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This study aims to determine the influence of marketing strategies and consumer commitment on purchasing decisions for Yamaha NMAX products in Rimbo Bujang using quantitative analysis descriptive research methods with SPSS 26 tests on 96 respondents. The results of the study indicate that the Marketing Strategy variable (X1) has a significant influence on the Purchase Decision (Y) of Yamaha NMAX products in Rimbo Bujang. Then the Consumer Commitment variable (X2) also has a significant influence on the Purchase Decision (Y) of Yamaha NMAX products in Rimbo Bujang. While simultaneously Marketing Strategy (X1) and Consumer Commitment (X2) together have a significant influence on the Purchase Decision (Y) of Yamaha NMAX products in Rimbo Bujang. The coefficient of determination (R²) value of 0.777 indicates that 77.7% of the variation in Purchase Decisions is influenced by Marketing Strategy and Consumer Commitment, while the remaining 22.3% is influenced by other factors outside this study. These findings provide important insights for more effective business strategies, especially in increasing product sales through a better approach to consumers. By understanding the factors that influence purchasing decisions, companies can optimize more targeted marketing strategies and increase levels of consumer satisfaction and loyalty.  

This study is intended to identify the impact of Online Customer Reviews and Product Quality Perceptions on Skintific Purchase Decisions on TikTok Shop. This study applies a quantitative approach through causal methods. Involving 96 respondents who have purchased and used Skintific products on the platform. Data analysis was carried out through the stages of classical assumption tests (normality, multicollinearity, and heteroscedasticity), and used multiple linear regression to test the research hypothesis. The findings show that online customer reviews and product quality perceptions have a positive and significant influence on purchase decisions, both when tested individually and together. The adjusted coefficient of determination (Adjusted R²) reaches 0.875, which means that 87.5% of the variation in purchase decisions can be explained by the two independent variables, while the remaining 12.5% is influenced by external elements outside of this model. Among the two variables studied, Online Customer Reviews were proven to have a dominant influence on Purchase Decisions, with a higher Beta value than Product Quality Perception. This conclusion emphasizes that positive reviews from customers and a good view of product quality are the main drivers for consumers to purchase Skintific products on TikTok Shop. Thus, companies are advised to maintain product reputation through consistent quality as well as optimize digital communication strategies based on customer reviews to improve consumer purchasing decisions.

This study aims to analyze consumer perceptions of consumer reviews on the Shopee e-commerce platform and to understand how these reviews influence trust and purchasing decisions. The research employs a qualitative approach with a descriptive case study design, using in-depth interviews with one informant an active Shopee user and supported by digital observations of the fake review phenomenon. The findings indicate that reviews play a crucial role in shaping consumers’ perceptions and trust toward sellers. The informant perceived honest reviews as those characterized by detailed content, genuine product photos, and a natural writing style. In contrast, reviews that appear overly uniform, exaggerated, or too brief are considered inauthentic and raise doubts. Negative experiences resulting from fake reviews reduce trust in both sellers and the platform. This study highlights the need to improve review verification systems and enhance digital literacy education so that consumers can better distinguish between genuine and fake reviews, thereby fostering a more transparent and trustworthy online shopping environment.

This study aims to analyze the influence of advertising, price, and brand image on purchasing decisions for Madu Sumber Podang in Kediri Regency. The research employed a quantitative descriptive approach with a sample of 136 respondents selected through accidental sampling. Data were collected using a questionnaire and analyzed using classical assumption tests, multiple linear regression, t-test, F-test, and coefficient of determination (R²). The results indicate that advertising has a positive but insignificant effect on purchasing decisions. Price has a negative and significant effect, while brand image has a positive and significant effect on purchasing decisions. Simultaneously, the three independent variables have a significant influence on purchasing decisions. The determination coefficient (R²) value of 0,388 shows that 38.8% of the variation in purchasing decisions is explained by advertising, price, and brand image, while the remaining portion is influenced by other variables outside the study. These findings highlight the importance for business actors to improve promotional effectiveness, pricing strategies, and brand image strengthening to enhance consumer purchasing decisions for Madu Sumber Podang.

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.

Advancements in modern technology have reshaped people’s lifestyles, including how individuals carry out their daily activities. These changes have influenced individuals to make less realistic decisions in an effort to align themselves with their desired lifestyle. This study aims to examine whether college students with certain lifestyle tendencies are more likely to engage in impulsive buying when shopping online. The study involved 392 college students residing in Surabaya, East Java, selected through a random sampling technique. Data were collected using a Google Form–based questionnaire containing measurement instruments developed by the researcher: (1) the Impulsive Buying Scale (15 items; α = 0.858) and (2) the Lifestyle Scale (22 items; α = 0.898). Multiple linear regression was used to analyze the data.The findings reveal a significant positive relationship between lifestyle and impulsive buying. The strongeran individual’s consumerist lifestyle tendency, the more likely they are to make impulsive purchases.  

