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This study explores the role of Big Data in crisis communication in the digital age, where information dissemination happens quickly through various platforms. This transformation poses challenges such as the risk of spreading fake news and reputation crises. Big Data plays an important role in detecting potential crises early, as well as in understanding the dynamics of public opinion and designing more responsive and effective communication strategies. Through real-time data collection and analysis from various sources, such as social media and news reports, organizations can build smart and adaptive monitoring systems. This research uses a descriptive qualitative approach to explore the role of Big Data in crisis communication in the digital era. The results show that the crisis detection process starts from data collection, cleaning, to sentiment analysis that helps organizations measure public response. However, the application of Big Data also faces considerable challenges, including the complexity of processing data with high accuracy, privacy issues, and the readiness of infrastructure and human resources in the organization. This research provides clearer insights into the strategies that can be used to optimize Big Data in crisis communications, so that organizations can strengthen communication effectiveness, maintain reputation, and build public trust amidst evolving information challenges.

The digital era development brings many factors that influence people's purchase intention, especially through digital marketing communication content. This study aims to identify whether copywriting in TikTok hyalucera moisturizer The Originote partially and simultaneously affect public purchase intention using quantitative research methods. The population in this study involves people who have and have not become consumers of the product so that it is infinite with a sample of 100 respondents obtained through simple random sampling. The results of the research analyzed using the IBM SPSS Statistics 26 program show that the copywriting elements of attention (X1) and communicate (X2) have no positive and significant effect partially with a  value of 1.259 and a significance value of 0.211 for X1 and -0.519 with a significance value of 0.605 for X2. Meanwhile, the persuade (X3) and conviction (X4) variables have a positive and significant partial effect on people's purchase intention with a  value of 3.482 and a significance value of 0.001 for X3 and a  value of 3.958 with a significance value of 0.000 for X4. Copywriting elements simultaneously have a positive and significant effect on public purchase intention with an  value of 57.329 and a significance value of 0.000. Based on the coefficient of determination (R2) test, copywriting elements have a positive and significant effect on purchase intention (Y) of 70.7% with the remaining 29.3% influenced by other factors not included in this study. Suggestions that can be given for variables X1 and X2 are making titles using the 4 U's formula and creating message content using the you-orientation method because good copywriting not only persuades and convinces, but also must attract attention and communicate.