https://mail.insyma.org/proceedings/files/original/articles/Yuli_Dewi.pdf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Proceedings of the International Symposium on Management (INSYMA) (Vol 22, 2025) Proceedings meta_title Blockchain and Machine Learning Driven Financial Technologies and Decisions: Study from Indonesian Financial Communities Author #1 Yuli Kartika Dewi Author #2 I Gusti Bagus Yosia Wiryakusuma Author #3 Fahrul Riza Author #4 Haniruzila Hanifah Abstract/Description The aim of this study is to investigate the role of blockchain technology, machine learning and financial decision-making which are increasingly recognized as transformative across various sectors, particularly in financial technology. This study conducted as initial study which will gather more research in the role of Artificial Intelligence impacted many decisions become more effective through combining many dimensions especially in financial sector in Indonesia. Total sample of 31 respondents with specific background as investors or people who has experienced financial decision processes are expected to sharpen the result and give deeper understanding in this topic. Analysis taken with Smart-PLS, the result show that the existence of blockchain technology are give big impact to financial technology and machine learning algorithm also give positive impact to financial decision making while another relation has no significant effect. keywords a;b;c;d Financial technology, Financial decision making, Blockchain technology, Machine learning algorithm publication_date 2025/06/20 2025/06/15 pdf_url https://insyma.org/proceedings/files/articles/Yuli_Dewi.pdf abstract_html_url https://insyma.org/proceedings/items/show/ https://insyma.org/proceedings/items/show/337 firstpage 151 lastpage 156 issn 3047-857X 3047-857X conference Proceedings of the International Symposium on Management (INSYMA) Proceedings of the International Symposium on Management (INSYMA) publisher_name Fakultas Bisnis dan Ekonomika, Universitas Surabaya Fakultas Bisnis dan Ekonomika, Universitas Surabaya no article 26 Volume 22 authors Yuli Kartika Dewi, I Gusti Bagus Yosia Wiryakusuma, Fahrul Riza, Haniruzila Hanifah Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Blockchain and Machine Learning Driven Financial Technologies and Decisions: Study from Indonesian Financial Communities Creator An entity primarily responsible for making the resource Yuli Kartika Dewi*, I Gusti Bagus Yosia Wiryakusuma, Fahrul Riza, Haniruzila Hanifah