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. A website is a crucial digital promotion medium for companies to convey information and attract potential customers. However, many websites experience low user interaction despite having high visitor traffic. This study aims to analyze the effectiveness of A/B Testing implementation in improving the performance of the PT Pamor Putra Mandiri website. A quantitative experimental approach was used, applying A/B Testing to two page variations: Variation 1 (Rafting & Outdoor Activity theme) and Variation 2 (Camping & Accommodation theme). The evaluation focused on three main performance metrics: Click, Page Visit, and Engagement. The results show that Variation 1 consistently outperformed Variation 2 across all metrics. Statistical testing using a two-proportion z-test confirmed that these differences were statistically significant (p-value < 0.05). Therefore, A/B Testing proves to be an effective method in identifying superior content strategies and page structures, as well as a relevant tool for data-driven decision-making in corporate website development.

Tourism regulations play a critical role in shaping destination competitiveness and influencing tourist travel decisions, yet empirical evidence on their effectiveness across different institutional contexts remains limited. This study investigates the impact of tourism regulations on tourist visit performance through a comparative quantitative analysis of Indonesia and Singapore. Using panel data covering the period 2010–2023, this research employs a fixed-effects regression model to examine the relationship between regulatory quality and tourist arrivals, while controlling for economic conditions and transport infrastructure. The findings reveal that tourism regulations have a positive and statistically significant effect on tourist visit performance in both countries. However, the magnitude of the effect is substantially stronger in Singapore, indicating higher regulatory efficiency and institutional effectiveness in translating policy interventions into tourism demand. These results support institutional and tourism demand theories, emphasizing that regulatory quality, rather than regulatory volume, is a key determinant of tourism performance. The study contributes to the tourism policy literature by providing cross-national empirical evidence on regulatory impacts and highlighting the importance of governance capacity in tourism development. From a policy perspective, the findings suggest that countries should prioritize regulatory coherence, administrative efficiency, and adaptive governance to enhance tourism competitiveness and resilience.

The development of Digital Marketing and Electronic Word of Mouth (eWOM) has encouraged hospitals to adopt digital communication strategies to attract patients’ visit intentions. However, in public hospitals, the effectiveness of these strategies in influencing patient behavior still requires empirical validation. This study aims to analyze the influence of Digital Marketing and eWOM on patient visit intention, with Brand Awareness as an intervening variable at RSUD Cengkareng.This research employed a quantitative approach with an explanatory design. Data were collected from November to December 2025 from 100 general outpatient respondents selected using the Slovin formula and a simple random sampling technique. The data were gathered through structured questionnaires and analyzed using Structural Equation Modeling (SEM) with AMOS software.The results show that Digital Marketing and eWOM have a positive and significant effect on Brand Awareness. Both variables also significantly influence patient visit intention, with eWOM demonstrating the strongest effect. These findings indicate that information shared through digital platforms and patient recommendations plays an important role in shaping potential patients’ decisions to visit the hospital. However, Brand Awareness does not have a significant effect on patient visit intention and does not mediate the relationship between Digital Marketing, eWOM, and visit intention. This suggests that, in the context of RSUD Cengkareng as a public hospital, patients’ visit decisions are more directly influenced by digital information exposure and the credibility of online recommendations rather than by brand recognition alone.

This study aims to analyze consumer purchasing behavior on e-commerce platforms using the Decision Tree algorithm as an easily interpretable classification method. The dataset used consists of 12,330 transaction records with 18 attributes representing visitor characteristics and user activities during interactions with the e-commerce platform. The research stages include data exploration to identify initial patterns, data preprocessing to handle missing values and class imbalance, splitting the data into training and testing sets, training the Decision Tree model, evaluating model performance, and visualizing the tree structure to analyze decision rules.The test results show that the Decision Tree model with a maximum depth of 3 achieves fairly good performance, with an average accuracy of 89.78%, precision of 69.82%, recall of 59.95%, and an F1-score of 64.51% for the buyer class. The visualization of the decision tree provides clear interpretation of the main attributes influencing purchasing decisions, thereby facilitating understanding for non-technical decision makers. Overall, this study demonstrates that the Decision Tree method is effective in modeling consumer purchasing behavior in e-commerce and can be utilized as a basis for data-driven business decision making, particularly in marketing strategies and improving sales conversion rates.

