Tour Guides Research Articles

TOURIST GUIDE TRAINING FOR PAINGAN POKDARWIS MEMBERS, NAGARI GUGUAK KURANJI HILIR PADANG PARIAMAN TOURISM VILLAGE

The aim of this community service activity is to help members of the Paingan Tourism Awareness Group (POKDARWIS) prepare themselves to become tour guides in the tourist village of Nagari Guguak Kuranji Hilir, Padang Pariaman Regency by providing training and assistance. To carry out this activity using lecture, discussion, demonstration, and simulation methods as a tour guide. More than ten people who are members of POKDARWIS Paingan Tourism Village Nagari Kuranji Hilir Padang Pariaman Regency participated in community service activities in the form of tour guide training at the home of one of the Paingan POKDARWIS members. This activity resulted in increasing the knowledge and skills of POKDARWIS Paingan members in terms of guiding tourists, especially for the Nagari Guguak Kuranji Hilir tourist village according to its tourist attractions. This can be seen from the ability of the training participants who were asked to simulate as tour guides during the activity. In addition, the service implementation team accompanied POKDARWIS members through the WhatsApp social media group to continue to provide motivation and direction to PAINGAN POKDARWIS members to improve their abilities as tour guides and provide better service to visitors to the Guguak Kuranji Hilir Tourism Village.

Batu Cermin Cave Labuan Bajo Development Strategy Based on Tourist Satisfaction Level

<p><em>Tourist satisfaction is essential for the sustainability of tourism activities at tourist attractions. Batu Cermin Cave is one of the attractions in Labuan Bajo. Batu Cermin Cave underwent renovations in 2021 and reopened in 2022. Since then, no studies have shown tourist satisfaction with the services and facilities at Batu Cermin Cave. Therefore, this research aims to determine the satisfaction level and develop strategies based on the level of tourist satisfaction. This research uses a mixed-method approach with an explanatory sequential design. Quantitative data collection uses accidental random sampling techniques with survey questionnaires and qualitative data uses observation techniques. The data collected came from 124 respondents. Data was analyzed using importance-performance analysis. In the Keep Good Work Quadrant, there were nine attributes: the appearance of the tour guide, speed of service of the tour guide or staff in serving visitors, the readiness of the tour guide or staff in serving visitors, timeliness of service, reliability in service, politeness and friendliness, patience in serving, area parking, and walking paths in the Batu Cermin Cave Area. In the Low Priority Quadrant, there are four attributes: work equipment for staff and tour guides in serving visitors, trash cans, information boards, and places to eat and drink. The Overkill Quadrant is an attribute of providing exceptional services for tourists and the road to Batu Cermin Cave. In the Top Priority quadrant, namely, security when visiting Batu Cermin, toilets, and road signs to Batu Cermin Cave. The priority development strategy is based on the attributes of the Top Priority quadrant are 1) increasing visitors' sense of security when carrying out tourism activities at Batu Cermin Cave, and 2) Improving the quality of supporting facilities such as toilets and road signs to Batu Cermin Cave..<strong></strong></em></p>

Impacts of Freshwater Fish Sanctuaries on Fish and Crustacean Diversity, Catch, and Household Income of Fisherfolk in Baggao, Cagayan, Philippines

The study was conducted from February to March 2022 to assess the impacts of fish sanctuaries on fish and crustacean diversity, catch, and income of fisherfolk in Baggao, Cagayan. Data were collected from the 59 registered fisherfolk in the study areas using a structured survey instrument and were analyzed using descriptive methods. The Shannon-Weiner Diversity and Pielou indices were computed to determine fish diversity and evenness, respectively. The results showed that the diversity indices in the three study areas were 1.91 in Duba Cave, 1.66 in Hot Spring, and 1.58 in Bluewater Falls, and the average species evenness was 0.7. Further, the major species caught include Anguillasp., Oreochromis sp., Trichopodus sp., Crenimugil sp., Macrobrachium sp., Ciprinus sp., Clarias sp., Arius sp., Chana sp., Glossogobius sp., Sundathelphusa sp., Hyphorhamphus sp., and Gambusia sp. The volume of fish catch depends on the production space in the buffer zone, the time of fishing or fishing frequency, and the fishing gears used by the respondents. The sanctuaries also served as alternative livelihood and source of income for the respondents with the development of tourism, which provided jobs (e.g., tour guides, river wardens, project monitors, and laborers) to community residents. The study's results confirmed the positive impacts of fish sanctuaries on the diversity, catch, and household income of fisherfolk.

