Destinations In Indonesia Research Articles

Increasing the Capacity of Human Resources for Tourism Actors in the Tourism Area of Ijen Crater, Bondowoso Regency

Tourism is an important sector that can increase national income. Mount Ijen Tourism Area is one of the tourist destinations in Indonesia which is popular among local and international tourists. The positive effect that occurs is that there are business opportunities for residents around the tourist attraction, both in the service and trade sectors. However, the reality is not always the case, many residents who are involved in the tourism industry find it difficult to take advantage of business opportunities in the services and trade sectors, especially for foreign tourists. This is caused by several factors, especially the lack of ability to communicate in a foreign language when conducting service or commercial transactions. Improving the capacity of Human Resources in overcoming this problem is the responsibility of the local government. The approach used in this research is descriptive qualitative. From the research results, there are serious indications from the Government of Bondowoso Regency in optimizing the Ijen tourism object by conducting a comprehensive mapping of tourism potential. The Bondowoso government plans to increase budget allocations to the tourism sector with additional budgets which are expected to strengthen intensive tourism promotion efforts and have the potential to increase Bondowoso's own-source revenue.

City Image Model in Creating Tourist Engagement

The problem in this study is the decline in tourist visits to hot spring natural tourist destinations in Indonesia during the Covid-19 pandemic. City image and nostalgic emotion play an essential role in influencing tourist engagement through memorable tourism experiences as mediation for visiting tourist destinations. This study aims to determine the effect of city image and nostalgic emotion on tourist engagement within memorable tourism experiences as a mediation. The research subjects were tourists in natural hot spring tourist destinations in West Java Province. The method used in this research was the explanatory survey. Respondents in this study were visitors to hot spring natural tourist destinations in Indonesia accidentally, totaling 400 people. The sampling technique used in this research was proportional random sampling.
 Keywords: city images, nostalgic emotions, memorable tourism experiences, tourist engagement

Sightseers’ Responsible Behavior Toward the Environment at Rural Destinations: The Moderating Role of Levels of Education

This study discusses the impact of the external factors in tourism locations on the environmental conduct of students as sightseers; takes the rural destinations in Indonesia as the case-study place based on 325 questionnaire survey samples of tourists; and adopts the method of structural equation model-multiple group analysis to explore the moderating role of levels of education on the relationship between students’ intention to behave environmental responsibility and their responsible behavior toward the environment. Students’ factors include PBC (Perceived Behavioral Control), AE (attitude to behave toward the environment), SN (subjective norms), and IR (intention to behave with environmental responsibility). Results indicate that among students’ factors, PBC and SN have no significant effect on students’ IR; PBC affects students’ RBE positively, and students’ IR affects their RBE positively. Through analysis of survey data collected from rural sightseers on an island in Indonesia, we conclude that it is important to encourage favorable community formation and good behavioral norms by external factors to support responsible environmental behavior in sightseeing places.

Formulation of Tengger herbal coffee: Effect of coffee type and fennel seed powder

The Bromo Tengger Semeru National Park (or Taman Nasional Bromo Tengger Semeru/TNBTS) is a popular tourist destination in Indonesia, and the local authorities encourage the development of new local specialty products. One locally available commodity is coffee. This study investigated the best formula for Tengger herbal coffee. The randomized block design (RBD) consisted of two factors, including the coffee types (i.e., Arabica, Robusta, and Arabica:Robusta (50:50)) and the proportion of coffee:fennel seed powders (i.e., 92:8, 90:10, and 88:12). Physicochemical and organoleptic quality parameters were analyzed. In all coffee types, the addition of fennel seed powder at different concentrations significantly affects the sensory attribute (i.e., color, taste, and aroma) and the physicochemical characteristics of Tengger herbal coffee. The blending of coffee with fennel seed powder improved the taste and aroma of the herbal coffee. The best formulation was obtained from A3B3, a mixture of 44% Arabica coffee: 44% Robusta coffee: 12% fennel seed powder. This formula resulted in Tengger herbal coffee with pH 4.9, 16.6 color lightness, 0.64% total insoluble solids (TIS), 0.07% caffeine content, 47.2 mg GAE/g total phenol, 0.49 ppm antioxidant activity (IC50), and 0.58% reducing sugar. The findings confirmed that Tengger herbal coffee offers health benefits from its antioxidant activity, alongside the potential as a traditional beverage product.

