The World Health Organization (WHO) and the United Nations International Childrens Emergency Fund (UNICEF) both advocate for initiation of breastfeeding within one hour of a babys birth. The Indonesian government supported the WHO and UNICEF programs by implementing exclusive breastfeeding programs in 2012. Exclusive breastfeeding is recommended for the first 6 months of a childs life, followed by the introduction of appropriate and safe complementary nutrition while continuing breastfeeding for up to 2 years or more. There are 18 factors that can influence the success of the exclusive breastfeeding program, and these factors will be taken into consideration. To analyze the impact of these factors, the Naive Bayes algorithm and Support Vector Machine (SVM) using JASP were employed. The results indicate that SVM achieved a higher accuracy rate of 99.57% compared to the Naive Bayes method, which yielded an accuracy rate of 99.31%, when applied to exclusive breastfeeding data in Indonesia.