Sustainable tourism village development requires effective multi-party collaboration between government, private sector, and communities. This study aims to analyze the implementation of Collaborative Governance in the Bakti BCA Program as a reference for accelerating village tourism in Tuban Regency. The research method used is a qualitative approach with data collection techniques through in-depth interviews, observation, and document analysis at four assisted locations namely Bektiharjo Tourism Village, Kelapa Beach, Geger Tourism Village, and Sowan Beach. The results showed that the Bakti BCA Program has successfully implemented Collaborative Governance principles through inclusive multi-stakeholder involvement, formal and structured collaboration processes, consensus-based decision making, and shared value creation. The program had a significant positive impact with a 428% increase in total tourist visits, 559% growth in MSMEs, and 156% increase in community income during the 2021-2024 period. The collaboration between PT Bank Central Asia Tbk, Tuban Regency Government, and local communities can serve as a reference model for sustainable tourism village development in other regions with strengthening self-reliance strategies for long-term sustainability.

This study examines the effect of consumer involvement on purchase intention toward Reavers ID sportswear products, focusing on cognitive involvement, affective involvement, enduring involvement, and situational involvement. The research addresses the problem of how different dimensions of consumer involvement influence consumers’ intention to purchase in the context of bazar-based marketing, where purchasing decisions are shaped by both rational evaluation and situational factors. The main objective of this study is to analyze the individual and simultaneous effects of the four involvement dimensions on consumers’ purchase intention. A quantitative approach with a causal design was applied, using survey data collected from 160 respondents who had visited the Reavers ID bazar and showed interest in purchasing sportswear products. Data were analyzed using multiple linear regression with the assistance of SPSS, supported by validity, reliability, and classical assumption tests. The results show that cognitive involvement, affective involvement, enduring involvement, and situational involvement all have positive and significant effects on purchase intention, both partially and simultaneously. Cognitive involvement was found to have the most dominant influence, indicating that rational evaluation of product quality and benefits plays a crucial role in shaping consumers’ buying intentions. These findings suggest that purchase intention is strengthened through a combination of rational consideration, emotional attachment, long-term interest, and supportive purchasing situations. In conclusion, enhancing both informational and experiential aspects of marketing strategies is essential for increasing consumers’ purchase intention toward Reavers ID sportswear products.

One of the key instruments for advertising travel destinations is the growth of social media, particularly Instagram. Nevertheless, a large number of Instagram followers does not automatically translate into a large number of visitor visits. Rio By The Beach Beach in Kalianda, South Lampung had the most visitors during the 2025 holiday season, despite having fewer Instagram followers than other beach attractions. This condition suggests that the effectiveness of electronic word-of-mouth (E-WOM) and social media marketing may have a significant impact on travelers' decisions to visit. Thus, the purpose of this study is to ascertain how tourists' decisions to visit Rio By The Beach in Kalianda, South Lampung, are influenced by Instagram social media marketing and electronic word-of-mouth. This study examines 170 visitors to Rio By The Beach using a quantitative methodology and selective sampling strategies. Questionnaires were sent as part of the data collection process, and SPSS software was utilized for multiple linear regression data analysis. The study's findings show that electronic word-of-mouth and Instagram social media marketing significantly and favorably influence travelers' decisions to visit. Electronic word-of-mouth has a greater impact than the other one. The study's conclusions suggest that tourism destination managers should concentrate their marketing efforts more on user interaction, high-quality information, and developing travel experiences that can promote the creation of positive electronic word-of-mouth (E-WOM) in order to boost travelers' decisions to come.

This think about focuses to analyze the affect of traveler attractions, Advancement, and facilities on the choice to visit the Saung Z guest interest in Karang Tanding Town, Empat Lawang Run the show. This consider is impelled by the potential of sharia tourism as an effort to make neighborhood tourism that prioritizes Islamic values. This consider livelihoods fundamental data with a quantitative approach. The people in this consider is generally 18,000 visitors per year. The reviewing of this consider was carried out by purposive testing with a include up to of 100 respondents going to the guest interest. The examination methodology utilized in this consider is authenticity testing, faithful quality, classical assumption testing, and hypothesis testing utilizing IBM SPSS 22 examination. The results of this study show that tourist attractions, promotions, and facilities have a positive and significant influence on the decision to visit. The proposals of the comes around of this consider are the noteworthiness of more fruitful constrained time strategies, most extraordinary organization of traveler attractions and making strides the quality of workplaces that back guest reassurance in the midst of their visits and to draw in guest captivated This ask approximately is expected to contribute to the advancement of the tourism fragment, especially in Empat Lawang Run the show.

