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Vocational high school graduates are expected to master not only technical competencies but also interpersonal skills that support their readiness for the workplace. Field observations at SMK Pasundan 1 Bandung indicate that students in the Online Business and Retail (Bisnis Daring dan Ritel) program still show a low level of assertive communication, evidenced by their difficulty in expressing opinions confidently, refusing requests politely, and handling direct interaction with customers. This community service program (Program Kemitraan Masyarakat/PKM) was designed to develop students' assertive communication skills through the role-play method. The program consists of five stages: needs analysis, development of training materials and role-play scenarios, training and practice, evaluation and feedback, and continued mentoring. Students are placed in simulated roles such as seller, buyer, and observer in scenarios involving customer service, complaint handling, price negotiation, and teamwork. The information-dissemination approach combines material delivery, discussion, hands-on practice, and technical guidance. The program is expected to increase students' understanding of assertive communication concepts, strengthen their interpersonal communication skills, and provide an applied learning experience relevant to the demands of the retail and customer-service industry. The expected output of this activity is a scientific article published in a nationally accredited (Sinta) journal.

The increasing competition in the coffee shop industry requires Micro, Small, and Medium Enterprises (MSMEs) to continuously improve service quality and product quality to maintain customer satisfaction and business sustainability. Ngopi Pojok 98 experienced a decline in revenue over several months, indicating potential problems related to service performance and product consistency. This study aims to analyze the improvement of customer satisfaction after implementing service quality and product quality enhancements at Ngopi Pojok 98. This research employed a quantitative approach using a One Group Pretest–Posttest Design. The sample consisted of 50 respondents selected through purposive sampling. Data were collected using questionnaires administered before and after the improvement program and analyzed using validity tests, reliability tests, the Shapiro–Wilk normality test, and the Paired Sample t-Test with the assistance of SPSS software. The results showed that all instruments were valid and reliable. The normality test indicated a significance value of 0.291 (>0.05), confirming normal data distribution. Furthermore, the Paired Sample t-Test produced a significance value of 0.000 (<0.05), indicating a significant difference in customer satisfaction before and after the improvements. The average satisfaction score increased from 29.68 to 34.88. These findings confirm that enhancing service quality and product quality effectively improves customer satisfaction in coffee shop MSMEs.

VIP Driving Course is a driving course institution that focuses on safe and effective learning. This course has experienced problems in the last five months, there has been a decrease in the number of students, recorded from January to May, respectively, there were 47, 33, 29, 25, and 21 students. This indicates a customer satisfaction issue related to service quality. The purpose of this study was to identify service quality, analyze the gap value and identify service dimensions or attributes that are prioritized for improvement. The number of respondents used was 112 respondents. This study used the SERVQUAL method to measure the gap between student expectations and perceptions, and importance performance analysis to determine improvement priorities. The results showed six attributes with negative gap values ​​including comfort of facilities, clarity of material, availability of cars, responsiveness of service, clarity of information, and attention to safety, and seven attributes with positive gap values ​​including vehicle cleanliness, neatness of instructors, time discipline, fast administration, friendly service, openness to input, and orientation to student needs. SERVQUAL analysis shows 4 dimensions with negative values ​​including tangibles of -0.21, reliability of -0.32, responsiveness of -0.29, and assurance of -0.24, while the empathy dimension obtained a positive gap value of 0.06. This indicates that most services have not met student expectations. Based on the IPA analysis, there are 4 attributes in quadrant I that are the main priority for improvement, with suggestions including rearranging the waiting room, lighting, air circulation, and supporting facilities. Increasing the number of training cars, optimizing the delivery of schedule information, procedures through digital media, and increasing attention to driving safety. Improvement efforts are made to increase customer satisfaction.

This community service activity aimed to improve communication competence and customer experience among service actors in a higher education environment. The training was implemented at Gedung Aula KPA Politeknik Negeri Sriwijaya on 19 February 2026 under the theme of excellent service transformation based on integrity to support the institutional commitment toward an Integrity Zone and Corruption-Free Area. The method consisted of preparation, needs identification, interactive presentation, case-based discussion, service communication simulation, and reflective evaluation. The material emphasized service attitude, active listening, empathy, complaint response, and customer experience touchpoints in academic and administrative services. The activity showed that participants were able to identify the importance of consistent communication behavior, emotional control, and service recovery in creating positive experiences for students, lecturers, partners, and public stakeholders. The implication of this activity is the need for continuous service culture reinforcement through standard operating procedures, role-play-based training, and periodic evaluation of user satisfaction in higher education services.

