Integrating Broadcasting Data Mining and Visualizationfor Effective Big Data Decision Support

Diego Abbas; Arthur Simanjuntak; Thomas Sumarsan Goh

Authors

Diego Abbas iLearning Incorporation Author https://orcid.org/0009-0009-9275-2122
Arthur Simanjuntak Methodist University of Indonesia Author https://orcid.org/0000-0003-2821-6324
Thomas Sumarsan Goh Methodist University of Indonesia Author https://orcid.org/0000-0002-3389-8107

Keywords:

Broadcasting, Data Mining , Big Data

Abstract

In the era of big data and digital broadcasting, organizations face increasing challenges in transforming large-scale broadcasting datasets into actionable insights for effective decision-making. This study addresses the need for an integrated decision support framework that combines broadcasting data mining and interactive visualization to improve the interpretation of complex data patterns. The objective of this research is to develop an integrated approach that applies data mining techniques to broadcasting-related data, such as audience behavior, content performance, engagement patterns, and multi-source media data, supported by visual dashboards for strategic analysis. The method employed includes clustering, classification, and association rule mining to identify meaningful patterns, audience segments, trends, and anomalies within broadcasting datasets. These analytical results are then presented through interactive visualization dashboards that enable stakeholders to explore insights more efficiently and make data-driven decisions. The results show that integrating broadcasting data mining with visualization improves the speed, accuracy, and clarity of insight extraction compared to conventional analytics approaches. User evaluation also indicates that visualized analytical outputs enhance stakeholder understanding of complex broadcasting data and support more accurate strategic decisions. The conclusion of this study confirms that the integration of broadcast- ing data mining and visualization within a big data decision support framework can bridge the gap between raw media data and practical decision-making. This research contributes to the development of more adaptive, efficient, and human centered decision support systems for broadcasting industries and digital media organizations.

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References

[1] J. Fabuyi, O. O. Olaniyi, O. Olateju, N. T. Aideyan, O. Selesi-Aina, and F. G. Olaniyi, “Deepfake regulations and their impact on content creation in the entertainment industry,” Archives of Current Research International, vol. 24, no. 12, pp. 10–9734, 2024.

[2] F. Folorunsho and B. F. Boamah, “Deepfake technology and its impact: ethical considerations, societal disruptions, and security threats in ai-generated media,” International journal of information technology and management information systems, vol. 16, no. 1, pp. 1060–1080, 2025.

[3] Ministry of Communication and Digital Affairs of the Republic of Indonesia. (2025, Apr.) Ai fraud is on the rise: Vice minister nezar patria urges the public to stay vigilant. Ministry of Communication and Digital Affairs of the Republic of Indonesia. Press Release No. 51/HM-KKD/04/2025. [Online]. Available: https://portal.komdigi.go.id/kanal-publik/berita-kini/9248

[4] E. Setiawati, J. Edwards, M. M. Siahaan et al., “Increasing accessibility and personalization in dis- tance learning through adaptive e-learning technology,” Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi, vol. 4, no. 1, pp. 20–29, 2025.

[5] B. V. Moyo, T. Tuyikeze, F. Matsebula, and I. C. Obagbuwa, “An ai-driven conceptual framework for detecting fake news and deepfake content: a systematic review,” Frontiers in Artificial Intelligence, vol. 9, p. 1737790, 2026.

[6] X. He and L. Fang, “Regulatory challenges in synthetic media governance: Policy frameworks for ai- generated content across image, video, and social platforms,” Journal of Robotic Process Automation, AI Integration, and Workflow Optimization, vol. 9, no. 12, pp. 36–54, 2024.

[7] D. Abbas, K. Siahaan, and M. Yusup, “Design thinking as a business model for empowering creative entrepreneurs in the digital era,” Startupreneur Business Digital (SABDA Journal), vol. 4, no. 2, pp. 124– 133, 2025. [8] S. Thomas, “Ai and actors: Ethical challenges, cultural narratives and industry pathways in synthetic media performance,” Emerging Media, vol. 2, no. 3, pp. 523–546, 2024.

[9] I. P. Gustiah and H. Newell, “Enhancing human resource management efficiency through scalable blockchain networks with an adaptive ai approach,” Startupreneur Business Digital (SABDA Journal), vol. 4, no. 2, pp. 114–123, 2025.

[10] R. Hashmi, “Navigating the digital shift: Ethical considerations and technological advances in broadcast- ing,” Innovative Applications and Changing Framework in Digital Broadcasting, pp. 87–114, 2025.

[11] N. Heluey, “Ethical ai governance, trust and deepfake regulation in the uae’s media landscape,” Journal of Digital Media & Policy, vol. 16, no. 2, pp. 195–218, 2025.

[12] Q. Aini, D. Manongga, U. Rahardja, I. Sembiring, and Y.-M. Li, “Understanding behavioral intention to use of air quality monitoring solutions with emphasis on technology readiness,” International Journal of Human–Computer Interaction, pp. 1–21, 2024.

[13] M. Krki´c, “Cultural perspectives on ai usage and regulation in deepfake creation: How culture shapes ai practices,” International Communication of Chinese Culture, vol. 12, no. 2, pp. 225–237, 2025.

[14] A. Sharma and R. Sharma, “Generative artificial intelligence and legal frameworks: Identifying challenges and proposing regulatory reforms,” Kutafin Law Review, vol. 11, no. 3, pp. 415–451, 2024.

