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This study aims to analyze the influence of product quality, price, and product innovation on purchasing decisions for Viva lipstick, with brand image as a mediating variable, among female university students in Semarang. The research employed a quantitative approach with a survey method, using purposive sampling of 100 female students who use Viva lipstick. Data were collected through a structured questionnaire and analyzed using Structural Equation Modeling (SEM) to examine both direct and indirect relationships among the variables. The results reveal that product quality has a positive and significant effect on both purchasing decisions and brand image. This indicates that consumers’ perceptions of Viva lipstick’s quality—such as color durability, texture smoothness, and comfort in use—play an important role in shaping a positive brand image and encouraging purchasing decisions. In contrast, price and product innovation were found to have no significant effect on either purchasing decisions or brand image, suggesting that the current pricing strategy and product innovation efforts have not yet become the main attraction for consumers. Brand image was found to have a positive and significant effect on purchasing decisions and to mediate the influence of product quality on purchasing decisions. This mediation is partial, meaning that product quality influences purchasing decisions not only directly but also indirectly through the enhancement of brand image. The practical implications of this study emphasize the importance for Viva Cosmetics to continuously improve product quality, including formulation and packaging, while strengthening brand communication strategies to ensure consistent positive consumer perceptions. Furthermore, the company should reassess its pricing and product innovation strategies to remain competitive in the dynamic cosmetics market. By focusing on product quality and brand image, Viva is expected to increase consumer appeal and loyalty, particularly within the university student market segment.

This study aims to determine the effect of promotion, price, and brand image on consumer purchasing decisions in the Cap Fajar Chips Home Industry. The study uses a quantitative approach with a survey method. The study population is consumers who have made purchases at the store, with a total of 150 respondents selected as a sample. The data collection method is carried out through distributing questionnaires, then the data is analyzed using multiple linear regression techniques to test the effect of each independent variable, both partially and simultaneously, on purchasing decisions. The results of the analysis show that the promotion variable (X1) does not have a partial significant effect on purchasing decisions, as evidenced by a significance value of 0.502 (> 0.05). This indicates that the intensity or form of promotion carried out is not enough to directly influence consumer purchasing decisions. In contrast to promotions, the price variable (X2) is proven to have a positive and significant effect on purchasing decisions. A significance value of 0.000 (< 0.05) indicates that competitive and affordable pricing is an important factor that encourages consumers to choose Cap Fajar chips products. Similarly, the brand image variable (X3) has a partial significant influence on purchasing decisions, with a significance value of 0.013 (<0.05). This indicates that consumers' positive perceptions of brand reputation and quality can strengthen the desire to purchase. Simultaneously, the three variables—promotion, price, and brand image—have a significant influence on consumer purchasing decisions. This finding is evidenced by a significance value of 0.001 (<0.05). Based on the results of the study, it can be concluded that price and brand image are the dominant elements that determine purchasing decisions for Cap Fajar chips, while promotions require a more effective strategy to provide a real impact.

This study explores the influence of live streaming mode on the purchase intention of tropical fruits among consumers in Henan, China, in the context of the rapid growth of e-commerce. Live streaming has emerged as a dynamic and interactive platform that enables real-time engagement between sellers and buyers, offering visual product demonstrations and instant feedback opportunities. The research focuses on three critical factors affecting purchase intention: perceived trust, perceived value, and perceived risk. A quantitative research design was employed, collecting data from 392 participants through structured questionnaires. The analysis indicates that interactive communication, transparent information sharing, and authentic presentations during live streaming significantly enhance perceived trust and perceived value. Higher perceived trust fosters a stronger sense of reliability toward sellers, while increased perceived value motivates consumers by highlighting product quality, freshness, and fair pricing. Furthermore, effective live streaming strategies can substantially reduce perceived risks related to product authenticity, quality uncertainty, and transaction security, creating a more favorable purchase environment. The results suggest that the integration of engaging storytelling, professional product showcasing, and active audience interaction serves as a catalyst for influencing consumer attitudes and behaviors toward purchasing tropical fruits. This study enriches the existing literature on live streaming commerce by highlighting its psychological and behavioral impacts on consumer decision-making. In practical terms, the findings offer actionable insights for marketers and fruit sellers, emphasizing the importance of building trust, delivering genuine product experiences, and minimizing risks to maximize purchase intentions. These strategies are particularly relevant for agricultural e-commerce in Henan, where live streaming can bridge the gap between rural producers and urban consumers. Overall, this research provides both theoretical contributions to the study of digital co sumer behavior and practical guidance for optimizing live streaming as a competitive marketing tool in the fresh produce industry.

