Clustering Of Small And Medium-Sized Enterprises Using K-Prototypes Clustering Based On Cybersecurity Criteria

Hawari, Fauzan Adzima (2025) Clustering Of Small And Medium-Sized Enterprises Using K-Prototypes Clustering Based On Cybersecurity Criteria. Masters thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

In the rapidly evolving era of Industry 4.0, the roles of corporate reputation and data security are increasingly crucial in determining organizational success. The utilization of advanced technologies, such as the Internet of Things (IoT) and automation systems, enables companies to collect and manage big data for better decision-making. In Indonesia, Micro, Small, and Medium Enterprises (MSMEs) play a significant role in its economy, contributing over 22 billion USD in 2022. The use of digital platforms by MSMEs in Indonesia has seen continuous growth over the years, including the adoption of e-commerce. However, with this growth comes the risk of negative impacts associated with increased online activities and transactions, such as the spread of hoaxes or fake information, potential reputation damage, online fraud, and cyberattacks perpetrated by irresponsible parties. Despite the importance of information security in safeguarding organizational assets, the development and implementation of cybersecurity pose challenges for MSMEs due to their small size. Therefore, there is a need for mapping and grouping MSMEs based on those that already have cybersecurity measures in place and those that urgently need to implement them. Cluster analysis using the K-prototypes method emerges as a relevant approach to categorize small to medium-sized enterprises based on security criteria, aiding in understanding the security challenges faced by similar groups. The findings of this research are expected to provide valuable insights into determining criteria for IT-utilizing small to medium-sized enterprises and categorizing them based on security criteria using clustering methods. With a better understanding of cybersecurity, small to medium-sized enterprises can enhance data protection, preserve reputation, and ensure business sustainability in a competitive digital era.

Item Type:	Thesis (Masters)
Subjects:	T Technology > T Technology (General) > T11 Technical writing. Scientific Writing T Technology > T Technology (General) > T174.5 Technology--Risk assessment. T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T58.6 Management information systems T Technology > T Technology (General) > T58.64 Information resources management
Divisions:	Interdisciplinary School of Management and Technology (SIMT) > 61101-Master of Technology Management (MMT)
Depositing User:	Fauzan Adzima Hawari
Date Deposited:	21 May 2026 00:52
Last Modified:	21 May 2026 00:52
URI:	http://repository.its.ac.id/id/eprint/126882

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