This study aims to determine the effect of room rates and room facilities on guest satisfaction at Rocky Plaza Hotel Padang. This type of research is quantitative descriptive research with causal associative methods. The population in this study is consumers who have visited Rocky Plaza Hotel Padang with a sample of 354 respondents. The data in this study used primary data and secondary data. The research instrument uses questionnaires arranged according to the Likert scale.instrument trials use validity tests and reliability tests. Data were analyzed using data metabulation and descriptive data. The results of this study are that room prices at Rocky Hotel Padang show a good category with 67.57%, the level of achievement of respondents in the room price variable is at 67.57% which is categorized as good, which is in accordance with the level of respondents' achievements which are at 66% - 85% is declared a good category. Room facilities at Rocky Hotel Padang show a good category with 66.28%, the level of achievement of respondents in the variable room price is at 66.28% which is categorized as good, which is in accordance with the level of respondents' capian which is at 66% - 85% is declared a good category. The decision to stay at Rocky Hotel Padang shows a sufficient category with 60.93%, the level of achievement of respondents in the variable decision to stay is at 60.93% which is categorized as good, which is in accordance with the level of respondents' achievements which are at 66% - 85% is declared good. Room rates have a positive and significant effect on the decision to stay at Rocky Hotel Padang. Room facilities have a positive and significant effect on the decision to stay at Pangeran City Hotel Padang.  

This study aims to determine the influence of tourist experience, service quality, and tourist attractions on revisit intention in Pancoh Ecotourism Village. This village is one of the developing ecotourism-based tourist destinations in the Special Region of Yogyakarta and attracts tourists through its unique nature and local culture. The research sample consisted of 100 respondents selected using a non-probability sampling technique with a purposive sampling approach, namely tourists who have visited Pancoh Ecotourism Village. Data collection was carried out by distributing questionnaires, then analyzed using the partial least squares structural equation modeling (SEM-PLS) method with the WarpPLS application version 8.0 to test the relationship between variables. The results showed that the variables of service quality and tourist attractions have a positive and significant effect on revisit intention. This indicates that improving service quality, such as friendliness, accuracy, and comfort, as well as the development of tourist attractions in the form of natural beauty, local culture, and supporting facilities can encourage tourists to revisit. However, the variable of tourist experience did not have a significant effect on revisit intention, which means that individual experience is not yet a major determining factor in influencing tourist decisions. These findings emphasize the importance of a destination management strategy that focuses on improving the quality of services and tourist attractions to strengthen the sustainability of Pancoh Ecotourism Village.

Sustainable tourism aims to maximize the potential of travel destinations while maintaining a careful balance between social, economic, and environmental factors, and coastal tourism such as that found at Mutun Beach in Lampung illustrates both the promise and the urgency of this approach. Coastal tourism is one of the fastest-growing segments of the global travel industry, offering visitors natural beauty, recreational activities, and cultural experiences that generate significant income for local economies. In Indonesia, beaches are major attractions that can boost regional development through job creation, small business opportunities, and improved infrastructure. Mutun Beach, a well-known coastal destination on the southern coast of Sumatra, contributes greatly to the Regional Original Income (PAD) of Lampung Province and provides livelihoods for surrounding communities. Yet despite its popularity, the area continues to face persistent problems such as weak administrative management, limited community participation, inadequate facilities, and signs of environmental degradation, all of which threaten its long-term sustainability. This service project therefore focuses on designing a comprehensive plan for sustainable tourism growth at Mutun Beach for the 2025–2030 period. A participatory strategy is employed through Focus Group Discussions (FGD) involving local government, tourism stakeholders, community members, academics, and potential investors to ensure inclusive decision-making. The resulting five-stage roadmap emphasizes strengthening tourism regulations, constructing eco-friendly infrastructure, empowering residents with training and entrepreneurial opportunities, creating tourism products that highlight environmental and cultural values, and adopting digital marketing to reach broader audiences. Success indicators include increased regional revenue, rising visitor numbers, higher tourist satisfaction, and measurable improvements in coastal environmental health. Implementing this roadmap is urgent because coastal tourism directly supports economic growth, provides steady employment, and safeguards natural resources, ensuring that Mutun Beach remains both competitive and environmentally resilient for generations to come.

