Published: 2024-01-01
Analysis of The Millennial View on Insurance as a Key Financial Priority Using K-Means and Decision Tree
DOI: 10.35870/jtik.v8i1.1445
Giany Caroline Theresia Limanauw, Raymond Oetama
Article Metrics
- Views 0
- Downloads 0
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
Millennials, despite being the largest population segment in Indonesia, show little interest in insurance, with only 6-7% having coverage. This raises concerns about their financial preparedness and protection against unforeseen events. Many lack well-thought-out financial plans, focusing on immediate gratification and overlooking risk management, including insurance. This study aims to discover ways to revive millennials' awareness about the importance of insurance in achieving financial stability and well-being. This study employs a questionnaire for data collection and analyzes the data using k-means and decision tree algorithms. Based on the k-means algorithm and decision tree, it was found that many millennials lack insurance coverage. Reasons include lack of understanding, financial constraints, fear of deception, and considering insurance, not a priority. Young adults aged 21-29 showed a better understanding of insurance, but still, a significant portion remains uninsured. These insights can be used to develop educational programs and communication strategies that aim to bridge the awareness gap and increase insurance literacy among millennials
Keywords
Millennials ; Insurance ; Data Analysis ; K-Means ; Decision Tree
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 8 No. 1 (2024)
-
Section: Computer & Communication Science
-
Published: %750 %e, %2024
-
License: CC BY 4.0
-
Copyright: © 2024 Authors
-
DOI: 10.35870/jtik.v8i1.1445
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
Giany Caroline Theresia Limanauw
Information Systems Study Program, Faculty of Engineering and Informatics, Universitas Multimedia Nusantara, Tangerang Regency, Banten Province, Indonesia

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.