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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

As time advances, humans need technology as a tool to help and facilitate all their activities in daily life, one of which is in the fields of transportation or food. In Indonesia, technological developments in the transportation sector can be seen from the rapid development of the Grab application. Through the Grab application, initially OVO was only used by the public as a payment method for Grab's transportation services. But now consumers can carry out various activities ranging from transportation to ordering food. This phenomenon illustrates how the Grab application with a payment system via OVO can be massively accepted by the Indonesian people. Acceptance of this technology can be analyzed using the Technology Acceptance Model (TAM). When using technology, people do not always receive the benefits, accept the convenience, and fully accept the risks, but often there is resistance or mistakes often occur. Therefore, this research aims to analyze the influence of the Technology Acceptance Model (TAM) with the variables perceived usefulness, perceived ease of use, and Perceived Risk in Grab application users on Reuse Intention. The population of this study were all Grab application users in Pangkalpinang City, with purposive sampling involving 112 respondents whose characteristics of application users ranged from 18-50 years and had also used the OVO feature for at least 1 year. The analytical method that will be used to analyze the data is SPSS 26.0. The results of this research explain that the variables perceived usefulness, perceived ease of use, and Perceived Risk have an influence on Reuse Intention.

Good governance for hospitals is the first step that can be taken to be able to follow the rules that change and will always change. Patients as health service users that after the patient uses the services of the hospital, the patient will compare the quality of service expected by the patient with what they actually receive. The purpose of this study is to determine the influence of good governance and hospital service quality on patient satisfaction at HVA Toeloengredjo Pare Kediri Hospital. This study is a quantitative research with data analysis using multiple linear regression. The number of samples used was 32 patients. The results of the study showed that good governance had an effect on patient satisfaction by data analysis obtained a significant value of 0.000 < 0.05 and tcal>ttable, H0 was rejected and H1 was accepted, which means that good governance has a positive and significant influence on patient satisfaction. While the significant value is 0.019 < 0.05 and the tcal>ttable, H0 is rejected and H2 is accepted, which means that the quality of service has a positive and significant influence on patient satisfaction. From the results of data processing, it is known that the significant value is 0.000 < 0.05 and the tcal>ttable, H0 is rejected and H1 is accepted, which means that good governance and service quality have a positive and significant influence on patient satisfaction at HVA Toeloengredjo Pare Kediri Hospital.    

This study examines the phenomenon of delays in the delivery of financial reports (audit report lag) which can cause negative reactions from investors and other users of financial reports. This delay is often seen as a bad signal and can indicate stock price fluctuations. Variables studied in this study include financial distress, profitability, and audit quality and their effects on audit report lag. This study uses objects in the form of manufacturing companies listed on Indonesia Stock Exchange (IDX) in period 2018-2022. The study population includes all manufacturing companies, and the sample was selected using a purposive sampling technique, which resulted in 50 companies as samples with a total of 250 observation data. The method used in this study is quantitative analysis with a statistical approach using multiple linear regression run on the SPSS version 25 program. Tests were conducted to determine the effect of financial distress, profitability, and audit quality on audit report lag. The results showed that financial distress has a positive effect on audit report lag, while profitability and audit quality have a negative effect on audit report lag.

This study aims to determine the effect of Influencer Marketing and product quality on buying interest in e-commerce users in Central Jakarta. This research uses descriptive research with a quantitative approach, namely the author describes the phenomena that exist in the formulation of problems that have been determined based on data that has been collected from primary sources. Data collection was obtained through distributing questionnaires online to e-commerce users in Central Jakarta. The sample used in this study amounted to 100 respondents. The sampling technique used was purposive sampling, then processed using SPSS 25 with multiple linear data analysis techniques. The results showed that Influencer Marketing and product quality partially had a positive and significant effect on buying interest. Furthermore, Influencer Marketing and product quality simultaneously have a positive and significant effect on buying interest in e-commerce users in Central Jakarta. This proves that Influencer Marketing and product quality are effective strategies in influencing consumer buying interest in products or services.