This study aims to analyze the influence of digital experience and customer experience on passenger loyalty on the Progo Train route, Pasar Senen–Lempuyangan. The increasing digitalization of public transportation services through the Access by KAI application has highlighted the importance of examining the quality of digital experience and customer experience in maintaining passenger loyalty. The study employed a quantitative approach with a causal associative design. Data were collected from 150 respondents through a questionnaire with a five-point Likert scale using a purposive sampling technique. Data analysis was performed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4 software (Ringle et al., 2024). The results of the outer model evaluation showed that all indicators had outer loadings > 0.70, Average Variance Extracted (AVE) > 0.50, Composite Reliability (CR) and Cronbach's alpha > 0.70, thus all constructs were declared valid and reliable. The inner model test shows that digital experience has a positive and significant effect on passenger loyalty (β = 0.192; T = 2.237; p = 0.025). Customer experience also has a positive and significant effect on passenger loyalty (β = 0.243; T = 3.268; p = 0.001). The coefficient of determination (R²) of 0.133 indicates that both variables explain 13.3% of the variance in passenger loyalty. The customer experience variable has a more dominant influence than digital experience on Progo Train passenger loyalty.

The coffee shop industry has experienced substantial growth in recent years, creating intense competition that compels businesses to continuously enhance service performance in order to maintain customer satisfaction and market competitiveness. PT Jokopi Indonesia Group has encountered several service-related issues reflected in declining sales performance and recurring customer complaints, indicating the need for a comprehensive evaluation of service quality. This study aims to identify service attributes that fail to meet customer expectations and determine improvement priorities through the integration of the SERVQUAL and Kano methods. A quantitative approach was employed using questionnaire data collected from 50 customers who had prior experience with the company’s services. SERVQUAL was utilized to assess discrepancies between customer expectations and perceived service performance, while the Kano model was applied to classify attributes according to their contribution to customer satisfaction. The findings reveal that all evaluated attributes generated negative gap values, indicating that existing service performance has not yet reached the level expected by customers. The most critical gaps were identified in menu availability, air-conditioning and fan comfort, payment convenience, and straw availability. Kano classification further demonstrates that menu availability and thermal comfort facilities belong to the Must-Be category, meaning that failure to provide these attributes may trigger significant customer dissatisfaction. The integration of SERVQUAL and Kano highlights these attributes as the most urgent areas for improvement. The results provide managerial guidance for developing targeted service enhancement initiatives aimed at strengthening customer satisfaction, retention, and competitive advantage.

This study aims to analyze the strategic role of relationship marketing in sustaining long-term customer value among customers in Yogyakarta. A quantitative approach with an explanatory research design was employed. Primary data were collected through questionnaires distributed to 160 respondents selected using purposive sampling. Respondents were at least 17 years old, had purchased or used the company’s products or services at least twice within the last six months, and had experience interacting with the company through direct or digital channels. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that relationship marketing has a positive and significant effect on customer trust and customer satisfaction, both of which positively influence customer loyalty. Customer loyalty, in turn, significantly affects long-term customer value. Relationship marketing also directly influences long-term customer value, although indirect effects through trust, satisfaction, and loyalty provide stronger explanations. These findings confirm that relationship marketing is a strategic approach for building valuable long-term relationships. The study contributes to relationship marketing, commitment-trust, and customer value theories while providing managerial implications for sustaining business performance in competitive markets.  

The rapid growth of digital commerce has encouraged companies to integrate digital and physical marketing channels to create seamless and consistent customer experiences. This study aims to analyze the role of integrated marketing channels through omnichannel strategies, the utilization of Artificial intelligence (AI), and their impact on customer experience in the context of digital commerce. The study employs a Systematic literature review (SLR) approach by examining relevant scholarly articles related to omnichannel marketing, AI technologies, and customer experience. The findings indicate that integrated marketing channels supported by AI enhance service personalization, customer engagement, operational efficiency, and the quality of interactions between companies and customers. Furthermore, the implementation of omnichannel strategies contributes to higher customer satisfaction and loyalty by providing a more connected experience across multiple customer touchpoints. However, the implementation of integrated marketing channels still faces several challenges, including fragmented channel integration, technological complexity, high investment requirements, and concerns regarding customer data privacy and security. Therefore, effective management of integrated marketing channels is essential for improving customer experience while creating sustainable competitive advantages for companies in an increasingly dynamic digital era.

