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All Journal LogicLink: Journal of Artificial Intelligence and Multimedia in Informatics International Journal of Kita Kreatif
Ganesh Ganesh
Indian Institute of Technology Guwahati
Computer Science & IT

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Research Trend on Data Mining Using Bibliometric Analysis with VOSviewer Dika Putra Wijaya; Mohammad Kawtsar; Manon Guinny; Ganesh Ganesh; Nur Laila; Wirda Amirotul Amiroh
LogicLink Vol. 3 No. 1, June 2026
Publisher : Universitas Islam Negeri K.H. Abdurrahman Wahid Pekalongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28918/logiclink.v3i1.05

Abstract

This study aims to analyze global research trends in data mining using bibliometric analysis. The rapid development of information technology has transformed data mining into a crucial tool for various industrial sectors to extract knowledge from large databases. The research method used is a qualitative descriptive approach with a bibliometric approach, assisted by Publish or Perish (PoP) software for data collection from ScienceDirect and Google Scholar databases. Data visualization and mapping were performed using VOSviewer to identify topic clusters, temporal developments, and research density between January 2022 and December 2026. The analysis results indicate the existence of five main clusters: technical aspects of algorithms (red), technological and industrial infrastructure (green), geographic applications and environmental impacts (blue), causality analysis (yellow), and literature synthesis (purple). Overlay visualization reveals a shift in trends from mastery of basic algorithm infrastructure (such as random forests and big data) to a critical evaluation phase focused on risk mitigation, research gap identification, and practical application in the real world. This study provides a strategic overview for researchers to identify collaboration opportunities.
Research Trend on Business Innovation Using Bibliometric Analysis with VOSviewer Dika Putra Wijaya; Mohammad Kawtsar; Manon Guiny; Ganesh Ganesh; Nur Laila; Wirda Amirotul Amiroh
International Journal of Kita Kreatif Vol 3, No 2 (2026): International Journals Kita Kreatif Vol. 3 No.2 Mei 2026
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijkk.v3i2.1526

Abstract

This study aims to map global research trends and identify dominant thematic clusters within the business innovation literature to provide a comprehensive structural framework. Using a descriptive bibliometric approach, publication data spanning from 2022 to 2026 was retrieved from a premier scientific database to evaluate emerging literature patterns and keyword linkages. The findings reveal three core thematic clusters internal dimensions, organizational outcomes, and macro contexts with "business model" and "performance" acting as the central anchors of current academic discourse. Temporally, the literature exhibits a significant evolutionary shift from theoretical foundations in late 2023 toward contemporary, practical applications of digital and green innovation by mid-2024. A key limitation of this study stems from its data scope being bounded to a single scientific database; however, its practical implications highlight that integrating digital and environmental strategies is vital for long-term competitiveness and agility in volatile markets. The distinct novelty of this research lies in providing an integrated Data-Driven Sustainable Business Model Innovation (DDSBMI) perspective, systematically uncovering how technological and ecological factors interact within the broader innovation ecosystem rather than analyzing variables in isolation.
Co-Authors Dika Putra Wijaya Dika Putra Wijaya Manon Guinny Manon Guiny Mohammad Kawtsar Mohammad Kawtsar Nur Laila Nur Laila Wirda Amirotul Amiroh Wirda Amirotul Amiroh