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Academic productivity is a vital indicator of student success in higher education, but it is often hampered by the complexity of tasks, transitions in the learning environment, and digital distractions that trigger procrastination. This phenomenon demands a high degree of adaptability so that students do not become trapped in physical and mental exhaustion due to unmanaged workloads. Therefore, this study aims to analyze in depth the causal relationship between time management skills and academic productivity, as well as investigate their role in mitigating academic stress levels in students. The research method applied is a literature review with a qualitative-descriptive approach. The research data was sourced from secondary data in the form of 21 reputable scientific articles (national and international journals) published between 2020 and 2025. The data analysis process was carried out through the stages of data reduction, synthesis of findings, and narrative conclusion drawing to systematically map the relationship between variables. The results and discussion of the study show that time management has a significant positive correlation with improved learning achievement. Specific indicators such as daily schedule planning, priority setting, and self-regulation have been empirically proven to increase task completion efficiency and Grade Point Average (GPA) achievement. Conversely, poor time management was identified as a major predictor of cognitive overload and exhaustion, especially among students with dense curricula such as engineering majors. This study concludes that mastery of time management is not merely a scheduling tool, but a fundamental cognitive strategy that functions as a coping mechanism to maintain mental health and achieve an optimal study-life balance.

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Understanding electric motors and transformers is crucial in the field of electrical power engineering education. To enhance practical learning, a trainer was designed for single-phase AC motors, incorporating an Earth Leakage Circuit Breaker (ELCB) safety system to prevent electric current leakage, which could pose a risk during experiments. The aim of this research is to design and develop a trainer module that serves as both an interactive and safe learning tool for laboratory practicums. The trainer is equipped with a safety circuit, along with controllers such as a voltmeter, ammeter, selector switch, pushbutton, relay, and potentiometer, allowing students to understand and control various electrical parameters. The tool underwent voltage measurements and functional tests at three distinct measurement points to evaluate its performance and safety features. The results demonstrated that the trainer performed effectively, significantly enhancing students' practical understanding of electric power systems and contributing to better hands-on learning experiences in electrical engineering.

This study aims to identify the influence of self-regulated learning and academic flow on the academic achievement of students of the Faculty of Engineering, University of Muhammadiyah Gresik. Academic achievement is measured through the Cumulative Grade Point Average (GPA) as an indicator of success. Internal factors such as self-regulation in learning and full involvement in academic activities are considered to play an important role in the achievement of academic achievement. Using a quantitative approach, this study involved 840 active students from various study programs at the Faculty of Engineering. Data was collected through questionnaires that measured aspects of metacognition, motivation, behavior, absorption, enjoyment, and intrinsic motivation. The results of the analysis show that self-regulated learning and academic flow contribute significantly to student academic achievement, with academic flow having a greater influence.