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This study investigates the influence of coffee brewing device branding on the sensory perception of coffee flavor at TEFA Javanica, Politeknik Negeri Banyuwangi. Focusing on three V60 dripper brands—Hario (Japanese brand), Indotara (local generic brand), and One Two Cup (local brand with English naming)—the research employs an experimental quantitative approach combining blind and branded taste tests. The blind test eliminates brand influence, allowing assessment of the inherent coffee taste, while the branded test examines how brand expectations affect flavor experience and consumer perception. Sensory evaluation follows the Specialty Coffee Association's standardized cupping protocol, assessing aroma, taste, aftertaste, balance, and overall impression. Data from 45 purposively selected experienced coffee tasters were analyzed using the McNemar test to statistically compare preferences between blind and branded conditions. Results show significant brand effects on consumer perception for two of the three brands tested, highlighting branding’s role in shaping sensory experience. These findings offer valuable insights for coffee producers and marketers to optimize brewing device selection and branding strategies, enhancing customer satisfaction and competitive positioning. Academically, the study enriches literature on sensory branding in coffee, emphasizing the importance of equipment branding in specialty coffee markets. This research also lays groundwork for future studies exploring marketing and consumer psychology aspects within the specialty coffee industry.

This study aims to analyze the transformation of promotional strategies among Micro, Small, and Medium Enterprises (MSMEs) in Suka Makmur Village after utilizing Google Maps as a digital marketing platform. The research focuses on identifying changes in promotional approaches, MSME owners’ perceptions of the effectiveness of Google Maps, and its impact on business visibility and sales performance. The study employed a participatory approach through the Community Service Program (KKN), consisting of several stages, including surveys, socialization, training, and direct mentoring. The research subjects comprised three MSMEs: Seblak Prasmanan, Warung Kopi, and Rumah Jajan By Nisa. The findings indicate that, prior to the intervention, promotional activities were predominantly traditional and limited in reach. After adopting Google Maps, the businesses became more easily discoverable, received positive reviews, and successfully reached customers beyond the local area. This study concludes that the effective use of Google Maps enhances the digital identity of MSMEs, broadens market reach, strengthens competitiveness, and contributes to the local economic growth of Suka Makmur Village.

This study aims to examine the effect of product quality, promotion, and price perception on customer satisfaction at Mie Gacoan in Kutabumi, Tangerang Regency. The study population consists of consumers who have purchased Mie Gacoan, with a sample of 100 respondents selected using a non-probability sampling technique. Data was collected through questionnaires and analyzed using SPSS version 22. This study investigates the relationship between the independent variables (product quality, promotion, and price perception) and the dependent variable (customer satisfaction). The results of the analysis show that product quality, promotion, and price perception have a positive and significant effect on customer satisfaction at Mie Gacoan. High product quality, attractive promotions, and reasonable price perceptions contribute to increased customer satisfaction, which in turn can lead to greater loyalty and repurchase intentions. Based on these findings, it is recommended that Mie Gacoan management continuously improve their product quality and promotions, as well as maintain a favorable price perception among consumers. Enhancing these factors is expected to attract more customers and improve Mie Gacoan’s competitiveness in the market, particularly in the Kutabumi area and its surroundings. Therefore, this study provides valuable insights for marketing strategies and business development at Mie Gacoan, contributing to the growth and success of the brand in the competitive food service industry.

In the current era, the land transportation sector in Indonesia is still in the development stage, both for private and public use. The needs of modern society, which demands that everything be more practical and efficient, has led to an increase in demand for motor vehicles, especially car rental services, every day. This study uses a quantitative method with a focus on analyzing data obtained from questionnaires. The independent variables in this study consist of price (X1), promotion (X2), and service quality (X3), while the dependent variable is customer decision (Y). The research data was collected from 100 respondents who used SJ Trans Rent Car services in Sidoarjo and analyzed statistically using SPSS version 25. The analysis results show a regression model of Y = 1.791 + 0.148X1 + 0.220X2 + 0.227X3 + e. If the values of X1, X2, and X3 are zero, then the Y variable remains at 1.791. However, a one-unit increase in price perception contributes positively to customer decisions, as do effective promotions and good service quality, which have a significant impact on increasing customer decisions. The three variables were found to have a positive relationship with Y, both partially and simultaneously. These findings confirm that the right pricing strategy, effective promotion, and high-quality service are important factors that service providers must consider in order to increase competitiveness and build customer loyalty in the car rental industry.

