p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Buletin Poltanesa
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Web-based Information Security Risks The Grading System in High Schools Uses NIST 800-30 Isman Hidayat; Maria Veronika; Jarot Suroso
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3512

Abstract

— Digital transformation in the education sector requires institutions to adopt web-based information systems that serve as the backbone of academic and administrative operations. While these platforms improve efficiency and accessibility, they also introduce a growing number of cyber threats that may compromise the confidentiality, integrity, and availability of institutional data. This study seeks to identify, analyze, and prioritize information security risks associated with web-based systems at SMKN 7 Tangerang Regency. The research adopts the NIST SP 800-30 framework as the methodological foundation for risk assessment, ensuring a systematic and comprehensive evaluation process. A quantitative approach was implemented by distributing questionnaires to key stakeholders, including administrators, IT staff, and teachers, in order to capture diverse perspectives on vulnerabilities and threats. The results revealed 15 significant risk factors spanning governance, operational, and technical domains. Among these, the absence of a formal information security policy, the lack of data encryption mechanisms, and the absence of continuous monitoring systems were identified as the highest-priority risks, each reaching a risk score of 12. To address these challenges, the study recommends the development of structured mitigation strategies, such as formulating security policies, implementing encryption protocols, and establishing proactive monitoring tools. The contribution of this research lies in producing a scalable risk assessment model that can be applied to other educational institutions. By doing so, it provides practical guidance for decision-makers and educators in creating a more secure, resilient, and trustworthy digital learning environment.
Evaluation of the TDWI BI and AI Maturity Model on SMEs and Non-Profit Organizations at State Vocational High School 7, Tangerang Regency Isman Hidayat; Alfa Ryano Yohannis
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3513

Abstract

The TDWI Maturity Model for Business Intelligence (BI) and Artificial Intelligence (AI) has been widely adopted as a framework for assessing the level of BI and AI adoption in various organizations. However, its application has so far focused on large enterprises, leaving little exploration of its relevance and suitability for small and medium enterprises (SMEs) and non-profit organizations, particularly in Indonesia. This study aims to evaluate the relevance of the TDWI BI and AI Maturity Model questionnaire in the context of vocational high schools (SMK) and non-profit educational institutions, identify contextual gaps, and propose adaptations to improve its implementation and effectiveness. A qualitative research approach with thematic analysis was used to analyze data from four key respondents: a principal, a curriculum coordinator, an IT operator, and a teacher. The analysis focused on the alignment of the TDWI model with the organizational, technical, and social contexts of the schools. The research findings indicate that, although the TDWI model is conceptually relevant, several adaptations are needed to make it more applicable in educational settings. Suggested adaptations include simplifying technical language to make it understandable for non-technical staff, integrating data literacy and resource-based indicators to assess staff readiness and organizational capacity, and adding a social impact dimension to evaluate the contribution of BI and AI to educational quality and equitable access to learning. Six critical themes emerged as challenges to implementing the TDWI model in schools: language clarity, financial context, organizational structure, resource constraints, digital literacy, and social impact. Addressing these themes could improve the localization of the global maturity model, making it more relevant to SMEs and non-profit educational institutions. This study expands theoretical and practical understanding of the application of BI and AI frameworks beyond large corporations, emphasizes contextual adaptations, and provides guidance for school administrators, policymakers, and educational technology practitioners.