Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal JUITA : Jurnal Informatika ICON-CSE Antivirus : Jurnal Ilmiah Teknik Informatika
Rudi Heriansyah
Universiti Kuala Lumpur
Computer Science & IT Engineering

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Real-time Vehicle Surveillance System Based on Image Processing and Short Message Service Agustinus Deddy Arief Wibowo; Rudi Heriansyah
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1187.755 KB) | DOI: 10.30595/juita.v9i2.8728

Abstract

This paper proposes a real-time vehicle surveillance system based on image processing approach tailored with short message service. A background subtraction, color balancing, chain code based shape detection, and blob filtering are used to detect suspicious moving human around the parked vehicle. Once detected, the developed system will generate a warning notification to the owner by sending a short message to his mobile phone. The current frame of video image will also be stored and be sent to the owner e-mail for further checking and investigation. Last stored image will be displayed in a centralized monitoring website, where the status of the vehicle also can be monitored at the same time. When necessary, the stored images can be used during investigation process to assist the authority to take further legal actions.
Performance Evaluation of Digital Image Processing by Using Scilab Rudi Heriansyah; Wahyu Mulyo Utomo
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1698.176 KB) | DOI: 10.30595/juita.v9i2.8434

Abstract

Scilab is an open-source, cross-platform computational environment software available for academic and research purposes as a free of charge alternative to the matured computational copyrighted software such as MATLAB. One of important library available for Scilab is image processing toolbox dedicated solely for image and video processing. There are three major toolboxes for this purpose: Scilab image processing toolbox (SIP), Scilab image and video processing toolbox (SIVP) and recently image processing design toolbox (IPD). The target discussion in this paper is SIVP due to its vast use out there and its capability to handle streaming video file as well (note that IPD also supports video processing). Highlight on the difference between SIVP and IPD will also be discussed. From testing, it is found that in term of looping test, Octave and FreeMat are faster than Scilab. However, when converting RGB image to grayscale image, Scilab outperform Octave and FreeMat.
Automated Vehicle Monitoring System Agustinus Deddy Arief Wibowo; Rudi Heriansyah
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An automated vehicle monitoring system is proposed in this paper. The surveillance system is based on image processing techniques such as background subtraction, colour balancing, chain code based shape detection, and blob. The proposed system will detect any human’s head as appeared at the side mirrors. The detected head will be tracked and recorded for further action.
IMPLEMENTASI ALGORITMA GENETIKA DALAM PENJADWALAN MATA PELAJARAN SMP (STUDI KASUS SMPN 03 PENUKAL) Sintia Laiza; Rudi Heriansyah; Dwi Aksa Verano
Antivirus : Jurnal Ilmiah Teknik Informatika Vol 19 No 1 (2025): Mei 2025
Publisher : Universitas Islam Balitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/antivirus.v19i1.4014

Abstract

Student course scheduling is a complex challenge in optimizing the utilization of time and educational resources. This research aims to develop a solution for scheduling student subjects using the genetic algorithm method, with a case study at SMPN 03 Penukal. Genetic algorithm is a computational approach that uses the concept of genetic evolution to handle scheduling problems. The study involved collecting data related to class schedules, constraints, and student and teacher preferences. With 29 teachers and 3 classes divided into 9 rooms, as well as 11 subjects covering 40 lesson hours per week, scheduling is very complex. The information gathered was used as input in designing the objective function and basic rules of the genetic algorithm. The genetic evolution process is carried out to find the optimal scheduling solution that meets all the constraints and preferences that have been set. The results showed that the genetic algorithm could produce a schedule with a fitness value of -24 after 230 iterations and 100 individuals, although there were still 24 components that did not fit. The limitation of computer specifications affected this result. This research suggests modification of the fitness function and comparison with other optimization algorithms to improve the efficiency and quality of scheduling.
Co-Authors Agustinus Deddy Arief Wibowo Agustinus Deddy Arief Wibowo Dwi Aksa Verano Sintia Laiza Wahyu Mulyo Utomo