Bibliographic citations
Benvenuto, L., Sanchez, A. (2022). Propuesta de un sistema web con componentes de machine learning para optimizar el registro, evaluación y control de las organizaciones sindicales [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/660717
Benvenuto, L., Sanchez, A. Propuesta de un sistema web con componentes de machine learning para optimizar el registro, evaluación y control de las organizaciones sindicales [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/660717
@misc{renati/400154,
title = "Propuesta de un sistema web con componentes de machine learning para optimizar el registro, evaluación y control de las organizaciones sindicales",
author = "Sanchez Padilla, Alfonso Genaro",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
This thesis project includes the development of a proposal for a web solution that allows trade union organizations to register, so that the Ministry of Labor and Employment Promotion (MTPE) can later evaluate it giving a response from this result to the trade union. In addition, these mentioned union organizations will visualize the status of their registration process, they will make inquiries about their observations and the deadlines to make up for them. Finally, the ministry, by having centralized information from the trade unions, will be able to monitor and control them through indicators in the form of statistical graphs for later decision-making. The main objective is to propose a web solution with machine learning components that allows to automate the process of registration, evaluation and control of union organizations. These components will make suggestions to the MTPE staff based on the information of the trade union organizations from external web services.
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