[15] O. Muhammad, “Ai-generated deepfakes and the crisis of legal authenticity: Reconstructing evidentiary standards in the digital age,” Sarhad Journal of Legal Studies, vol. 1, no. 1, pp. 01–15, 2025.

[16] H. Huang, “The application of artificial intelligence and ethical,” in Proceedings of the 2025 4th Inter- national Conference on Educational Science and Social Culture (ESSC 2025). Springer Nature, 2026, p. 34.

[17] J. Mathew and A. Narayanan, “Reimagining truth: The role of ai-generated content in shaping media ethics and audience trust in a post-truth era,” Communication Research, vol. 2, no. 1, pp. 72–82, 2025. [18] K. Hussein and B. ¨Ozad, “Ai-driven media manipulation: public awareness, trust, and the role of detection frameworks in addressing deepfake technologies,” ˙Interdisipliner Medya ve ˙Iletis¸im C¸ alıs¸maları, vol. 2, no. 3, pp. 98–133, 2025.

[19] R. A. Sunarjo, A. Andika, N. Lutfiani, and R. Evans, “Ai enabled cybersecurity framework for multi cloud business environments,” ADI Journal on Recent Innovation, vol. 7, no. 1, pp. 100–111, 2025.

[20] S. Alanazi, S. Asif, A. Caird-Daley, and I. Moulitsas, “Unmasking deepfakes: a multidisciplinary ex- amination of social impacts and regulatory responses,” Human-Intelligent Systems Integration, pp. 1–23, 2025.

[21] E. A. S. Mohamed, M. Mallek, H. A. Alaawad, I. M. O. ELTinay, S. A. Alrached, and M. Alamin, “Reg- ulating artificial intelligence in digital media: governance, ethics, ownership, and democratic resilience (2023–2026 review),” Frontiers in Communication, vol. 11, p. 1823630, 2026.

[22] J. Ahmad, “Ai-generated content and violation of human rights: United nations initiatives and internaional community response,” in Journal of Conferences Proceedings Publication, 2026.

[23] M. Mulyati, S. Zebua, D. Apriani, F. P. Oganda, A. Fitriani, S. V. Sihotang, and N. A. Santoso, “Optimiza- tion of community entrepreneurship through diversification and digitalization of locally based chocolate beverages,” ADI Journal on Recent Innovation, vol. 7, no. 1, pp. 88–99, 2025.

[24] C. V. Iyera and N. P. Gokhaleb, “Artificial intelligence, deepfakes, and corporate intelligence: A system- atic literature review on ethical and strategic implications for business transparency and decision-making,” Transforming Financial Management with AI, BI, and Data-Driven Decision Making, p. 67, 2026.

[25] Y. Chen, “Artificial intelligence and digital imaging: Future trends in editing and ethical concerns,” Jour- nal of Sociology and Education, vol. 1, no. 2, 2025.

[26] D. Jonas, H. D. Purnomo, A. Iriani, I. Sembiring, D. P. Kristiadi, and Z. Nanle, “Iot-based community smart health service model: Empowering entrepreneurs in health innovation,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 1, pp. 61–71, 2025.

[27] I. Geraldina, A. Muktiyanto, and U. Rahardja, “Boosting esg performance: Overcoming collusion among entrepreneurial family and institutional shareholders,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 1, pp. 48–60, 2025.

[28] A. Ruangkanjanases, A. Khan, O. Sivarak, U. Rahardja, and S.-C. Chen, “Modeling the consumers’ flow experience in e-commerce: The integration of ecm and tam with the antecedents of flow experience,” SAGE Open, vol. 14, no. 2, p. 21582440241258595, 2024.

[29] R. Fiasal, “Ai in media careers: Ethical and legal challenges and strategies for adaptation.” Journal of Public Relations Research Middle East/Magallat Bhut Al-Laqat Al-Amh-Al-Srq Al-Aust, no. 59, 2025.

[30] T. Moulahi, M. N. Halgamuge, and P. Lorenz, Mitigating the Risks of AI Deepfakes. CRC Press, 2026.

[31] I. A. Mutiara, A. Syamsuddin, M. Maharida, F. Napasti, and L. Hasnawati, “Instilling nationalism and sociopreneurship in young indonesian immigrants,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 1, pp. 37–47, 2025.

[32] S. S. Wulandari, M. L. B. M. Diah, and A. Asari, “Digital proficiency and entrepreneurial mindset for sme success through market savvy and tech literacy,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 1, pp. 26–36, 2025.

[33] A. Alexander, D. Pontan, E. A. Nabila, and L. Sanbella, “Evaluating cost performance and unit rate optimization in surface maintenance operation (smo) earthwork service contracts,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 7, no. 1, pp. 51–60, 2025.

[34] H. Henry, K. Lutfiyah, H. Agustian, and N. Lachlan, “Assessing the environmental and economic impact of smart grid integration in renewable energy management,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 7, no. 1, pp. 38–50, 2025. [35] R. Hardjosubroto, U. Rahardja, N. A. Santoso, and W. Yestina, “Penggalangan dana digital untuk yayasan disabilitas melalui produk umkm di era 4.0,” ADI Pengabdian Kepada Masyarakat, vol. 1, no. 1, pp. 1–13, 2020