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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 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.

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.

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.

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 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.

The development of technology-based peer-to-peer financing services (LPBBTI) in Indonesia, including platforms like Shopee Paylater, has facilitated easier access to credit. However, this progress is accompanied by cybersecurity risks, such as unauthorized use and account breaches. This study aimed to (1) analyze the operation of LPBBTI under prevailing regulations, and (2) examine the legal liability of parties in cases of Shopee Paylater credit breaches.The study employed a normative legal approach with prescriptive characteristics, combining statutory, conceptual, and case-based analyses. Primary and secondary legal materials were obtained through literature review of Law No. 8 of 1999, POJK No. 10 of 2022, POJK No. 40 of 2024, and personal data protection regulations. The analysis was conducted descriptively and qualitatively. The findings indicate that, despite OJK regulations, Shopee Paylater’s electronic agreements still contain standard clauses that unilaterally shift all account security risks to users. This practice potentially violates Article 18(1)(a) of the Consumer Protection Law and is void under Article 18(3). Consequently, consumers remain liable for payments even if transactions are conducted illegally by third parties. In line with Article 19 of the Consumer Protection Law, service providers should assume liability, as system security is under their control.

The development of information technology has significantly improved the efficiency of application-based delivery services, including Shopee Partner Driver couriers. However, several issues such as delays in information updates, system errors, and inaccurate delivery data still affect courier performance. This study aims to analyze the effect of Information Quality and System Quality on the Performance of Shopee Partner Driver Couriers in Medan City. This research used a quantitative method with a questionnaire survey distributed to 100 active couriers. The instrument applied a fivepoint Likert scale, and data were analyzed using validity and reliability tests, descriptive statistics, and multiple linear regression analysis with SPSS software. The results indicate that both Information Quality and System Quality have a positive and significant effect on Courier Performance. The coefficient of determination (R²) of 0.625 shows that these two variables explain 62.5% of courier performance variance, while the remaining 37.5% is influenced by other factors. These findings support the DeLone and McLean (2003) model of information system success, emphasizing the importance of system and information quality in enhancing user performance.

This study evaluates the legal perspective concerning business competition in Indonesia regarding alleged abuse of dominant power in the competition between digital platforms TikTok Shop (including the acquisition of Tokopedia) and Shopee. The method applied is normative juridical with a case study approach, referring to Law Number 5 of 1999, particularly Articles 19–21 related to market control and Article 20 concerning below-cost selling practices. The analysis focuses on inter-platform integration, aggressive discount strategies, use of cross-platform data, as well as post-acquisition behavior that may hinder healthy competition. The assessment is conducted by considering market structure, business actors' behavior, and law enforcement efforts by the Business Competition Supervisory Commission (KPPU). Research findings indicate that although TikTok Shop has strong competitiveness following the acquisition, proving the existence of abuse of a dominant position requires meeting legal and economic provisions rigorously. Therefore, the implementation of conditional approval and remedial measures by the KPPU is considered a reasonable step to maintain a healthy business competition environment in the digital era.

User reviews on the Shopee e-commerce platform represent an important source of information for understanding consumer perceptions of products and services. Sentiment analysis is commonly applied to classify user opinions into positive, neutral, and negative sentiment categories based on textual data. This study aims to analyze the performance of the Long Short-Term Memory (LSTM) method in sentiment classification of Shopee user reviews. The dataset used in this study consists of Indonesian-language user reviews that have undergone preprocessing stages, including case folding, text cleaning, tokenization, and stopword removal. The LSTM model was trained using preprocessed text represented as word sequences. Model performance was evaluated using overall accuracy and class-wise classification results. The experimental results indicate that the LSTM method achieved an overall accuracy of 87.62%. In addition, the classification performance for the positive sentiment class reached 95.27%, the neutral class achieved 4.96%, and the negative class reached 74.26%. These results demonstrate that the LSTM method performs well in classifying sentiment in Shopee user reviews, particularly for positive sentiment. This study is expected to provide insights and references for the application of deep learning methods in sentiment analysis of Indonesian e-commerce review data.

Pakpak Bharat Gambir Tea MSMEs are products extracted from the young leaves of the Gambir plant. Not many people know about Gambir tea and its benefits or functions. Gambir tea products can only be found in online marketplaces, such as Tokopedia, Shopee, Lazada, Mbizmarket.co.id, and Indotrading, where Gambir tea producers are registered with the Pakpak Bharat Regency. One local exporter, Agro Lestari, sells "Gambier Leaf Tea" packaged in boxes with aluminum foil with 25 sachets. Offline sales in Pakpak Bharat Regency are still lacking, both in traditional markets, modern markets such as Indomaret, shops or stalls. Pakpak Bharat Gambir Tea, especially Gambir Sondel leaf tea, has been marketed to several regions in Indonesia, through wholesalers, trading partners and online resellers and social media such as TikTok, Facebook and Instagram, but the content does not provide an explanation of what Gambir tea is, its benefits or functions. The problem is:(1)What types of marketing strategies are effective? (2)How to design online and offline marketing? Objectives:(1)Help the process of understanding effective marketing strategies. (2)Help how to design online and offline marketing. The implementation of the lecture method is accompanied by questions and answers, demonstrations and practice. Gambir Pakpak Bharat tea UMKM carries out effective marketing strategies through market segmentation, targeted markets and fulfilled according to needs. The distribution system is through direct sales at outlets, delivery applications integrated with third-party applications such as GoFood or GrabFood, and online marketplaces as well as marketing communications using social media. and collaborating with local influencers