In today’s digital era, the demand for fast, stable, and affordable internet services continues to grow alongside the rapid advancement of communication technology. Biznet Network, as one of the leading internet service providers in North Jakarta, is required to deliver optimal service quality and competitive pricing in order to maintain customer loyalty. This study aims to examine and analyze the influence of service quality and price on customer loyalty toward Biznet Network. The research employed a descriptive quantitative method with a sample of 100 respondents selected using purposive sampling from the population of Biznet customers in North Jakarta. Data were collected through observation, interviews, and questionnaires using a Likert scale, and then analyzed using validity and reliability tests, classical assumption tests, multiple linear regression analysis, t-tests, F-tests, and the coefficient of determination (R²). The findings reveal that service quality (X₁) has a significant negative effect on customer loyalty (Y), with a calculated t-value of -2.270 greater than the critical t-table value of 1.984, indicating that a decline in service quality leads to decreased customer loyalty. Similarly, price (X₂) has a significant negative effect on customer loyalty, with a calculated t-value of -2.023 > 1.984, suggesting that unfavorable pricing perceptions reduce loyalty. The F-test results show that service quality and price simultaneously have a significant effect on customer loyalty, with an F-value of 7.686 > 3.09 and a significance level of 0.001 < 0.05. The R² value of 0.137, or 13.7%, indicates that these two variables explain customer loyalty, while the remaining 86.3% is influenced by other factors not examined in this study.

This study aims to empirically analyze the influence of Brand Image, Service Quality, and  Price on Guest Loyalty in CV Betah Banget Corp, an entity in the accommodation industry that faces fierce competition in the digital era. The quantitative method was used with a multiple linear regression analysis approach to test the relationships between variables. The results of the partial test showed that Brand Image had a significant influence on Guest Loyalty (Count = 2.701 > Ttable = 1.659; sig = 0.008 < 0.05), confirming that positive perception of Brand Image is a key factor in building customer loyalty. Service quality showed a very significant influence (Thcal = 7,338 > Ttable = 1,659; sig = 0.000 < 0.05), strengthening the role of service as a key driver of guest retention amid increasing consumer expectations. In contrast, the  Price variable did not show a significant influence on Guest Loyalty (Thcal = 0.709 < Ttable = 1.659; sig = 0.480 > 0.05), indicating that the  Price aspect is not a major determinant in a customer's decision to remain loyal. These findings provide strategic implications for accommodation industry players to prioritize strengthening Brand Image and improving service quality in an effort to maintain customer loyalty.

This study investigates the relationship between brand image and service quality in maritime towage operations, using TB Maiden Central of PT. Multi Jaya Samudra as a case study. The research employs a descriptive quantitative approach supported by qualitative thematic analysis. Data were collected from 100 respondents through questionnaires and interviews with stakeholders including ship agents, pilots, and company personnel. Results show that brand image significantly influences service quality, with a positive impact reaching 79.8%. Key determinants include safety reputation, operational timeliness, professionalism, and environmental stewardship. The qualitative analysis highlights how visible safety practices and punctual operations reinforce brand credibility. Beyond statistical findings, the study reveals that trust and reliability play a central role in shaping customer perceptions, with stakeholders emphasizing the importance of transparent communication and consistent service delivery. Moreover, environmental responsibility, such as reducing emissions and complying with green port initiatives, strengthens the company’s image in the eyes of global partners. The integration of quantitative and qualitative insights provides a more holistic understanding of how operational performance directly influences market competitiveness through brand positioning. Findings contribute to maritime management scholarship by extending service quality frameworks into towage contexts, while also offering practical implications for enhancing competitiveness and sustainability. Overall, the study underscores the urgency of aligning brand image with operational excellence to meet rising global standards in maritime services and ensure long-term business growth.

