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Entrepreneurial Mindfulness Based on Artificial Intelligence
Author(s) -
Yasinta Indrianti,
Sasmoko,
Nor Fadila Mohd Amin,
Sucianna Ghadati Rabiha,
Nugroho J. Setiadi,
Agustinus Dedy Handrimurtjahjo,
Herawati Herawati
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1641/1/012069
Subject(s) - mindfulness , competence (human resources) , profiling (computer programming) , psychology , knowledge management , applied psychology , computer science , social psychology , psychotherapist , operating system
The ability to self-diagnose to build capacity as an entrepreneur is something that is important in order to bridge the development of self-competence needed in the industrial era 4.0. This ability is expected to bring up a condition in which a person has full active awareness of the awakening of the entrepreneurial spirit within himself to then produce a productive person called Entrepreneurial Mindfulness. This study aims to develop self-detection tools about Entrepreneurial Mindfulness through an artificial intelligence-based website for students and alumni who are entrepreneurs. The research method used is the Neuroresearch method for developing Entrepreneurial Mindfulness measurement tools and the waterfall method for developing Artificial Intelligence-based websites. The results of research in the form of an Artificial Intelligence-based website about Entrepreneurial Mindfulness where the website will be able to provide profiling based on diagnoses made related to the level of Entrepreneurial Mindfulness owned by students and alumni in implementing entrepreneurial practices.

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