Religion And Tourism Growth In Aceh: A Conceptual Framework

This research aims to discover and assess the halal tourism potential in Aceh Province. This research is qualitative and uses the literature review method. The findings of this study indicate that Aceh has excellent potential as a halal tourist destination, with natural wealth comparable to other well-known tourist destinations in Indonesia; however, Aceh Province, as the only province in Indonesia that follows Islamic Sharia law, must identify market segments in order to promote things that will appeal to foreign tourists. Aceh has met all of these criteria as a norm for halal tourism zones, according to the Global Travel Market Index (GMTI).

THE EFFECT OF TOURISTS MOTIVATION AT BATU ANGUS NATIONAL PARK REVISIT INTENTION

In recent years, there has been a significant increase in the popularity of water-based tourism in Manado, particularly in the form of water sports and diving activities. Manado is known for its stunning marine biodiversity, including coral reefs, a variety of fish species, and other sea creatures. This has attracted a growing number of tourists, both domestic and international, seeking to explore the underwater world and enjoy the natural beauty of the area. This study aimed to explore the effect of tourists' motivation on their revisit intention to Batu Angus National Park, a popular tourist destination in Indonesia. Using a quantitative research approach, data was collected through a survey questionnaire distributed to tourists who had previously visited the park around 100 sample. The study findings indicated that the variable push motivation and pull motivation are significanlty influenced the variable revisit intention to the park. The study provides useful insights for park management and policymakers to enhance visitors' experience by catering to their motivational needs, which in turn can increase their revisit intention and boost tourism development in the region. Additionally, improving facilities such as adding more benches, rest areas, and public restrooms would provide greater convenience and comfort to visitors. These enhancements would not only attract more tourists to the park but also increase their revisit intention, which could potentially boost tourism development in the region. Keywords: push motivation, pull motivation, revisit intention

How travel motivation and engagement can boost loyalty to wellness tourism in Yogyakarta

Wellness tourism is a type of special interest tourism that aims to maintain the body's fitness of tourists. Wellness tourism with facilities or activities that involve tourists, such as yoga, spas, and art performances. One of the fitness tourism destinations in Indonesia that is currently entering the development stage is the Special Region of Yogyakarta. These destinations have various kinds of local wisdom to be an attraction in terms of attractive fitness tourism activities. This study was conducted to analyze the effect of tourist motivation on destination loyalty (loyalty to destinations) through the involvement of tourists in wellness tourism in the Special Region of Yogyakarta. This study uses a quantitative approach, the type of explanatory research, by distributing questionnaires to 120 domestic tourists who visit fitness tourism destinations in the Special Region of Yogyakarta using a non-probability sampling technique with purposive sampling. The data analysis technique used is statistic descriptive, regression analysis, and Sobel Test which is used to see the influence between variables, either directly or indirectly. The results of this study indicate that there is an influence between tourist motivation and destination loyalty through the involvement of tourists in wellness tourism in the Special Region of Yogyakarta. In addition, the tourist involvement variable has a mediating role for the tourism motivation variable with destination loyalty.

Infrastructure development strategy based on the accessibility to tourism location (case study of Bali Province-Indonesia)

As one of the famous tourist destinations in Indonesia, Bali has many places or tourist areas that can be visited. Economic of Bali Province was highly dependent on tourism industry. The development and spatial distribution of the tourism locations were not evenly distributed. This has resulted in the development and economic disparities between regencies. This is a challenge on how to develop a more balanced economic development between regencies. One way to assess the spatial distribution of tourism development is by evaluating the accessibility to tourism location. This study aims to analyze the accessibilities to tourism location and propose the infrastructure development strategy to improve the accessibility of the regencies with low accessibility values. Accessibility was measured based on travel distance and time. The spatial distribution of the accessibility value was measured based on the Z-score. The results indicate that the highest level of accessibility was found in Denpasar city. On the other hand, low accessibility values were found in Jembrana, Tabanan, Buleleng, and Karangasem regencies. Several solutions were proposed to increase accessibility such as road widening, building toll road, building shortcuts, and railroad development.

ENGLISH-FOR-TOURISM TRAINING TO IMPROVE THE ENGLISH CAPABILITY OF TOURISM WORKERS AND BUSINESS OWNERS IN THE DEPARTMENT OF TOURISM, CULTURE, YOUTH, AND SPORTS OF BLITARREGENCY

