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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) JURIKOM (Jurnal Riset Komputer) International Journal of Applied Sciences and Smart Technologies
Sumarta, Sean Coonery
Atma Jaya University Of Makassar
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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An improved fuzzy ant colony system for route selection based on real time traffic condition Erick Alfons Lisangan; Sean Coonery Sumarta
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v10.i1.pp51-59

Abstract

With city conditions that often have congestion, a driver need to find a route of the many possible routes that may occur from origin to destination by considering several factors. The weaknesses of the ant algorithm is the dependency of required parameter values and must be set manually. This paper will make improvements to the fuzzy ant colony system (FACS) with minimize parameter dependency by using fuzzy logic to determine the probability of the next node visited by ants. There are four criteria or input variables for fuzzy inference system, that is “Pheromone Intensity”, “Distance”, “Vehicle Intensity”, and “Average Speed”. The routes generated by improved FACS (I-FACS) are more varied than the FACS algorithm. The best condition obtained by I-FACS was at point O/D= 112/34 where at 05:00, I-FACS was able to obtain the route with the best length compared to ACS and FACS. The result of the comparison of the route distance obtained shows that I-FACS is able to produce a better route by 4.16% than FACS by looking at the average distance difference on ACS. This method is expected to be a reference for the development of smart transportation in support of smart mobility, which is one of the components in the smart city concept.
Desain Model Sistem Keamanan Berbasis Kamera Dengan Image Enhancement Algorithm Phie Chyan; Adi Chandra Syarif; Sean Coonery Sumarta; Fransiskus Eduardus Daromes
JURIKOM (Jurnal Riset Komputer) Vol 5, No 4 (2018): Agustus 2018
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.758 KB) | DOI: 10.30865/jurikom.v5i4.956

Abstract

Security is a supporting factor in creating order and stability in the social environment. The issue of environmental security is related to efforts made to avoid and overcome criminal acts in society and now thanks to the advancement of information and communication technology, the function of safeguarding and controlling the environment can be supported by the help of technology to facilitate human work. The security system developed is supported by digital image processing software to process snapshot and recorded images from system cameras with the aim of improving the quality of visual images for the sake of analysis and digital forensic evidence that can be used in law enforcement related to criminal acts. The end result is a product innovation security system that can be utilized by the community in various needs related to security and supervision activities.
The Simulation of Traffic Signal Preemption using GPS and Dijkstra Algorithm for Emergency Fire Handling at Makassar City Fire Service Melki Friaswanto; Erick Alfons Lisangan; Sean Coonery Sumarta
International Journal of Applied Sciences and Smart Technologies Volume 03, Issue 02, December 2021
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/ijasst.v3i2.3821

Abstract

The Makassar City Fire Department often faces obstacles in handling fires. Problems that often hinder such as congestion at crossroads, panic residents, and others. The result of this research is a system that can assist firefighters when handling fire cases in terms of accelerating the firefighting team to the location of the fire. Dijkstra's algorithm will be used to find the shortest path to the fire location and the travel time. Then the traffic signal preemption simulation adjusts the color of the lights when the GPS vehicle approaches the traffic lights on the path to be traversed. The simulation results show that the use of traffic signal preemption in collaboration with Dijkstra's algorithm and GPS can help the performance of the Makassar City Fire Department, especially for handling fires that require fast time.
Co-Authors Adi Chandra Syarif Erick Alfons Lisangan Fransiskus Eduardus Daromes Melki Friaswanto Phie Chyan