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The purpose of this study was to see how promotions and live streaming features impact the decision of Shopee users to purchase fashion products in the 2022 intake. This quantitative study involved 54 respondents from a population of 117 students selected through a simple random sampling method. Primary data were collected through online questionnaires and analyzed using multiple regression using SPSS. Validity, reliability, classical assumptions, and hypothesis tests were also conducted. The study shows that students of Economics Education, Sebelas Maret University, 2022 intake significantly choose fashion products because of promotions and Shopee's live streaming features. Promos are considered to be able to save consumer spending, thus increasing interest and enthusiasm for transacting through the Shopee application. Meanwhile, the live streaming feature makes it easier for consumers to see products directly, assess quality, and make purchases more practically. As for further researchers, it is recommended to add other variables (for example, consumer trust), compare with other e-commerce platforms, use mixed methods, analyze different user segments, and examine the long-term impact on brand loyalty.

Abstract. The background of this research is the rampant competition in the bus transportation business which is marked by the increasing number of bus transportation companies in several locations that are even close to each other, which results in customers being faced with a lot of choices. One of the famous transportation services in Blitar City is the Rosalia Indah bus. Ticket sales from PO Rosalia Indah are higher every day compared to other POs, such as PO Harapan Jaya. Therefore, transportation service companies compete with each other to attract consumers. This study aims to determine the effect of tariffs, accessibility, facilities and infrastructure on user interest. The population in this study were Rosalia Indah bus users, the sample of this study was 100 respondents. Sampling technique is nonprobability sampling  with the type of sampling, namely incidental sampling. The data analysis used in this study is descriptive analysis and quantitative analysis, the data were analyzed using multiple linear regression analysis with the help of  (software) Statistical Package For Social Science (SPSS) version 25. The results of the study by partially testing the t-test hypothesis showed that Rates, Accessibility, Facilities and Infrastructure have a positive and significant effect on increasing user interest.  Based on the research results, the regression equation model is Y = 1.821 + 0.424 + 0.263 + 0.178 + . the tariff variable with a regression coefficient of 0.424, the accessibility variable with a coefficient of 0.263, the variable of facilities and infrastructure with a regression coefficient of 0.178. From the regression equation, the tariff variable has the most dominant effect on increasing the number of users with an R2(R Square) test of 0.626 or 62.6% which means that user interest is influenced by tariff variables, accessibility, facilities and infrastructure, and other factors that influence Rosalia Indah bus user interest is 37.4% or 0.374.

This research investigates the impact of brand awareness and online customer reviews on purchase intention regarding Adidas products on the Shopee platform in Indonesia. The research background is founded on the growth of e-commerce and the intense competition present in Indonesia’s fashion industry. A quantitative method employing a survey approach was utilized, engaging 150 Shopee users who are familiar with Adidas products. Data analysis encompassed descriptive tests, classical assumption tests, multiple linear regression, hypothesis testing, and the coefficient of determination, all performed using SPSS version 27. The results demonstrate that brand awareness and online customer reviews have a positive and significant effect on consumer purchase intention, both individually and collectively. These findings imply that greater brand awareness and the quality of reviews are associated with an increase in purchase intention for Adidas products on Shopee. This research offers insights for Adidas Indonesia regarding the significance of enhancing brand awareness and fostering authentic reviews through exclusive promotions, review incentives, and the use of the “Verified Purchase” feature. Future research should be encouraged to integrate additional variables such as price and product quality for a more comprehensive analysis

This study aims to determine the influence of online customer reviews, online customer ratings, and live streaming features on the purchase decisions of fashion products on the Shopee marketplace in the Surakarta region. This research was conducted in October 2023. The number of samples in this study was 147 respondents from Shopee users in Surakarta. Sampling is done using the purposive sampling method. The data collection technique used in this study is the quantitative method of distributing questionnaires online through social media. Multiple regression is the analysis method used in this study. The results of this study show that online customer reviews, online customer ratings, and live streaming features partially have a significant positive influence on the purchase decisions of fashion products in Surakarta.

 In an era full of technological developments, various daily activities are connected with the help of the internet, making operations easier and faster. One use of this technology, for example, is massive marketing activities carried out via social media, one of which is WhatsApp. This application introduces WhatsApp Business features specifically designed to facilitate the marketing of their products to consumers. This increase in the number of WhatsApp users opens up more opportunities for businesses to maximize the application's potential as a digital marketing tool. The aim of this research is to determine the effect of promotions and services via WhatsApp on sales. This type of research is quantitative research. The sample used in this research was 37 people using the questionnaire distribution method as a data collection tool. The analysis technique used in this research is multiple linear regression analysis using the SPSS software application. The research results show that variable X1 (promotion) and variable X2 (service) each influence variable Y (sales) in a positive direction. Besides that, variables X1 (Promotion) and X2 (Service) in the model together are able to explain 40.3% of the influence on variable Y (Sales).

Traffic accidents are influenced by several factors including human error, animals, weather, traffic signs. Of the four, have an influence on traffic accidents with satisfactory results. The purpose of this study was to determine whether there was an influence of Human error, Animals, Weather, and Traffic Signs on traffic accidents on the Denpasar-Gilimanuk highway, Jembrana Regency, Bali. In this study, the research population is motorized vehicle users who cross the Denpasar-Gilimanuk highway, Jembrana Regency by taking a sample system with a total of 93 respondents (samples). The variables in this study consisted of: Human error (X1), Animals (X2), Weather (X3), Traffic signs (X4) and the dependent variable was Traffic Accident (Y). The research model is multiple linear regression analysis. The results of the analysis using the statistical tool SPSS V.25 program obtained multiple linear regression equations Y = -1.530+0,313X1+0,227X2+0,258X3+0,318X4+µ. Shows that, based on empirical facts (the results of filling out the questionnaire) and multiple linear regression results show that the Human error variable (X1) has a t count of 3.680 and a t table of 1.98729 then H1 is accepted and significant, animals (X2) have a t count of 2,035 and t table of 1,98729 then H2 is accepted and significant, weather (X3) has a t count of 2.852 and t table of 1.98729 then H3 is accepted and significant, traffic signs (X4) has a t count of 4.618 and t table of 1.98729 then H4 is accepted and significant. In the coefficient of determination test (R Square) the Adjust R Square value of 0.633 means that 63.3% of the variation in the dependent variable of traffic accident factors can be explained by the independent variables of human error, animals, weather, traffic signs. While the remaining 36.7% is explained by other reasons outside the variables studied.