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This research examines the influence of Price, Income, Taste, Promotion, Location, and Product Quality on consumer demand at Coffee Shops in Pekanbaru City. The population consists of Coffee Shop customers in Pekanbaru City. A nonprobability sampling method with Accidental Sampling technique was applied, involving 100 respondents. Data were analyzed using SEM-PLS approach through SmartPLS 4.0 software. The findings reveal that Price, Promotion, and Product Quality significantly influence consumer demand. In contrast, Income, Taste, and Location do not show a significant effect. Among all variables, Product Quality emerges as the most dominant factor affecting consumer demand at Coffee Shops in Pekanbaru City. Therefore, coffee shop managers in Pekanbaru City need to improve taste consistency, menu variety, presentation, and product quality standards to maintain and increase consumer demand. This research is expected to provide business owners with a basis for formulating more appropriate, competitive, and sustainable customer satisfaction-oriented marketing strategies in the local market.

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 growth of information technology has driven changes in consumer behavior, one of which is through e-commerce platforms such as Shopee. This phenomenon has generated a large number of customer reviews, including those for local cosmetic products such as Wardah. These reviews serve as an important source of information for understanding customer perceptions and satisfaction levels. However, manual analysis of large and linguistically diverse datasets is inefficient and potentially subjective. This study aims to implement the multi-category Naive Bayes algorithm to classify the sentiment of Wardah product reviews on Shopee into three categories: positive, negative, and neutral. The data were collected using a web scraping technique and processed through a series of preprocessing stages including case folding, tokenization, stopword removal, stemming, and text cleaning. Subsequently, term weighting was performed using the TF-IDF method prior to classification. Model performance was evaluated using a confusion matrix as well as accuracy, precision, and recall metrics. The results indicate that the multi-category Naive Bayes algorithm achieved an accuracy of 86.00%, a precision of 86.63%, and a recall of 98.24%. This approach can assist business practitioners in objectively understanding customer opinions and support decision-making in business strategy and product development.

This research aims to discuss online marketing strategies and service quality as well as their impact on post-pandemic cosmetic sales at the Abigail Shop, Sintang Regency. This study applies a qualitative-descriptive approach. Data collection was carried out through interviews, observation and analysis of various documents. Subjects consist of business owners, employees and customers. The validity of the data was tested through Technical Triangulation. Research findings show that Abigail Store's use of Instagram as a digital marketing tool is effective in increasing market reach and attracting customer interest with various creative content, including photos, videos, promotions and testimonials from customers. Apart from that, the direct message and WhatsApp features function to facilitate communication and transactions between sellers and buyers. This research also confirms that high service quality is directly related to customer satisfaction which then results in the frequency of repeat purchases. The increase in sales of Toko Abigail's cosmetic products after the pandemic can be attributed to an effective combination of digital marketing strategies and consistent, high-quality service standards. This study aims to be a reference for business owners in optimizing marketing methods through digital media, while maintaining service quality amidst the rapid development of information technology.

The increase in internet users in Indonesia presents a significant opportunity for business actors to market products through digital marketing, which allows transactions anytime and anywhere and influences purchasing decisions through complete and real-time product information. In addition, impulsive buying behavior, especially in areas like Ponorogo, which is rich in quality rice products with attractive discounts, also contributes to increased sales, impacting customer satisfaction, loyalty, and long-term customer value. Therefore, this study aims to examine the influence of digital marketing, product information, and impulse buying on purchasing decisions, as well as the ability of purchasing decisions to mediate the effect of digital marketing, product information, and impulse buying on marketing performance. This study uses a quantitative approach with a research sample of 104 respondents who are consumers of rice products in the Legi Ponorogo market. The data collection technique employed a questionnaire distributed online. The data analysis technique used is SEM PLS. The results of the study indicate that digital marketing and product information affect purchasing decisions, whereas impulse buying does not affect purchasing decisions. Furthermore, purchasing decisions have an impact on marketing performance. The results of the indirect effect show that purchasing decisions mediate the influence of digital marketing and product information on marketing performance, while purchasing decisions do not mediate the influence of impulse buying on purchasing decisions.

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.

