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The development of the internet and social media has encouraged e-commerce companies to utilize digital platforms as a marketing tool, one of which is Shopee through TikTok social media. The high frequency of digital advertising is thought to influence consumer attitudes, especially among Generation Z as active TikTok users. To determine the impact of Shopee's digital advertising frequency on consumer attitudes using promotions as a mediating variable on Generation Z TikTok social media users in Tasikmalaya, this study employed quantitative, descriptive, and verification techniques. A total of 100 respondents were sampled using purposive sampling techniques. An online questionnaire with a Likert scale of 1 to 5 was used to collect research data. Data were analyzed using Structural Equation Modeling-Partial Least Square (SEM-PLS) with the help of SmartPLS 4. The results showed that advertising frequency significantly and positively influenced consumer attitudes and promotions. In addition, promotions can mediate the effect of advertising frequency on consumer attitudes and have a beneficial and significant impact. These results indicate that consumer opinions towards Shopee will be more positive if advertisements are displayed more frequently and supported by appropriate promotions. This study serves as an academic reference and information source for businesses seeking to optimize social media-based digital marketing strategies.

The rapid expansion of digital finance services, particularly Buy Now Pay Later (BNPL) platforms such as Shopee PayLater, has significantly altered consumption patterns among university students. The aim of this study is to examine the effect of Shopee PayLater usage and lifestyle on consumptive behavior, as to test the moderating role of financial literacy among Accounting Education students at Universitas Negeri Semarang (class of 2022). A quantitative explanatory approach was employed, with data collected via Likert-scale questionnaires distributed to 63 respondents selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. Results show that Shopee PayLater usage positively and significantly affects consumptive behavior (path coefficient = 0.440, p = 0.000), as does lifestyle (path coefficient = 0.408, p = 0.003). Financial literacy, however, does not directly influence consumptive behavior (p = 0.676). Notably, financial literacy significantly strengthens—rather than weakens—the effect of lifestyle on consumptive behavior (interaction coefficient = 0.253, p = 0.019), while it does not moderate the relationship between Shopee PayLater usage and consumptive behavior (p = 0.712). These findings contribute theoretically by extending the Theory of Planned Behavior, demonstrating that BNPL accessibility and lifestyle orientation are stronger predictors of consumptive behavior than financial knowledge alone. Practically, this study suggests that financial literacy interventions must be accompanied by self-regulation strengthening and consumer protection policies to effectively curb excessive consumption driven by digital credit services.

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.

The growth of e-commerce has made online marketplaces a major channel for purchasing fashion products, yet it has also increased consumer concerns about counterfeit goods, especially in shoes and sneakers. This study examines the role of Shopee Mall Signal Perception in increasing Purchase Intention for original shoes among Gen Z consumers by considering the mediating roles of Perceived Shopping Security and Decision Convenience. A quantitative explanatory approach was used, involving 239 Gen Z Shopee users in Indonesia selected through purposive sampling. Data were collected through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling with SmartPLS. The findings show that Shopee Mall Signal Perception positively affects Perceived Shopping Security (β = 0.430), Perceived Shopping Security improves Decision Convenience (β = 0.399), and Decision Convenience increases Purchase Intention (β = 0.359). Shopee Mall Signal Perception also has a direct effect on Purchase Intention (β = 0.182), while the serial mediation effect through Perceived Shopping Security and Decision Convenience is significant (β = 0.062). These findings imply that marketplace labels can function as authenticity signals that reduce uncertainty, simplify consumer decisions, and strengthen confidence in purchasing original products online.

