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This study is motivated by the dynamic changes in digital consumer behavior in e-commerce, particularly in the purchase of electronic products through the Tokopedia platform. The study aims to analyze and synthesize the influence of online reviews and product ratings on purchase decisions using a systematic literature review approach. The method involves a comprehensive examination of global and local scientific literature, with a focus on peer-reviewed journals and empirical studies published between 2021 and 2026. The findings indicate that online reviews and product ratings are capable of reducing consumer uncertainty as well as the functional risks associated with electronic products. Empirical evidence over the past decade suggests that high ratings can build initial confidence in brand quality, while detailed reviews provide crucial technical validation for potential buyers. Overall, these two indicators work synergistically to strengthen consumer trust and serve as key determinants in the final stage of the purchasing decision. The implications suggest that e-commerce platforms and sellers need to prioritize the management of user-generated content and maintain transparency in reputation to remain competitive in a market increasingly reliant on the credibility of online information.

This study aimed to uncover the extent to which eWOM, perceived brand image, and platform ease of use influence consumer purchasing decisions for Skintific moisturizer on Tokopedia. The method employed was descriptive quantitative, selecting a sample of 96 consumers who had purchased Skintific products, using a purposive sampling technique based on the Lemeshow formula to ensure representativeness. Data were collected through a questionnaire and then analyzed using a series of tests including validity, reliability, classical assumption checking, multiple linear regression, and hypothesis testing using t- and F-tests. The analysis showed that eWOM contributed 13.9% to purchasing decisions, brand image 23.4%, and ease of use 46.1%. The coefficient of determination (R²) of 75.4% indicates that these variables collectively explain most of the variation in purchasing decisions. The t- and F-tests confirmed a positive and significant influence, both individually and simultaneously, on consumer purchasing behavior on Tokopedia.

This study aims to determine the influence of price and free shipping on purchasing decisions. This is a quantitative study using primary and secondary data. The sampling technique used was non-probability sampling with purposive sampling using the Slovin formula to determine the minimum number of respondents. The results of this study indicate that price influences purchasing decisions, free shipping does not influence purchasing decisions, and both price and free shipping influence purchasing decisions.

This study aims to examine the influence of advertising appeal, influencer marketing, and online customer reviews on purchasing decisions in Tokopedia’s e-commerce platform. The research applied a quantitative method using survey questionnaires distributed to 109 Tokopedia users in Jakarta. Data were analyzed using path analysis with SmartPLS. The results indicate that advertising appeal and influencer marketing significantly and positively affect purchasing decisions, while online customer reviews show no significant impact. These findings suggest that Tokopedia consumers, particularly in electronic products, are more influenced by attractive advertising and influencer endorsements than by online reviews. The study is limited by its sample size, geographic scope, and product focus on electronics. Future research is recommended to expand respondents and product categories for broader insights.

The trademark dispute between PT GoTo Gojek Tokopedia Tbk and PT Terbit Financial Technology has become a significant issue in the field of intellectual property law in Indonesia. This conflict arose because PT GoTo used the trademark name “GOTO,” which had already been officially registered earlier by PT Terbit. This study aims to examine the legal protection granted to registered trademark owners under Law Number 20 of 2016 concerning Trademarks and Geographical Indications, as well as to analyze the application of the first to file principle in resolving the dispute. This research employs a normative juridical approach by reviewing relevant legislation and conducting a case analysis based on the Decision of the Central Jakarta Commercial Court Number 71/Pdt.Sus-HKI/Merek/2022/PN Niaga Jkt.Pst. The findings indicate that Indonesia prioritizes the first to file system in determining trademark ownership, meaning that exclusive rights are granted to the party who registers the trademark first. The court decision in favor of PT Terbit confirms that formal registration serves as the primary legal basis for trademark protection. Therefore, this study highlights the importance of conducting trademark verification prior to public use and emphasizes the need to strengthen legal awareness among business actors to prevent similar disputes in the future.