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 quality of public services at the Kelurahan Air Putih, Samarinda Ulu District, Samarinda City, East Kalimantan. The research uses a descriptive qualitative method with data collected through interviews and questionnaires. The findings indicate that public service quality at Kelurahan Air Putih is generally categorized as good, as reflected in the majority of respondents agreeing with most service quality indicators, including procedural clarity, staff friendliness, service speed, and administrative requirements. Service completion targets approximately 15 minutes when all requirements are met. However, several aspects still require improvement, particularly in terms of information accessibility, service speed, facility availability, and reduction of service barriers. The study concludes that routine internal evaluation and openness to community feedback are key factors in maintaining and improving service quality. In addition, strengthening employee competence through regular training, optimizing digital service systems, improving public communication, and enhancing supporting infrastructure are expected to increase service effectiveness and customer satisfaction. These improvements will also contribute to more transparent, accountable, responsive, efficient, and citizen-oriented public services while supporting sustainable improvements in local government administrative performance and public trust.

Fierce competition in the tourist bus industry, especially in the price segment, requires companies to understand the key factors that influence customer satisfaction. This study aims to analyze the influence of service quality, price, and brand image on customer satisfaction of PO Jurus Elang in Semarang City through a quantitative approach with an explanatory survey involving 136 respondents selected by purposive sampling. Data were obtained from a Likert scale questionnaire and analyzed using SEM-PLS via SmartPLS. The results of the analysis indicate that service quality and price have a positive but insignificant influence, while brand image has a positive and significant influence on customer satisfaction, with an R-square value of 0.721, reflecting good model strength. These findings emphasize that brand image is a major factor in increasing customer satisfaction, while service quality and price are more likely to be viewed as minimum standards by customers.

This study aims to improve subcontractor safety performance through strengthening governance systems, leading safety indicators, capability building, and performance monitoring at PT Putra Perkasa Abadi (PPA) Jobsite Borneo Indobara (BIB). The research was motivated by the increasing trend of subcontractor incidents during Quarter 1 to Quarter 3 of 2025, where seven incidents occurred and exceeded the company threshold. In addition, subcontractor performance evaluation scores remained below the target threshold of 70, while customer satisfaction scores in subcontractor management decreased from 8.45 to 7.58. The study applied a continuous improvement approach using Quality Control Circle (QCC), Pareto analysis, Nominal Group Technique (NGT), and root cause analysis with the Ishikawa method. Improvement initiatives were implemented through four strategic pillars: strengthening governance, reinforcing leading indicators, capability building, and integrated dashboard monitoring. The implementation results showed significant improvements in subcontractor safety management. The subcontractor incident frequency rate was reduced to zero incidents in Quarter 4 of 2025, subcontractor performance evaluation increased above the threshold to 70.81, and customer satisfaction scores improved to 8.55. The findings indicate that structured governance strengthening combined with real-time monitoring and subcontractor engagement can significantly improve mining safety performance and stakeholder trust.

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.

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 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.  

This research is motivated by the phenomenon of decreasing number of customers at Emdee Easy Beauty Clinic Batam, which indicates the need for an evaluation of marketing strategies. The purpose of this study is to analyze the influence of price, promotion, brand image, and product quality on consumer satisfaction. The research method used is quantitative associative with a sample of 91 respondents taken using simple random sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression. The results showed that simultaneously, price, promotion, brand image, and product quality had a significant effect on consumer satisfaction (F count 14.111 > F table 2.47). Partially, the variables of price, promotion, and brand image have a positive and significant influence, but product quality does not have a significant effect on consumer satisfaction in this study. The implication of these findings is that clinic management needs to prioritize competitive pricing strategies, strengthen promotional activities, and maintain a positive brand image to sustain and increase customer satisfaction.

