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For today’s young generation, Shopee PayLater makes it easy to make payment transactions. This research aims to determine the influence of financial literacy and social media on the decision to use Shopee Paylater among the young generation of Surakarta, Indonesia. This research is quantitative research. Using multiple linear regression analysis, through immersion tests, validity tests, reliability tests, classical assumption tests and F tests. The population in this study is the younger generation in Surakarta. The sample for this research was 60 samples. The results of this research show that financial literacy and social media both partially influence the decision to use Shopee Paylater.

This study aims to determine the influence of clothing advertising on shopee on the shopping interest of PR C students of the Faculty of Communication Sciences UIN Susuka Riau class of 2022. The data analysis method used is simple linear regression using the SSPS program. Based on the results of data analysis, a correlation or relationship (R) value was obtained of 0.674 (67.4%). This value indicates that there is a strong correlation or relationship between advertising and interest. The results of the hypothesis test showed that the ttable > tcount was 5.075 > 2.039. Therefore, clothing advertisements on shopee have a significant influence on the purchase intention of students of the Communication Science Department of PR C class Class of 2022 UIN Suska Riau.

This study analyzes e-commerce platform preferences for digital marketing strategies among Generation Z students at the Institut Teknologi dan Bisnis Semarang using the Simple Additive Weighting (SAW) method. By evaluating four platforms (Tokopedia, Lazada, Shopee, TikTok) based on ease of use (25%), user experience (25%), promotions (15%), transaction security (15%), and product completeness (15%), the results show that Shopee leads (0.9333) with the best interface and features. TikTok (0.9080) excels in promotions but lacks security, Tokopedia (0.8820) remains consistent, while Lazada (0.8084) needs UX improvements. The implications suggest that platforms should optimize mobile interfaces, collaborate with influencers, and enhance visual search features to meet Gen Z’s demand for interactive experiences and economic value..

This study aims to examine the consumer behavior of teenagers in pagerbarang village in using ShopeePay and analyze it from the perspective of Islamic consumption ethics. Data were collected through in-depth interviews with twenty teenagers selected using the snowball sampling technique. The results indicate that consumer behavior is influenced by discounts, promotions, transaction convenience, and social pressure. Teenagers tend to make impulsive purchases driven by emotional needs and low financial literacy. From the perspective of Islamic consumption ethics, such behavior contradicts the principles of moderation (qanâ’ah) and prohibition of extravagance (israf). Teenagers often overlook these values due to social and technological influences that facilitate easy transactions. Therefore, increasing awareness of financial literacy and religious values is crucial to fostering more prudent consumer behavior.

This research aims to analyze students' understanding of consumer protection and its influence on confidence in purchasing goods on Shopee. The research used a qualitative approach with in-depth interview methods with high school students in Pasuruan. The research results show that students' shopping frequency at Shopee varies, with a fairly high level of satisfaction although there are still doubts about the effectiveness of the consumer protection features. Most students understand consumer rights and obligations as well as procedures for filing complaints, but some students feel the need for further education regarding steps to handle fraud. Product information on Shopee is considered accurate and buyer reviews provide additional confidence, but the implementation of consumer protection is considered not optimal. In conclusion, students' understanding of consumer protection contributes positively to their confidence in making purchases, but there is a need for improvement in education and transparency of protection features. It is hoped that the implications of this research will become a reference for e-commerce, schools and the government in increasing consumer awareness and protection in the digital era.

