Analisis Kinerja CPU dan Manajemen Proses pada Sistem Operasi Windows Saat Beban Penuh Menggunakan Task Manager

Abstract

This study aims to analyze the improvement in students’ understanding of process management and CPU performance in the Windows operating system through observation-based practical activities. The research employs a quasi-experimental design using a one-group pre-test and post-test model. Prior to the practicum, students completed a pre-test to measure their initial understanding of multitasking, CPU resource allocation, and process management. The treatment phase was conducted using the Task Manager to observe CPU behavior when the system was subjected to high workloads through the execution of applications such as Riot Client, Google Chrome, and loop commands in the Command Prompt. During the observation, students recorded CPU usage, memory consumption, system responsiveness, and device stability based on hardware specifications. After the practicum, students completed a post-test to assess improvements in conceptual understanding. The results indicate a significant increase in post-test scores compared to pre-test scores, demonstrating that the integration of theory and practicum is effective in strengthening conceptual mastery. The observations also reveal differences in system performance across low-, mid-, and high-specification devices. Devices with more powerful processors and larger RAM capacities were able to maintain system stability and more efficient CPU usage, while lower-specification devices experienced reduced responsiveness and increased temperature. This study concludes that experimental-based learning provides a more comprehensive understanding of process management and illustrates how hardware specifications affect operating system performance under full load.