This study examines the implementation of Islamic business ethics in e-commerce transactions, with a specific focus on the Shopee platform. The research is motivated by the increasing growth of digital commerce accompanied by various ethical issues such as product misrepresentation, lack of transparency, and weak accountability of sellers. The objective of this study is to analyze how ethical principles, including honesty, fairness, and responsibility, are applied in online transactions. This research employs a qualitative approach using a systematic literature review method by analyzing 20 relevant scholarly articles published between 2020 and 2026. The findings reveal that although the platform provides adequate transactional systems, ethical violations are still prevalent, primarily due to information asymmetry between sellers and consumers. Trust emerges as the most influential factor in purchasing decisions, while perceived risk and security play supporting roles in shaping consumer behavior. Additionally, economic incentives such as promotions often override ethical considerations in influencing consumer decisions. The study implies that strengthening ethical enforcement, enhancing platform supervision, and improving consumer digital literacy are essential to ensure a sustainable and trustworthy e-commerce ecosystem.

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.

This study is motivated by the importance of information literacy among students in using the Shopee e-commerce platform. The purpose of this study is to determine the level of information literacy of 2022 cohort students at the Faculty of Languages and Arts, Padang State University, in using the platform e-commerce Shopee. This research employs a quantitative approach with a descriptive method. The population in this study consists of all 2022 cohort students of the Faculty of Languages and Arts, Padang State University, totaling 1,208 students, with a sample of 92 respondents selected using a simple random sampling technique based on the Slovin formula. Data collection in this study was conducted using a questionnaire developed based on the The Seven Faces of Information Literacy model, which was distributed online via WhatsApp in the form of Google Forms and directly through QR codes.Based on the confidence interval calculation, the average level of students’ information literacy falls within the range of 3.05 < μ < 3.27, indicating that the information literacy level of 2022 cohort students in using the platform e-commerce Shopee at the Faculty of Languages and Arts, Padang State University, is categorized as high. In general, it can be concluded that students have a good level of information literacy, particularly in aspects of information technology use, utilization of information sources, information searching processes, information control, knowledge construction, knowledge development, and wisdom in using information on the Shopee e-commerce platform.

The development of the digital era is driving the growth of the creative economy and opening up significant opportunities for Generation Z, who are highly familiar with digital technology. This generation has the potential to become key players in the development of digital-based businesses if equipped with adequate knowledge and skills. The community service activity carried out in Ngemplak Village, Boyolali Regency, aims to equip Generation Z with an understanding and skills in digital marketing so they can play an active role in the creative economy. The activity was carried out through socialization methods and direct practice in managing an online store using the Shopee platform, supplemented by materials on the concept of the creative economy, digital business opportunities, online marketing strategies, and the use of social media as a promotional tool. The results of the activity showed an increase in participants' understanding of digital marketing, improved technical skills in managing online stores, and increased motivation and confidence to start independent businesses. This program is considered effective in encouraging the use of digital media as a productive tool that has economic value and is sustainable for Generation Z.

This study aimed to examine the influence of promotional strategies and user-friendliness on consumer purchasing decisions on the ShopeeFood platform in Batam City. The research used a descriptive quantitative approach, involving 100 actively transacting respondents, selected through purposive sampling based on Lemeshow's calculation guidelines to ensure sample representativeness. Data were collected through a structured questionnaire and analyzed using a series of validity and reliability tests, classical assumption checks, multiple linear regression, and hypothesis testing using t- and F-tests. The research findings indicated that promotions contributed 42.4% to purchasing decisions, while user-friendliness contributed 26.0%. The coefficient of determination (R²) of 78.9% confirmed that these two variables collectively explained most of the variation in purchasing behavior. The results of the t- and F-tests confirmed that promotions and user-friendliness had a significant influence, both partially and simultaneously, emphasizing the importance of integrating effective digital marketing strategies and an intuitive application interface to drive consumer decisions on ShopeeFood in Batam City.