This research aims to determine the influence of Content Marketing, Influencer Marketing, and Customer Engagement on the Purchase Decisions of The Face Shop products on the Shopee marketplace. The study adopts a quantitative method with a simple random sampling technique, involving 113 respondents who are consumers of The Face Shop. Data were collected through structured questionnaires and analyzed using SmartPLS 4 and Microsoft Excel 2019 to test the research model. The results indicate that, simultaneously, Content Marketing, Influencer Marketing, and Customer Engagement significantly affect Purchase Decisions, suggesting that the combined effect of these digital marketing strategies plays a crucial role in shaping consumer behavior on e-commerce platforms. However, partial testing shows a more nuanced result: Content Marketing and Customer Engagement have significant positive effects on Purchase Decisions, whereas Influencer Marketing does not show a significant influence. Among the variables tested, Customer Engagement emerges as the most dominant factor, highlighting the importance of fostering strong interactions and long-term relationships between the brand and its customers. The research model is able to explain 59.9% of the variation in Purchase Decisions, with the remaining percentage likely influenced by other external factors such as brand image, price perception, or marketplace features. These findings provide practical implications for marketers, emphasizing the need to prioritize customer engagement strategies and high-quality content marketing in order to drive purchase decisions in highly competitive online marketplaces.

This research employs a qualitative approach to investigate how corporate brand image shapes the quality of maritime services, using a comprehensive stakeholder perspective within the Indonesian shipping industry. The study adopts PT. Multi Jaya Samudra’s TB. Maiden Central operations as its focal case, gathering insights from maritime professionals, academic experts, and industry practitioners to better understand the interconnection between brand perception and service delivery. Data were collected through semi-structured interviews with 65 participants, followed by a thematic analysis to identify emerging patterns. The results highlight that corporate brand image plays a substantial role in influencing how service quality is perceived, with a positive correlation of 79.8% found between brand strength and customer satisfaction. Key themes emerging from the analysis include the enhancement of professional trust, the incorporation of educational elements into industry practices, and the promotion of operational excellence. A robust and reputable brand is shown to provide shipping companies with a distinct competitive edge, while also aligning with broader objectives such as sustainable maritime growth and the adoption of digital innovation. Beyond practical business value, the research enriches the field of maritime business management by presenting a stakeholder-driven framework for brand development, offering opportunities for the integration of industry-relevant curricula in maritime vocational education, and promoting sustainable transportation practices. These findings yield actionable implications for Indonesian shipping enterprises that aim to strengthen brand positioning, improve service performance, and remain competitive in an increasingly dynamic and environmentally conscious maritime sector.

This study aims to analyze the effect of Service Quality, Price Perception, and Facilities on Customer Satisfaction at Barbershop Alsasumo Batam. The method used in this study is quantitative, with primary and secondary data collected through questionnaires. A sample of 243 respondents was determined using Slovin's formula and simple random sampling technique. Data analysis was performed using SPSS 27 software. Based on regression analysis, the following regression equation was obtained: Y = 0.172 + 0.401X1 + 0.367X2 + 0.284X3 + e. The results of the study indicate that Service Quality (X1), Price Perception (X2), and Facilities (X3) have a positive and significant impact on Customer Satisfaction (Y). The t-values for each variable are 8.504 for Service Quality, 8.725 for Price Perception, and 6.939 for Facilities, with a t-table value of 1.969. Simultaneously, all three independent variables significantly influence Customer Satisfaction with an F-value of 136.457, which is higher than the F-table value of 2.65. The coefficient of determination (R²) of 0.631 indicates that 63.1% of the variation in Customer Satisfaction is explained by these three variables, while the remaining 36.9% is influenced by other factors not covered in this study. These findings emphasize that Service Quality, Price Perception, and Facilities significantly affect Customer Satisfaction at Barbershop Alsasumo Batam.