This study aims to analyze the influence of brand image, word of mouth, and product quality on the purchase decision of Facetology skincare products. The study uses a quantitative method to obtain objective and generalizable results. The sample consisted of 100 respondents, who were individuals who had purchased or used Facetology skincare products. The sampling technique used was purposive sampling, ensuring that the selected respondents met criteria relevant to the research objectives. Data collection was conducted through the distribution of questionnaires to the selected respondents to gather the necessary information. The data analysis technique employed was Smart PLS 4.0, which efficiently and accurately measures the relationships between variables. This study emphasizes the importance of understanding the factors influencing purchase decisions in the skincare industry, particularly for the Facetology brand. The results of the study indicate that word of mouth has a positive and significant effect on the purchase decision of Facetology products. Additionally, brand image was found to have no significant effect on the purchase decision, while product quality had a positive and significant effect on the purchase decision of Facetology products. The implications of this study suggest that the company can leverage word of mouth as an effective marketing strategy and focus more on improving product quality to influence consumer purchase decisions.

This study aims to analyze the influence of the number of reviews, online review ratings, and price on the purchasing decisions of Maybelline cosmetic products on the Lazada marketplace, using a case study of consumers in Wringinanom. The rapid development of digital technology has transformed consumer behavior in online shopping, where customer reviews and ratings have become essential considerations before making a purchase. Additionally, price plays a crucial role in influencing final purchase decisions. This research uses a quantitative approach with an explanatory research type. Data were collected through questionnaires distributed to 96 respondents who had purchased Maybelline products on Lazada. The data analysis techniques used include validity and reliability tests, multiple linear regression, t-test, F-test, and the coefficient of determination, processed with SPSS version 25. The results indicate that partially, the number of reviews, online review ratings, and price significantly influence purchasing decisions. Simultaneously, all three variables have a significant impact on purchasing decisions for Maybelline products on the Lazada marketplace. These findings provide important implications for online businesses to pay closer attention to customer reviews and pricing strategies to better influence consumer purchase behavior.

With the rapid growth of Jambi City's tourism sector, the demand for souvenir products as a representation of local culture has increased. However, this potential has resulted in fierce competition among businesses. To generate new customers, businesses require effective digital and physical marketing strategies. The purpose of this study was to examine how social media marketing, product quality, and location at Gerai Adila simultaneously and partially influence consumer purchasing decisions. A survey method was used to implement a quantitative approach; data from 387 respondents, collected through Google Forms, were selected using the Slovin formula from a population of 11,723 customers in 2024. In data analysis, instruments, classical assumptions, multiple linear regression, and hypothesis testing were conducted using SPSS 25. The results showed that social media marketing, product quality, and Gerai Adila's location partially had a positive and significant impact on consumer decisions to purchase products at Gerai Adila; social media marketing played a role in increasing consumer brand awareness and purchasing interest, while product quality influenced consumer satisfaction and trust. In addition, it was proven that all three variables had a positive and significant impact on purchasing decisions. The results show that to increase the competitiveness of souvenir shops in Jambi City, digital marketing strategies, consistent product quality, and the right location are important factors.

This study aims to analyze the influence of promotion, shopping convenience, advertising, recommendation, comment, and credibility factors on purchase intensity in the TikTok Shop platform among Indonesian households. The rapid development of social commerce services requires a deep understanding of factors driving online purchasing decisions, especially among families as primary users. A quantitative approach was employed, utilizing a Likert-scale questionnaire distributed online. The sample consisted of 150 active TikTok Shop users from various household backgrounds. Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS was used to analyze the direct effects of each factor on purchase intensity. The results indicate that promotion, shopping convenience, and credibility significantly and positively influence purchase intensity, while advertising, recommendation, and comment have relatively weaker yet still relevant effects. These findings underscore the importance of effective promotional strategies, ease-of-shopping enhancements, and building platform credibility to boost purchase intensity within the household consumer segment. The practical implications can guide e-commerce practitioners and digital marketers in formulating adaptive marketing strategies in the era of social commerce.

Perfume is often used to enhance self-confidence and build a positive self-image, particularly among young people in social and academic settings. Thus, purchasing decisions are shaped not only by functional needs but also by emotional and social factors. This study examines how live streaming, electronic word-of-mouth (E-WOM), and celebrity endorsements influence consumers’ decisions to buy Evangeline perfume. A quantitative survey method was employed using purposive sampling, with respondents limited to FEB Udinus students who have experience with and knowledge of Evangeline products. This group was selected as they represent an active consumer segment for lifestyle and cosmetic goods. Data from 140 respondents were analyzed using multiple linear regression along with the classical assumption test. The results show that all three marketing variables significantly and positively affect purchase decisions, with live streaming being the most influential factor. These findings highlight the importance of interactive engagement, peer validation, and positive selection cues in shaping consumer trust and perception. Academically, this study contributes to consumer behavior and digital marketing research. Practically, the results suggest that perfume companies should prioritize live streaming campaigns, strengthen E-WOM strategies, and leverage celebrity endorsements to improve marketing effectiveness and increase sales.