English plays a vital role in the tourism field since it supports tourism workers and business owners to provide excellent services. Numerous tourism destinations in Indonesia including the ones in Blitar Regency have become the center of attention for foreign tourists. Located in Blitar, East Java, Kampung Coklat and Karanganyar Coffee Plantation have also been continuously preparing their workers and business owners to provide efficient services for both domestic and foreign visitors. In accordance with providing excellent services to foreign tourists, tourism workers and business owners are expected to have good English mastery. Objectives: This community service aims to provide a support for the tourism workers and business owners under the supervision of the Department of Tourism, Culture, Youth, and Sports and the Department of Tourism Promotion of Blitar Regency in terms of improving their English mastery, especially their communication skills in English. Methods: The activity was carried out in three stages, namely two material sessions, speaking activities, and feedback. Results: This activity gave the participants an opportunity to practice serving a customer in English. Even though it was quite challenging for some of the participants, they felt encouraged to actively participate in the speaking activities and get familiar with expressions used in tourism and hospitality services. Conclusion: The supervision and training sessions in speaking English was very enlightening for the participants to improve their English mastery in tourism services. It needs a continuation to provide greater impact to the targeted participants.

Analisis Kesehatan Terumbu Karang Berdasarkan Kelimpahan Ikan Herbivora Di Perairan Labuan Bajo

Coral reef ecosystem is one of the ecosystems located in coastal areas which has a very important role for the community, both economically and ecologically. Rock or scleractinian corals are the main building blocks of coral reef ecosystems. The connectivity of coral reef ecosystems with other ecosystems has a very large influence on the life cycle of reef fish such as spawning, rearing, foraging, and sheltering places. Herbivorous fish are that eat turf algae or macroalgae that inhibit the recruitment of new corals. Labuan Bajo is one of the tourism destinations in Indonesia, especially marine tourism. Coral reefs in Labuan Bajo cover 10.8% of the total area of coral reefs in Indonesia located in Nusa Tenggara. The purpose of this study was to determine the health of coral reefs in the waters of Labuan Bajo. This research will be carried out from September to October 2021. The coral reef data collection method used is the Underwater Photo Transect (UPT), and for reef fish is using the Underwater Visual Census (UVC) method. Based on the research results, the percentage of hard coral is 20.16% of the total stations and rubble is 32.24%. The abundance of fish in Labuan Bajo waters ranges from 1608.89 - 4600.00 ind/ha, where the average abundance is 2919.78 ind/ha. All stations got a health index value of 3, this is indicated by the low coral cover, high coral resilience, and low herbivorous fish biomass obtained.

Characteristics of the Health Problems Among International Travelers Visiting International Hospital in Bali

Bali is one of the most popular tourist destinations in Indonesia. As one of the islands in a tropical country, Bali has its own risk of disease transmission. The increasing number and pattern of international travelers can affect morbidity and mortality. Research on disease problems among international travelers in travel destination countries is rarely reported. This study examines health problems concerning foreign tourists visiting hospitals in Bali. This cross-sectional study used total sampling on all medical records of international travelers visiting an international hospital in Bali. A total of 999 medical records were analyzed in this study. The mean age of the patients was 35.55 years. Most patients were female (53.9%) and used travel insurance (55.3%). Most health problems are complaints in the gastrointestinal system (22.3%). The primary health problem is the gastrointestinal system. Most patients use insurance to finance their health.
 Keywords: Health Problems, Travelers, Infectious and Non-Infectious

The Role of Information Sources on Tourist Behavior Post-Earthquake Disaster in Indonesia: A Stimulus–Organism–Response (SOR) Approach

The earthquake disaster has an impact on tourist visit intention. This study aims to investigate tourist behavior in the post-earthquake disaster linkage between information sources (word of mouth and electronic word of mouth) and risk perception toward tourists’ visit intentions to a destination in Indonesia. This study applies the SOR theory to predict tourists’ behavior in the destination aftermath. The Partial Least Squares Structural Equation Model was used to examine the hypothesis of the study. The result found that information sources (electronic word of mouth and word of mouth) significantly influenced visit intention in the time of post-earthquake disaster. The risk perception has not significantly influenced visit intention in post-earthquake disasters. The discussion and conclusion of the study are discussed herein. Overall, the findings of the study may contribute to the theory by adding information sources to predict tourist behavior post-earthquake disaster and also gives a practical contribution to the tourism sector, stakeholders, tourism marketers, and policymakers in Indonesia to enhance the marketing strategy by considering destination promotion through word of mouth (offline) and electronic word of mouth (online) and its mechanism on tourists’ travel decision in the time of aftermath.