Adolescence is an important developmental phase for individuals. During this phase, teenagers require direct interaction with their environment. However, faceto-face interactions have decreased due to the rise of social media. One of the social media platforms that can be used is Instagram. Instagram offers engaging features such as photo and video sharing, allowing teenagers to express themselves. The process through which teenagers express themselves on social media is called selfpresentation. Teenagers’ self-presentation can be positive, authentic, or negative, inauthentic, and is influenced by their self-esteem. Therefore, this study aims to explore the relationship between self-esteem and self-presentation among Instagram users. This research employs a quantitative method with 337 adolescent Instagram users as respondents. The analysis technique used is multiple correlation testing. The findings indicate a positive relationship between self-esteem and selfpresentation among Instagram users, with the relationship between self-esteem and real self-presentation showing the strongest contribution, with a correlation coefficient of 0.573. This suggests that the higher the self-esteem, the more positive the self-presentation by the teenage Instagram users. The implications of this study are that teenagers' self-esteem can enhance their self-presentation in a positive way, aligned with their true selves.

This study aims to determine the Influence of Facilities and Service Quality of Trans Batam Users on Satisfaction of Batam City Community. The population in this study were people who use Trans Batam public transportation using nonprobability sampling, namely accidental. The criteria used as samples in this study were users who had used Trans Batam public transportation, so that the number of samples was 100 respondents. This type of research is Quantitative. Validity and reliability tests were carried out on the questionnaire. Data were analyzed using multiple linear regression analysis, including t-test, F-test and coefficient of determination. This study was conducted using SPSS version 29. The results showed that partially the variables of Facilities and Service Quality had a significant effect on Satisfaction in Batam City. The results of the F Test obtained an Fcount value of 294,306 with Ftable 3.09 identifying that the variables of Facilities and Service Quality simultaneously had a significant effect on Satisfaction in the community. Based on the coefficient of determination test, around 85.6% of the satisfaction variables in the community were influenced by the variables of Facilities and Service Quality. The remaining 14.4% is influenced by other factors not explained in this study.

The evolution of technology and fierce rivalry in the smartphone sector compel companies to consistently innovate and cultivate a robust brand presence to sustain their market standing. Innovation in products opens up avenues for incorporating new functionalities, improving aesthetics, and delivering enhanced value to consumers. Conversely, a favorable brand presence bolsters customer fidelity, fosters trust, and sways purchasing choices. This research seeks to evaluate both the isolated and combined effects of product innovation and brand presence on the buying choices of iPhone smartphones in Bandung. The study employs a quantitative approach with a descriptive causal framework. The participant group consists of 100 iPhone users in Bandung, identified through a non-random sampling method known as purposive sampling. Techniques for data analysis included descriptive statistics and multiple linear regression. The findings revealed that product innovation has a substantial partial influence on purchasing choices. Additionally, brand presence plays a significant role in shaping purchase decisions on its own. Collectively, product innovation and brand presence impact buying decisions in 93.9% of the cases examined, while the residual 6.1% is impacted by factors outside the scope of this research.

Social media undeniably contributes to changing how a teacher figure is portrayed and how communication patterns with students occur. Social media users, particularly TikTok, can upload audiovisual content of teachers and students joyfully dancing together. This research aims to present a depiction of teachers in the current digital era. It is a multidisciplinary study that examines educational and social contexts. The research method employed is semiotics by Roland Barthes. The researchers analyze the myths conveyed in the audiovisual content to unveil the image of teachers in the digital era. The results reveal the current depiction of teacher-student relationships in the context of dancing on social media, which has significant implications. It emphasizes the importance of teachers' role in assisting students in managing social media usage wisely and serving as positive role models. Through dancing content on social media, teachers can strengthen social connections with students outside the school, creating an informal space for closeness and better understanding of students as individuals.

Public open space can provide a special identity for a city. Generally, the shape of public open spaces must be able to accommodate a variety of user activities and have characteristics that attract people to come. The purpose of this study is to determine the correlation between motivation and atmosphere characteristics in public open spaces in Palembang City. This research uses quantitative methods that are explanatory. The data collected by using the semantic-differential (SD-method) with the sample selection using snowball-non-random-sampling. The results of the latent variable analysis and Multivariate Correlation Analysis are in the form of a relationship between motivation and the atmosphere in public open spaces in Palembang City. The results of this study indicate that the motivation of the people who come to open public spaces has reasons, that are refreshment, achievement and interaction. This motivation is supported by the influence of the atmosphere in public open space which is assessed from two aspects, such as orderliness and natural environment.