This study aims to analyze the effect of promotional strategies on consumer purchasing decisions for Freedom Street Wear products on the Shopee platform. The research population consists of Shopee users who have purchased products from official stores. A quantitative approach using a survey method was applied, and data was collected from 100 respondents selected through non-probability sampling. Multiple linear regression analysis was used to test the influence of each variable, both partially and simultaneously. The findings show that Double Date Discount has a positive and significant effect on purchasing decisions. Meanwhile, Free Shipping and Cash on Delivery (COD) did not have a significant effect, although COD showed a positive trend. Simultaneously, these three variables were found to have a significant effect on consumer purchasing decisions. In addition to examining the individual effects of promotional strategies, this study also explored the interactive relationships between the variables. It was found that while Free Shipping and COD did not individually influence purchasing decisions, their combination with other promotional strategies like Double Date Discount enhanced the overall effectiveness of the promotions. This suggests that promotional strategies should be strategically integrated to maximize their impact on consumer behavior. Furthermore, the study highlights the growing importance of e-commerce platforms like Shopee in influencing purchasing decisions and shaping consumer perceptions. As online shopping continues to grow, understanding the nuances of promotional strategies is essential for businesses aiming to attract and retain customers in a competitive market. The findings contribute to a deeper understanding of the factors driving consumer purchasing decisions and offer valuable insights for businesses looking to optimize their promotional efforts in the online retail environment.

PaDi UMKM is a limited liability company (PT) and is classified as a closed PT. PT PaDi UMKM was established in 2020. The purpose of this study is to determine the optimization of digital public relations in improving image. The theories used in this study are digital public relations theory and image theory. This research approach uses a descriptive qualitative method, with primary data collection techniques in the form of interviews with three informants and an expert, and secondary data in the form of documentation, both data and images. The results of the study indicate that the optimization of digital public relations by PaDi UMKM plays an important role in improving brand image. Referring to Clea Bourne's theory, PaDi UMKM utilizes digital tools such as blogs, articles, and social media for one-way and two-way communication. This strategy is supported by media monitoring that includes content planning, trend utilization, and sentiment analysis to understand public opinion. The success of building a positive image is supported by attractive visual content, inspirational storytelling, and active interaction with the audience, as well as collaboration with the Ministry of State-Owned Enterprises that strengthens credibility. Challenges in the form of user complaints about the application system are handled through fast responses and responsive customer service. With a solution-oriented approach, appropriate education, and the use of digital platforms, optimizing digital public relations not only increases positive public perception but also strengthens customer loyalty, making PaDi UMKM a reliable B2B marketplace.

This research aims to analyze GoPay user sentiments on the X social media platform (formerly known as Twitter) using the Naive Bayes Classifier algorithm. Sentiment analysis was conducted to understand user perceptions and satisfaction levels towards GoPay digital payment services based on their shared comments and reviews. Data was collected through a tweet crawling process containing the keyword "GoPay" within a specific period. The research stages included data preprocessing (case folding, tokenizing, filtering, and stemming), sentiment labeling (positive, negative), word weighting using TF-IDF, and classification using the Naive Bayes algorithm. The results showed that from a total of 1,431 analyzed tweets, 797 data contained positive sentiments, and 643 data contained negative sentiments. With a classification accuracy rate reaching 82.94%. The most frequently positively commented factors included ease of use and offered promotions, while the main complaints were related to technical issues and customer service. This research provides insights for GoPay developers to improve services according to user feedback.  

This study employed a quantitative survey approach to know the effect of service quality and corporate culture on customer satisfaction at PT Bank SulutGo, Surabaya branch. The sample consisted of 94 customers selected through purposive sampling. Data were collected via structured questionnaires and analyzed using multiple linear regression. The multiple regression analysis results showed a coefficient of determination (R²) of 0,530, indicating that the two independent variables together explained 53% of the variable in customer satisfaction. The F-test yielded a value of 53,378 with a p-value of 0,000 (p < 0,05), indicating that the regression model was jointly significant and that service quality and corporate culture together influence customer satisfaction. Partial t-tests showed that the Service Quality variable (X1) significantly affected customer satisfaction with a t-value of 2,227 and a p-value of 0,028 (p < 0.05). Similarly, the Corporate Culture variable (X2) also significantly affected customer satisfaction with a t-value of 4,032 and a p-value of 0.000 (p < 0.05). These findings indicate that higher customer perceptions of service quality and corporate culture lead to higher satisfaction levels. Partial t-tests further revealed that both independent variables significantly affected customer satisfaction. The Service Quality variable (X1) had a significant effect on customer satisfaction, with a t-value of 2.227 and a p-value of 0.028 (p < 0.05). Similarly, the Corporate Culture variable (X2) also had a significant impact, with a t-value of 4.032 and a p-value of 0.000 (p < 0.05). These findings highlight the importance of both service quality and corporate culture in shaping customer satisfaction. The results suggest that improving service quality and fostering a positive corporate culture can significantly enhance customer satisfaction, which is critical in maintaining customer loyalty and competitive advantage in the banking sector.

