A. Mailangkay

Predicting Quotation Success Based on Historical Project Data in Aluminum SMEs Using Classification Algorithms

Small and medium enterprises (SMEs) in Indonesia's B2B aluminum and glass construction sector convert only 13–15% of their quotations, which means most of the pre-bid work on site assessment, costing, and proposal preparation produces no revenue. Machine learning has performed well at predicting B2B sales outcomes in l...

Moral-Technical Relationship: A Structural Analysis of Trust and Academic Integrity as Predictors of Generative AI Adoption in Higher Education