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Simulasi Komparatif: Empat Algoritma Penjadwalan CPU dengan Pemodelan Interupsi I/O Menggunakan OS-SIM Mufid Athooyaa; Mirza Putra Firmansyah Firmansyah; Djuniadi Djuniadi; Alfian Ardhiansyah
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 7 No 1 (2026): Jurnal Electron, Mei 2026
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v7i1.448

Abstract

CPU scheduling is a fundamental component in operating systems that determines processor utilization efficiency and system responsiveness. The objective of this research is to comparatively evaluate four classic CPU scheduling algorithms, namely First Come First Served (FCFS) multiprogramming, Preemptive Shortest Job First (SRTF), Preemptive Priority, and Median Round Robin, considering the effects of I/O interruption. The research method employs experimental simulation through OS-SIM with 12 test sample processes covering CPU bound and I/O bound characteristics. Performance evaluation is conducted based on Average Waiting Time (AWT), Average Turnaround Time (ATT), Average Response Time (ART), CPU efficiency, and throughput parameters. Simulation results demonstrate that the Preemptive SJF (SRTF) algorithm produces the most efficient performance with AWT of 15.5 s and ATT of 20.5 s, lower than other algorithms. FCFS and Median Round Robin excel in providing quick initial response with ART of 10.58 s and 10.42 s respectively, but result in higher waiting times. Preemptive Priority stands in the middle position with AWT of 18 s and ATT of 23 s, but potentially causes starvation for low-priority processes. The novelty of this study lies in the explicit modeling of I/O interruption within a multiprogramming environment, an aspect that has not been systematically addressed in previous comparative studies. This research contributes a guideline for selecting optimal CPU scheduling algorithms based on system workload characteristics, recommending SRTF for batch processing scenarios, while FCFS and MRR are more suitable for interactive environments that prioritize responsiveness
The Impact of Implementing the VAK Model in Practical Learning with Case Method to Improving Students' 21st Century Skills Riska Dami Ristanto; Alfian Ardhiansyah; Ajeng Rahma Sudarni; Humam Nasywa Fawazi; Syarif Romadloni; Damar Hadziq Hidayatilah
Edu Komputika Journal Vol. 12 No. 2 (2025): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v12i2.39372

Abstract

The advancement of the Industrial Revolution 4.0 era requires university graduates to master 21st-century skills in order to actively contribute and play a role in the workforce. This necessity has become a key factor influencing graduates’ employability. However, challenges arise during the learning process, such as low student participation, limited conceptual understanding, and difficulties in developing critical thinking and problem-solving skills, particularly in practicum activities. A solution to address these issues is to implement a combination of student-centered learning models, namely the VAK (Visualization, Auditory, Kinesthetic) model, in practical learning based on the Case Method. The purpose of this study is to analyze the effect of applying the VAK model in case method–based practical learning on the improvement of students’ 21st-century skills. This research employed a Pre-Experimental Design with a One-Shot Case Study approach. The sample consisted of 94 regular class students of the PTIK Study Program at UNNES in the even semester of 2024/2025, enrolled in the Computer Networks course. The data collection instruments were based on 21st-century skill indicators, including communication, collaboration, critical thinking and problem solving, as well as creativity and innovation. Data analysis was conducted using descriptive and inferential statistics. The findings revealed that the application of the VAK model in case method–based practical learning positively influenced the enhancement of students’ 21st-century skills with a significance value of 0.001. The most significant improvements were observed in Collaboration at 87%, Critical Thinking and Problem Solving at 86.2% with a very strong category. Further research is needed to explore the ideal combination of learning models and approaches to achieve greater improvements in 21st-century skills.
An Innovative Approach to Automatically Generating Derivative Questions for Calculus with Rule-based Algorithmic Model Trisnani Widowati; Septian Eko Prasetyo; Anan Nugroho; Ade Novi Nurul Ihsani; Alfian Ardhiansyah; Ajeng Rahma Sudarni; Mulil Khaira; Clarita Apriliani; Anik Maghfiroh
Jurnal Penelitian Pendidikan Vol. 42 No. 2 (2025): October 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jpp.v42i2.62082

Abstract

This study aims to develop an automated system for generating derivative function questions to enhance learning and assessment in calculus education. The system uses a rule-based algorithmic approach to generate questions covering various derivative rules, including constant, power, sum, difference, product, quotient, and chain rules, with randomly generated coefficients and exponents. The system's performance was evaluated by measuring the accuracy of the generated questions, achieving a validity rate of 95.63%, and execution time, with an average of 0.00115 milliseconds per question, indicating high efficiency and effectiveness. The results show that the system successfully generates valid questions across various derivative rules, offering significant contributions to both students and educators in the context of calculus education. The system can be further developed by adding additional derivative rules and integrated into larger educational platforms to support a more comprehensive learning experience.