Tesis - Ingeniería en Sistemas de Información

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    “Implementación de un sistema predictivo de enfermedades mediante el análisis exámenes médicos con la utilización de inteligencia artificial para el Laboratorio Salud Familiar del cantón La Maná”
    (Ecuador : La Maná Universidad Técnica de Cotopaxi (UTC), 2024-08) Osorio Muñoz, Letty Fernanda; Suntasig Jaen, Micaela Nicole; Cajas, Jaime Mesías
    The general objective of this research was to develop a disease-predictive system through the analysis of medical exams using artificial intelligence to improve diagnostic accuracy and efficiency in medical care at the “Salud Familiar” Laboratory in La Maná. The specific objectives included reviewing bibliographic sources to establish a solid theoretical foundation, designing the system using the agile SCRUM methodology and advanced technological tools such as Python, Django, SQLite3, and Scikit-learn, and conducting extensive testing to evaluate the system's accuracy, efficiency, and reliability. The research conclusions were favorable. The bibliographic review provided a robust theoretical foundation, which was fundamental for the successful implementation of the system. The system design was carried out in a structured and efficient manner, ensuring flexibility and adaptability for future improvements. Extensive testing confirmed that the system is highly accurate, efficient, and reliable, significantly enhancing the laboratory's ability to offer early and precise diagnoses. The system's impacts are positive. Technically, it represents a significant advancement by integrating cutting-edge technologies into clinical data management. Socially, it improves the quality of medical care, directly benefiting the community of La Maná. Environmentally, it optimizes resource use and reduces medical waste and paper consumption. Economically, it reduces costs associated with unnecessary tests and incorrect treatments, benefiting both the laboratory and patients. It is recommended to continuously maintain and update the system, train the laboratory staff, expand the system to include more types of exams and diseases, and explore new artificial intelligence techniques for future improvements. Future researchers should continue exploring and evaluating advanced artificial intelligence and machine learning techniques to further enhance predictive health systems.
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    Implementación de una plataforma informática como estrategia de aprendizaje para los niños con discapacidad visual de educación especial del PAMUNIQ de la ciudad de Quevedo
    (Ecuador : La Maná Universidad Técnica de Cotopaxi (UTC), 2024-08) Párraga Muñoz, Santo Juventino; Najarro Quintero, Rodolfo
    The purpose of this thesis project is to implement an educational computer platform as one of the ICT Information and Communication Technologies that children with visual disabilities can access. The proposal focused on improving the interaction of children with visual disabilities with the computer platform of the PAMUNIQ, Municipal Children's Board of Quevedo, in the course of the research, the need to raise the quality of the technological teaching resources they provide was evident. To its students, especially students with visual disabilities, as well as the support of its authorities in the educational institution, on the other hand, the infrastructure is insufficient, which does not meet the demand of both its teachers and its students. In this sense, we recognize that the implementation of the educational computer platform within the process of stimulating the visual perception of these children with a special condition, as a didactic mediator in the educational process for the transformation of the visual perception of each child. Since ICTs have revolutionized changes in the social environment, when used rationally, they are ideal tools to achieve access to education, without leaving aside children with visual disabilities from PAMUNIQ, taking into account that it is a group conditioned by different barriers, resulting in one of the groups that are usually invisible in the investigations about communication and new technologies, allowing that with ICT'S they create a way to overcome the different learning barriers that they face daily, this implies that they can use effectively regardless of their personal limitations or those derived from their context of daily use in the classroom.
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    Desarrollo de una aplicación móvil mediante algoritmos de recomendación para el monitoreo de plagas en el cultivo de brócoli (brassica oleracia l.var.itálica) en la hacienda San Antonio, parroquia Poaló, del cantón Latacunga.
    (Ecuador: Latacunga: Universidad Técnica de Cotopaxi: (UTC), 2024-08) Farinango Sopalo, Doris Janeth; Gutierrez Tasinchana, Edwin Fernando; Cantuña Flores, Karla Susana
    The objective of this technological proposal project is to develop an innovative mobile application for the efficient control and management of pests in broccoli cultivation at San Antonio Farm, located in Poaló parish. This development uses advanced Artificial Intelligence capabilities, combined with recommendation algorithms, to significantly enhance early detection and effective pest control. The implementation of this technological solution aims to impact the increase in agricultural productivity directly. The mobile application development process was held using the Mobile-D methodology, known for its agile and adaptive approach to mobile app development. For training the Artificial Intelligence model, the KDD methodology was applied, enabling the extraction of relevant knowledge from large volumes of data. Google Colab was used as the development platform, offering a flexible and scalable environment for data processing and model training. Regarding the app development, Flutter was used within the Visual Studio Code environment, allowing for seamless integration of the application's functionalities. Furthermore, the TensorFlow library, along with advanced MobileNetV2 techniques, was utilized to implement the Artificial Intelligence model on mobile devices, ensuring high performance and efficiency in pest recognition.
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    Desarrollo de un sistema de tienda online para el control de ventas e inventario en el almacén Mundo LLaves ubicado en la ciudad de Quito.
    (Ecuador: Latacunga: Universidad Técnica de Cotopaxi. (UTC), 2024-08) Cajamarca Pucachaqui, Danny Santiago; García Zapata, Ángeles Daniela; Corrales Beltrán, Segundo Humberto
    This project focused on developing an online store system for the warehouse "Mundo Llaves", to optimize sales and inventory management. The project addressed the problem of the lack of innovation in the warehouse processes, which generated inefficiencies and errors in manual management, affecting customer and employee satisfaction. The system was designed using Python and Scrum methodology, allowing an agile development focused on user needs. An exhaustive research was carried out to identify reliable bibliographic sources that served as a theoretical basis, as well as to gather user requirements through data collection techniques. This ensured that the system was aligned with the real expectations and needs of the users. The result was a functional web system that allows "Mundo Llaves" to control its inventory and manage its online sales efficiently. The system improved inventory management accuracy, reduced manual errors, and facilitated product monitoring at each branch. It also offered customers a faster and more convenient shopping experience, allowing them to select preferred payment methods and make purchases from anywhere. The implementation of the system not only optimized the warehouse's internal processes but also increased the productivity and satisfaction of both staff and customers. In conclusion, the system developed contributed significantly to the operational improvement of "Mundo Llaves", strengthening its position in the market and improving the quality of the service offered.
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    Desarrollo de un módulo para el sistema de Bienestar Universitario en el Campus Matriz de la Universidad Técnica de Cotopaxi caso de estudio servicio de Medicina General, historial clínico, parte diario y planificación familiar.
    (Ecuador: Latacunga: Universidad Técnica de Cotopaxi: (UTC), 2024-08) Cayo Masapanta, Henry Paul; Quimbita Chicaiza, Carmen Johana; Iza Carate, Miryan Dorila
    Currently, around 30% of universities in Ecuador have implemented a university welfare system that includes medical services, with general medicine being the most relevant. However, in these services, the management of medical records presents significant challenges, as information is often stored in online systems susceptible to data loss. Protecting this data has become critical, especially considering that approximately 70% of universities with these systems have reported incidents of information loss. This project aimed to develop a general medicine module at the Technical University of Cotopaxi, using .NET tools to improve care and guarantee the availability and security of data through the systematization of key processes such as medical history, daily reports, and family planning. To achieve this, a descriptive investigation was conducted, which allowed the identification of the department’s needs. Additionally, an incremental iterative model was implemented, allowing the module to be developed in phases, continuously improving it based on feedback. The results showed efficient systematization of patient records, improving both the management and access to medical information, increasing data security, and optimizing attention and report generation times