One of the complex phenomena that requires synergy from various related professions, including the architectural profession is the situation of large cities that are prone to flooding. An architect's work should not only be enjoyed by its beauty, but by considering the potential for flooding for several flood-prone areas, the architect must be able to adapt and his work shows that he has adapted to flooding. This work is still able to be presented as a good and profitable work from the aspects of business and technology, so it is called Architechnopreneurship. All of this requires education to the architect, to the residents and to the companies involved. This education is carried out through a website with the basic idea of a Flood Potential Detected Architectural Information System, which is to process input from images of architectural buildings (front-end) that will be predicted. Image processing is carried out by searching and determining whether the image has the potential to flood or not according to the learning model of certain Artificial Intelligence (AI) techniques. This research was conducted for 3 (three) years. In the first year, outputs have been produced, namely Construct Theoretical and instruments as well as the results of calibration on Architechnopreneurship, IPR and 5 (five) international publications. The second year resulted in the design of the Architechnopreneurship AI-based Computer Program, Mapping of the Architechnopreneurship survey results, IPR and 5 (five) international publications. The third year produces UI UX Website Architechnopreneurship, HKI instrument Architechnopreneurship and 5 (five) international publications

Arsitechnopreneurship, Architecture, Education, Entrepreneurship, Artificial Intelligence, Neuroresearch

• Ir. Sigit Wijaksono, M.Si, IPM

• Prof. Dr. Ir. Sasmoko, M.Pd., M.A., CIRR, IPU, ASEAN Eng., SMIEEE

• Davy Ronald Hermanus, S.Si., M.Kom.