The optimization of thread management in operating systems is essential to improve the performance of multithreading-based applications. This study analyzes various techniques to enhance thread management efficiency, including thread pooling, dynamic scheduling, load balancing, and synchronization contention reduction. Experimental results indicate that thread pooling reduces overhead by reusing threads, while dynamic scheduling improves multitasking responsiveness by prioritizing urgent tasks. Load balancing ensures equitable workload distribution across processor cores, minimizing execution time. Furthermore, reducing synchronization contention using mechanisms like semaphores decreases thread waiting time, thereby boosting application performance. These optimizations enable modern operating systems to efficiently utilize multi-core architectures, improving speed, responsiveness, and user experience. This research highlights the importance of thread management optimization as a foundational step towards developing adaptive and scalable operating systems for future complex and data-intensive applications.

The development of information and communication technology has encouraged changes in consumer behavior, especially in online shopping activities through social commerce platforms such as TikTok shop live streaming. So an effective marketing strategy is needed, such as maximizing product visualization and attractive promotional offers to attract consumer attention and increase competitiveness in the digital market. This research aims to analyze the influence of online visual merchandising and flash sales on the impulse buying of TikTok shop live streaming users on the 3Second brand. Design/methodology/approach: The research uses quantitative methods with associative research type with a sample size of 100 respondents selected using a simple random sampling method from the population of followers of the TikTok account @its3second. Instrument quality testing includes validity testing and reliability testing. Data analysis uses descriptive analysis. Meanwhile, for hypothesis testing, multiple linear regression analysis is used. Results: The research results show that the online visual merchandising and flash sale variables have a positive and significant influence on the impulse buying of TikTok shop live streaming users on the 3Second brand with an R-Square value of 0.515. Research limitations/Implications: Research limitations lie in the method of collecting data through online questionnaires which has the potential to be biased and the implications of the research are encouraging increased product displays and flash sale strategies in live streaming marketing to increase interaction and purchases.  

This study aims to test the influence of Perceived Ease and Perceived Security on the Decision of OVO E-Wallet Users. The data collection method uses a survey with an instrument in the form of a questionnaire distributed online. The population used is Active Students of Jakarta State University (D3, D4, S1) with the criteria of Domiciled in Jabodetabek; aged 18 years and over; and have used the OVO E-wallet service as a payment transaction method in the last 2 weeks. This study involved 100 respondents, and the data was analyzed using SPSS Version 29 to manage data and analyze the results of the study using multiple linear regression equations. The results of the study indicate that 1) perceived ease has a positive and significant effect on user decisions, 2) perceived security has a positive and significant effect on user decisions, 3) perceived ease and perceived security simultaneously influence user decisions.

The design of a family room with a contemporary concept aims to create a comfortable, functional, and aesthetic space according to the needs of the user. The contemporary concept prioritizes a simple, clean, and flexible design by combining modern materials such as glass, metal, and concrete with natural elements such as wood and stone. The selection of neutral colors is combined with bold color accents to give a dynamic impression. The layout of the room is designed to be efficient with comfortable circulation and the use of minimalist and multifunctional furniture. Natural lighting is maximized through the use of large openings, supported by warm artificial lighting to create a comfortable atmosphere. The integration of smart home technology is also applied to increase the comfort and ease of use of the space. The design results are expected to produce a family room that is modern, functional, and supports interaction between family members.

This study aims to analyze the influence of Tokopedia's e-commerce strategy and collaboration with the TikTok application on consumer purchasing interest. Using quantitative methods, data were collected through a survey with a questionnaire distributed to 90 respondents who are active users of Tokopedia and TikTok. The analysis technique used is multiple regression to test the relationship between the independent variables (Tokopedia's e-commerce strategy and collaboration with TikTok) and the dependent variable (consumer purchasing interest). The results of the study indicate that Tokopedia's e-commerce strategy has a positive and significant influence on consumer purchasing interest, as well as the collaboration between Tokopedia and TikTok which has proven to be significant in increasing purchasing interest. In addition, the simultaneous influence between the two variables shows stronger results than the individual influence. This study provides a practical contribution to the e-commerce industry in formulating more effective marketing strategies in the digital era.  

The structure of the Windows operating system plays an important role in supporting the operational performance of computers, especially in business environments and professional users. This system is designed with a modular and layered architecture, which includes various components such as Hardware Abstraction Layer (HAL), I/O device manager, virtual memory management, and an integrated security system. Windows also supports energy management and plug-and-play mechanisms, which improve power efficiency and hardware compatibility. This architectural approach allows Windows to optimize interactions between hardware and applications, supports multitasking, and provides an efficient user interface. Thus, the structure of the Windows operating system is able to significantly improve device performance, which leads to optimization of operational performance.