The development of the digital economy has driven increased customer interaction through online chat services, making customer satisfaction a key factor in business success. Response speed and chat service quality are two important aspects in shaping the customer experience, but previous research has tended to examine them separately. This study aims to analyze the influence of online chat services and response speed on customer satisfaction partially and simultaneously. The method used is a qualitative approach with a literature review of 12 scientific articles from 2020–2025 obtained from academic databases such as Google Scholar and SINTA. The analysis technique used is descriptive-critical through the identification, comparison, and synthesis of previous research findings. The results show that online chat services have a positive effect on customer satisfaction, primarily through interaction quality such as information accuracy, ease of use, and problem-solving ability. Response speed has also proven to be an important determinant, where a fast response significantly increases customer satisfaction. However, speed without quality has the potential to decrease satisfaction. The discussion shows that the two variables have a complementary and inseparable relationship. Online chat services function as a medium for interaction, while response speed is a quality attribute that determines the effectiveness of the service. Therefore, the integration of both in one model is the main contribution of this research in filling the literature gap, especially in the context of e-commerce in Indonesia.

This study aims to analyze the effect of personalized marketing on customer satisfaction and customer retention, as well as to explain the role of customer satisfaction as a mechanism linking marketing personalization to customers’ decision to remain with a brand. The background of this study is based on the increasing use of data-driven marketing strategies, product recommendations, personalized promotions, and digital communication tailored to customer preferences. In an increasingly competitive business environment, companies are required not only to attract new customers but also to retain existing customers through relevant, convenient, and valuable experiences. This study employed a quantitative explanatory approach, with the population consisting of customers who had received personalized marketing from a particular company or brand. The sampling technique used was purposive sampling, with the criteria that respondents had received personalized promotions and had made repeat purchases. The total sample consisted of 110 respondents. Data were collected using a structured questionnaire with a five-point Likert scale and analyzed using Partial Least Squares Structural Equation Modeling. The findings show that personalized marketing has a positive and significant effect on customer satisfaction. This indicates that promotions, recommendations, and marketing messages that are relevant to customer needs can create more positive customer experiences. Customer satisfaction is also found to have a positive and significant effect on customer retention, meaning that satisfied customers are more likely to make repeat purchases, continue using products or services, and avoid switching to competitors. In addition, personalized marketing has a direct effect on customer retention, although its effect becomes stronger when mediated by customer satisfaction. The implications of this study emphasize that companies need to develop personalization strategies that are not only data-driven but also relevant, ethical, non-intrusive, and oriented toward customer value. Therefore, personalized marketing can serve as an important strategy for improving customer satisfaction and maintaining long-term customer retention.

Micro, Small, and Medium Enterprises (MSMEs) play an important role in supporting national economic growth, particularly in the culinary sector. However, many MSME entrepreneurs still face challenges in financial management due to the lack of proper implementation of simple accounting systems. Tenank Cafe Medan is one of the culinary businesses with strong growth potential, yet it continues to experience difficulties in transaction recording, cash flow management, and the preparation of simple financial statements, which affect the quality of business services. Therefore, this Community Partnership Independent Service Program (PMKM) aims to provide assistance in simple accounting practices to improve service quality at Tenank Cafe Medan. The program was implemented through observation, socialization, training, direct practice, and mentoring activities. The materials included transaction recording, cash book preparation, simple income statements, and cash flow management. The results show an improvement in the partner’s understanding and ability to manage finances systematically. Better financial management has also contributed to improving operational management and customer service quality. Thus, this program positively supports business management strengthening and service quality improvement at Tenank Cafe Medan.