Tourist Guide AI

Abstract—The research paper presents an innovative AI-driven platform that revolutionizes the landscape of personalized travel recommendations within specific cities. Leveraging the power of Artificial Intelligence (AI), the "Tourist Guide AI" system offers curated suggestions for attractions, activities, and dining options based on individual preferences. The platform integrates machine learning algorithms, geospatial data, and natural language processing to provide comprehensive insights into city attractions, ensuring a personalized and enriching travel experience. The deployment phase involves launching the system on cloud servers, ensuring widespread accessibility and scalability to accommodate varying user demands. The methodology employed encompasses rigorous data collection, preprocessing, and the implementation of a recommendation algorithm that combines collaborative and contentbased filtering techniques. The user interface is designed with intuitiveness and user- friendliness at its core, ensuring an intuitive experience for travelers of all backgrounds. The platform's advantages include personalized recommendations, efficient trip planning, real-time updates, and potential integration with mobile devices for on-the-go guidance. The research paper also acknowledges potential disadvantages and limitations, such as data accuracy, privacy concerns, and limited coverage for remote or lessvisited destinations, emphasizing the commitment to continuous improvement and expansion of coverage. The "Tourist Guide AI" project represents a significant step towards simplifying and enriching the tourist planning process, ensuring that each trip is a unique and tailored adventure for travelers of all backgrounds and preferences. Keywords—Tourist Guide AI, places recommendation, OpenAI APIs, Tourism form AI,Content Based Filtering, Vectorization .

Recommendation System for Mobile Applications Tour Guide and Travel Services using Demographic Filtering and Content-Based Filtering Methods based on Android

This research aims to build a tourism service recommendation system by providing recommendations for tour guides and tourism destinations using machine learning recommendation system methods. The recommendation system method in this research uses the demographic filtering method to recommend tour guides using a model with three stages, namely filtering, scoring and sorting the tour guide data category. At the scoring stage, it is carried out using a decision-making system method using the Simple Additive Weighting method to weight the tour guide value with the weighting value of each criterion in the tour guide data. This research also applies a content-based filtering method using a model with two stages, namely training and recommendation. The training stage uses tf-idf weighting and the recommendation stage uses cosine similarity to recommend tourism spots based on the similarity of metadata for each item. In using the recommendation system, the data will focus on collecting tour guide data and data on tourist attractions selected by the user. This data will be processed by a recommendation system using demographic filtering and content-based filtering methods. Through the Simple Additive Weighting method in demographic filtering and tf-idf weighting with consistent similarity in content-based filtering, this research found personalized recommendation results so that the level of accuracy of the recommendation results becomes more personal and accurate. The results of this research provide a recommendation system for tourist guides and tourist attractions which is implemented into an Android-based mobile application that can be used to meet tourists' needs.

TOUR GUIDE STRATEGIES IN PROMOTING INDRAPATRA FORT

This research examines the strategies employed by tour guides in promoting Indrapatra Fort. The methods used include interviews and observations. The results show that tour guides use strategies such as providing information about the location, creating impressions, and offering the best service, supported by language understood by tourists. The government also plays a part in promoting Indrapatra Fort. However, tour guides differ by employing promotional techniques such as social media publicity, printed media in the form of articles found in newspapers, and fundraising for promotion. In addition to media promotion, the government also establishes relationships with external parties to attract tourists. Regarding the promotion of Indrapatra Fort, it undeniably has an impact on the local community by increasing income and improving the standard of living in the economic sector.

Tourist Guide with Augmented Reality

Abstract: This study aims to examine the use of the application in tourism field on the question of what augmented reality applications mean, which is one of the endpoints of technology for tourism. With the study of in-depth literature, firstly augmented reality has been determined, and the changes and developments it has undergone throughout the history have been examined. Then, its areas of use and the types have been examined. Today, it is thought that the augmented reality, being the newest dimension of technology and seems it is almost impossible not to use in the area of tourism will provide a huge amount of marketing convenience and competitive advantages. In this article, twelve case studies on the application used in many fields of tourism such as transportation, accommodation, food & beverage and museums, have been analysed.

Societal's Attitude Towards the Essential of English for the Tourism Sector: Expectations and Actions

English is essential for national development involving the tourism sector. Unfortunately, it just serves as a foreign language in Indonesia, resulting in low speaking performance. This study observed stakeholders' and community's efforts to boost English-speaking fluency in the tourism object zone. It was a qualitative case study through interviews, document analysis, and photos in collecting the data. The research was done in Tana Toraja and Bulukumba regency of South Sulawesi province by involving stakeholders. The findings show that Stakeholders and local society are regularly active in training on the use of English for Specific Purposes (ESP), such as English for tour guides, hotel services, selling handicrafts, etc. Stakeholders also introduce and train the use of various kinds of Artificial Intelligence to improve English skills, such as "Google translation". The government localized a village which was named "Tourism English Village," where the local people try to speak English as much as possible. This study contributes to the second language acquisition acceleration in foreign language countries and promotes some tourism object zones in Indonesia..