Ensuring the delivery of high-quality public services within educational institutions is a critical factor for sustaining student satisfaction, institutional reputation, and overall organizational credibility. Service quality in higher education is often multidimensional and subjective, making its evaluation a challenging process. To address this complexity, the present study integrates the traditional Servqual model with fuzzy logic in order to handle the uncertainty and vagueness associated with human perceptions. The Servqual framework emphasizes five core dimensions of service quality, namely tangibles, reliability, responsiveness, assurance, and empathy, which together provide a comprehensive understanding of institutional service performance. The research was conducted at ITESA Muhammadiyah Semarang, where data collection was carried out through structured questionnaires designed to measure both student expectations and actual perceptions regarding institutional services. In order to capture the imprecise nature of these responses, three types of fuzzy numbers—triangular, trapezoidal, and shoulder fuzzy numbers—were applied to convert the linguistic assessments into measurable values. Subsequently, fuzzy gap analysis was performed to evaluate the discrepancy between expectations and perceptions across the five Servqual dimensions. The results of this analysis highlight that the integration of fuzzy logic into the Servqual model provides a more nuanced and flexible framework for assessing service quality compared to the conventional approach. It reduces the ambiguity in interpreting survey responses, thereby yielding more reliable insights into areas where service performance falls short of expectations. Furthermore, the study demonstrates that each dimension contributes differently to overall satisfaction, with responsiveness and assurance emerging as critical aspects requiring attention. In conclusion, the fuzzy-based Servqual model offers a robust methodological advancement in evaluating service quality within educational settings. The findings not only inform institutional leaders about current performance gaps but also provide actionable insights for continuous quality enhancement, policy formulation, and strategic decision-making to strengthen institutional competitiveness and credibility.

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 analyze the influence of brand image, product variety, and bundling price on purchasing decisions among X consumers. The method used is a quantitative approach with a causal research design, so as to be able to explain the cause-and-effect relationship between variables. The research data was obtained by distributing questionnaires to 96 respondents who are active consumers of X. To ensure data quality, a series of tests were conducted including validity, reliability, normality, linearity, multicollinearity, and heteroscedasticity. The main analysis used multiple linear regression supported by t-tests, F-tests, and coefficient of determination (R²) processed using SPSS software version 26. The results showed that brand image had a significant effect on purchasing decisions, indicating that consumers' positive perceptions of X's reputation were able to encourage higher purchasing interest. Bundling price also proved to have a significant effect, because the strategy of combining package prices was considered to provide economic benefits and added value for consumers. In contrast, product variety did not have a significant effect, indicating that consumers place more emphasis on brand image and pricing strategies than simply menu diversity. However, when tested simultaneously, all three variables were still shown to have a significant influence on purchasing decisions. The coefficient of determination value of 0.594 indicates that the combination of the three variables can explain 59.4% of the variation in purchasing decisions, while the remaining 40.6% is influenced by other external factors such as service quality, consumer trends, promotions, and customer experience. These findings reinforce the understanding that a strong brand image-based marketing strategy and the implementation of appropriate bundling prices can be key to increasing consumer appeal. For local coffee businesses like X, this study provides practical implications to focus more efforts on strengthening brand image, creating a consistent consumer experience, and optimizing pricing strategies.