Nowadays, people are more likely to make transactions online. Online transactions are the same as offline transactions, only the online buying and selling process is carried out via the internet rather than offline, where sellers and buyers meet.  In fact, when carrying out online transactions, some customers become disappointed and disadvantaged, such as when the product ordered is not suitable or is not sent by the seller, especially for customers who experience fraud with large amounts of money.  As a result, it is very important to follow Islamic business ethics when making transactions on Tokopedia.  This research uses qualitative descriptive research where researchers use the literature study method to obtain data.  The research results show that Islamic business ethics at Tokopedia fulfill several Islamic ethical principles

This study aims to analyze the effect of e-commerce adoption on the sales performance of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. E- commerce adoption factors are measured through the dimensions of platform usage, technology integration, and digital marketing activities. Sales performance is assessed based on sales growth, market expansion, and increase in customer numbers. The research method uses a quantitative approach by distributing online questionnaires to 250 MSME owners in five major cities (Jakarta, Surabaya, Bandung, Medan, Makassar) who have used at least one e-commerce platform (such as Tokopedia, Shopee, Bukalapak, or a standalone website) for at least one year. Data were analyzed using multiple regression analysis techniques with the help of SPSS 25 software. The results show that e-commerce adoption has a significant positive effect on the sales performance of MSMEs. Specifically, technology integration (such as the use of inventory management and digital payment tools) and digital marketing activities (advertising and promotions on social media) are the most dominant factors. These findings provide practical implications for MSME owners and policymakers to further encourage digitalization by providing training and supporting infrastructure.

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.

This study aims to analyze the implementation of the Salam contract in the online sales system of Kwala Official, an online store selling bedding through the marketplaces Shopee, Tokopedia, TikTok, and Blibli. The research method used a qualitative case study approach, with data collection techniques through interviews, observation, and documentation. The results indicate that online sales transactions at Kwala Official reflect the principles of the Salam contract, characterized by advance payment before receiving the goods, clear product information, and guaranteed delivery times. Furthermore, the implementation of the Salam contract is further strengthened by the marketplace system, which provides advance payment facilities, return policies, and refund mechanisms, thus providing protection for buyers. The study also identified supporting factors, such as clear product descriptions and good store management, as well as inhibiting factors such as shipping delays caused by the shipping company, differences in product appearance, and marketplace technical issues. Overall, transaction practices at Kwala Official comply with the terms and conditions of the Salam contract from a Sharia perspective.

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

The rapid growth of e-commerce platforms in Indonesia, particularly Tokopedia, has resulted in a large volume of consumer reviews containing valuable information regarding customer perceptions and satisfaction. However, manual analysis of such reviews is inefficient and prone to subjectivity, necessitating an automated approach based on machine learning. This study aims to classify the sentiment of sports product reviews on Tokopedia into positive, negative, and neutral categories by applying Logistic Regression, Support Vector Machine (SVM), and Random Forest using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. The data were collected through web scraping of Indonesian-language sports product reviews and processed through several preprocessing stages, including data cleaning, case folding, tokenization, stopword removal, and stemming. Feature representation was performed using TF-IDF to transform textual data into numerical vectors, after which the dataset was divided into training and testing sets with an 80:20 ratio. Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The results indicate that the application of TF-IDF significantly improves the performance of all models, with SVM consistently achieving the most optimal performance compared to Logistic Regression and Random Forest. These findings demonstrate that classical machine learning algorithms combined with TF-IDF remain highly effective for sentiment analysis of Indonesian-language text. The implications of this study are expected to assist sellers in understanding customer opinions, support consumers in making informed purchasing decisions, and serve as a foundation for the development of sentiment analysis and recommendation systems on e-commerce platforms.

The growth of e-commerce in Indonesia has led to an increase in product reviews, including for beauty products on Tokopedia and Shopee. These reviews serve as important sources of information to assess consumer satisfaction; however, manually analyzing thousands of reviews daily is impractical. This study applies Natural Language Processing (NLP) with Naive Bayes, C4.5, XGBoost algorithms to classify sentiment in Indonesian-language reviews. The dataset used consists of 76,256 reviews labeled as positive, negative, and neutral. The research stages include text preprocessing, feature representation using BoW and TF-IDF, data balancing through SMOTE, and model performance evaluation based on accuracy, precision, and recall. Differences in results among the algorithms were analyzed using ANOVA. The results show that Naive Bayes achieved the highest accuracy at 67.71%, followed by XGBoost at 65.91%, and C4.5 at 58.39%, with Naive Bayes performing best in identifying positive and negative sentiments, while XGBoost and C4.5 handled more complex data patterns effectively. These findings provide guidance for sentiment analysis in Indonesian and support businesses in obtaining automated insights from customer reviews to improve product quality and services.