How about non-human tour guides? The influence of AI tour guides’ dress and conversation style on the intention of consumers to continue using them

ABSTRACT Based on the cognitive fit theory, this study constructs a model to examine the impact mechanism of AI tour guides’ visual and linguistic cues on consumers’ intentions to continue using them. Two experiments are conducted to validate this model. The results showed that when an AI tour guide is dressed formally and informally, a competent and warm conversational style, respectively, enhances consumers’ intention to continue using them. Identity identification and para-social interaction play partial mediating roles and jointly play a chain-mediating role in the above relationships. Additionally, this study also examines the role of conversational form (text vs. voice).

Mapping the Levels of English Storytelling of Tour Guides in Jajar Gumregah Tourist Village Trenggalek

Mapping the Levels of English Storytelling of Tour Guides in Jajar Gumregah Tourist Village Trenggalek

Namudzaj al-Lughah al-'Arabiyyah li Aghrad Muhaddadah: Tashmim al-Mursyidin al-Siyahiyyin al-Nathiqin bi Lughah al-‘Arabiyyah

This study aims to work on an ASP (Arabic for Specific Purposes) model designed by Arabic-speaking tour guides. As the background, the increase in the number of tourists coming from the Middle East from year to year shows that Indonesian tourism is in high demand, but it seems that the tourism industry in Indonesia does not expect the number of tourists coming from the Middle East to increase because both the government and the private sector are doing more promotion. Arabic language teaching especially in the realm of tourism becomes the center of this study. This research uses a qualitative approach, and the data collection techniques subsume interviews, observations, and documentation from the implementation of ASP training in Jogjakarta. This study has found that the ASP Model for tourism is student-centered learning with practical-based learning strategies considering needs analysis and prior information. ASP model is prepared for students at an advanced level. Students are also familiar with the basics of tourist guidance and interpretation skills in tourism. The foregoing is underlined by a notion that the teaching of ASP for tourism is inseparable from fluency of speech and comfortable statements.

EDUCATING STUDENT AT MUSEUM

Museums are buildings used as storage, maintenance, security and utilization of historical relics, art and science for permanent exhibition to the public (tourists) as a tourist attraction that provides educational values to tourists or visitors. To meet the needs of visitors in the museum, competent tour guides are needed as parties who provide information or provide education about the collections owned by the museum being visited. Therefore, the purpose of this journal is to review how tourists learn in museums through tour guides and what the role of tour guides as educators is, namely guiding tourists, providing information, introducing new things from the museum to visitors, informing visit regulations about things that can and cannot be done while in the museum and maintaining quality service. To fulfill the criteria of tour guides and maintain the quality and service to visitors, it is necessary to have continuous training for tour guides. This research uses a descriptive qualitative research method that aims to analyze and describe how visitors or tourists gain understanding or knowledge about the museum through the role of tour guides and what kind of tour guides educate visitors. Researchers use several methods library data collection methods, reading and recording, and processing research materials. In this study, researchers found that tour guides have an important role as educators to educate tourists from the beginning to the end of a visit to the museum.

Research on the structure model of competitive factors of tourism information systems influencing socio-economic environmental performing arts industry in Anhui province based on SmartPLS analysis method

With the development of technology, tourism information systems are playing an important role in facilitating travel and enhancing tourist experiences. These systems include online booking platforms, mobile applications, virtual tour guides, and information centers that allow tourists to store destinations accommodation and provide valuable information about events and cultural experiences. The purpose of this study is to understand how socio-economic factors affect travel decisions and how the tourism information system takes advantage of technology so that tourists have valuable information and services can be provided. Looking for this relationship, the study enhances tourist experiences, helping local economies, and it wants to identify opportunities to promote sustainable practices that meet both tourist preferences and the needs of local communities. In the Anhui region of China, the study uses a survey method to gather data from 300 visitors at popular tourist destinations such as Zhiyuan Temple, Tunxi Ancient Street, Huangshan's granite peaks and twisted pines, and Wancuilou Museum. The data is analyzed using structural equation modelling (SEM). Convenience sampling, a non-probability sampling technique, is the foundation of this study. In the fictitious study's results, the effect of socio-economic factors on tourists' travel decisions, the importance of a tourism information system in enriching travel experiences, and the ability of tourism information systems to support local economies and promote sustainable practices can be included. In addition, tourism information systems can offer valuable contactless solutions for tourists, and there may be opportunities to use technologies such as virtual reality and agnate reality for immersive destination previews. The study offers perceptions on the variables that entertainers and artists should consider to maintain their system in the market and enhance the province's overall tourism offering. The research gap needs to be filled is how to improve the current models of Anhui province's tourism information system factors to better prepare visitors for consumer behavior. In addition to giving a more thorough understanding of consumer behavior and government policies regarding the technology used in the tourism information system, the research findings may serve to increase the overall quality of the tourism industry.

