Women Researcher Award
| Miratul Khusna Mufida |
| Affiliation |
Batam State Polytechnique |
| Country |
Indonesia |
| Scopus ID |
57193644107 |
| Documents |
21 |
| Citations |
47 |
| h-index |
4 |
| Subject Area |
Data Science |
| Event |
The Scientist Global Awards |
Miratul Khusna Mufida is affiliated with Batam State Polytechnique, Indonesia, and has contributed to the advancement of data science through interdisciplinary research activities, scholarly publications, and academic collaboration. Her research profile demonstrates active participation in applied computational methodologies, data-driven analytical systems, and emerging digital technologies relevant to academic and industrial applications.[1] The academic recognition associated with the Women Researcher Award highlights contributions toward scientific development, research dissemination, and innovation within the broader field of data science.[3]
Abstract
The Women Researcher Award recognizes scholarly achievement, scientific engagement, and professional contributions made by women researchers across interdisciplinary academic domains. Miratul Khusna Mufida has established an emerging academic profile within data science through publications, applied computational studies, and analytical research activities. Her documented scholarly contributions, indexed research output, and participation in scientific dissemination demonstrate a developing impact in data-driven methodologies and digital innovation research.[1] The recognition further reflects the increasing importance of inclusive participation in global scientific advancement and academic leadership.[3]
Keywords
Data Science, Women in Research, Scientific Recognition, Computational Analytics, Academic Publications, Research Metrics, Digital Innovation, Applied Data Analysis, Scholarly Impact, Interdisciplinary Research
Introduction
The rapid development of data science has transformed research methodologies across scientific, technological, and industrial sectors. Modern data-driven systems increasingly rely on computational intelligence, analytical modeling, and digital transformation strategies to address complex societal and organizational challenges. Researchers working within this domain contribute to the advancement of statistical learning, predictive analytics, intelligent systems, and information management frameworks.[3]
Within this evolving landscape, Miratul Khusna Mufida has contributed to research activities associated with applied data science and digital analytical systems. Her scholarly output indexed within Scopus demonstrates participation in academic publishing and interdisciplinary research engagement. Such contributions support the broader objectives of scientific innovation, evidence-based analysis, and technological adaptation within higher education and research environments.[1]
Research Profile
Miratul Khusna Mufida is affiliated with Batam State Polytechnique, Indonesia, where she has participated in academic and research activities connected to data science and computational analysis. Her Scopus-indexed research record includes 21 documents with 47 citations and an h-index of 4, reflecting measurable scholarly engagement within the academic community.[1]
Her academic interests align with analytical technologies, information processing systems, and interdisciplinary computational applications. Research indicators suggest consistent participation in scientific communication and publication dissemination through conference proceedings and peer-reviewed academic platforms.[3]
Research Contributions
The research contributions associated with Miratul Khusna Mufida demonstrate involvement in data-oriented methodologies and digital analytical frameworks. Her scholarly activities contribute to applied computational studies and information-driven systems relevant to contemporary data science practices.[1]
- Participation in interdisciplinary research initiatives involving computational analytics and data interpretation methodologies.
- Contribution to scholarly publication dissemination through indexed academic platforms and conference proceedings.
- Engagement with emerging digital systems and analytical approaches applicable to educational and technological environments.
- Support for scientific collaboration and knowledge-sharing activities associated with modern data science research.
Publications
The publication profile of Miratul Khusna Mufida reflects participation in scholarly communication within data science and computational research domains. Indexed publications contribute to citation visibility and academic dissemination within international research databases.[1]
- Research articles associated with data analysis methodologies and computational systems published in indexed proceedings and journals.
- Studies involving digital information systems, analytical frameworks, and applied technological solutions.
- Collaborative academic publications supporting interdisciplinary scientific investigation and data-driven research approaches.
Representative DOI-linked research materials and indexed scholarly outputs support the visibility of her academic contributions within international citation databases.[3]
Research Impact
Research impact indicators provide measurable insight into scholarly visibility and academic influence. The citation profile of Miratul Khusna Mufida indicates ongoing engagement within the research community through references, indexed documentation, and publication accessibility.[1]
Her documented h-index and citation metrics demonstrate developing research recognition within the field of data science. Such indicators are frequently utilized to evaluate academic contribution, publication consistency, and research dissemination performance within international scientific databases.[3]
Award Suitability
The Women Researcher Award recognizes academic commitment, research continuity, and scholarly participation among women researchers contributing to scientific advancement. Miratul Khusna Mufida demonstrates suitability for this recognition through her indexed publication record, interdisciplinary engagement, and contributions to data science-related research activities.[3]
Her involvement in scientific dissemination and applied computational research aligns with the objectives of global academic recognition initiatives that encourage innovation, research participation, and professional development within emerging scientific domains.[3]
Conclusion
Miratul Khusna Mufida has established a developing academic profile through her contributions to data science research, publication activities, and interdisciplinary scholarly engagement. Her indexed research output, citation metrics, and participation in analytical and computational studies reflect continued involvement in scientific advancement and academic dissemination.[1] Recognition through the Women Researcher Award represents acknowledgment of emerging scholarly achievement and the broader importance of inclusive participation in global scientific research communities.[3]
External Links
References
- Elsevier. (n.d.). Scopus author details: Miratul Khusna Mufida, Author ID 57193644107. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57193644107
- Conference paper(2025). Circular Economy Practices for Data Management.
https://doi.org/10.3390/engproc2025097034
- Journal Article(2023). Spatiotemporal Clustering of Parking Lots at the City Level for Efficiently Sharing Occupancy Forecasting Models
https://www.mdpi.com/1424-8220/23/11/5248