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The rapid advancement of smartphone technology has shaped consumer buying behavior, especially among students who depend on these devices for learning and social interaction. This research examines how product features and price perceptions influence students’ decisions to purchase Oppo smartphones in Malang City. Using a quantitative research design, data were obtained through questionnaires distributed to 428 respondents and processed using multiple linear regression analysis. The findings indicate that both product features and perceived price positively and significantly affect purchasing decisions, with product features demonstrating a more dominant role. The proposed model accounts for 66.2% of the variance in purchase decisions, suggesting that these two factors play a substantial part in shaping consumer choices. The results highlight the need for manufacturers like Oppo to focus on continuous feature improvements and maintain competitive pricing to strengthen market appeal. It is also suggested that future studies integrate additional variables such as brand image, marketing promotions, or user experience to offer a broader and more in-depth explanation of the determinants influencing smartphone purchase behavior.

The use of artificial intelligence (AI) in banking has grown rapidly in recent years, providing opportunities and challenges in dealing with it. AI in the banking world is expected to facilitate use, strengthen customer data security, and optimize risk management. This article aims to analyze the level of customer user experience towards banking services by utilizing artificial intelligence (AI). The analysis technique used in this study is descriptive with a quantitative approach, involving 100 respondents of various ages, various jobs and various educational backgrounds. The main requirement for respondents is that they are customers of various conventional banks in Ponorogo Regency who have used artificial intelligence (AI)-based banking services. Data were collected through questionnaires supplemented with secondary data in the form of documents related to the implementation of artificial intelligence in the banking service system. The application of AI in the banking sector is the detection and prevention of fraudulent transactions in real time, identity verification through biometrics, identity verification through biometrics, chatbots and virtual assistants for customer service, detecting suspicious activity, and the use of smart wallets. The findings in this study explain that artificial intelligence (AI) is able to increase the efficiency of services to customers, provide a better experience, and improve the quality of banking services. Customers are greatly helped by the use of artificial intelligence (AI)

This study looks at customer behavior on e-commerce platforms, with a particular emphasis on Shopee in Indonesia. The study involved 102 respondents to evaluate the relationship between variables. The results show that these factors have an impact on the repurchase intention of e-commerce customers on Shopee. The study was conducted using quantitative methods and used SPSS for statistical analysis. The results show that the components present in this study have an influence on customer repurchase intention. However, other factors not present in this study, for example, price, user experience, and promotion, may have a greater impact on customer repurchase intention than other factors. This study provides an in-depth understanding of the components that influence customers' willingness to make repeat purchases on e-commerce platforms. While product and service quality remain important, companies and marketers should consider these additional elements when they create their marketing strategies. This calls for further future research using large samples and deeper analysis to understand this more complex context and help run businesses better in the ever-evolving e-commerce market.