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Agung Rizky

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Open access Oct 2026

A Machine Learning Framework for Startup Investor Matchmaking to Enhance Sustainable Innovation

Accelerating sustainable innovation is a critical mandate for emerging economies. However, the high failure rate of startups, primarily driven by inefficient founder-investor alignment and information asymmetry, remains a systemic obstacle. In Indonesia, this challenge is further exacerbated by traditional matchmaking...

Ninda Lutfiani, M. H. Chakim, Sutarto Wijono et al. · 0 citations
Open access Aug 2026

Human Centered Artificial Intelligence Through GDPR Compliant Data Science Workflow Implementation

A structured GDPR-compliant data science workflow framework is proposed that enables organizations to balance analytical effectiveness, regulatory compliance, and human-centered principles while fostering trustworthy, transparent, and sustainable Artificial Intelligence for real-world digital innovation.

N. Santoso, Dewi Khairani, S. Masruroh et al. · 0 citations

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