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This study aims to analyse the risk factors for the incidence of unprogressed labour in RSUD Datu Beru Takengon in 2023. This type of research is case control. The study sample was 36 mothers with undeveloped labour (case) and 36 mothers with normal labour (control). Data were analysed with Chi-Square test and multiple linear regression. The results of the study using the Chi-Square test showed that: variable age with a p-value of 0.005, height with a p-value of 0.001, cephalopelvic disproportion with a p-value of 0.033, location abnormality with a p-value of 0.05, his abnormality with a p-value of 0.031, and premature rupture of membranes with a p-value of 0.018. These results conclude that there is an association between the factors of age, height, cephalopelvic disproportion, abnormality of location, abnormality of hiss, and premature rupture of membranes to the incidence of non-progressing labour. The results of multiple linear regression test showed that the most influential variables were: height with Exp (B) value 26.271, infant weight with Exp (B) value 12.173, age with Exp (B) value 7.883, and abnormality with Exp (B) value 4.776. In conclusion, of the 9 risk factors for induced labour, the variables of age, height, abnormality and baby weight were influential. Parity, cephalopelvic disproportion, his abnormality, labour process, and premature rupture of membranes were not influential. It is recommended for health workers to implement labour screening, recognise high-risk deliveries, and increase the number of deliveries