This paper presents an IoT-enabled dual-axis solar tracking system that integrates  a Kalman filter and a Proportional-Integral-Derivative (PID) controller to enhance tracking accuracy, energy efficiency, and operational stability. Addressing the ongoing challenge of maxi- mizing photovoltaic (PV) panel output, the proposed system leverages an ESP32 microcontroller and the Blynk platform to provide real-time monitoring, remote parameter adjustments, and flexible connectivity. Light Dependent Resistor (LDR) sensors measure sunlight intensity from multiple directions, while MG90S servo motors dynamically adjust the panel’s azimuth and elevation. The Kalman filter refines noisy sensor data to yield precise sun position estimates, enabling the PID controller to respond quickly and accurately to deviations in panel orientation. Through extensive testing conducted over several days, including both clear and partially cloudy conditions, the system achieved an average Root Mean Square Error (RMSE) as low as 1.2° under clear skies and maintained RMSE below 2.0° even under partial shading. Compared to a fixed-panel baseline, daily energy harvesting improved by approximately 43%. These results confirm that advanced estimation and control algorithms, when combined with IoT functionali- ties, significantly outperform simpler tracking methods and static installations. Furthermore, the low-cost, compact design and user-friendly interface facilitate practical deployment in a range of scenarios, including small-scale and off-grid installations. By ensuring continuous alignment of the PV panel with the sun, the system not only increases overall energy capture but also reduces maintenance requirements through remote oversight. This research thus offers a robust, scalable approach to improving solar energy utilization in diverse and evolving environmental conditions.

This research aims to determine the analysis of service quality on customer satisfaction at the Tingkir Type A Terminal, Salatiga City. In this research, the objects taken were service users at the Tingkir Terminal. Data sources include primary and secondary data. The sample in this study was 100 service user respondents at Tingkir Terminal. Data collection was carried out using observation methods, literature studies, interviews, documentation and questionnaires. The data analysis technique is a multiple linear regression technique which is first tested through a questionnaire test (validity and reliability) and classical assumption tests (autocorrelation, heteroscedasticity, multicollinearity, normality). The results of the analysis using the statistical tools of the SPSS V.26 program obtained a multiple linear regression equation: Y = 2,637 + 0,170.X1 + 0,203.X2 + 0,180.X3 + 0,179.X4 + 0,171.X5 + μ. The results of the multiple linear regression equation show that the Tangible Variable (X1) has a tcount of 0.170 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Reability variable (X2) has a tcount of 0.203 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Responsive Variable (X3) has a tcount of 0.180 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The variable Emphaty (X4) has a tcount of 0.179 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. The Assurance variable (X5) has a tcount of 0.171 and a ttable of 1.66105, so H0 is rejected and Ha is accepted. Based on the results of the study, conclusions can be drawn from multiple linear regression analysis and the distribution of respondents' answers regarding independent variables (Tangible, Reability, Responsive, Emphaty, Assurance) has an influence on the dependent variable (Customer Satisfaction).  

This study aims to analyze the influence of social media marketing and brand ambassadors on the purchase interest of Glad2Glow products on MissGlam. The development of digital technology has influenced the way companies market their products, especially through social media platforms. This study uses a quantitative approach with a survey method, where data is collected through questionnaires distributed to 100 respondents who are active social media users and MissGlam customers. Data analysis was carried out using multiple linear regression to test the influence of each independent variable on product purchase interest. The results of the study show that both social media marketing and brand ambassadors have a positive and significant influence on the purchase interest of Glad2Glow products. Social media marketing, with interesting content and promotion through digital platforms, has a strong impact on building awareness and purchase interest. In addition, the presence of brand ambassadors who have influence on the audience also plays an important role in increasing consumer purchasing decisions. These findings provide implications for companies to further maximize digital marketing strategies and choose the right brand ambassadors to increase product purchase interest in a competitive market.

This study compares the performance of two leading mobile operating systems, iOS and HarmonyOS, focusing on technical aspects such as power efficiency, application response speed, background application management, and graphics rendering performance. Using a literature review method, data was collected from scientific sources, comparative reports, and official documents. The analysis results show that iOS excels in hardware-software integration, providing high energy efficiency and stable performance, especially on mobile devices. In contrast, HarmonyOS stands out for its flexibility and multi-device integration, making it ideal for the IoT ecosystem. However, this flexibility has limitations on energy efficiency and performance of some devices. The study concludes that iOS is suitable for users who prioritize a stable and exclusive experience, while HarmonyOS is more ideal for those who need the flexibility of an open ecosystem.