This study is motivated by the importance of maintaining consumer satisfaction amidst increasingly fierce competition in the culinary business, where Warteg Bunana faces challenges in the form of a decline in the number of customers over the past two years. The objective of this research is to determine and analyze the influence of social media promotion, location, and perceived value on consumer satisfaction at Warteg Bunana in Batam City. The research method used is a quantitative approach with a survey method through the distribution of questionnaires to 100 respondents selected using simple random sampling techniques. Data were analyzed using multiple linear regression analysis via SPSS software. The findings indicate that simultaneously, social media promotion, location, and perceived value have a significant effect on consumer satisfaction with an F value of 21,940 and a significance value of 0.000 < 0.05. Partially, all three variables also have a significant influence on consumer satisfaction. The coefficient of determination (R Square) of 0.407 shows that these variables explain 40.7% of consumer satisfaction. The implications of this research suggest that Warteg Bunana management needs to increase social media promotion consistently and maintain location comfort and service quality to improve consumers' perceived value on a sustainable basis

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

This study aims to analyze the effect of price and e-service quality on e-satisfaction at Ninetech Store on the Shopee marketplace, both partially and simultaneously. This study uses a quantitative method with an associative approach. The research subjects were Ninetech Store customers, with a sample size of 96 respondents obtained through sampling techniques using the Rao Purba formula. Data were collected through questionnaires and analyzed using validity tests, reliability tests, classical assumption tests, simple and multiple linear regression analysis, correlation coefficients, determination coefficients, and hypothesis testing. The results show that price has a positive and significant effect on e-satisfaction, as does e-service quality, which also has a positive and significant effect on e satisfaction. In addition, price and e-service quality were simultaneously proven to have a significant effect on the e-satisfaction of Ninetech Store customers on the Shopee marketplace. The results of this study are expected to be taken into consideration by Ninetech Store in formulating pricing strategies and improving the quality of electronic services to increase customer satisfaction.

The Karanggawang, Demak location, service quality, and facilities offered by Jaya Abadi Motor Workshop are all examined in this study in connection to customer satisfaction. The study used quantitative methods to choose hundreds of volunteers. SPSS version 26 was utilized for the analysis, which employed multiple linear regression. Service quality, location, and resources all affect customer satisfaction, the results showed. An Adjusted R2 score of 0.440 indicates that these three factors explain 44% of the variation in customer satisfaction.

The advancement of digital technology has encouraged e-commerce platforms to adopt interactive features such as Virtual Try-On to enhance a more visual and personalized shopping experience. This feature allows consumers to virtually try products, thereby assisting in product evaluation prior to purchase decisions. This study aims to analyze the effect of experiential value on customer engagement behavior, with customer satisfaction as a mediating variable. The research employs a quantitative approach through a survey of 150 respondents in Indonesia who have used Virtual Try-On, using a purposive sampling technique. Data were collected through questionnaires and analyzed using Partial Least Squares (PLS). The results indicate that experiential value has a positive and significant effect on both customer satisfaction and customer engagement behavior. Furthermore, customer satisfaction also has a positive effect on customer engagement behavior and partially mediates the relationship between experiential value and customer engagement behavior. These findings suggest that valuable technology-driven experiences can enhance customer satisfaction and encourage more active consumer engagement. This study contributes theoretically to the literature on digital consumer behavior and offers practical implications for e-commerce platforms in optimizing Virtual Try-On features.

PT Bank Pembangunan Daerah Jawa Timur Tbk (“Bank Jatim”) is a regional-owned company engaged in banking. The main activity of this company is to collect and channel funds and provide other banking services to all customers in the East Java region.  With the tagline "Yang Terbaik Untuk Anda", Bank Jatim maximizes the best potential ranging from services to the provision of products that continue to be developed and created technology-based to achieve BPD Regional Champion. It will not be achieved without the role of optimal human resources. The purpose of this study was to test and analyze the effect of employee empowerment on employee engagement through job satisfaction in employees of the corporate secretary division of Bank Jatim Surabaya Head Office. Where the employee empowerment variable has four indicators, the four of which will be studied, namely sense of meaning, sense of competence, self determination, impact. This research is causality research with a quantitative approach. Sampling technique used saturated samples with a total of 37 respondents in the corporate secretary division of Bank Jatim Surabaya Head Office. The statistical analysis used in this research is partial least square (PLS) with the help of smartPLS 3.0 software. The results of this study explain that employee empowerment has a positive and significant effect on employee engagement, employee empowerment has a positive and significant effect on job satisfaction. Job satisfaction has a positive and significant effect on employee engagement. Job satisfaction is able to mediate the relationship between employee empowerment and employee engagement.