Moh. Khairudin’s scientific contributions

DC motor utilization is obtained in various of industrial activities and non- industrial activities. The utilization of DC motors in various purposes, it is necessary to control a velocity of the DC motor in accordance with a required velocity and this control can be conducted through a power converter. In this study, the utilization of DC chopper for velocity control of DC motor through Fuzzy logic controller proportional integral (FLC-PI) method for electric rail train is developed. The FLC-PI supports to achieve an adaptive controller. It has been adapted to achieve a good performance for auto tuning PI controller. The development process is conducted through simulation work with Matlab software. This study compares the performance between the system with PI control and FLC-PI control. The results of this study obtained the comparison between the PI and FLC-PI performances for the system without load are 1.06% and 0% overshoots respectively. In other to the comparison between the PI and FLC-PI performances for the system with load of 100 Nm are 0.5% and 0% overshoots respectively. And when the comparison between the PI and FLC-PI performances for the system with load of 200 Nm are 0.27% and 0% overshoots respectively. Thus, FLC-PI has shown more better performance than PI control.

The widespread use of AI-based technologies has sparked educational, social, and political interest in AI training. Education systems must prepare individuals for a world with AI. AI literacy is a cognitive and pedagogical difficulty. AI's language and intricacies need redefining literacy. Because these systems are easy to use, more individuals are utilizing them than those with limited conceptualizations (such as an inability to grasp the future relevance of these systems) or competencies (like an inability to comprehend how these systems function). The study investigates the increasing significance of artificial intelligence (AI) literacy within the context of media literacy. As AI technologies permeate various aspects of modern media, the capacity to comprehend and engage critically with these systems has become essential. The paper begins by analyzing the intricate intersection of AI and media, focusing on content creation, dissemination, and consumption. It then emphasizes the importance of AI literacy, which is the ability to comprehend, implement, and evaluate AI technologies critically, similar to traditional media literacy skills. Finally, the paper proposes that AI literacy, as part of media literacy, entails understanding how these systems function and their ethical and societal implications. The paper's conclusion offers a comprehensive framework for incorporating AI literacy into media education curricula, aiming to empower individuals to navigate, evaluate, and responsibly participate in the evolving AI-mediated media landscape.