The rapid expansion of e-commerce in Indonesia has resulted in a significant rise in the number of customer reviews, which serve as a valuable source of insight for understanding consumer satisfaction. This study aims to classify or identify sentiments from product reviews on the Tokopedia platform into three categories, using the Support Vector Machine algorithm. The classification method data were ethically collected through web scraping and include review text, ratings, and the number of “likes.”  The preprocessing stage involved several NLP techniques such as pre-procesesing data representation was generated using the Term Frequency–Inverse Document Frequency method, while the issue of class imbalance was addressed using the Synthetic Minority Over-sampling Technique.  Based on the test results, the SVM model achieved an accuracy of 79.48% on the test data using a linear kernel, showing the best performance in classifying positive sentiments. However, the classification of neutral and negative sentiments still requires improvement. This study demonstrates that the combination of the TF-IDF method, additional numerical features, and data balancing techniques can produce an an efficient sentiment analysis model within the e-commerce domain.

The development of information technology in the era of globalization continues to accelerate. This has brought significant changes in various fields, one of which is online business, namely e-commerce. This study aims to analyze competition and provide optimal strategies for Shopee and Tokopedia in addressing their dependence on subsidies and large-scale discounts, so that both platforms can remain competitive effectively without experiencing a decline in profit margins. The research method used is a quantitative approach with a survey research method. The data used is primary data analyzed using Game Theory with Pure Strategy, Mixed Strategy, and Linear Programming. The results show that Shopee obtained optimal strategies for Price (proportion 0.3568) and Product Completeness (proportion 0.6427). Meanwhile, Tokopedia obtained optimal strategies for Promotion (proportion 0.3568) and Product Completeness (proportion 0.6427). The implication of this study is that companies can use the optimal strategies obtained to overcome their dependence on subsidies and large-scale discounts, which result in declining profit margins for both platforms.

This study aims to analyze the effect of liquidity and solvency ratios on the profitability of PT GoTo Go-Jek Tokopedia Tbk. The liquidity ratio in this study is measured using the Current Ratio (CR), while the solvency ratio uses the Debt to Equity Ratio (DER) and Debt to Asset Ratio (DAR). The research data includes the 2018–2020 financial statements of PT Tokopedia Tbk and the years 2021–2023 after the company transformed into PT GoTo Go-Jek Tokopedia Tbk. The research method uses a descriptive quantitative approach with secondary data from the company's annual financial statements. The results show that the company's liquidity ratio fluctuates in the range of 1.55–3.14, while the DER is in the range of 0.12–0.42 and the DAR is between 0.17–0.34. The results of the simultaneous test showed the value of sig. The F Change of 0.003 < 0.05 indicates that CR, DER, and DAR have a less significant correlation relationship with Return on Assets (ROA). A determination coefficient value of 0.382 showed that 38.2% of the ROA variables were influenced by CR and DAR, while the remaining 67.8% were explained by other factors outside the model. Overall, the research findings confirm the importance of efficient debt management and optimization of capital structure to increase the company's long-term profitability.

This study aims to analyze oppurtunities, threats, and sales strategies through the Tiktok Shop and Tokopedua applications in the Tangerang area. Tiktok Shop and Tokopedia are two major E-Commerce platforms in Indonesia. Tiktok Shop utilizies short video trends and live streaming features to attract young consumers, while Tokopedia offers a strong E-Commerce infrastructure to support online transactions. E-Commerce is a process whereby buyers and sellers exchange information, money, and goods using electronic media. Data collection techniques were carried out through surveys targeting the community in the Tangerang area by distributing questionnaires and using documentation and literature studies that compiled secondary data from official documents published by the Ministry of Cooperatives and Small and Medium Enterprises, APJII, Data Reportal, and the Tangerang City Communication and Information Agency. The result of this study show that the collaboration between Tiktok Shop and Tokopedia opens up enormous growth opportunities, especially for businesses in the Tangerang area. Tangerang is a region with rapid growth in internet users. The younger generation, who actively use tiktok for both entertainment and shopping, is a highly potential consumer segment. Through this collaboration, businesses can reach markets that were previously difficult to penetrate through traditional marketing methods.

The objective of this research was to determine the influence of website quality, ease of use, and customer experience on purchase intention in Tokopedia e-commerce . The objectives include to determine the influence of website quality on purchase intention, to determine the influence of ease of use on purchase intention, and to determine the influence of customer experience on purchase intention. This study uses a descriptive quantitative approach with data collection methods of questionnaires, interviews, and documentation. The population in this study is the community of Jalan Garu II Medan Amplas and the sample as respondents of this study will be taken using probability sampling with the Slovin formula, namely 93 people who were met during the study. The data obtained in this study were analyzed using multiple linear regression analysis with the SPSS 26.0 program. The results of this study indicate that the calculated F value of 369.097 is greater than the F table of 2.474, which means that simultaneously there is an influence on website quality (X1), ease of use (X2), and customer experience (X3) on purchase intention in Tokopedia e-commerce. Partially, it can be seen that the website quality variables ( ¬X1), ease of use (X2), and customer experience (X3) have an effect on purchase intention (Y), namely the website quality variable (X1 ¬) of 3.227 is greater than the t table of 1.661, ease of use of 2.607 is greater than the t table of 1.661 and customer experience (X3) of 5.253 is greater than the t table of 1.661. Based on the results seen from the coefficient of determination of the website quality variables (X1 ¬), ease of use (X2), and customer experience (X3) have an effect, namely with an R2 value of 0.950 or 95%.

