Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Cosmic Jurnal Teknik
Khairani, Rika
Unknown Affiliation
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Pengujian Asap Aplikasi Web Direktori Eksportir Haryaveda, Almeranda; Khairani, Rika
Cosmic Jurnal Teknik Vol 1 No 2 (2024): Mei
Publisher : Ali Institute or Research and Publication

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

Abstract

This research presents an analysis of initial testing (Smoke Testing) on a web application known as Directory Exporter. Smoke Testing is a type of performance testing designed to ensure that an application is fundamentally operational and can be run without failure in the early stages of development. In the context of this application, Smoke Testing was performed to evaluate the core functionality and basic capabilities of the Directory Exporter.Testing methods include testing key features such as directory export capabilities, operational continuity under light load conditions, and compliance with initial specifications. The results of this Smoke Testing analysis can provide insight into the initial stability of the application, identify potential problems or failures, and provide a basis for further development. This research contributes to the practical understanding of implementing Smoke Testing in web applications, with a special focus on the Directory Exporter.
An Agent-Based Modeling Approach for Crowd Movement in Confined Spaces Anggraini, Delia; Khairani, Rika; Pangestu, Dimas
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2006

Abstract

This study presents an agent-based modeling approach to analyze crowd movement and evacuation performance in confined spaces. The model simulates individual agents navigating toward a single exit while avoiding collisions under varying density conditions. Three evacuation scenarios were evaluated, consisting of 20, 40, and 60 agents within a confined environment measuring 10 × 8 meters. The simulation was executed using a discrete time step of 0.1 seconds, and performance was assessed based on evacuation time and collision frequency. The results indicate that increasing crowd density significantly affects movement efficiency. The 20-agent scenario achieved an average evacuation time of 6.42 seconds with 95.33 collision events. When the number of agents increased to 40, the evacuation time rose to 6.90 seconds with 391.77 collisions. The highest density scenario, consisting of 60 agents, produced an average evacuation time of 7.08 seconds and 890.73 collision events. These findings demonstrate that higher density levels lead to a disproportionate increase in interaction intensity and congestion, resulting in reduced evacuation efficiency. The study confirms that agent-based modeling is an effective approach for analyzing crowd dynamics in confined environments and provides a reproducible framework for evaluating evacuation performance under varying density conditions.
Co-Authors Anggraini, Delia Haryaveda, Almeranda Pangestu, Dimas