This research aims to identify and analyze digital marketing strategies that are effective in increasing product sales in the online market. The research methods used include actor surveys of local businesses, and data analysis from digital platforms. Research results show that the use of social media, search engine optimization and content marketing play an important role in expanding market reach and attracting potential customers. Integrating e-commerce with digital marketing strategies such as paid advertising (PPC), email marketing, and influencer marketing has also proven effective in increasing sales. And the use of platforms such as Instagram, Shopee, TikTok has also been proven to increase sales in this digital era

Technological advancements have had a significant impact on facilitating financial transactions, one of which is through the use of digital payment systems. ShopeePay, as one of the e-wallets that has rapidly grown in Indonesia, offers convenience in making cashless transactions. Although ShopeePay is becoming increasingly popular, several factors still influence the behavior of its use, particularly among Generation Z. This study aims to analyze the factors that affect ShopeePay usage behavior among Generation Z students at the Universitas Muhammadiyah Surakarta using the UTAUT model. The sampling method used is convenience sampling. This quantitative research uses primary data collected through an online questionnaire via a Google Form link. A total of 275 respondents are involved in the study. Data analysis is conducted using the Smart PLS application. The results of the study indicate that performance expectancy, social influence, and facilitating conditions have affect use behavior, while effort expectancy does not have use behavior. This study emphasizes the importance of performance, social, and infrastructure support aspects in enhancing the acceptance of ShopeePay as a digital payment technology.

This study aims to analyze the influence of marketing strategies and customer trust on purchasing decisions in Shopee-based online shops among students of the Faculty of Islamic Economics and Business, UIN Raden Intan Lampung. The research employs a qualitative method with a literature study approach, collecting data from various relevant literatures, journals, and documents. The findings reveal that effective marketing strategies, such as discount promotions, loyalty programs, and influencer engagement, significantly affect purchasing decisions. Moreover, customer trust, which is built on transaction security, product quality, and customer reviews, plays a crucial role in enhancing purchasing decisions. The study concludes that the collaboration between innovative marketing strategies and customer trust is essential for creating an optimal online shopping experience.

The growth of e-commerce in Indonesia has led to the emergence of various online shopping platforms, with Shopee being one of the most popular in Semarang City. User reviews on the Shopee application serve as a valuable data source for analyzing customer satisfaction levels; however, the large volume of data requires a systematic and accurate analytical approach. This study aims to analyze user review sentiments of the Shopee application using three machine learning algorithms: Random Forest, Naïve Bayes, and Support Vector Machine (SVM), as well as comparing the accuracy of these three algorithms. This research utilized 1000 reviews collected through web scraping from the Play Store, which were categorized into three classifications: positive, neutral, and negative sentiments. The analysis process encompassed pre-processing stages, feature extraction using TF-IDF, and classification using Random Forest, Naïve Bayes, and Support Vector Machine algorithms. The results demonstrated that the Random Forest algorithm achieved the highest accuracy at 96.19%, followed by Support Vector Machine with 95.71% accuracy, and Naïve Bayes with 84.76% accuracy. This research highlights the effectiveness of Random Forest and SVM in classifying user review sentiments towards the Shopee application.

The rapid development of technology has led to innovations in various areas, including mobile payments. Mobile payments are one of the innovations in financial technology designed to facilitate online transactions. In Indonesia, there are numerous mobile payment service providers, making competition increasingly fierce. One of the popular e-wallets in Indonesia is ShopeePay, a service created by Shopee. This study aims to analyze the importance and performance levels of various electronic service quality factors and assess user satisfaction with ShopeePay. This research is a survey-based study with a sample of 100 respondents. The analysis was conducted using Importance Performance Analysis (IPA) and Customer Satisfaction Index (CSI) to measure the importance and performance of each ShopeePay service quality factor and the satisfaction of its users. The results show that out of 24 ShopeePay service quality factors, 13 were considered important by respondents. The average importance rating was 4.07, while the average performance rating was 3.94. This results in a harmony between importance and performance of 97%. The Customer Satisfaction Index (CSI) for ShopeePay services in the Banten area was 78.77%, placing it in the "satisfying" category. This study has several limitations, including its focus on the Banten area, a limited and homogeneous respondent group, potential bias from online surveys, and not accounting for external factors or long-term changes in user perceptions of ShopeePay.

