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All Journal Journal of Computer Networks, Architecture and High Performance Computing Journal of Engineering and Science Application
Pratama, Aryo
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Education

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Implementation of K-Means Clustering in Recognizing Crime Hotspots and Traffic Issues Through GIS Pratama, Aryo; Irawan, Muhammad Dedi; Andriana, Septiana Dewi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 2 (2024): Articles Research Volume 6 Issue 2, April 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i2.3771

Abstract

The challenge of accurately identifying instances of crime and traffic issues has rendered the precise localization thereof difficult, thereby impeding the populace's access to information concerning areas of high risk and safety. Employing a Geographic Information System (GIS)-based mapping system utilizing the K-means clustering method, spatial data pertaining to crime and traffic concerns are grouped. The primary objective is to aid in the identification of high-risk areas concerning crime and traffic matters. The methodology employed in this study revolves around the application of the K-means clustering method to categorize spatial data relevant to crime and traffic issues. K-means clustering represents a non-hierarchical cluster analysis technique designed to partition data into multiple groups based on spatial similarities. Research findings elucidate that through the utilization of the K-means clustering method, three distinct sets of clusters predicated upon the intensity of crime and traffic issues emerge. Consequently, from these clustering outcomes, districts and specific locales falling within each cluster, denoted as moderately vulnerable (C1), vulnerable (C2), and highly vulnerable (C3), can be delineated. This system is poised to furnish recommendations to pertinent authorities for addressing areas exhibiting heightened intensity levels while concurrently facilitating the generation of reports and dissemination of information to the public via a dedicated website pertaining to areas at elevated risk of crime and traffic issues.
Design of Public Opinion Monitoring Information System in Online Media Pratama, Aryo; Ikhwan, Ali
Journal of Engineering and Science Application Vol. 1 No. 1 (2024): April
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i1.5

Abstract

The Office of Communication and Information of North Sumatra has so far carried out the process of managing public information analysis manually using Microsoft Excel. This is of course less efficient considering the large number of incoming articles and the lack of data that may be out of sync. For this reason, an information system was created that can monitor public opinion in online media to facilitate the work of staff in carrying out the process of monitoring public opinion so that it is more efficient and effective so that it can improve service quality better. . This system is designed using Visual Studio Code as a text editor, PHP programming language as a web builder, Bootstrap as an interface design, and MySQL as a database on the system. This research produces a Public Opinion Monitoring Information System in Web-Based Online Media.
Co-Authors Ali Ikhwan Muhammad Dedi Irawan Septiana Dewi Andriana, Septiana Dewi