This study aims to examine the influence of location, product variety, and brand image on savings customer loyalty at the Head Office of PT. BPR Jwalita Trenggalek Perseroda. Customer loyalty is a crucial factor for the sustainability of a banking institution, as loyal customers not only continue to use banking services but also tend to recommend them to others, thereby contributing to long-term growth. The variables examined in this study—location, product variety, and brand image—were chosen because they represent essential aspects that can strengthen the relationship between customers and the bank. This research employed a quantitative approach to ensure objectivity in data collection and analysis. The primary data were gathered through observation, interviews, and structured questionnaires distributed to savings customers of the bank, while secondary data were obtained through a literature review. The analytical techniques applied included validity and reliability testing to ensure the accuracy and consistency of the instruments, classical assumption tests to meet regression requirements, and multiple linear regression analysis to measure the influence of each independent variable on the dependent variable. Furthermore, hypothesis testing was conducted using the t-test and F-test, complemented by the coefficient of determination to measure the explanatory power of the model. The findings reveal that: (1) location has a significant effect on customer loyalty, indicating that accessibility and convenience play a vital role in customer decisions to remain loyal; (2) product variety significantly influences customer loyalty, demonstrating that diverse and innovative savings products attract and retain customers; and (3) brand image also has a significant effect on customer loyalty, suggesting that trust and positive perceptions toward the bank strengthen long-term relationships. Finally, the study confirms that location, product variety, and brand image simultaneously exert a significant effect on customer loyalty. These results underscore the importance for banking institutions to continuously improve service accessibility, diversify financial products, and build a strong brand image in order to enhance customer loyalty and maintain competitiveness in the financial services industry.

The rapid growth of e-commerce platforms has significantly transformed the way consumers share and access product feedback. One of the widely used platforms in Indonesia is Shopee, where customers actively provide reviews of various products, including local skincare brands such as Kahf facial wash. Customer reviews on e-commerce platforms contain valuable information that can be analyzed to understand consumer opinions and preferences. Sentiment analysis, as a branch of natural language processing, enables the classification of textual data into categories such as positive, negative, or neutral. This study aims to classify Shopee user sentiments regarding Kahf facial wash products by implementing the Multinomial Naïve Bayes algorithm, a well-known probabilistic classifier suitable for text categorization. The research methodology consisted of several preprocessing stages, including data cleansing, case folding, tokenizing, stopword removal, and stemming, to prepare raw review texts for further analysis. For feature representation, the Term Frequency–Inverse Document Frequency (TF-IDF) method was applied to capture the importance of words across documents. To evaluate the classification performance, K-Fold cross-validation was employed with K values of 4, 5, 6, and 10 to ensure model reliability and robustness. Considering the issue of imbalanced datasets in user-generated reviews, the Synthetic Minority Over-sampling Technique (SMOTE) was utilized to balance the distribution of sentiment classes. Based on the confusion matrix, the Multinomial Naïve Bayes algorithm demonstrated effective performance in classifying sentiments, achieving satisfactory levels of accuracy, precision, and recall across different folds. These results indicate that the algorithm is capable of handling sentiment analysis tasks for local product reviews effectively. The findings of this study are expected to provide meaningful insights for businesses in understanding consumer perceptions, thereby supporting decision-making processes in product development, marketing strategies, and customer engagement for local brands.

This study aims to explore how users' perceptions of the chatbot on the Shopee platform influence user satisfaction and loyalty. The research employs a qualitative approach with in-depth interviews to gather users' experiences and views on their interactions with the chatbot. The findings reveal that three key factors—clarity of responses, ease of access, and relevance of information—are crucial in determining user satisfaction. Users who found the chatbot's responses clear and easily understood, along with quick access, were generally more satisfied with the service provided. However, despite achieving user satisfaction, loyalty to the platform has not been fully established. This is due to the chatbot's limitations in building emotional connections with users and its inability to handle more complex issues. While the chatbot is effective in providing automated solutions for simple problems, it lacks the empathy and personalized attention necessary when users encounter more intricate issues or require a deeper level of interaction. These findings highlight that although chatbots can enhance the efficiency of basic customer service, they cannot fully replace human interaction, particularly in customer service contexts that require emotional engagement and a deeper understanding of the user's needs. To foster stronger user loyalty, a combined approach involving both technology and human interaction is essential. The chatbot can address routine issues, while more complex matters should be referred to customer service representatives who can offer empathetic and tailored solutions. The recommendation from this study is for Shopee platform developers and sellers to strategically optimize chatbot use while maintaining human interaction that is adaptable, in order to enhance user satisfaction and loyalty.