Julio Ernesto Quispe Rojas, Paul Fernando Troncoso Castro, Julio Enrique Quispe Tuesta

Proceedings of the 16th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2025, pp. 288-294 (2025); https://doi.org/10.54808/IMCIC2025.01.288

Julio Ernesto Quispe Rojas
Departamento de Computación y Electrónica, Universidad Nacional Pedro Ruiz Gallo, Lambayeque, Lambayeque, Peru

Paul Fernando Troncoso Castro
Departamento de Electrónica, Universidad Nacional de Ingeniería, Rímac, Lima, Peru

Julio Enrique Quispe Tuesta
Departamento de Ingeniera de Sistemas, Universidad Nacional Tecnológica de Lima Sur, Villa el Salvador, Lima, Peru

Cite this paper as:
Quispe Rojas, J. E., Troncoso Castro, P. F., Quispe Tuesta, J. E. (2025). Expert System for the Start of Research in Electronic Engineering in a Public University in Peru. In N. Callaos, N. Lace, B. Sánchez, M. Savoie (Eds.), Proceedings of the 16th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2025, pp. 288-294. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/IMCIC2025.01.288

The present study shows the application of the action research methodology in an interdisciplinary project through the use of artificial intelligence technologies to support the initiation of quality research and its conclusion in an adequate time to obtain the professional degree in the public universities of Peru, because it was verified that each year, only the equivalent of 67% of graduates managed to obtain the professional degree, and that the delay in completing the research was on average 3.7 years. The experience of designing and developing an expert system was selected to facilitate the beginning of research in electronic engineering, with the participation in the interdisciplinary project of expert knowledge engineers in artificial intelligence, of teachers related to the thesis as research experts, and student and graduate users as experts in electronic engineering. The expert system is validated in its operation using a set of test data, processed by the expert system and evaluated by human research experts, then compared using a statistical process. The students of the undergraduate Thesis II course validated the usefulness of the expert system, 64% consider it Very Useful and between Very Useful, Useful and somewhat Useful there is 100%.