The Effectiveness of Collaborative Learning on Developing Communicative Strategies in English for Specific Purpose Tour Guide Language Training Course at Tertiary Level

<p style="text-align:justify">The aim of this study was to investigate the effect of collaborative learning on learners’ communicative strategies in English for specific purpose (ESP) tour guide training course. The 12-week study was conducted using a quasi-experimental design with a pre-test and post-test, following the instruction of twelve topics in the ESP language training course. A total of 60 ESP language learners participated in the study. The experimental group was instructed using collaborative learning in the ESP tour guide language training and the control group was taught using a lecture-based approach. Data from the communicative strategies questionnaire were collected to assess the effectiveness of collaborative learning on learning communicative strategies in the ESP context. The results of the study showed that the experimental group was significantly higher than the control group on both the oral problem coping strategy scale and the listening problem coping strategy scale of the communicative strategies scale in the ESP environment. Based on the findings of the study, collaborative learning is effective in enhancing the language learners' communicative strategies in tour guide training course. Moreover, the study suggests that there should be a critical reflection on the ESP training course currently offered for tour guide language learners.</p>

Residents and Stakeholder Opinions on Township Tourism in Langa, Cape Town, South Africa

Township tourism has become more varied, offering a wider range of products, experiences and services. In this paper, we examine residents and stakeholders’ opinions on township tourism in Langa, Cape Town, South Africa; an area characterised by crime, unemployment, housing backlogs and poverty. Using a qualitative approach, this paper reports on empirical evidence conducted with key tourism stakeholders to understand some of their perceptions regarding township tourism development in Langa. Concerns about safety, poor infrastructure and a lack of interaction between tourists and the local community are raised by Langa residents and community leaders. Their dissatisfaction with tour guides and tour routes serves as a reminder of the need for more inclusive practices. While business owners are aware of the potential of tourism in promoting cross-cultural dialogue, deepening understanding and creating priceless experiences, they are constrained by perceptions of crime, a lack of tourist exposure to local establishments and the exclusion from decision-making processes. Despite these difficulties that township tourism faces, it is crucial to promote ethical tourism practices that put emphasis on genuine encounters and local community empowerment.

The rise of paranormal investigations as virtual dark tourism on YouTube

ABSTRACT This paper proposes the rising popularity of paranormal investigations on YouTube as a new form of armchair travel, namely virtual dark tourism. To support this discovery, this study gathered statistics on this new genre of virtual dark tourism on YouTube; uncovered the most common types of dark tourism sites visited by paranormal investigators; and details the typical paranormal investigation genre conventions in the method of storytelling used on Sam and Colby's (2014, YouTube [YouTube Channel]. YouTube. Retrieved 31 March 2023 https://www.youtube.com/c/samandcolby/about) which arguably led to its high-level of success on YouTube. The study highlights some of the dangers, risks, and ethical considerations for future tour guides and researchers for this type of dark tourism. It also summarises the methods of income generated by YouTubers conducting paranormal investigation tours, which can be informative for future businesses and content creators. This study was investigated using digital ethnography, and distant and close reading of 60 YouTube channels which focus specifically on the niche of paranormal investigations (i.e. ghost hunting).

Analysis on factors affecting tourist involvement in coffee tourism after the COVID-19 pandemic in Thailand.

