Strength Opportunity Threats (SWOT) strategy analysis. Finding of research revealed that the economic value created through involvement of tourist visit in the Olele Marine Park based on respondents’ average of willingness to pay (WTP) was IDR 732.828/person, and the cost has covered accommodation, transportation, meal, and snorkeling and diving equipment. The value was believed to be increasing time by time as more tourists were attracted to visit the spot
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Lin, Jhih-Yu, Shu-Mei Wen, Masaharu Hirota, Tetsuya Araki, and Hiroshi Ishikawa. "Less-Known Tourist Attraction Discovery Based on Geo-Tagged Photographs." Machine Learning and Knowledge Extraction 2, no. 4 (October 19, 2020): 414–35. http://dx.doi.org/10.3390/make2040023.
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Most existing studies of tourist attraction recommendations have specifically emphasized analyses of popular sites. However, recommending such spots encourages crowds to flock there in large numbers, making tourists feel uncomfortable. Furthermore, some studies have discovered that quite a few tourists dislike crowded destinations and prefer to avoid them. A ready solution is discovery and publicity of less-known tourist attractions. Especially, this study specifically examines discovery of less-known Japanese tourist destinations that are attractive and merit increased visits. Using this approach, crowds can not only be dispersed from popular tourist attractions, but more diverse spots can be provided for travelers to choose from. By analyzing geo-tagged photographs on Flickr, we propose a formula that incorporates different aspects such as image quality assessment (IQA), comment sentiment, and tourist attraction popularity for ranking tourist attractions. We investigate Taiwanese and Japanese people to assess their familiar Japanese cities and remove them from ranking results of tourist attractions. The remaining spots are less-known tourist attractions. As reported from results of verification experiments, most less-known tourist attractions are known by only a few people. They appeal to participants. Additionally, we examined some factors that might affect respondents when they decide whether a spot is attractive to them or not. This study can benefit tourism industries worldwide in the process of discovering potential tourist attractions.
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Syafrinal, Bahruni, Syarifuddin, and Fauzan Putraga Albahri. "Implementasi Fuzzy Tsukamoto Untuk Menentukan Objek Wisata Terbaik di Kota Sabang Berbasis Web." Journal Digital Technology Trend 1, no. 1 (June 30, 2022): 46–61. http://dx.doi.org/10.56347/jdtt.v1i1.35.
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Sabang City has the characteristics of diverse natural tourism and can be used as a tourist spot for the community. In choosing a tourist spot, it is certainly not easy, apart from distance, cost, transportation and the number of family members, it is also necessary to consider so that the selection of tourist attractions visited by the community is in accordance with their wishes and financial conditions. The purpose of this research is to apply a recommendation system using the fuzzy logic of the Tsukamoto method and a web-based programming language as the language that will be used in making a decision support system application program to determine the best tourist attraction in Aceh. The several stages of work consist of; data collection, analysis, application design and design, implementation, and testing and evaluation. The results of research and testing of the Decision Support System for Determining the Best Tourist Attractions Using the Fuzzy Tsukamoto Method in the City of Sabang Web-Based that have been carried out by the author, several conclusions can be drawn, namely; 1) The expert system application to find the best tourist attraction is an application based on rules to solve problems to determine the best tourist attraction, especially in Sabang City with a high level of accuracy and is used as a tourist reference to determine the tourist attraction to be selected, 2) With the Expert System In this case, tourists or people who need it as a reference about the best tourist objects in Sabang City and as a reference for the Sabang City Government, and 3) The results of the analysis generated from this system are the same as the results of manual calculations using the theory of the Fuzzy Tsukamoto Method so that the accuracy The results are in accordance with the calculations obtained from the trial.
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Syah, Donny Oktavian, Agung Edi Rustanto, Ria Estiana, Rahayu Tri Utami, and Susbiyantoro. "Service Strategy on Tourism Business Development: Empirical Study on Purbalingga Panyatan Waterfall Tourism Spot." International Journal of Professional Business Review 8, no. 6 (June 28, 2023): e03030. http://dx.doi.org/10.26668/businessreview/2023.v8i6.3030.
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Purpose: The aim of this study is to examine the impact of service strategy rural tourism on tourism business development in Panyatan Waterfall in Purbalingga, Central Java, Indonesia
Theoretical framework: Previous study showed that service strategy has positive impact on tourism business development, especially in fomous and well-managed tourism site. However, there is still much to investigate if the situation is occurred in rural destination that not categorized tourism site, like Panyatan Waterfall.
