ABSTRACT Name : Dhata Karuni Mutia Masyita Study Program : Ilmu Komputer Title : Implementation of Single Layer Feedforward Network Using Fast Artificial Neural Network and Extreme Learning Machine for Facial Keypoints Detection Facial keypoints are human facial feature points that indicate essential objects on face. Machine learning is needed to recorgnize the data pattern and train the facial keypoints detection model. Single Layer Feedforward Network (SLFN) is used as the model and implemented using C neural network library, named Fast Artificial Neural Network (FANN) and Extreme Learning Machine (ELM). Data are gathered from Facial Keypoints Detection competition on Kaggle. There are 15 facial keypoints coordinates that must be predicted for each image. From this research, model with the best accuracy is obtained from FANN and ELM is able to train model within seconds. The result is expected to be able to used for further reaseach, such as face recogniton. Kata Kunci: Facial keypoints, Single Layer Feedforward Network, Fast Artificial Neural Network, Extreme Machine Learning