The world economy was broken by the COVID-19 pandemic, which affected the coffee industry. The COVID-19 pandemic's financial effects might influence equity markets and personal lives. This includes financial commodities like coffee, which the pandemic is predicted to damage. Coffee tourism is an emerging new kind of tourism in Thailand, formed in response to growing demand from visitors with a particular affinity for the beverage. Coffee tourism may contribute considerably to the expansion of Thai tourism if given the proper guidance and assistance. As part of a coffee tourism experience focusing on first-hand activities and information, tourists can visit neighbouring sites while on a coffee plantation. This research uses a stochastic neuro-fuzzy decision tree (SNF-DT) to analyse coffee tourism in Thailand. The research surveys 400 international and Thai coffee tourists. According to studies, Thai visitors mostly visit coffee tourism locations in Thailand for enjoyment. They also wanted to visit coffee fields in order to get personal knowledge of coffee production and marketing. Based on the comments of Thai visitors, coffee tourism in northern Thailand looks to be highly and effectively handled. Due to the same factor, responses from foreign coffee tourists indicated that many of their journeys to coffee tourism destinations were made entirely for enjoyment rather than the business. They also wanted to meet local tour guides and acquire handmade and locally produced things to understand more about coffee tourism. According to study results, coffee tourism management in northern Thailand looks well-received by international tourists. We also compare the suggested model to the traditional one to demonstrate its efficacy. The performance metrics are prediction rate, prediction error, and accuracy. The estimated results for our proposed technique are prediction rate (95%), prediction error (97%), and accuracy (94%). Major global businesses such as tourism have been harmed by COVID-19's unprecedented effects. This study attempts to determine the role of coffee tourism in livelihoods based on real-time data using a machine-learning approach. More research is needed to analyse the factors of the coffee tourism experience using different machine learning approaches.

COVID-19 pandemic on cultural tours and cultural tourists in Turkey

ABSTRACT This study investigates the impact of the COVID-19 pandemic on cultural tours and cultural tourists. The case study, a qualitative method, was adopted. Data was collected from 15 tourist guides through a semi-structured interview technique. The data was analysed using both content analysis and descriptive analysis. The results of the study show that the behavioural changes of cultural tourists during the pandemic period may continue in the post-pandemic period, and new changes may emerge. During the pandemic, cultural tourists are more worried, cautious and less social, which leads to fluctuations in their satisfaction levels. It can be said that the tourists prefer nature-based tours to cultural tours. In addition, the destinations visited on cultural tours and the characteristics of cultural tours have changed during the pandemic.

Pengelolaan Pawon Luwak Coffe Borobudur Berbasis Wisata Edukasi

Tourism has great potential to provide economic benefits to society, but can also cause environmental and social damage if not managed properly. Overcoming this requires implementing the concept of sustainable tourism. That is what Pawon Luwak Coffee Borobudur has done as an educational tourism-based coffee shop. Its existence has served as an example of an industry that provides coffee and shares knowledge by directly inviting people to see the process of making it. This research uses a descriptive method with a qualitative approach to explore in depth the process of managing a coffee shop based on educational tourism that has been implemented. The results and discussion in this research found that the educational tourism-based coffee shop management process has been implemented. Through detailed explanations by employees, they also act as tour guides to invite visitors to experience and gain knowledge about the process of making drinkable Luwak coffee. The management of the Pawon Luwak Coffee coffee shop based on educational tourism has the advantage of providing high quality Luwak coffee and providing a unique experience for visitors to see the process firsthand. Then the development of attractive educational programs requires improvements, such as collaborating with local communities in terms of production, environmentally friendly operations, employee skills development training, as well as evaluating sustainable practices that can be adopted. Managing a Luwak coffee shop based on sustainable educational tourism can provide economic benefits, promote environmental awareness, social networking, and become a positive example for the coffee industry as an alternative tourism in Indonesia. Based on the three pillars of sustainability, namely environmental, social and economic, it can be concluded that this coffee shop has become a positive example for the coffee industry as part of tourism in Indonesia.

The Utilization of Potential Water Sources in the Development of Swiftwater Ponds and Sentool Agrotourism, Suci Village, Indonesia

Suci Village is a village located in Panti District, Jember Regency, East Java, Indonesia. This village is an area rich in natural resource potential, especially water sources. The availability of this water source can be caused by the large number of plants that are able to store abundant amounts of water. Based on its abundant water sources, this village can be used as a potential attraction in itself. There are several small rivers that can be used to develop fast water pools. Apart from that, the development of small rivers in Sentool tourism can be used as fast water pools and agrotourism in Suci village has great potential in improving the economy of local residents. With abundant water resources, communities can develop agrotourism businesses that can attract tourists, thereby creating jobs and improving the local economy. The Grand Launching of Fast Water Fish Tourism is an event involving enthusiasm and excitement which aims to introduce a new destination, namely fast water fish tourism, to the wider community. Providing culinary training in Sentool Village could be a good step to develop the tourism and economic potential of the local community. Cycling to explore plantation areas for tourist purposes is an interesting way to introduce tourists to agricultural environments, plantations and natural beauty that they may have never seen before. Pokdarwis Training Conduct initial assessment to identify. Tourism management, marketing, tourism product development, cleanliness, security and guest service then design a training program that suits your needs. Tour guide training in Sentool village is an important step to ensure that tour guides have the knowledge and skills necessary to provide visitors with a satisfying tourism experience.