Bali tourism is currently facing challenges such as environmental degradation and overtourism due to the massive influx of visitors. As a solution that has been implemented in various countries, the Tourist Levy began to be applied in Bali on February 14, 2024, through Regional Regulation No. 6 of 2023, known as the Foreign Tourist Levy, with the aim of protecting Bali’s nature and culture towards quality tourism. This research becomes urgent to examine the implications of the foreign tourist levy on Bali’s sustainable tourism. Although this regulation has noble intentions, its implementation has generated various responses from international tourists and tourism stakeholders in Bali. This condition has prompted the author to conduct an in-depth study. The objectives of this research are: (1) To analyze the implementation of the foreign tourist levy (International Tourist Levy) policy in Bali, (2) To analyze the challenges in implementing the foreign tourist levy (International Tourist Levy) policy on sustainable tourism in Bali, and (3) To analyze the implications of the foreign tourist levy (International Tourist Levy) policy for international tourists and tourism stakeholders in realizing sustainable tourism. The method used in this research is a descriptive approach. The types of data employed are qualitative and quantitative data. Data collection methods include observation, interviews, questionnaires, and documentation, analyzed using qualitative descriptive data analysis techniques. The results of this study indicate that the International Tourist Levy has great potential in strengthening sustainable tourism in Bali. The majority of tourists support the sustainability goals of this policy, although some express concerns about the transparency of fund utilization and the impact of additional costs on travel decisions. Meanwhile, tourism industry players demonstrate positive adaptation, with emphasis on the need for strengthening socialization, transparency, and collaboration among stakeholders. This research recommends enhancing public communication and conducting regular evaluations of the policy to be more responsive to the dynamics and needs of tourists. Thus, this policy is expected to serve as a model for foreign tourists’ contributions in supporting the preservation of Bali’s cultural and natural heritage in a sustainable manner.

This study discusses the level of participation of elderly people in Mantang Baru Village in routine health checks. The main objective is to see how active they are in participating and what makes them interested or reluctant to attend health checks. This study uses a quantitative approach with the aim of measuring the level of participation of elderly people in health check activities in Mantang Baru Village. Data was collected using direct surveys of each elderly person's home, which contained questions related to the frequency of health check visits, motivation, and barriers to health checkups for the elderly. The population in this study was all elderly people aged 60 years and above who reside in Mantang Baru Village. The results showed that most elderly people were quite diligent in attending health checkups because they realized the importance of maintaining their physical condition. Factors such as family support, ease of access to health check locations, and their knowledge about health significantly influence their decision to participate. In conclusion, if health education and facilities can be further improved, elderly participation will certainly increase, thereby helping to maintain their health better. The role of health cadres is very significant in encouraging elderly participation through a personal approach and continuous education.

Distribution is an important aspect that affects the operational efficiency of a company, especially in terms of goods delivery. This study aims to develop an optimization model for LPG gas distribution routes using Excel Solver based on geographic coordinate conversion. In this study, the method used includes converting geographic coordinates from decimal to Degree-Minute-Second (DMS) format, followed by conversion to kilometers to form a more accurate distance matrix. The optimization model was built using the Capacitated Vehicle Routing Problem (CVRP) approach, which takes into account vehicle capacity constraints (a maximum of 560 cylinders per truck) and the limited number of available fleets, which is only one truck. The results show that coordinate conversion produces high accuracy in calculating distances between distribution locations. By using Excel Solver, the optimization solution successfully minimizes the total distance traveled compared to the conventional route, where distribution is carried out more evenly to 57 scattered LPG base locations. The addition of Solver Parameters Evolutionary and All Different constraints proved effective in avoiding duplication of visits and producing optimal distribution routes. This solution not only improves distribution time and cost efficiency, but also improves service to customers by reducing delivery delays. The success of this optimization model is expected to be implemented by other distribution companies to improve their operational performance. This study also highlights the importance of selecting the right software to aid the distribution optimization process. Excel Solver, despite its simplicity, proved highly effective in solving complex distribution routing problems, especially when combined with coordinate conversion techniques that yield more accurate distances. Furthermore, the application of the CVRP method enabled more efficient decision-making in determining distribution routes, taking into account vehicle capacity and fleet limitations.

