Utilizing Digital Information for Personalized Cholesterol Management

Patients with diseases due to high cholesterol levels in Indonesia can be said to be high because, in 2022, sufferers of the disease reached $28 \%$, with $7.9 \%$ of people dying. The problem in this study is the need for more understanding, awareness, and ability of the community to manage and maintain cholesterol through digital information, especially social media. This research uses a questionnaire to understand the community’s needs and supporting factors in digitally managing cholesterol through social media. This research gathered data using purposive sampling through a Google Form questionnaire. The data collection was conducted in April 2024 in various cities in Indonesia and successfully collected 221 responses. The method used to analyze the data in this study is the Structural Equation Model (SEM) using Smart Partial Least Square (Smart-PLS) 4.0 as the analysis approach. In this study, there are ten variables with five indicators each, and there are 11 hypotheses. The outcomes of this study show that all of the indicators were valid and reliable, with all hypotheses having a significant effect. Indonesian people must be able to utilize digital information to increase knowledge and understanding about health, especially about Cholesterol Management, so that the number of people affected by disease and who die from cholesterol can be reduced.