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All Journal Electron: Jurnal Ilmiah Teknik Elektro SISFOTENIKA
Mufid Athooyaa
Universitas Negeri Semarang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering

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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
Penerapan Analisis Sentimen di Media Sosial: Sebuah Tinjauan Literatur Sistematis: Sentiment Analysis on Social Media: A Comprehensive Systematic Literature Review Mufid Athooyaa; Salsa Quennya Ratna Siwi; Muhammad Nabel Al Fayed; Fahturomi Anjar Septian; Arief Arfriandi
SISFOTENIKA Vol. 16 No. 1 (2026): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/sisfotenika.v16i1.593

Abstract

Era digital dan media sosial menghasilkan volume data besar yang menghadirkan tantangan ganda: kebutuhan moderasi konten berbahaya dan peningkatan pengalaman pengguna melalui personalisasi. Penelitian ini bertujuan untuk meninjau pemanfaatan Sentiment Analysis berbasis Natural Language Processing (NLP) dalam mendukung moderasi konten dan sistem rekomendasi pada platform sosial. Penelitian ini menggunakan metode Systematic Literature Review (SLR) dengan protokol PRISMA. Data diperoleh dari database Scopus, menghasilkan 14 artikel terpilih yang diterbitkan antara tahun 2020-2025. Hasil tinjauan menunjukkan bahwa model Deep Learning hibrida, seperti BiLSTM-CNN dan Transformer (BERT), mendominasi kinerja moderasi konten dengan akurasi di atas 90%, efektif mendeteksi hoaks, ujaran kebencian, dan sarkasme. Selain itu, integrasi analisis sentimen dalam sistem rekomendasi terbukti meningkatkan personalisasi dengan mendeteksi emosi dan kepribadian pengguna, serta menyaring konten toksik. Disimpulkan bahwa integrasi analisis sentimen bukan hanya sekadar fitur teknis, melainkan elemen strategis untuk menciptakan ekosistem digital yang lebih aman, terpercaya, dan personal.
Co-Authors Alfian Ardhiansyah Arfriandi, Arief Djuniadi Djuniadi Fahturomi Anjar Septian Mirza Putra Firmansyah Firmansyah Muhammad Nabel Al Fayed Salsa Quennya Ratna Siwi