Naive Bayes and Wordcloud for Sentiment Analysis of Halal Tourism in Lombok Island Indonesia

Lombok is one of the halal tourist destinations in Indonesia and has been recognized by the world. To examine these assumptions based on sources from tourist opinion, it is necessary to carry out a sentiment analysis whether their presence is as expected. Google Maps is a platform that can show the location of the island of Lombok along with written reviews from tourists who have visited. The collection of review data is done through the Web Scraping technique on the Google Maps Review, then the data is processed using RapidMiner. The algorithm used is Naive Bayes, an algorithm that uses probability or the concept of opportunity in classification. A word cloud visualization is also displayed to bring up words that tourists often say. 1493 data were obtained after Web scraping and cleansing had been labeled with positive and negative sentiment categories. Preprocessing is carried out which includes tokenize, filter token by length, transform case, stopword, and stemming, then classification using the Naive Bayes algorithm. From the results of testing the Naive Bayes algorithm model, an accuracy rate of 74.75%. Word Cloud visualization also found the top words included "indah", "wisata". “pantai”, “alam”, “gunung”, and “masjid”.

Tourist Loyalty to Halal Tourism in Indonesia: The Role of Services Quality, Satisfaction, and Experience Quality

Research aims: This study aims to develop an original model of halal tourism by considering the service quality variable and its effect on tourist loyalty with satisfaction as a mediator variable and experience quality consisting of halal food, halal facilities and services, and people at the destination as moderator variables.Design/Methodology/Approach: This study adopts an empirical approach. Data were collected using questionnaire distributed to respondents that were selected through purposive sampling based on their previous visits to halal destinations in Indonesia. A total of 440 questionnaire responses were subjected to quantitative analysis using the Structural Equation Modeling.Research findings: Our study findings indicated that services quality was one of the factors with positive, significant impacts (direct and indirect) on tourist loyalty. In addition, experience quality seemed to strengthen this impact.Theoretical Contribution/Originality: This research offered a novel insight that that the satisfaction and loyalty of tourists visiting halal tourism can be increased through improving experience quality.Practitioners/Policy Implications: This research is expected to be a reference and consideration for halal tourism business actors in their efforts to increase visitor satisfaction where major coniderations should be put on halal accommodation and halal services. Visitor experience is an important factor to increase the number of visitors to halal tourism.Research Limitations/Implications: The large sample size relatively complicated the timely data collection.

Grid Satellite Rainfall Products Potential Application for Developing I-D and E-D Thresholds for Landslide Early Alert System over Bali Island

Bali has been one of the most popular tourist destinations in Indonesia. However, on the other hand, Bali has a high risk of natural disaster vulnerability. The number of landslides in Bali took the first position compared to other natural disasters. Currently, remote sensing platforms can present Grid Satellite Rainfall Products (GSRPs), which provide rainfall information that can identify rainfall conditions for landslide events. This study aims to analyze the potential GSRPs application of Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN), the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG), and Global Satellite Mapping of Precipitation (GSMaP) in determining the mean rainfall intensities and duration (I-D); accumulated rainfall and duration (E-D) thresholds for landslide occurrences over Bali Island. The method used to develop I-D and E-D thresholds is the power-law equation and frequentist sampling method in various probability levels (5%, 10%, 20%, 30%, 40%, and 50%). The result shows that I-D and E-D thresholds established by GSRPs are generally lower than the threshold defined by rain gauge observations. Among the three GSRPs, IMERG is performing the best in establishing the I-D and E-D thresholds for landslide phenomena. The level of potential that IMERG can use in developing the I-D and E-D thresholds is 59.16% and 84.06%, respectively. The E-D threshold derived from the IMERG product can be used to establish the landslide early alert system over Bali Island because it has a high spatial-temporal resolution, word-wide coverage, and near-real-time observation.

Investigating tourist visit behavior in Bengkulu, Indonesia: The role of satisfaction, trust, and price

Bengkulu, a rapidly developing tourism destination in Indonesia, presents a unique context for understanding tourist behavior. This study investigates the influence of satisfaction, trust, and price on tourist visit behavior in Bengkulu. Using a sample of 340 tourists and employing Structural Equation Modeling (SEM), the study tests the relationship between these variables. Results indicate that both satisfaction and trust have a significant positive impact on visit behavior. However, the price does not significantly influence visit behavior. These findings underscore the importance of enhancing tourist satisfaction and building trust to improve visit behavior in Bengkulu. The findings also suggest that price, in this particular context, might not be a crucial determinant for tourists' decisions to visit. This study contributes to the literature on tourist behavior and provides practical implications for destination marketing in Bengkulu and similar emerging tourist destinations.