This study examines the influence of product quality, service quality, and word of mouth on purchase decisions at DNA Spot Café Surakarta, based on 100 randomly selected respondents. Multiple linear regression analysis shows that service quality and word of mouth have a positive and significant effect, while product quality is not significant. The coefficient of determination of 61.3% indicates that the independent variables explain most of the variation in purchase decisions, contributing to marketing management research in the café industry. The results highlight the crucial role of service quality in shaping customer perceptions and driving decision-making in the café industry. High-quality service fosters positive customer experiences, which, in turn, encourage repeat visits and enhance loyalty. Additionally, the significant influence of word of mouth underscores the importance of social interactions and customer recommendations in the decision-making process, especially in a service-based business like a café, where personal experiences are often shared and valued among peer groups. Conversely, the insignificance of product quality suggests that while product standards are important, they may not be the primary driver of purchase decisions at DNA Spot Café. This indicates that customers may prioritize the overall experience, atmosphere, and peer recommendations over product differentiation when choosing where to dine or spend leisure time. These findings contribute to the body of marketing management research, particularly in the context of the café industry, by emphasizing the strategic importance of service excellence and customer engagement strategies to enhance brand reputation and influence consumer behavior. Future research could explore additional factors such as pricing, promotional strategies, and customer loyalty programs to provide a more comprehensive understanding of purchase decision dynamics.

This study aims to examine the influence of tourist behavior on interest in visiting historical tourist destinations in Bandung, with a focus on Generation Z as a growing potential tourist segment. Tourist behavior in this context is analyzed through four main factors, namely cultural, social, personal, and psychological factors that theoretically can influence tourist decisions in choosing a destination. This study uses a quantitative approach with a descriptive-verification method, where primary data is obtained by distributing questionnaires to respondents included in the Generation Z category and who have or have the potential to visit historical tourist destinations in Bandung. The data analysis technique used is Partial Least Square (PLS), because it is able to test the relationship between variables simultaneously and partially. The results show that tourist behavior simultaneously has a significant effect on interest in visiting historical tourist destinations. However, partial analysis shows that not all factors contribute equally. Social, personal, and psychological factors are proven to have a significant influence on the interest in visiting Generation Z. This indicates that social interaction, lifestyle, individual characteristics, and motivation and psychological needs are more dominant in encouraging Generation Z to choose historical tourism as a destination. On the other hand, cultural factors do not show a significant influence, indicating that cultural background is not a major consideration in Generation Z's travel decisions. This finding provides practical implications for managers of historical tourism destinations in Bandung City, namely the need to develop promotional strategies and service development that emphasize social aspects, personalization of experiences, and fulfillment of the psychological needs of Generation Z. Thus, the appeal of historical tourism can be improved and be more relevant to the preferences of the younger generation.  

This study aims to examine the influence of the marketing mix on the sales volume at Senyala Space coffee shop, focusing on four independent variables: product, price, place, and promotion. The research method used is quantitative with a descriptive approach. The population of the study consists of Senyala Space customers from 2020 to 2024, and the sample was selected using nonprobability sampling and Slovin’s technique to determine a representative sample size. Data was collected through surveys and interviews with customers who visited Senyala Space during the specified period. Data analysis was conducted using several statistical tests, including validity testing, reliability testing, normality testing, linearity testing, multicollinearity testing, heteroscedasticity testing, and multiple linear regression analysis. Additionally, the coefficient of determination (R²), partial test (t-test), and simultaneous test (F-test) were used to examine the effect of independent variables on the dependent variable. All analyses were performed using IBM SPSS Statistics 23. The results show that the marketing mix significantly affects the sales volume at Senyala Space. Of the four marketing mix variables analyzed, price was found to have a significant negative effect on sales volume, indicating that an increase in price tends to decrease sales volume. On the other hand, the other three variables—product, place, and promotion—have a significant positive effect on sales volume. This suggests that improvements in product quality, strategic location selection, and effective promotions can increase sales at Senyala Space. These findings provide recommendations for Senyala Space’s management to enhance their marketing strategies by considering the factors influencing customer purchasing decisions, in order to boost sales volume in the future.