Micro, Small, and Medium Enterprises (MSMEs) play an important role in supporting national economic growth, particularly in the culinary sector. However, many MSME entrepreneurs still face challenges in financial management due to the lack of proper implementation of simple accounting systems. Tenank Cafe Medan is one of the culinary businesses with strong growth potential, yet it continues to experience difficulties in transaction recording, cash flow management, and the preparation of simple financial statements, which affect the quality of business services. Therefore, this Community Partnership Independent Service Program (PMKM) aims to provide assistance in simple accounting practices to improve service quality at Tenank Cafe Medan. The program was implemented through observation, socialization, training, direct practice, and mentoring activities. The materials included transaction recording, cash book preparation, simple income statements, and cash flow management. The results show an improvement in the partner’s understanding and ability to manage finances systematically. Better financial management has also contributed to improving operational management and customer service quality. Thus, this program positively supports business management strengthening and service quality improvement at Tenank Cafe Medan.

Social media has evolved into a significant platform where consumers freely express their opinions, experiences, and levels of satisfaction regarding various products, including those offered by Micro, Small, and Medium Enterprises (MSMEs). The comments and reviews shared by customers on these platforms contain diverse sentiments that can serve as valuable indicators of how consumers perceive product quality. Understanding these sentiments is crucial for MSME owners, as it allows them to evaluate their products and adapt to market expectations more effectively. This study aims to analyze customer sentiment toward MSME products on social media by utilizing the Naïve Bayes algorithm, a widely used classification method in text mining. The data used in this research consist of customer comments collected from various social media platforms. The research process involves several stages, including data collection, manual labeling of sentiments, text preprocessing (such as tokenization, case folding, and stopword removal), and splitting the dataset into training and testing subsets. Subsequently, the classification process is carried out using the Naïve Bayes algorithm to categorize sentiments into positive, negative, and neutral classes. The results of this study demonstrate that the Naïve Bayes method is effective in classifying customer sentiments with a satisfactory level of accuracy. These findings provide a comprehensive overview of consumer perceptions regarding the quality of MSME products. Furthermore, this research is expected to assist MSME business owners in understanding customer feedback more systematically and using it as a basis for improving product quality and enhancing customer satisfaction in a competitive digital marketplace.

This study aims to understand the role of E-Commerce in building customer loyalty, explain the process of loyalty formation, and assess how customers perceive service quality in relation to loyalty, using the GoFood service in Jombang as a case study. The rapid growth of online food delivery services has intensified competition, making customer loyalty a critical factor for sustainability. Employing a qualitative case study approach, data were collected through in-depth interviews with 30 GoFood customers and several drivers in the Jombang area. The findings reveal that E-Commerce platforms significantly enhance loyalty through user-friendly application interfaces, supporting features (such as live tracking, history, and digital payments), and beneficial promotions. The loyalty formation process occurs gradually through consistent positive experiences, moving from customer satisfaction to trust, and ultimately to habitual use. Crucially, the quality of driver services—including politeness, effective communication, punctuality, and order accuracy—emerged as a key determinant of customer comfort and repeat orders. This study implies that for E-Commerce platforms to maintain a competitive edge, strategies must integrate digital convenience with consistently reliable human interactions. The research contributes empirical insights from a semi-urban Indonesian context, highlighting that customer loyalty is not merely transactional but is built on a combination of technological ease, economic value, and positive interpersonal service experiences.

This study aims to analyze the level of student satisfaction in paying tuition fees (UKT) through the BRImo application at Universitas Negeri Gorontalo. The research applies the service quality (SERVQUAL) framework, which consists of five dimensions: tangibles, reliability, responsiveness, assurance, and empathy. A qualitative descriptive approach was employed, with data collected through in-depth interviews, direct observations, and documentation. Participants included students who actively use the BRImo application for UKT payments as well as staff responsible for tuition management. Data analysis followed a systematic process involving data reduction, data display, and drawing conclusions to ensure accuracy and clarity of findings. The results indicate that using the BRImo application for tuition payment offers significant convenience and efficiency, allowing students to complete transactions without physically visiting the university payment office. Despite these benefits, several challenges were identified, including failed transactions, delays in payment confirmation, and suboptimal responses from customer service staff. Overall, the study concludes that student satisfaction with tuition payments via BRImo is considered fairly good. Nevertheless, improvements in reliability and responsiveness are recommended to further enhance the user experience and optimize the quality of service provided.  