This study aims to analyze the influence of brand ambassadors, sales promotions, and brand image on the purchase intention of Mie Lemonilo products in Balikpapan. The research utilizes both primary and secondary data. Primary data were collected through a questionnaire distributed to followers of the Mie Lemonilo Instagram account in Balikpapan, while secondary data were gathered from various supporting sources. The population in this study consisted of all followers of the Mie Lemonilo Instagram account in Balikpapan, with a sample size of 100 individuals. The results of the study indicate that Brand Ambassador (X1) does not significantly influence the purchase intention of Mie Lemonilo. This suggests that the impact of the brand ambassador on consumer purchasing decisions in Balikpapan is not strong enough, possibly due to insufficient engagement or connection between the brand ambassador and consumers. In contrast, Sales Promotion (X2) has a significant positive impact on the purchase intention of Mie Lemonilo. This indicates that sales promotions, such as discounts or special offers, have a substantial effect in attracting consumer interest and increasing purchase intention in Balikpapan. Meanwhile, Brand Image (X3) does not show a significant influence on the purchase intention of Mie Lemonilo. This may be due to other factors being more dominant in influencing consumers’ purchase decisions, such as product price, quality, or social factors and market trends. This study provides insights that, although brand image is important, sales promotions play a more significant role in driving purchase intention for Mie Lemonilo products in Balikpapan. Therefore, the company should focus more on promotional strategies to increase sales while continuing to consider the role of brand ambassadors and brand image in their marketing strategies.

Marketing a product effectively goes beyond showcasing attractive photos; it involves creating engaging videos that can better explain and demonstrate the products on existing social media platforms. In today’s digital age, maximizing a product's effectiveness through social media marketing is essential. CapCut, a user-friendly video editing application, offers a range of features that enable users to create professional-quality videos easily. These features can be utilized to effectively market a product by conveying its specifications and unique features in a visually compelling way. Recognizing the importance of video content in modern marketing strategies, we organized a training session at Cynara’s Corner, a retailer specializing in children’s and Muslim clothing. This training was designed to teach participants how to utilize CapCut for creating marketing videos. We used the drill and practice method, which involved hands-on exercises to help participants learn how to edit and produce engaging product videos. The training sessions focused on creating videos that could effectively communicate product specifications, such as size, material, and design, in a way that would appeal to potential buyers. These videos, once created, would be shared on social media platforms to provide comprehensive and informative content to attract potential customers. The training aimed to equip participants with the skills necessary to produce engaging content that would increase product visibility and appeal. By the end of the training, the participants were able to create professional videos that could be used for social media marketing. These videos not only showcased the products but also provided valuable information to help customers make informed purchasing decisions. This initiative will enable Cynara’s Corner to strengthen its social media presence and ultimately boost its sales by engaging potential buyers more effectively through creative video content.

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

This study aims to analyze the influence of Online Advertising on purchasing decisions for Skintific products by considering the mediating role of Trust and Social Media Engagement. Skintific, as a digital-native skincare brand, actively utilizes digital marketing strategies through various social media platforms such as Instagram, Tiktok, or e-commerce like Shopee to increase consumer appeal, especially in Malang City. This study uses a quantitative approach with the Partial Least Squares Structual Equation Modeling (PLS-SEM) method to test the relationship between variables. The sample was obtained through a purposive sampling technique with 114 respondents who are active consumers of Skintific. The results of this study indicate that Online Advertising has a significant effect on purchasing decisions, both directly and through the mediation of Trust and Social Media Engagement. Theoretically, this study extends the application of the Theory of Reasoned Action (TRA) in explaining the formation of attitudes and subjective norms of consumers towards digital advertising, as well as the Technology Acceptance Model (TAM) which shows how perceived ease and usefulness of digital advertising content affect user engagement. Customer Trust Theory in E-Commerce is used to explain how trust is formed in online transactions, while Relationship Marketing Theory emphasizes the importance of long-term interactions between brands and consumers. The Theory of Planned Behavior (TPB) expands this framework by adding the construct of behavioral control, which explains how consumers' perceptions of ease and barriers contribute to purchasing decisions. Social Influence Theory is used to understand the influence of social norms and online community opinions on purchase intentions, and Uses and Gratifications Theory (UGT) to examine consumer motivations in accessing and interacting with digital content based on information needs, affection, and self-identity. This research provides theoretical contributions in strengthening the relevance of integrating several consumer behavior theories in a digital context.