This research investigates the impact of tourist attractions, service quality, and electronic word of mouth (e-WOM) on visitors’ intention to revisit Sendang Tourism Village, located in Tulungagung, East Java. Additionally, the study explores the function of visitor satisfaction as an intermediary variable and digital promotion as a potential moderator. The study emerged from the concern over fluctuating visitor numbers despite Sendang’s rich appeal in terms of natural landscapes, cultural heritage, and traditional charm. A quantitative method was applied, making use of a structured data collection process structured survey distributed to 138 individuals who had previously visited the site. The data were examined through Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate and interpret the relationships between the research variables both the direct and mediated pathways between variables. This technique was chosen for its ability to explain complex relationships within behavioral research. The results reveal that tourist attraction, service quality, and e-WOM have a significant positive influence on revisit intention. Furthermore, tourist satisfaction was shown to act as a bridging variable between these predictors and return visits. On the other hand, digital promotion was not found to significantly moderate these effects. This indicates that digital marketing, while useful, may not independently boost visitor return rates unless paired with strong destination quality and positive visitor experiences. From a conceptual standpoint, the study contributes to tourism marketing discourse by incorporating both mediation and moderation into the revisit intention framework. In practical terms, the findings highlight the need for tourism managers to prioritize visitor satisfaction and enhance the core travel experience. Digital tools should complement rather than replace genuine service improvements and compelling destination features to effectively encourage repeat tourism.

This study aims to analyze and compare the performance of the Naive Bayes, K-Nearest Neighbors (KNN), and Decision Tree algorithms in predicting the purchase intention of e-commerce visitors using the Online Shoppers Purchasing Intention Dataset, which consists of 12,330 records and 18 variables, with the Revenue variable serving as the classification target. The preprocessing stage involved transforming categorical and boolean variables into numerical form, standardizing features using StandardScaler, and splitting the dataset into 80 percent training data and 20 percent testing data. Model evaluation was conducted using accuracy, precision, recall, F1-score, and ROC-AUC metrics, and was further strengthened by 10-fold cross-validation to obtain more stable results. The findings indicate that KNN achieved the highest accuracy of 0.866180, while Naive Bayes produced the highest recall value of 0.690998 and the highest ROC-AUC value of 0.821696. Meanwhile, Decision Tree demonstrated relatively balanced performance with an accuracy of 0.857259 and an F1-score of 0.571776, whereas the cross-validation results identified KNN as the model with the highest average accuracy of 0.8770. These findings suggest that the selection of a classification model for purchase intention prediction cannot rely solely on a single evaluation metric, as each algorithm possesses different strengths. Therefore, a comparative approach among algorithms can help determine the most suitable model for supporting consumer behavior analysis on e-commerce platforms.

The coffee farming sector in Gunungmanik Village, Indonesia, plays a significant role in the local economy. However, the monitoring and management of coffee crops remain largely manual and conventional, making it difficult for farmers to respond quickly to environmental threats such as drought, pests, or sudden temperature shifts. This research presents the development of iotgm.id, a web-based monitoring system integrated with Internet of Things (IoT) devices designed to provide real-time environmental data for coffee plantations. The system measures key parameters including temperature, soil moisture, and motion detection (as a proxy for pest activity), and delivers this data via a user-friendly web interface. It also features digital farm record management, real-time alerts for abnormal conditions, and data visualization through interactive dashboards. Field testing with local farmers showed that the system improves decision-making, speeds up responses to environmental changes, and reduces the need for direct field visits. Unlike earlier systems that often required technical expertise or focused on single parameters, this system offers multi-parameter monitoring and is accessible to farmers without advanced digital literacy. The system bridges the gap between sophisticated agricultural technologies and practical field-level application. It contributes to the adoption of precision agriculture in rural areas, offering a scalable model for broader implementation in similar contexts