Aspect-Based Sentiment Analysis of Hotels in Bali on Tripadvisor Using BERT Algorithm

The covid pandemic that began in 2020 has caused enormous losses worldwide, including in Indonesia. Human-to-human contact is the source of the transmission of the covid virus, so the government urges people to maintain cleanliness when interacting. Bali is a popular destination for foreign and domestic visitors in Indonesia. Hospitality businesses in Bali unquestionably face a high risk of covid transmission; consequently, changes in hotel business processes are unavoidable; the implementation of new business processes can have a negative effect on business performance. In order to maintain Bali's reputation as the most popular tourist destination in Indonesia, the government must evaluate the performance of several hotel services that have implemented new business processes. The Aspect-Based Sentiment Analysis (ABSA) methodology can be utilized for performance evaluation. One of the finest algorithms for analyzing text, Bidirectional Encoder Representations from Transformer (BERT), is required for sentiment analysis. The data consists of textual customer evaluations of hotels in Bali that have implemented a new protocol or Standard Operational Procedure (SOP), retrieved from the Tripadvisor website. In the form of a number of evaluations of various aspects of the hotel, the research results can assist the government in analyzing the performance of hotels in Bali based on predetermined criteria.

Pembelajaran Pengembangan Destinasi Wisata Kebugaran di Prov. DIY dan Prov. Bali sebagai Potensi Produk Wisata di Ibu Kota Negara

Wellness tourism is a new genre in world tourism, although so far world tourists are familiar with spa treatments or activities in hot springs as part of holiday packages in the travel and tourism industry. In fact, for Indonesia, wellness is a potential tourism resource, especially when associated with various existing elements of tradition and culture. Indonesia's deeply rooted cultural identity has become one of Indonesia's strengths in developing various health and herbal/herb tourism products. The emergence of wellness tourism itself cannot be separated from lifestyle changes to be better and healthier (wellbeing lifestyle), especially in a world that is experiencing a pandemic like this. Nevertheless, wellness tourism products cannot be separated from the main and supporting tourism products, which are the main motives for tourist visits to a destination. Therefore, the collaboration between local wellness tourism resources and various main tourism resources is the main reason why this wellness tourism develops in destinations that have special functions that encourage people from outside the destination to come to visit, one of which is in the National Capital. This study aims to study how Yogyakarta and Bali, as a major tourist destination in Indonesia, is able to develop wellness tourism products that are rooted in their traditions and culture, even as a companion to their main tourist attractions. Using a qualitative descriptive analysis method on the results of interviews, observations and concentrated discussions conducted with all stakeholders, both from the government and tourism industry players, this research then produced several keys to the successful development of wellness tourism products in the two destinations, such as cultural strengths related to wellness, favorable regulations, geographical position and so forth. This strength then becomes a lesson that can be adapted to be developed in the Archipelago, as the future Capital of the Republic of Indonesia

EFFECT OF VEGETATION AND BUILDING DENSITIES TO URBAN THERMAL COMFORT (CASE STUDY OF DENPASAR CITY)

Denpasar is the capital of Bali Province, which is one of the most popular tourist destination in Indonesia. Anthropogenic activities have changed the land use and land cover (LULC) that affect the land surface temperature (LST) and thermal comfort. Good quality of thermal comfort can improve the livelihood of its citizen as well as the tourists. This research aims a) to analyses the density distribution of vegetation and buildings, b) to map the distribution of LST and thermal comfort, and c) to analyses the effect of vegetation and building density on thermal comfort in Denpasar City. LST and thermal comfort were extracted using Landsat 9. Thermal comfort was assessed using urban thermal field variance index (UTFVI). Then, Pearson correlation and simple regression were applied to investigate the relationship and effect of Effect of vegetation and building densities to urban thermal comfort. In general, high density of vegetation is located in the northern part of North Denpasar District, north and east of East Denpasar District, and south of South Denpasar District. High density buildings are scattered in the southern Denpasar District, the western eastern Denpasar District, the northern South Denpasar District, and parts of the West Denpasar District. Low UTFVI values indicate good thermal comfort. Greater vegetation and lower building densities are likely to have an impact by improving thermal comfort levels in a location. This research can be served as a guidance in urban heat island mitigation as well as ecological restoration planning.

Named Entity Recognition on Tourist Destinations Reviews in the Indonesian Language

To find information about tourist destinations, tourists usually search the reviews about the destinations they want to visit. However, many studies made it hard for them to see the desired information. Named Entity Recognition (NER) is one of the techniques to detect entities in a text. The objective of this research was to make a NER model using BiLSTM to detect and evaluate entities on tourism destination reviews. This research used 2010 reviews of several tourism destinations in Indonesia and chunked them into 116.564 tokens of words. Those tokens were labeled according to their categories: the name of the tourism destination, locations, and facilities. If the tokens could not be classified according to the existing categories, the tokens would be labeled as O (outside). The model has been tested and gives 94,3% as the maximum average of F1-Score.