This research aims to develop a recommendation system that can help retail business owners design more effective, data-driven promotional strategies. This system utilizes data mining techniques and the Apriori algorithm to extract association rules from consumer transaction data, thereby identifying more specific and accurate consumer purchasing patterns. Based on these patterns, the system can provide relevant promotional recommendations, such as product bundling, buy-one-get-one offers, or special discounts, which can attract consumer interest and increase sales. The system's implementation process is presented in the form of an interactive dashboard, which allows business owners to upload their transaction data, adjust analysis parameters, and visualize the promotional recommendation results in a way that is easier to understand and can be directly applied to their marketing strategies. This system not only provides well-structured promotional recommendations but also enables retail business owners to make more informed and efficient decisions in determining the type of promotion to implement, based on insights gained from analyzing their own transaction data. By utilizing this system, business owners can optimize their promotional strategies more efficiently and effectively, because they can quickly identify promotions that best suit consumer purchasing patterns. This can increase impulse sales, as relevant promotions will encourage consumers to purchase more products. Furthermore, this system shows great potential in increasing consumer engagement, as the promotions provided are more personalized and tailored to each consumer's preferences. Therefore, the implementation of this recommendation system has the potential to drive significant sales growth and help retail business owners achieve greater profits, as well as accelerate their business decision-making process. This system, ultimately, not only benefits business owners but also enhances the consumer shopping experience with promotions that are more tailored to their needs and preferences.

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

This study aims to analyze the effect of green marketing on purchase decision with brand image as a mediating variable among consumers of Satvika Bhoga in Denpasar. The research is grounded in the increasing consumer awareness of environmental issues, which has not yet been fully reflected in consistent purchasing behavior toward environmentally friendly products. Despite a rise in environmental consciousness, many consumers remain skeptical or indifferent unless a brand manages to build a credible and positive image aligned with eco-friendly values. Employing a quantitative approach with an associative research design, data were collected through structured questionnaires distributed to Satvika Bhoga consumers, selected using purposive sampling. The analysis was conducted using path analysis and the Sobel test to assess both direct and indirect relationships among variables. These methods allowed the researchers to examine not only the magnitude of influence but also the mediating role of brand image in shaping purchase decisions. The results indicate that green marketing has a positive and significant effect on purchase decision and significantly strengthens Satvika Bhoga’s brand image as an environmentally conscious brand. Furthermore, brand image was found to have a strong and statistically significant influence on purchase decision, confirming its role as a partial mediator. This implies that green marketing efforts, such as eco-friendly packaging, sustainable sourcing, and environmental messaging, not only influence consumer decisions directly but also enhance the overall brand perception, which in turn further motivates consumers to make purchases. Thus, businesses aiming to improve eco-product sales should prioritize consistent green marketing strategies that reinforce a trustworthy and environmentally responsible brand image.