Transformasi digital dalam sistem transaksi ekonomi telah menggeser pola konsumsi masyarakat menuju penggunaan layanan finansial berbasis teknologi yang lebih instan, namun di sisi lain berpotensi memicu perilaku belanja yang tidak rasional. Fenomena ini tampak pada pesatnya adopsi fitur Buy Now Pay Later (BNPL) yang menawarkan fleksibilitas pembayaran tanpa agunan. Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan sistem pembayaran Shopee PayLater terhadap perilaku konsumtif mahasiswa STIE Yapis Dompu. Shopee PayLater merupakan inovasi layanan keuangan digital yang memberikan kemudahan transaksi dengan kalangan mahasiswa. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian asosiatif. Data diperoleh melalui kuesioner kepada 94 responden yang dipilih menggunakan teknik purposive sampling. Analisis data menggunakan regresi linear sederhana dengan bantuan SPSS. Hasil penelitian menunjukkan bahwa penggunaan Shopee PayLater berpengaruh positif dan signifikan terhadap perilaku konsumtif mahasiswa. Hal ini dibuktikan dengan nilai signifikansi 0,000 < 0,05 serta koefisien determinasi sebesar 55,2%, yang menunjukkan kontribusi variabel penggunaan Shopee PayLater terhadap konsumtif mahasiswa. Dapat disimpulkan bahwa semakin tinggi penggunaan Shopee PayLater, maka semakin tinggi pula perilaku konsumtif mahasiswa STIE Yapis Dompu.

This study aims to analyze the influence of influencer marketing, brand image, and e-WOM on purchasing decisions on the Shopee marketplace. A quantitative descriptive approach was used, involving 204 Shopee consumers who had previously purchased specific products. They were selected using purposive sampling based on Jacob Cohen's calculation guidelines to ensure the sample accurately represented the population. Data were collected through a questionnaire, which was then analyzed using validity and reliability tests, classical assumption evaluation, multiple linear regression, and hypothesis testing using t-tests and F-tests. The regression analysis showed that influencer marketing had a 34.8% influence on purchasing decisions, brand image contributed 32.7%, and e-WOM had an influence of 20.0%. Furthermore, the coefficient of determination (R²) showed that these three variables together explained 86.9% of the variation in consumer purchasing decisions. The t- and F-tests confirmed that each variable had a significant and positive influence, both partially and simultaneously, on purchasing decisions on the Shopee marketplace.

The development of digital technology has significantly transformed consumer purchasing behavior in recent years. Shopping activities that were previously conducted in person have now shifted to e-commerce and social commerce platforms that offer greater convenience, speed, accessibility, and a variety of attractive promotions. Two platforms experiencing rapid growth in Indonesia are Shopee and TikTok Shop, both of which have gained popularity among diverse consumer segments. These platforms not only offer a wide range of products but also provide interactive shopping experiences through features such as promotions, live shopping, consumer reviews, personalized recommendations, and ease of transactions. This situation has led to notable changes in consumers' purchasing decision-making processes and preferences. Factors such as app usability, promotional strategies, consumer trust, social media influence, user engagement, and evolving digital lifestyles are becoming increasingly dominant in determining purchasing decisions. Therefore, this study aims to analyze the key factors influencing consumer purchasing decisions on the Shopee and TikTok Shop platforms in the digital era, as well as to provide deeper insights into consumer behavior in an increasingly digital marketplace.

This study seeks to examine the impact of Social Media Marketing and Affiliate Marketing on Purchase Intent on the Shopee platform in Medan City. The research employed a quantitative methodology via a survey of 384 Shopee user respondents. We used Partial Least Square Structural Equation Modeling (SEM-PLS) to analyze the data. The findings indicated that Social Media Marketing exerts a positive and significant influence on Willingness to Buy, evidenced by a coefficient value of 0.104 (T-statistic = 2.987; P-value = 0.003). Affiliate Marketing likewise has a positive and substantial effect on Willingness to Buy, with a coefficient value of 0.284 (T-statistic = 5.947; P-value = 0.000). The study's findings suggest that management of e-commerce platforms like Shopee should make the most of social media to reach more people and get more people involved. Also, working with the correct affiliate partners can make product suggestions stronger and bring in more customers, which can lead to a big increase in sales conversions.