The abundant rice husk waste in Legundi Village, Ngawi Regency, has not been used optimally and has the potential to cause environmental pollution. On the other hand, rural communities, especially the PKK Women's group, need business diversification to increase family income. Responding to these challenges, this community service program is carried out with the main objectives: (1) utilizing rice husk waste into husk charcoal products with economic value as a planting medium; (2) increasing income and empowering community groups; and (3) strengthening the capacity of digitizing MSMEs through online marketing assistance. The activity was carried out with a participatory method that prioritized the active involvement of the community. There are two main approaches to program implementation. First, training on the practice of making husk charcoal uses imperfect combustion techniques that are simple and environmentally friendly. Second, assistance in the digitalization of MSMEs which includes training in creating and managing e-commerce accounts (Shopee and Tokopedia), the production of visual and narrative-based promotional content, and digital marketing strategies that are adaptive to consumer trends. The results of the activity show that the community is able to process husk waste into packaged husk charcoal products with the brand "Saji Tani" which has selling value and market potential. In addition, the PKK Women's group showed capacity building in business management and the use of digital platforms to expand marketing access. This program not only succeeds in reducing the environmental impact of agricultural waste, but also encourages the economic independence of village communities through innovations based on local potential. Thus, this activity is a model of integrated community empowerment that combines environmental, economic, and digital technology aspects in a sustainable manner.

This study aims to analyze the effect of revenue on the ornamental fish business at PT. Indotama Putra Wahana. Revenue in this context refers to all income obtained by the company, both from export activities and from sales through online platforms such as Tokopedia. Business growth is defined as the increase in net profit, reflecting the sustainability and development of the company in running its operations. Therefore, it is important to analyze the contribution of income from both sources to the company’s success and growth. The data used in this study includes export revenue over the past six months and revenue from Tokopedia over the past four months. Net profit is calculated by subtracting total income from monthly operational costs. This study uses a quantitative approach with multiple linear regression analysis processed using SPSS software to obtain more accurate results. The research findings show that the ANOVA test resulted in an F value of 38.429 with a significance value of 0.007, indicating that both export revenue and Tokopedia revenue significantly affect business growth simultaneously. This suggests that both types of income play an important role in driving the company's growth. Additionally, the t-test shows that export revenue has a greater impact on business growth compared to Tokopedia revenue. The regression coefficient for export revenue is 0.987, while for Tokopedia revenue, it is 0.536. Overall, this study reveals that export revenue has a greater impact on the growth and sustainability of the ornamental fish business at PT. Indotama Putra Wahana. These findings provide deeper insight for the company to focus on export strategies to enhance net profit and ensure the sustainability of its business.

This study aims to explore the strategic role of e-commerce in increasing the export of handicraft products by Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, with a case study on CV. Palm Craft in Kediri. In the context of globalization and digitalization, e-commerce is an important means for MSMEs to reach the international market, especially in the midst of the challenges of the COVID-19 pandemic that limit conventional export activities. This study uses a descriptive qualitative approach with data collection techniques through observation, in-depth interviews, and documentation. The main focus of this study is how CV. Palem Craft utilizes various digital platforms such as social media (Instagram, Facebook), marketplaces (Tokopedia, Shopee), and global platforms (Amazon, Etsy) to expand market access, build product branding, and increase the selling value of local handicrafts. The results of the study show that the strategic use of e-commerce has helped companies overcome export barriers such as limited distribution networks, logistics constraints, and lack of international promotion. In addition, e-commerce also allows CVs. Palem Craft to build direct relationships with global consumers, get faster feedback, and make product adjustments according to market needs. This research also identifies supporting factors such as digital literacy, product quality, and production capacity as crucial aspects in the success of e-commerce strategies.  The implications of this study provide relevant insights for other MSMEs that want to develop exports through the use of digital technology. Continuous support from the government and related institutions is needed in terms of training, access to capital, and digital export facilitation so that Indonesian MSMEs can compete in the global market in a sustainable manner.