Competition in the local culinary business is getting tougher as consumer behavior shifts, placing greater emphasis on product quality and social media recommendations. Nasi Uduk Pemuda, located in Doko Village, Kediri Regency, leverages brand trust, distinctive flavors, and promotions through social media influencers to drive consumer purchasing decisions. This study aims to analyze the influence of brand trust, flavors, and social media influencers on consumer purchasing decisions. The method used in this study is quantitative, with a survey of consumers who have purchased Nasi Uduk Pemuda products. The sample size was calculated using the Slovin formula. Data were analyzed using SPSS 29 through several tests, such as validity, reliability, classical assumptions, multiple linear regression, t-test, f-test, and coefficient of determination (R²). The t-test results indicate that brand trust and flavor have a significant positive influence on consumer purchasing decisions. On the other hand, the influence of social media influencers on purchasing decisions is positive, but not significant. The f-test shows that simultaneously, the three variables significantly influence purchasing decisions, with an R² value of 0.669. This means that 66.9% of the variation in purchasing decisions can be explained by brand trust, taste, and the influence of social media influencers, while the remainder is influenced by other factors not examined in this study. In conclusion, maintaining brand trust, ensuring consistent taste quality, and leveraging promotions through social media influencers remain important strategies in improving consumer purchasing decisions. Nasi Uduk Pemuda needs to continue to maintain and develop these three elements to remain competitive in an increasingly dynamic market.

This study aims to examine whether there is a correlation between the hedonistic lifestyle of STIE Bima students and their aspiration to purchase an iPhone. The hedonistic lifestyle, which focuses on the pursuit of pleasure and instant gratification, often drives individuals to acquire luxury and prestigious items such as the iPhone. However, issues related to the product, such as fast battery drainage, poor performance, and blocked IMEI, have been documented by users. These problems can affect the brand image and purchasing intentions. Furthermore, the temporary nature of hedonistic pleasure causes consumers to continually seek new products to fulfill their emotional desires, which could influence their purchasing decisions. Additionally, negative perceptions of a product’s value, price, or quality may lead consumers to hesitate in making a purchase. Therefore, it is essential to understand how the hedonistic factor interacts with the intention to buy a specific product, particularly among students who are often the primary consumers of electronic products like the iPhone. This study uses a quantitative method with an associative research strategy to explain the relationship between a hedonistic lifestyle and purchase intention. A total of 96 STIE Bima students were selected as the sample, using the Lemeshow algorithm. Data were collected through questionnaires, direct observation, and literature review. Data analysis was performed using various statistical methods, including validity and reliability tests, classical assumption tests (such as normality, multicollinearity, heteroscedasticity, and autocorrelation), as well as multiple linear regression analysis. t-tests (both partial and simultaneous) were used to test the impact of each variable on purchase intention. Correlation coefficients were used to measure the strength of relationships between the variables studied. The results of this study are expected to provide insights into how a hedonistic lifestyle influences iPhone purchasing decisions among students.

This study aims to empirically analyze the influence of product quality and service quality on customer satisfaction, with purchase decisions as a mediating variable, specifically among Alfamart consumers in the Singosari area, Malang Regency. The background of this research stems from the increasing competition in the modern retail sector, which requires companies to understand the key factors influencing customer satisfaction and loyalty. In this context, product quality and service quality are considered essential elements that shape customer perceptions and influence their purchasing decisions. A quantitative approach with an explanatory research design was used in this study. The sample was selected using purposive sampling, involving 97 respondents who had made purchases at Alfamart at least twice within the last three months. Data collection was conducted through the distribution of structured questionnaires, which included items measuring perceptions of product quality, service quality, purchase decisions, and customer satisfaction. The data were analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method to examine the relationships among variables comprehensively and simultaneously. The results of the analysis show that both product quality and service quality have a significant and positive effect on purchase decisions and customer satisfaction. Moreover, purchase decisions are proven to significantly mediate the influence of both product and service quality on customer satisfaction. This indicates that the purchase decision acts as a crucial mechanism linking the effect of quality to overall satisfaction. These findings contribute theoretically to the consumer behavior literature in the modern retail context and offer practical implications for retail management, such as Alfamart. Retailers are encouraged to focus on improving both product offerings and service delivery as strategic efforts to enhance customer experience. By doing so, they can effectively increase customer satisfaction and strengthen customer loyalty in the long term.

