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All Journal JISTech (Journal of Islamic Science and Technology) Journal of Computer Networks, Architecture and High Performance Computing
Aryo Pratama
Universitas Islam Negeri Sumatera Utara
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Materials Science & Nanotechnology Other

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EVALUASI TATA KELOLA TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 5 STUDI KASUS: CV. BATARA JAYA TRANSPORTASI (YOJOL) Raissa Amanda Putri; Aryo Pratama; Agung Setiawan Hasibuan; Andriyani Dwi Astuti
JISTech (Journal of Islamic Science and Technology) Vol 6, No 1 (2021)
Publisher : UIN Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/jistech.v6i1.9543

Abstract

Currently, information technology is an important part for companies to meet their needs and support the achievement of the company's strategic plans. Providing competitive advantages, increasing effectiveness, time and reducing expenses is the role of information technology that is very vital in today's business area, as well as CV Batara Jaya Transportasi, which has prioritized information technology in daily activities. By examining information technology governance using the COBIT 5 framework in a company, it can be seen whether the company has met the indicator requirements. In this study, an audit of the governance framework and maintenance was conducted at CV. Batara Jaya Transportasi (YoJol) to find out the ability indicators and the results have been obtained by using a questionnaire distributed to the company. In this study, it was found that CV. Batara Jaya Transportasi (YoJol) has achieved the results expected.
Implementation of K-Means Clustering in Recognizing Crime Hotspots and Traffic Issues Through GIS Aryo Pratama; Muhammad Dedi Irawan; Septiana Dewi Andriana
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.
Co-Authors Agung Setiawan Hasibuan Andriyani Dwi Astuti Muhammad Dedi Irawan Raissa Amanda Putri Septiana Dewi Andriana, Septiana Dewi