Design/methodology/approach: This research is a primary research type. The authors conducted field research on April-June 2022 to interview and distribute questionnaire to visistors. There are 543 visitors who respond and answer our questionnaire. The respondents were selected using an accidental sampling technique with the Lemeshow formula. The data were analyzed using validity, reliability, and descriptive analyses, as well as simple linear regression.
Findings: The results showed that service strategy in rural tourism has significant effect to tourism business development in this area.
Research, Practical & Social implications: The study revealed that service strategy that conducted by local people surrounding tourist site in Panyatan Waterfall lead positively impact to the economy of community in Panyatan Waterfall.
Originality/value: The result of study indicated that the friendliness of the resident surrounding the tourist site become part of the external service of community, and it attract tourists to visit Panyatan Waterfall.
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Pratiwi, Yunisti, and Syahrul Syahrul. "Kajian Pengeluaran Wisatawan Domestik Dalam Upaya Meningkatkan Tingkat Kunjungan Di Kota Yogyakarta." jesya 6, no. 2 (June 1, 2023): 2259–70. http://dx.doi.org/10.36778/jesya.v6i2.1176.
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Abstrak
Pengeluaran wisatawan adalah salah satu unsur penting dalam menilai keberhasilan kinerja pariwisata. Wisatawan domestik secara umum tidak menghasilkan devisa tetapi wisatawan domestik sangat berperan penting dalam pemerataan ekonomi dan membangkitkan perekonomian pada saat pandemik, krisis ekonomi dan lain – lainnya.
Dalam studi penelitian ini dilakukan Di Kawasan Malioboro kota Yogyakarta, karena tempat wisata favorite, selalu ramai dan memiliki produk wisata yang lengkap. Dalam studi Penelitian ini melakukan penelitian tentang kajian pengeluaran wisatawan domestik di Kawasan Malioboro dengan kegiatan pendekatan kualitatif deskriptif. Pengumpulan data primer dan sekunder melalui observasi, kuesioner, observasi dan dokumentasi.
Kata kunci: kepariwisataan, pengeluaran, wisatawan domestik
ABSTRACT
Tourist spending is one of the important elements in assessing the success of tourism performance. Domestic tourists in general do not generate foreign exchange, but domestic tourists play an important role in economic equality and revive the economy during pandemics, economic crises and others.
In this research study conducted in the Malioboro area of the city of Yogyakarta, because it is a favorite tourist spot, it is always crowded and has a complete tourist product. In this research study conducted research on the study of domestic tourist spending in the Malioboro area using a descriptive qualitative approach. Primary and secondary data collection through observation, questionnaires, observation and documentation.
Keywords: tourism, spending, domestic tourists
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Anggi Arrahman and Achmad Hidir. "THE IMPACT AND PUBLIC’S PERCEPTIONS ON THE TURNING OF TAJWID LAKE INTO A TOURIST ATTRACTION." International Journal of Social Science 1, no. 4 (December 14, 2021): 415–22. http://dx.doi.org/10.53625/ijss.v1i4.719.
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This research was aimed to determine the public’s perceptions toward the attraction of Tajwid Lake. This research was also to describe the impact of Tajwid Lake attraction on local communities.The methodology used in this research was qualitative method. The data source in this research was consisted of primary and secondary data. Data collecting technique used in this research were participatory observation, in-depth interview, documentation and literature review. This research was conducted for two months. The results of the study indicated that the turning of Tajwid Lake into a tourist spot cannot be separated from various problems that cause the various public’s perceptions, both pros and cons. The impact of turning Tajwid Lake into a tourist spot is the presence of a recreation area for the community and providing space to increase income such as selling and providing services for tourists so that it can help the community's economy. However, it also has a negative impact on the community, especially those who make a living as fishermen, it because Tajwid Lake was place for fishermen to get their fish. Since Tajwid Lake became a tourist spot, it has been difficult to get the fish due to the dredging of the lake for tourism purposes, as well as restrictions for fishermen looking for fish in the lake to avoid the interfere with tourist activities. It caused the fishermen losing their place to get fish. Therefore at the time they looked for fish to go far up the river, and reduced the catches which have an impact on their economy.