This study aims to evaluate the extent to which the Shopee e-commerce platform affects the sales rate of clothes in Pasar 16 Ilir, Palembang, which is known as one of the largest clothing trading centers in South Sumatra. The background of this research departs from the phenomenon of the rapid development of e-commerce in Indonesia, where Shopee dominates the fashion category and is the main choice of consumers in online shopping. The change in consumer behavior from conventional to digital shopping patterns encourages businesses in traditional markets to adjust strategies to remain relevant and competitive in the increasingly dynamic era of digital transformation. This research method uses a combination of quantitative and qualitative approaches. A survey was conducted on 100 sellers and 150 consumers to collect data on shopping habits, perception of promotions, and the impact of using Shopee on clothing sales. In addition, in-depth interviews with several business actors at Pasar 16 Ilir were conducted to gain a more detailed understanding of the adaptation strategies they implemented. Data analysis shows that Shopee's promotional features, such as discounts, cashback, and flash sales, are the dominant factors that increase consumer interest. Hedonistic aspects, including the convenience and pleasure of online shopping, as well as customer reviews, also have a significant influence on purchasing decisions. The results of the study confirm that the integration of Shopee with the traditional market contributes to the increase in the volume and sales value of clothes in Pasar 16 Ilir. The online-to-offline (O2O) synergy model helps merchants reach a wider market and improve their competitiveness. In conclusion, optimizing e-commerce platforms through effective promotion strategies, review management, and customer service is the key for MSME actors in facing competition in the digital era.

This study aims to analyze the influence of Word of Mouth, price, and product quality on consumer purchasing decisions at Kopi Studio 24 in Malang City, both simultaneously and partially, and to identify the most dominant variables. The approach used in this study is quantitative with the explanatory research method. The population in this study were all customers of Kopi Studio 24, with the sampling technique using purposive sampling. The number of respondents in this study was 100 people. Data collection was carried out by distributing questionnaires to customers who had made purchases at Kopi Studio 24. The questionnaire instrument was compiled based on the indicators of each research variable and tested for validity and reliability. Data analysis was carried out using multiple linear regression with the help of SPSS software version 25. The results of the study showed that the variables Word of Mouth, price, and product quality simultaneously had a positive and significant effect on purchasing decisions. Partially, the three variables also had a positive and significant effect. Among the three, Word of Mouth was the variable that had the most dominant influence on consumer purchasing decisions. This shows that word of mouth, whether through personal experience, friend recommendations, or reviews on social media, plays an important role in encouraging consumers to purchase products at Kopi Studio 24. This finding implies that Kopi Studio 24 managers need to strengthen their Word of Mouth-based marketing strategy and maintain product quality and set competitive prices to increase consumer purchasing decisions.  

This study aims to evaluate the relationship between affiliate marketing and celebrity endorse on purchasing decisions at TikTok Shop among Generation Z in Boyolali. This research is motivated by the increasing use of TikTok as a popular online shopping medium among Gen Z, as well as the development of digital marketing strategies through affiliates and public figures. The population in this study includes Gen Z in Boyolali who have made purchases at TikTok Shop. A sample of 100 respondents was obtained through the Slovin formula calculation. This study uses a quantitative method, with an online questionnaire distributed through Google Forms. Data analysis was conducted using the SmartPLS 3.0 application to test the relationship between variables. The results of this study indicate a positive and significant relationship between affiliate marketing and celebrity endorse on purchasing decisions. This finding provides a theoretical contribution to strengthening the Theory of Planned Behavior in the context of digital marketing, as well as suggesting strategies for business actors in developing more effective promotions at TikTok Shop.

Indonesian people's shopping trends tend to shift from traditional markets to modern retail for reasons of convenience, location affordability, and speed of service. This study aims to determine whether Store Atmosphere and Experiential Marketing have a significant effect on consumer purchasing decisions at Alfamart Sadia I branch either partially or simultaneously. The data collection method uses a questionnaire with a Likert scale. The population in the study were all consumers of Alfamart Sadia I branch with a sample size of 96 people. Data analysis techniques used multiple linear regression, t-test and f-test. The results of the study showed that Experiential Marketing had no significant effect on purchasing decisions, Store Atmosphere had a significant effect on purchasing decisions and Experiential marketing and store atmosphere had a significant effect on purchasing decisions.

