Preterm birth (PTB) occurs before 37 weeks of pregnancy. Although many factors influence the course of pregnancy, the actual cause of PTB remains unknown, and current medical efforts focus more on reducing the effects rather than preventing them. Therefore, a technology-based approach is needed to predict essential characteristics and develop a prediction model using machine learning algorithms. This study aims to identify the characteristics of PTB and develop a prediction process model using machine learning. Data was collected from Hospital Dr M. Ansari Saleh in Banjarmasin between 2020 and 2022, involving 915 samples. Factors include maternal factors, demographics, nutritional status, and current pregnancy, which are assessed using a machine- learning algorithm. To determine the best accuracy, this study tested the algorithm's performance with data division ratios of 90/10, 80/20, 70/30, and 60/40. Optimum results were obtained with 80/20 division, then optimized using Particle Swa.....

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