cover
Contact Name
M. Yonggi Puriza
Contact Email
myonggipuriza@ubb.ac.id
Phone
+628989339294
Journal Mail Official
jurnalelectron@ubb.ac.id
Editorial Address
Jurusan Teknik Elektro, Fakultas Teknik. Universitas Bangka Belitung. Gedung Dharma Penelitian, Fakultas Teknik Kampus Terpadu Universitas Bangka Belitung Balunijuk, Kabupaten Bangka, Prov. Kep. Bangka Belitung, 33172
Location
Kab. bangka,
Kepulauan bangka belitung
INDONESIA
Electron: Jurnal Ilmiah Teknik Elektro
ISSN : 2830523X     EISSN : 26226588     DOI : https://doi.org/10.33019/electron
E-journal of the Department of Electrical Engineering, Faculty of Engineering, University of Bangka Belitung, is a media for publication and information for scientific papers, undergraduate thesis, research, planning and design concepts, and analysis from students, professors, or any authors concerning various fields of electrical engineering, including electronic engineering, control engineering, telecommunication, and even electricity. This journal is published twice a year, in May and November. Every article on this e-journal has never been published before in other scientific journals. Aims and Scopes: Electronics: Electronics Material, Microelectronics System Control System: Control System Engineering, Control and Instrumentation Engineering, Robotics Telecommunication: Signal Modulation and Processing, Antenna and Wave Propagation IT: Theory of Information and Coding, Computer and Informatics Engineering Electrical Power Engineering: Electricity, Transmission and Distribution, Renewable Energy.
Articles 92 Documents
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
Pemetaan Posisi Perokok pada Suatu Ruangan Menggunakan Metode K-Nearest Neighbor (KNN) Anisa Ulya Darajat; Muhammad Qutham Najmi Abdillah; FX Arinto Setyawan; Helmy Fitriawan
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.v7i1.505

Abstract

Due to the high prevalence of smoking among individuals aged 15 and older in Lampung Province and limited enforcement of smoke-free areas, a system was developed to detect and map smoker locations within a 4 × 3.42-meter room using four MQ-7 sensors. The K-Nearest Neighbor (KNN) algorithm classified smoke source locations based on carbon monoxide (CO) concentrations across four designated observation zones. Experimental results indicated that the system had an average sensor reading error of 2.041%. The classification process for smoker positions achieved 93.75% accuracy and displayed smoker locations in Zones 1, 2, 3, and 4 on a dashboard map. Detection and classification data were stored in the InfluxDB database and visualized online using Grafana. The system also delivered real-time values in parts per million (ppm), the status of each zone, and a ten-minute history of ppm values

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