This study examines the influence of store atmosphere, service quality, word of mouth (WOM), and price perception on consumer purchasing decisions at Cahya Busana's Canggu branch, a local Balinese MSME specializing in high-quality traditional Balinese clothing for men, women, and children. With an increasing demand for traditional attire, understanding the factors that influence consumer decisions is vital for business growth. The study targeted consumers who had purchased traditional clothing at the Canggu branch, using non-probability sampling to select 110 respondents. The data analysis was conducted through multiple linear regression, assisted by SPSS software, to evaluate the relationship between the independent variables (store atmosphere, service quality, WOM, and price perception) and the dependent variable (consumer purchase decisions). The findings indicate that all four factors—store atmosphere, service quality, WOM, and price perception—positively and significantly impact consumers’ purchasing decisions. Specifically, a pleasant store atmosphere, high-quality service, positive word-of-mouth recommendations, and favorable price perception were found to enhance consumers' likelihood of purchasing traditional Balinese clothing. The results suggest that MSMEs, particularly in the traditional clothing sector, can leverage these factors to boost consumer confidence and drive sales. This study contributes valuable insights for businesses aiming to improve their purchasing processes by focusing on these key variables to increase consumer satisfaction and decision-making. By understanding these influences, Cahya Busana and similar businesses can optimize their strategies to attract and retain customers, ultimately improving their market position.

This study was conducted with the aim of evaluating the extent to which sand quality influences consumer purchasing decisions in the sand mining area located in Kalicilik Hamlet, Candirejo Village, Blitar Regency. The background of this research is based on the fact that in the construction and development sector, the quality of building materials is a very crucial factor. Sand, as one of the main components in construction, plays a vital role in determining the final outcome of a construction project. Therefore, the quality of the sand used is a primary consideration for consumers in choosing a location or sand seller. This study applies a quantitative approach using a survey method as a data collection technique. Respondents in this study consisted of 74 consumers who actively make purchases at the sand mining location. Data were obtained through the distribution of questionnaires containing questions related to consumer perceptions of sand quality and their decisions in making purchases. The collected data were then analyzed using simple linear regression analysis techniques run with the help of SPSS software. The results of the analysis indicate a highly significant relationship between sand quality and consumer purchasing decisions. This is demonstrated by the coefficient of determination (R²) of 0.540, meaning that 54% of the variation in consumer purchasing decisions can be explained by sand quality. Furthermore, the significance value of 0.000 strengthens this finding, indicating that the relationship is not a coincidence. Therefore, this study concludes that the better the quality of sand offered by the mining company, the higher the likelihood of consumers deciding to purchase. The implication of these results is that businesses in the sand mining sector need to pay special attention to the quality of the products they offer.

This study aims to examine the influence of independent variables—Social Media, Pricing, and Promotion—on the dependent variable, Repurchase Decision, at Kedai Kopi Bersahaja. A quantitative research method was employed, utilizing multiple linear regression analysis with the assistance of SPSS 25 software. The population of the study consisted of 226 consumers, and a sample of 107 respondents was selected using incidental sampling techniques. Data were collected through questionnaires distributed to visitors who had made at least one purchase at the coffee shop. The results of the analysis indicate that each independent variable—Social Media, Pricing, and Promotion—has a positive and statistically significant partial influence on the Repurchase Decision. Additionally, the variables collectively demonstrate a strong simultaneous influence, suggesting that an integrated marketing approach is crucial for fostering customer retention and encouraging repeat purchases. Among the three, Social Media showed the most dominant influence, emphasizing the growing role of digital presence and online engagement in shaping consumer preferences and purchasing patterns. Based on these findings, it is recommended that Kedai Kopi Bersahaja maximize the use of social media platforms such as Instagram, TikTok, and Facebook by creating engaging, relevant, and interactive content that resonates with the target audience. Content strategies may include customer testimonials, behind-the-scenes videos, product highlights, and limited-time offers. Pricing should be evaluated periodically to remain affordable yet profitable, considering both market competition and perceived customer value. Meanwhile, promotion efforts can be diversified through the use of loyalty programs, bundle offers, student discounts, and digital coupons. The synergy between these three marketing factors—if consistently and strategically applied—is expected to enhance customer loyalty, strengthen brand image, and significantly increase the likelihood of repurchase decisions. These efforts are essential for building sustainable business growth in the competitive food and beverage industry.