This research employs the Six Sigma method using the DMAIC cycle (Define, Measure, Analyze, Improve, Control) to enhance the quality of Shopee’s services. Among the variables examined, significant results were found in the areas of delivery accuracy and application reliability. Based on the survey conducted, customer dissatisfaction reached 20% in delivery and 25% in application reliability. Through analysis, the root causes were identified and addressed by optimizing logistics and application stability. This research demonstrates that Six Sigma is effective in improving customer satisfaction and the quality of Shopee’s services.  

This study aims to analyze the effect of product quality on purchasing decisions on the Shopee application. With the increasing use of e-commerce platforms, understanding the factors that influence consumer satisfaction and decisions is very important. The method used in this study is a quantitative approach with a descriptive design. The study population consisted of Shopee users who had made purchases, with a sample of 300 respondents taken through a purposive sampling technique. Data were collected using a questionnaire consisting of questions about product quality, reviews, prices, and purchasing decisions. Data analysis was carried out using multiple regression to test the relationship between independent and dependent variables. The results showed that product quality had a positive and significant effect on purchasing decisions, with a T-statistics value of 6.154. In addition, the promotion variable also contributed significantly to purchasing decisions. These findings indicate that improving product quality can increase consumer purchasing interest and purchasing decisions on Shopee. This study suggests that Shopee focus on improving product quality and promotional strategies to attract more customers and increase user satisfaction.

The function of artificial intelligence (AI) in creating a positive consumer experience on the Shopee e-commerce platform is covered in this study. Nowadays, artificial intelligence (AI) plays a significant role in the e-commerce sector, allowing businesses to offer more individualized, quick, and safe services. This study examines how Shopee customer satisfaction and loyalty are impacted by the use of AI technologies, including chatbots, tailored product suggestions, fraud detection, and inventory management. This study found that AI plays a significant role in making shopping more responsive and convenient by analyzing data on the use of chatbot services, the efficacy of personalized recommendations, the accuracy of predicting customer needs, transaction security, and the efficiency of logistics management. According to the study's findings, implementing AI technology reduced service response times by up to 20% and increased customer satisfaction by 15%. In addition to enhancing service quality, the use of AI increases Shopee customer loyalty. These results demonstrate how AI in e-commerce holds enormous promise for fostering startup expansion and enhancing client connections.

The purpose of this study is to determine the impact of major discount offers, online customer reviews, and online customer ratings on purchasing decisions during the Shopee twin date event. For important sales initiatives, structural equation modeling was the data analysis method used. The results show that online customer reviews have a positive but not statistically significant impact on purchasing decisions during the Shopee twin date event, even while online customer ratings have a large impact.

Factor analysis is a statistical method aimed at exploring correlations or relationships among variables studied, which are then grouped into fewer new factors. Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensions of data with the goal of identifying hidden patterns or significant structures within the data. The research results indicate the presence of 5 factors influencing the decision-making process in online shopping among students of the University of North Sumatra via Shopee, namely the Funding Application Factor (28.141%), Information Reputation Factor (13.983%), Communication Satisfaction Factor (7.452%), Types and Compensation Factor (6.683%), and Guarantees and Prices Factor (5.794%). These five factors obtained a cumulative variance of 62.051%, indicating that they influence online shopping decisions through Shopee among University of North Sumatra students by 62.051%.

This study aims to examine the effect of Corporate Social Responsibility and Islamic Advertising on Corporate Reputation with Customer Satisfaction as an intervening variable on Shopeefood application users in Bandar Lampung City from an Islamic business perspective. This study uses a quantitative approach, data collection is carried out through a survey with a questionnaire in the form of a google form. The population in this study are Shopeefood application users and domiciled in Bandar Lampung City. The sample of this study was 100 respondents using a non-probability sampling method with a purposive sampling technique, and using SEM analysis tools using PLS and the results of data processing obtained using smartpls. The results showed that the variables of Corporate Social Responsibility and Islamic Advertising have a positive and significant effect on Corporate Reputation. Customer Satisfaction has a positive and significant effect on Corporate Reputation. The Customer Satisfaction variable mediates the influence of Corporate Social Responsibility on Corporate Reputation. Meanwhile, Customer Satisfaction is unable to mediate the influence of Islamic Advertising on Corporate Reputation.