This research aims to examine how prices and reviews influence consumers 'purchasing decisions on the Shopee platform in Jambi City. The rapid development of e-commerce has encouraged consumers to be more careful and discerning when selecting products, making price and product reviews important considerations in buying decisions. This study employed a quantitative approach via a survey method for data collection. The questionnaires were distributed online and successfully gathered responses from active Shopee users in Jambi City. Purposive sampling was employed to make sure that respondents met research criteria. The information gathered underwent analysis using IBM SPSS Statistics 27, which involved conducting assessments of validity, reliability, and classical assumptions, and multiple regression tests to see the impact of each variable on buying decisions. The study revealed that product price and reviews hold an important and relevant impact on consumer buying decisions. This research indicates that the more competitive the price and the better the quality, the bigger the possibility of customers buying products on Shopee.

This study aims to investigate the impact of social media advertising on clothing choices at Universitas Dinamika Bangsa Jambi students. In today's world, where many people, especially young people who frequently shop online, often struggle to accurately determine the quality of items. A quantitative approach was employed, with a survey as the primary method of data collection. A questionnaire was distributed online via Google Forms and successfully elicited responses from 102 active students who are also social media users. The sampling technique used was purposive sampling, with participants selected based on criteria that matched the focus of the study. The data were then processed using SmartPLS 4 software with the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to test the relationship between variables. The main findings indicate that social media promotions have a strong positive influence on students' clothing purchasing decisions. This underscores the crucial role of targeted advertising strategies in the digital world in shaping consumer preferences. This research is expected to serve as a guide for clothing entrepreneurs in developing online marketing plans that better suit the tastes and needs of students as their target market.

Rapid adoption of cashless payments has reshaped everyday spending, especially among young consumers. While e-wallets deliver speed and convenience, constant exposure to discounts, cashbacks, and one-click checkouts may also foster more frequent discretionary purchases. This study examines the relationship between e-wallet usage intensity and consumptive lifestyle, focusing on how convenience and promotional stimuli relate to spending tendencies. Using a cross-sectional online survey of students and early-career workers, we collected self-reports on payment habits and consumption patterns with validated Likert-type instruments. Data were screened and analyzed with correlation and linear regression after basic assumption checks. The results indicate a positive and statistically meaningful association between e-wallet usage and consumptive lifestyle; respondents who transact more often via e-wallets tend to report stronger preferences for instant gratification, hedonic purchases, and impulse buying. Convenience features (e.g., stored cards, fast checkout) and promotional exposure (e.g., limited-time deals) emerged as salient correlates of the relationship. The findings add contextual evidence from Indonesia’s digital economy and suggest practical implications for users, platforms, and educators. Financial-wellbeing interventions such as digital budgeting tips, in-app nudges, spend limits, or post-purchase reflections may help align seamless payments with healthier consumption decisions. Future work can test causal mechanisms and evaluate design features that encourage prudent, goal-consistent spending without diminishing user experience.

This study aims to analyze in-depth the interest of the Setro Village community in choosing PNM Mekaar Syariah financing as a source of capital for micro and small enterprises (MSMEs). This phenomenon is interesting because it shows how economic, social, and spiritual factors contribute to the financial decisions of rural communities. This research was conducted using a qualitative exploratory approach, using case studies and in-depth interviews with key informants. To explain the relationship between attitudes, subjective norms, and behavioral control on community intentions to choose Islamic financing, data analysis was conducted thematically. The Theory of Planned Behavior (TPB) framework was also used. The study shows that positive community perceptions of ease of access, economic benefits, and compliance with Islamic principles are the main factors shaping community interest in PNM Mekaar Syariah. Fast, easy, and uncomplicated financing increases consumer trust and enhances perceived behavioral control. Conversely, increased business capital and family income enhance the sustainability of micro-enterprises. The institution is given moral legitimacy and spiritual conviction by the implemented Islamic values, such as the yield system and the freedom from usury. Community participation decisions are also driven by social factors such as group support, advice from group leaders, and the quality of service provided by field officers. Theoretically, this study adds local religiosity and socio-cultural aspects to enrich the application of the Theory of Planned Behavior in the context of rural Islamic finance.

