Ridwan, Muhamad Asep
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The The Recognition of American Sign Language Using CNN with Hand Keypoint Ridwan, Muhamad Asep; Aradea; Mubarok, Husni
International Journal on Information and Communication Technology (IJoICT) Vol. 9 No. 2 (2023): Vol.9 No. 2 Dec 2023
Publisher : School of Computing, Telkom University

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Abstract

Sign Language is a method used by the deaf community for their communication. In line with the advances of deep learning, researchers have widely interpreted neural networks for language recognition in recent years. Many models and hardware have been developed to help get high accuracy in language recognition, but generally, the problem of accuracy is still a concern of researchers, even the accuracy problem related to American language or American sign language (ASL) still requires further research to solve. This paper discusses a method to improve ASL recognition accuracy using Convolutional Neural Network (CNN) with hand keypoint. Pre-trained Keypoint detector is used to generate hand keypoints on the massey dataset as an input for classification in the CNN model. The results show that the accuracy of the proposed method is better than the previous studies, obtaining an accuracy of 99.1% in recognizing the 26 statistical signs of the ASL alphabet.
Implementation of The Problem based Learning (PBL) Model on Students' Mathematical Connection Abilities Ridwan, Muhamad Asep; Kusnandi, K
Proceedings International Conference on Education Innovation and Social Science 2025: Proceedings International Conference on Education Innovation and Social Science
Publisher : Universitas Muhammadiyah Surakarta

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This research was conducted with the aim of identifying, describing, and analyzing findings from various studies discussing the implementation of the Problem-Based Learning (PBL) model in impoving students mathematical connection skills. The method used was a systematic Literatur Review (SLR), which allowed researchers to comprehensively examine various relevant primary literatur. The data collection Process was carried out through the stages of selecting scientific articles based on predetermined inclusion criteria, and a total of 18 articles were declared eligible for further analysis. The selected articles were classified based on educational level, methodological approach, and the impact of PBL implementation on students' mathematical connection skills. The research findings showed that the implementation of the PBL model consistently had a positive influence on improving mathematical connection skills, especially in junior high school students. In addition, a quantitative approach with experimental and quasi-experimental designs was the most widely used method in measuring the effectiveness of the PBL model. These results indicate that PBL is a potential pedagogical approach in supporting the development of students' mathematical connection skills at various educational level.