Introduction: The Triglycerides-Glucose Index (TyG), as a cost-effective and novel biomarker for insulin resistance, plays a pivotal role in the pathogenesis of heart disease. This study aims to assess the TyG’s capacity to predict cardiovascular risk. To investigate the correlation between the TyG and the 10-year risk of heart disease determined by the Framingham Risk Score (FRS). Materials and methods: A comprehensive study of 3,832 Indonesian participants (aged 19-65, Male 3,415). TyG Index threshold determined by ROC curve analyses. Its relationship with cardiovascular risk was assessed using the chi-square test and bivariate correlation analysis. Results: 3,832 participants (1,647 with high TyG≥8.7795, mean age 38.86). There was a significant association between TyG Index and FRS (P=0.02, sensitivity 0.53 specificity 0.57 PR 1.537). TyG-BMI and FRS (P<0.001, sensitivity 0.63, specificity 0.55, PR 2.18). METS-IR (P<0.001, sensitivity 0.59, specificity 0.55, PR 1.862), treadmill exercise test and FRS (P<0.025, sensitivity 0.07, specificity 0.96, PR 2). Bivariate correlation analysis between FRS and TyG, TyG BMI, METS-IR, SBP, heart rate, weight, waist circumference, and fasting blood glucose (P<0.001). In subgroup analyses, there was no significant correlation between TyG Index and FRS in the diabetes and hypertension groups (P=0.360, P=0.344). Conclusion: This study shows a strong connection between the Triglycerides-Glucose Index and an elevated 10-year cardiovascular disease risk as determined by Framingham Risk Score. The effectiveness of The TyG Index in predicting cardiovascular risk is affected by hypertension and diabetes.