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in the economy, yet limited access to capital remains a major obstacle. Sharia financing from Islamic microfinance institutions is expected to support MSME business sustainability. This study aims to analyze MSME customers' perceptions of sharia financing, identify the internal and external factors influencing these perceptions, and examine the dynamics of perception changes after receiving multiple financing facilities. This research employs a qualitative approach with a case study method. Data were collected through in-depth interviews, observation, and documentation from MSME customers receiving sharia financing at BMT NU Ngoro Regional Office. Data validity was ensured through source and method triangulation. The findings indicate that MSME customers generally hold a positive perception of sharia financing. It is perceived as offering easy procedures, good service quality, and compliance with Islamic principles, thereby supporting capital increase and business sustainability. Perceptions are influenced by internal factors such as business experience and motivation, as well as external factors including market conditions and competition. Furthermore, customers' perceptions tend to become progressively more positive as their experience with receiving financing increases. The significant role of interpersonal service quality and mentoring in shaping positive perceptions is a key finding. In conclusion, sharia financing at BMT NU Ngoro Regional Office plays a vital role in supporting MSME business sustainability. Consequently, continuous improvement in service quality and business assistance is necessary.

The increasing use of mobile applications in the retail industry has generated a large volume of user reviews that contain valuable insights regarding customer experience and service quality. However, the unstructured nature of these reviews requires an automated approach to extract meaningful patterns efficiently. This study aims to perform sentiment analysis on user reviews of the Indomaret Poinku application by integrating lexicon-based labeling with machine learning classification. A total of 10,000 reviews were collected from Google Play Store and processed through a series of text preprocessing steps, including cleaning, case folding, normalization, tokenization, stopword removal, and stemming. Sentiment labeling was performed using the Indonesian Sentiment Lexicon (InSet), producing three sentiment classes: positive, negative, and neutral. The labeled data were vectorized using CountVectorizer and classified using two algorithms: K-Nearest Neighbors (KNN) and Random Forest (RF). Evaluation results show that Random Forest outperforms KNN, achieving an accuracy of 82.5%, compared to 69% for KNN. Random Forest demonstrates superior performance in handling high-dimensional sparse text features and yields more stable predictions across sentiment classes. This study contributes to the growing body of research on Indonesian sentiment analysis by demonstrating the effectiveness of combining lexicon-based labeling with ensemble learning methods, offering practical implications for developers seeking to improve the quality and user satisfaction of digital retail applications.

This study explores the relationship between service quality dimensions and customer loyalty in high-contact service industries, including healthcare, hospitality, and financial services, particularly in emerging markets. Using the SERVQUAL model, which identifies five key dimensions tangibles, reliability, responsiveness, assurance, and empathy the research examines how these dimensions influence customer loyalty. A quantitative research design is employed, with data collected through a cross-sectional survey of 400 respondents using a structured questionnaire. The study analyzes service quality, customer satisfaction, and loyalty using Structural Equation Modeling (SEM), regression analysis, and Exploratory Factor Analysis (EFA). Findings reveal that reliability and empathy are the most influential factors in fostering loyalty, with customer satisfaction acting as a mediator. Additionally, the research highlights the role of perceived value and customer experience in moderating these effects, particularly in sectors like healthcare and hospitality. The study extends the SERVQUAL model by integrating new dimensions such as customer experience and perceived value, offering a more comprehensive framework for understanding service quality in high-contact industries. These insights provide actionable recommendations for service managers to enhance customer loyalty by addressing both functional and emotional aspects of service quality

Algorithmic technologies are widely used in contemporary marketing strategies due to the growth of the digital economy. Digital companies can evaluate consumer activity data in real time and provide highly personalized digital experiences thanks to artificial intelligence-based solutions, especially machine learning. In addition to examining how algorithmic governance and surveillance capitalism affect algorithmic personalization, this study looks into how these mechanisms affect consumer engagement, purchase intention, and perceptions of hyperreality within the digital market ecosystem. 356 active users of digital platforms, such as social media and e-commerce, were surveyed as part of this study's quantitative methodology. The links between the constructs in the suggested conceptual model were examined through data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that the development of algorithmic personalization systems is strongly influenced by data-driven capitalism practices and algorithmic governance. Additionally, it has been demonstrated that algorithmic personalization improves customers' sense of hyperreality and increases their interaction with digital platforms. Additionally, the study shows that the most powerful factor influencing purchase intention is consumer interaction. By combining viewpoints from technology, the political economics of data, and hyperreality theory into a thorough empirical framework, these findings add to the body of knowledge on digital marketing.

. 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.