This research has a purpose to determine the effect of online transaction security on purchasing decisions through the Shopee application. The respondents consisted of 74 students from the Digital Business Study Program at Universitas Amikom Purwokerto who actively use Shopee. This research employed a quantitative descriptive method with simple linear regression analysis. The results indicate that online transaction security has a positive and significant effect on purchasing decisions, with a regression coefficient of 0.887 and a significance value of 0.000. The coefficient of determination of 35.2% shows that transaction security contributes to purchasing decisions, while the remaining percentage is influenced by other factors. The higher the level of security perceived by consumers during online transactions, the greater the likelihood of making a purchase. These findings highlight the importance of improving security systems and information transparency on e-commerce platforms such as Shopee to create a safe, comfortable, and trustworthy shopping experience for users.

This study aims to analyze the influence of consumer trust and product price, mediated by e-WOM (electronic word-of-mouth), on purchase decisions on the Shopee platform. A quantitative approach was used, with a sample of 75 undergraduate students living in boarding houses in the Special Region of Yogyakarta who shop on Shopee. Data were collected via questionnaires and analyzed using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) with SmartPLS version 4. The results show that consumer trust and product price have a significant positive influence on purchase decisions, both directly and indirectly through e-WOM. This confirms the vital role of user reviews and recommendations in the decision-making process. The study provides strategic implications for e-commerce platforms and guidance for consumers. In addition, this study also provides guidance for consumers in considering factors that influence purchasing decisions on online platforms and educate them to be more careful in assessing available information before making a purchase. Overall, the results of this study underscore the important role of consumer trust, product price, and e-WOM in shaping purchasing decisions on e-commerce platforms.

This study aims to analyze the factors influencing GoPay user loyalty in Semarang. The background of this research is based on the high penetration of e-wallet services in Indonesia, which is increasingly competitive, with many service providers such as OVO, DANA, ShopeePay, and LinkAja offering various promotional programs. The research method used a quantitative approach through a survey of 120 active GoPay user respondents, then the data was analyzed using the SmartPLS application. The results showed that promotions did not significantly influence user loyalty, while perceptions of usefulness and brand image had a positive and significant influence. This indicates that user loyalty is not only built through short-term incentives, but is more determined by perceptions of service benefits and trust in the brand image. These findings emphasize the importance of companies not only relying on promotional strategies, but rather focusing more on improving service quality, feature innovation, and consistency in maintaining brand reputation. With the right strategy, GoPay is expected to maintain a loyal user base amidst the increasingly fierce e-wallet competition in Indonesia.

The rapid growth of digital technology has revolutionized marketing practices, with social media becoming a primary platform for brand communication and audience engagement. Shopee Indonesia, as one of the leading e-commerce platforms in Southeast Asia, leverages various social media channels to strengthen its brand presence and connect with consumers. This study examines Shopee's digital marketing strategy through the management of the @notapprovedyet social media account, which creatively promotes Shopee products based on current social trends. The main focus of this study is to explain the content creation process and analyze the performance of accounts on Instagram, TikTok, and YouTube managed by Shopee Indonesia's Content Marketing Division. Using a creative marketing approach, this study aims to provide insights into effective social media management. The research findings are expected to contribute to understanding how the right social media strategy can increase audience engagement and brand awareness, especially in the highly competitive e-commerce industry.

The development of the internet in Indonesia has opened up numerous opportunities, including in the field of online commerce. One widely used feature in online transactions is the "Paylater" system, as implemented by Shopee through its Shopee Paylater service. This feature allows users to purchase goods now and pay for them later, with relatively low interest rates. This study aims to examine the regulations and implementation of Shopee Paylater, as well as the legal protection available to consumers in cases of default or issues with the service. The study refers to the Indonesian Civil Code, Law No. 8 of 1999 on Consumer Protection, and the Financial Services Authority Regulation (POJK) No. 77/POJK.01/2016 on Information Technology-Based Lending Services. The research findings indicate that Shopee Paylater users are bound by a standard agreement with PT. Commerce Finance during the purchasing process. Shopee is responsible for protecting consumers in accordance with applicable regulations, but breaches related to network security can pose risks to consumers. In addition, while the service facilitates easier access to goods and services for users, it is crucial that consumers fully understand the terms and conditions of the service, including the consequences of late payments. The study also emphasizes the need for clearer and more comprehensive consumer protection regulations, especially in light of the rapid growth of digital financial services. This research highlights the importance of adequate legal protection for users of Paylater services to ensure their rights are safeguarded in the evolving digital economy.