This study aims to analyze the digital marketing strategies implemented by Racabel, a local fashion accessories brand, to enhance brand awareness through social media and e-commerce platforms. The project includes creating marketing content and paid advertising campaigns across platforms such as Instagram, TikTok, Shopee, and Tokopedia. The strategy focused on content optimization to strengthen audience interaction and increase engagement on social media. The results of these campaigns show a significant increase in followers, engagement rates, and sales conversions on marketplace platforms. With the right content optimization and measurable advertising strategies, Racabel successfully expanded its market reach and improved brand awareness among the target audience.

This Community Service aims to provide assistance to the people of Karangtawar Village, especially farmers, by providing training in digital marketing, packaging and branding of existing agricultural products. The method used is Participatory Action Research (PAR) where in our actions we involve the community so that solutions to existing problems can be identified. The results of Community Service are Digital Marketing training in the form of: Creating Social Media Facebook, Instagram and e-Commerce Platforms such as Shopee, Lazada. Packaging takes the form of: product packaging that is more attractive than before in order to increase sales results and people's income. Branding takes the form of: creating a brand logo for agricultural products using the CANVA application to be implemented in Karangtawar Village, Laren District, Lamongan Regency.

The research aims to find out the influence of Price, Product Quality, and Brand Ambassador on Purchase Interest for fashion products on Shopee E-Commerce (study case of Shopee users among the operator workers in Muka Kuning area). In this quantitative method were used where the data were obtained from survey results and questionnaire data were processed based on statistical procedures. Based on the Lemeshow formula, the samples in this study are 96 respondents or rounded up to 100 respondents. In this study, the regression equation result is Y = 2.568 + 0.233X1 + 0.319 X2 + 0.090X3 + e. The price variable has an influence on purchase interest with a value of tcount (2.698) > ttable (1.984), the product quality variable has an influence on purchase interest with a value of tcount (4.868) > ttable (1.984), the brand ambassador variable has no influence on purchase interest as the tcount (0.936) < ttable (1.984) with a significant value of (0.351 > 0.050), and based on the F test results it shows that Fcount (44.910) > Ftable (2.70) with a sig value. < than 0.000. Meanwhile, the results of the analysis of the coefficient of determination with the R Square (R2) value are 0.584. So it can be concluded that the variables Price (X1), Product Quality (X2), and Brand Ambassador (X3) simultaneously have a significant effect on the Purchase Interest variable (Y) amounting to 58.4%, while the remaining 41.6% is influenced by other variables outside this research.

This research aims to find out how much influence Shopee promotions have on consumer behavior among STAIN Mandailing Natal Sharia Business Management students. The sample used came from 75 MBS students using a purposive sampling method. The approach used is quantitative and in collecting primary data observation and questionnaire methods are used. Meanwhile, the data analysis that researchers used in this research was analysis using validity and reliability tests, classical assumption tests, simple linear regression tests and hypothesis tests, namely the t test and R Square test (with the help of the SPSS Version 24 program). The results of the research show that there is an influence of shopee promotional variables on consumer behavior among Mandailing Natal Sharia Business Management Students. Shown by the significance value of t 0.000 which is smaller than sig = 0.05 (0.000>0.05) the value of R = 0.629 and R Square = 3.96 means that Shopee promotion is able to explain the dependent variable or consumer behavior of 0.396 x 100 = 39.6 message while the other 60.4 percent is explained by other variables. Based on the research results, it can be concluded that Shopee promotions have a positive and significant effect on consumer behavior with a value of tcount < ttable or tcount > ttable (6.916 < 1.666 or 6.916 > 1.666). There is a positive and significant relationship between Shopee promotions and consumer behavior among students.