This study aims to analyze the factors that influence consumer purchasing decisions on the Shopee e-commerce platform. The variables studied include promotion (X1), price (X2), product completeness (X3), and product quality (X4) on purchasing decisions (Y). This study uses a quantitative approach with a survey method, where data is collected through questionnaires distributed to active Shopee users. The research sample consisted of 100 respondents selected using a specific sampling technique (eg purposive sampling). Data analysis was carried out using multiple linear regression techniques to determine the effect of each independent variable on the dependent variable. The results of the study show that all independent variables, namely promotion, price, product completeness, and product quality, simultaneously have a significant effect on consumer purchasing decisions. Partially, the variables promotion (X1), price (X2), product completeness (X3), and product quality (X4) on purchasing decisions (Y) have the greatest influence on purchasing decisions. These findings emphasize the importance of a marketing strategy that focuses on attractive promotions, competitive pricing, completeness of products offered, and improving product quality to improve consumer purchasing decisions on Shopee e-commerce. This research is expected to contribute to the development of marketing strategies in e-commerce, especially for Shopee, as well as being a reference for further research in similar fields.

The tempe chip industry in Sanan Village, Malang City, represents a culturally embedded small and medium enterprise (SME) cluster that has contributed to the local economy for decades. However, intensifying intra-cluster competition, soybean price volatility, and shifting consumer behavior have placed increasing pressure on the competitiveness of businesses in this area. This study aims to analyze the marketing strategy implemented by Keripik Tempe Dua Karunia — one of the pioneering enterprises in Sanan Village that has been operating since 1980 — and to identify the marketing strategy factors that contribute to enhancing its competitive advantage. A qualitative descriptive approach was employed through field observation, in-depth interviews with the business owner, and documentation analysis. The analysis is grounded in the 4P marketing mix framework — Product, Price, Place, and Promotion. The findings reveal that Dua Karunia builds its competitiveness through four strategic pillars: (1) product differentiation through multi-flavor diversification and consumer-driven customization; (2) cost-based pricing that is adaptively managed through shrinkflation tactics in response to raw material price fluctuations; (3) multi-channel distribution that integrates direct outlet sales with digital platforms (Shopee and WhatsApp); and (4) long-established word-of-mouth reputation-based promotion reinforced by active e-commerce presence. This study concludes that the consistent integration of all four marketing mix elements, supported by family-based operational flexibility and the cultural heritage value embedded in the product, constitutes the primary source of sustained competitive advantage for Dua Karunia amid increasingly intense cluster competition. These findings carry practical implications for similar SMEs seeking to design adaptive, competitiveness-oriented marketing strategies.

This study aims to determine the influence of Product Quality, Price Perception, and Brand Image on Purchase Decisions in Shopee application users in South Jakarta. The population in this study is Shopee application users in South Jakarta who have made purchases in the last six months. The research sample was determined using the Non Probability Sampling method with the Lemeshow formula and obtained as many as 96 respondents who were considered to represent the characteristics of the population. Data was collected through a questionnaire with a Likert scale distributed through Google Form, then processed using Microsoft Excel 365 and SPSS software version 29 for descriptive analysis and hypothesis testing. The analysis techniques used included validity tests, reliability, classical assumption tests, multiple linear regression analysis, as well as t-tests and F-tests. The results showed that Product Quality, Price Perception, and Brand Image had a significant effect on Purchase Decisions in Shopee application users, both partially and simultaneously, which indicates the importance of marketing strategies based on product and brand values in improving consumer purchase decisions.