The rapid growth of e-commerce platforms has significantly transformed the way consumers share and access product feedback. One of the widely used platforms in Indonesia is Shopee, where customers actively provide reviews of various products, including local skincare brands such as Kahf facial wash. Customer reviews on e-commerce platforms contain valuable information that can be analyzed to understand consumer opinions and preferences. Sentiment analysis, as a branch of natural language processing, enables the classification of textual data into categories such as positive, negative, or neutral. This study aims to classify Shopee user sentiments regarding Kahf facial wash products by implementing the Multinomial Naïve Bayes algorithm, a well-known probabilistic classifier suitable for text categorization. The research methodology consisted of several preprocessing stages, including data cleansing, case folding, tokenizing, stopword removal, and stemming, to prepare raw review texts for further analysis. For feature representation, the Term Frequency–Inverse Document Frequency (TF-IDF) method was applied to capture the importance of words across documents. To evaluate the classification performance, K-Fold cross-validation was employed with K values of 4, 5, 6, and 10 to ensure model reliability and robustness. Considering the issue of imbalanced datasets in user-generated reviews, the Synthetic Minority Over-sampling Technique (SMOTE) was utilized to balance the distribution of sentiment classes. Based on the confusion matrix, the Multinomial Naïve Bayes algorithm demonstrated effective performance in classifying sentiments, achieving satisfactory levels of accuracy, precision, and recall across different folds. These results indicate that the algorithm is capable of handling sentiment analysis tasks for local product reviews effectively. The findings of this study are expected to provide meaningful insights for businesses in understanding consumer perceptions, thereby supporting decision-making processes in product development, marketing strategies, and customer engagement for local brands.

This study aims to explore how users' perceptions of the chatbot on the Shopee platform influence user satisfaction and loyalty. The research employs a qualitative approach with in-depth interviews to gather users' experiences and views on their interactions with the chatbot. The findings reveal that three key factors—clarity of responses, ease of access, and relevance of information—are crucial in determining user satisfaction. Users who found the chatbot's responses clear and easily understood, along with quick access, were generally more satisfied with the service provided. However, despite achieving user satisfaction, loyalty to the platform has not been fully established. This is due to the chatbot's limitations in building emotional connections with users and its inability to handle more complex issues. While the chatbot is effective in providing automated solutions for simple problems, it lacks the empathy and personalized attention necessary when users encounter more intricate issues or require a deeper level of interaction. These findings highlight that although chatbots can enhance the efficiency of basic customer service, they cannot fully replace human interaction, particularly in customer service contexts that require emotional engagement and a deeper understanding of the user's needs. To foster stronger user loyalty, a combined approach involving both technology and human interaction is essential. The chatbot can address routine issues, while more complex matters should be referred to customer service representatives who can offer empathetic and tailored solutions. The recommendation from this study is for Shopee platform developers and sellers to strategically optimize chatbot use while maintaining human interaction that is adaptable, in order to enhance user satisfaction and loyalty.

In the 4.0 era, technological advances offer significant opportunities, especially for entrepreneurs who develop their businesses through online platforms such as the Shopee e-commerce marketplace. This study examines the use of Shopee as a marketing communication medium by the Tabriizhijab store. Using a qualitative research method with a descriptive approach, this study is able to describe the digital marketing strategy implemented by the Tabriizhijab store owner through the use of various Shopee features such as store vouchers, free shipping, Shopee Live, Shopee Feed, and paid advertising. The findings of this study indicate that Shopee has a significant impact on improving store sales performance. However, it turns out that several challenges still exist, such as a limited understanding of Shopee features that can cause owners to be left behind by Shopee marketing trends, intense price competition between other sellers who offer lower prices for their products, a lack of specialized personnel to handle digital marketing that leads to less than optimal store management, and difficulties in committing to providing responsive service to consumers. Despite facing these challenges, through effective communication strategies, appropriate and optimal use of social media, and improving service quality, Tabriizhijab has been able to build a positive brand image and increase consumer purchasing interest. This study highlights the importance of an appropriate digital marketing communication strategy amidst increasingly fierce market competition. Furthermore, the study emphasizes the importance of managing and utilizing consumer data obtained through platforms like Shopee to formulate more effective and targeted marketing strategies. By utilizing available analytics features, Toko Tabriizhijab can better understand consumer behavior, product preferences, and evolving market trends. This allows the store to adjust its marketing strategy, offer more relevant promotions, and improve the overall customer experience.

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.