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Optimizing Big Data Driven Strategic Management to Enhance the Quality of Adaptive Contemporary Islamic Education Prasasti Karunia Farista Ananto; Cecep Hilman; Eka Muzalfitri Ridwan; Nor Anisa
Khazanah: Journal of Islamic Education and Science Vol. 2 No. 1 (2026): Khazanah: Journal of Islamic Education and Science
Publisher : Institut Bahri Asyiq Galis Bangkalan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61815/khazanah.v2i1.888

Abstract

Digital transformation in education has driven the utilization of large-scale data as a basis for strategic decision-making. However, Islamic education has continued to face limitations in integrating data-based approaches into its management systems, resulting in limited adaptability to change. This study aimed to analyze the optimization of big data -based strategic management in improving the quality of adaptive contemporary Islamic education. The study employed a descriptive qualitative approach with a meta-analysis method of scientific literature published between 2018 and 2025 from reputable digital databases. Data were collected through digital documentation using Boolean keyword techniques and were selected through a systematic protocol. Data analysis was conducted using content and thematic analysis to identify patterns, concepts, and relationships among variables. The findings indicated that the utilization of big data significantly enhanced the effectiveness of strategic management through the strengthening of data-driven planning, implementation, and evaluation. In addition, such integration improved the quality of Islamic education in terms of curriculum, governance, and institutional adaptability. This study contributed to the development of an integrative model of data-based Islamic education management relevant to the demands of the digital era.
Butiran Emosional (Emotional Granularity), Agresivitas Bisnis (Microaggressions), dan Ragam Naluri Bisnis (Neurodiversity) bagi Kinerja StechPreneur Eka Muzalfitri Ridwan; Lendra Dika Kurniawan
Jurnal Manajemen dan Bisnis Kreatif Vol. 12 No. 1 (2026): JURNAL MANAJEMEN DAN BISNIS KREATIF
Publisher : LPPM Universitas Buana Perjuangan Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36805/cfvnes29

Abstract

This study investigates how emotional granularity, business aggressiveness, and business instinct variety shape the performance effectiveness of StechPreneur among micro and small enterprises (MSEs) in Pangkalpinang, Indonesia. A mid the rapid growth of digital commerce, MSE actors are required not only to master technology but also to manage emotional, competitive, and cognitive complexity in running an online-based business. Using a quantitative approach, data were collected through a five-point Likert-scale questionnaire distributed to 20 MSE actors selected through purposive sampling, all of whom actively use social media to market their products. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with a bootstrapping procedure (5,000 resamples) to test the structural paths. The measurement model demonstrated adequate convergent validity and reliability for all constructs. The structural model shows that business instinct variety has a strong and significant positive effect on StechPreneur performance effectiveness, business aggressiveness shows a positive but only marginal effect, while emotional granularity does not exert a significant effect. The model explains 85.1 percent of the variance in performance effectiveness with acceptable predictive relevance. These findings imply that cultivating adaptive business instinct is more decisive for MSE performance in the digital era than emotional precision or competitive intensity alone, offering practical direction for entrepreneurship development among micro-business communities.