This study analyzes the influence of Social Media, Impulsive Buying Behavior, Financial Technology Trust, and Financial Literacy on the Interest in Using Shopee PayLater among Generation Z youth in Jombang Village, South Tangerang. Out of a population of 6,618 teenagers, a sample of 150 respondents was selected using Purposive Sampling, exceeding the initial Slovin formula requirement of 99 participants to ensure higher data reliability. The research adopts a quantitative approach with multiple linear regression analysis processed via SPSS version 25. Data collection integrated primary sources from structured questionnaires with secondary data from comprehensive literature reviews. The results demonstrate that Impulsive Buying Behavior and Financial Technology Trust significantly and positively affect Shopee PayLater usage interest. Conversely, Social Media and Financial Literacy do not show a significant positive impact to Shopee PayLater usage interest. These findings provide critical insights into the digital consumption patterns and financial decision-making behaviors of the modern Indonesian youth demographic.

The increasing integration of internet technology in educational institutions requires structured network governance to ensure that digital resources support academic activities effectively. Unrestricted access to online platforms often leads to non-academic usage such as online gaming and social media engagement during instructional hours, which may reduce learning concentration and degrade network performance. This research develops and evaluates a network access control simulation using a MikroTik RouterBoard RB951Ui-2HnD device. The system applies firewall filtering mechanisms, hotspot-based authentication, and bandwidth allocation strategies through Simple Queue configuration. Network segmentation is implemented to differentiate teacher and student access privileges. The study adopts a Research and Development (R&D) approach to design, configure, test, and evaluate the proposed system. Testing results indicate that the firewall configuration successfully restricts access to selected online games (Mobile Legends, Clash of Clans, Roblox) and social media platforms (YouTube, TikTok, Shopee, Instagram, Telegram). Furthermore, bandwidth management demonstrates effective traffic prioritization, ensuring more stable allocation for teacher accounts in accordance with configured maximum limits. The findings confirm that structured firewall and bandwidth policies can improve network discipline, enhance performance stability, and support a controlled digital learning environment in schools.

The rapid advancement of information and communication technology has positioned e-commerce as a primary shopping channel, with Shopee emerging as the most popular platform in Indonesia. In the context of online fashion purchases, consumers face inherent limitations due to the inability to physically inspect or try products. Consequently, product ratings and reviews function as critical forms of social proof, helping to reduce uncertainty and perceived purchasing risk. This study investigates the influence of product ratings and reviews on purchasing decisions for fashion products on Shopee, focusing on undergraduate students at Universitas 17 Agustus 1945 Semarang. Employing an associative quantitative approach, data were collected through a closed-ended questionnaire distributed to 100 purposively selected respondents who had purchased fashion products on Shopee within the last three months. The independent variables are product ratings and product reviews, while the dependent variable is the consumer purchasing decision. Statistical analyses include validity and reliability testing, correlation analysis, t-tests, F-tests, and the coefficient of determination. The study’s findings are expected to offer both practical insights for e-commerce businesses in developing effective digital communication strategies and theoretical contributions to the understanding of digital consumer behavior in the e-commerce environment.

The rapid growth of e-commerce in Indonesia, particularly the Shopee platform, has generated a large volume of user reviews on the Google Play Store, which can be analyzed to understand consumer sentiment. This study aims to compare the performance of the Support Vector Machine (SVM) and Random Forest (RF) algorithms in binary sentiment classification (positive and negative) on Shopee reviews, as well as to statistically test the significance of their differences using One-Way ANOVA. A total of 400,498 reviews were collected via web scraping, preprocessed through text normalization, tokenization, and Indonesian language stemming, and then feature-extracted using TF-IDF and Count Vectorizer. Evaluation results show that SVM achieved an accuracy of 91.77%, precision of 91.49%, recall of 91.77%, and F1-Score of 91.56%, while RF achieved an accuracy of 90.07%, precision of 91.68%, recall of 90.07%, and F1-Score of 90.55%. ANOVA confirmed that the performance difference between the two algorithms is statistically significant (p-value = 0.0007) with a large effect size (η² = 0.1815). Therefore, SVM is recommended as a more optimal and consistent algorithm for automated sentiment analysis of Indonesian e-commerce reviews, while also providing a replicable methodological framework for similar future research.