In today's digital era, recommendation systems have become an integral part of supporting consumer purchasing decisions, including in the food and beverage industry. This study aims to develop a product recommendation system for snacks and beverages using the item-based collaborative filtering method. This method was chosen due to its ability to handle large-scale user and product data, as well as its efficiency in providing relevant recommendations based on user consumption patterns. In this study, the system calculates the average user rating and implements   Cosine Similarity to measure the similarity between products, resulting in more accurate recommendations. The system also evaluates the accuracy of recommendations using the Mean Absolute Error (MAE) metric. Based on the results obtained, which is 0.285403 for the average error on 17 items, the developed recommendation system can improve consumers' shopping experience, help them find products that suit their tastes, and support the sales of snacks and beverages products in the market

This study discusses the phenomenon of digital entrepreneurship in the era of global climate awareness, focusing on the integration of artificial intelligence (AI) ethics, sustainable technology, and green innovation. The main issues raised are the fragmentation of analysis between digital business ethics, green economic opportunities, and technological challenges such as greenwashing, high AI energy consumption, and the digital divide. The purpose of this study is to formulate an interdisciplinary framework that combines ethical, technological, and sustainability dimensions to strengthen the role of digital entrepreneurs in achieving low-carbon development. The methods used include critical literature analysis, bibliometrics of 200 publications (2018-2025) using VOSviewer, and fuzzy logic-based simulations using the UNESCO AI ethics framework (2021) and the sustainable business model of Bocken et al. (2014). The results show four main research clusters: AI for Sustainable Innovation, Ethical Digital Business, Blockchain for Green Supply Chain, and Circular Digital Economy. The application of AI ethics increases the efficiency of green business decisions by up to 20%, consumer trust by 17%, and MSME participation by 14%. The synthesis of findings confirms that AI ethics acts as a conceptual mediator that strengthens the link between technological innovation and sustainability. In conclusion, ethical digital entrepreneurship has great potential as a driving force for Indonesia's green economy, but it requires digital ethics audit policies and the adoption of low-carbon technologies to address ethical and environmental risks in the AI era.

The development of digital technology has encouraged companies to adjust their marketing strategies, one of which is by utilizing social media. Shopee, as one of the largest e-commerce platforms in Indonesia, actively uses social media to expand its market reach, enhance its brand image, and attract consumers. This study aims to analyze how Shopee uses social media in its marketing strategy, focusing on the types of strategies used and their effectiveness in influencing consumers. The research method used is a Google form. The analysis is conducted by collecting questionnaire results from people who have filled it out and comparing them with other results. The results show that Shopee uses social media through various approaches, such as collaborating with influencers, creating creative content, and running interactive promotional campaigns on platforms such as Instagram, TikTok, and YouTube. These strategies have proven effective in increasing brand awareness, building interactions with consumers, and encouraging customer loyalty and purchasing decisions. This study concludes that social media plays an important role in supporting the success of Shopee's marketing strategy. These findings are expected to serve as a reference for e-commerce companies and other businesses in developing effective digital marketing strategies.

This study aims to analyze the influence of the Live Streaming and Flash Sale features on TikTok Shop on purchasing decisions for Maybelline cosmetic products. The research employs a quantitative approach using a survey method, with a questionnaire distributed to 79 female students of the 2022 Management Program at the Faculty of Economics, Universitas Kristen Indonesia Toraja. Based on the analysis results, it was found that the Live Streaming feature has a positive and significant impact on purchasing decisions, while Flash Sale does not show a significant effect. Simultaneously, both variables have a significant effect on purchasing decisions, with an R² value of 15.1%. This indicates that other factors outside of the variables studied influence purchasing decisions by 84.9%. The findings suggest that the Live Streaming feature is more effective in influencing purchasing decisions compared to Flash Sale, highlighting the importance of utilizing interactive and real-time features to enhance consumer purchase intent on e-commerce platforms like TikTok Shop. This study provides insights for marketers in designing more targeted digital marketing strategies on social media platforms.

This study aims to determine and analyze the effect of product completeness (X1) and service quality (X2) on purchasing decisions at PT. Sulo Rantepao, North Toraja. This research uses a quantitative approach with a multiple linear regression method. The data were collected through the distribution of questionnaires to 97 respondents. The results of the study indicate that partially, the product completeness variable (X1) does not have a significant effect on purchasing decisions, as shown by a significance value of 0.099 > 0.05 with a t-value of 1.667 > t-table value of 1.661. Meanwhile, the service quality variable (X2) is proven to have a positive and significant effect on purchasing decisions, with a significance value of 0.00 < 0.05 and a t-value of 8.540 > t-table value of 1.661. Simultaneously, product completeness (X1) and service quality (X2) have a significant effect on purchasing decisions (Y), as evidenced by a significance value of 0.00 < 0.05 and an F-value of 77.331 > F-table value of 3.09. The R-squared value of 0.614 indicates that the two independent variables are able to explain 6.14% of the variation in purchasing decisions, while the remaining 38.6% is influenced by other variables outside this study.