Discovering Hidden Pattern in Social Media Data to Empower MSMEs in The Digital Economy

Authors

  • Indira Nuansa Ratri Digital Business Study Program, Banyuwangi State Polytechnic, Indonesia
  • Arum Andary Ratri Digital Business Study Program, Banyuwangi State Polytechnic, Indonesia
  • Junaedi Adi Prasetyo Computer Engineering Technology Study Program, Banyuwangi State Polytechnic, Indonesia

DOI:

https://doi.org/10.38035/dijemss.v7i2.5569

Keywords:

Digital economy, MSMEs, social media analytics, hidden patterns

Abstract

The digital economy presents new opportunities and challenges for micro, small, and medium enterprises (MSMEs). This study explores hidden patterns in social media data to strengthen MSMEs in the culinary, tourism, and fashion-textile sectors. Using a mixed-methods approach, quantitative data mining of leading brands’ social media was combined with qualitative validation through interviews with nine MSME representatives. Quantitative analysis revealed key engagement trends and content strategies, while qualitative insights confirmed their relevance and feasibility for SMEs. The integration of findings demonstrates that social media analytics can guide SMEs in enhancing digital presence, improving competitiveness, and adapting to shifting consumer behaviors. The study contributes practical recommendations for MSMEs while positioning social media as a strategic tool for sustainable growth in the digital era. 

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Published

2025-12-06

How to Cite

Ratri, I. N., Ratri, A. A., & Prasetyo, J. A. (2025). Discovering Hidden Pattern in Social Media Data to Empower MSMEs in The Digital Economy. Dinasti International Journal of Education Management and Social Science, 7(2), 1358–1367. https://doi.org/10.38035/dijemss.v7i2.5569

Issue

Vol. 7 No. 2 (2025): Dinasti International Journal of Education Management And Social Science (December 2025 - January 2026)

Section

Articles

License

Copyright (c) 2025 Indira Nuansa Ratri, Arum Andary Ratri, Junaedi Adi Prasetyo

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