TCC Sistemas de Informação

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https://repositorio.ifal.edu.br/handle/123456789/46

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Navegando TCC Sistemas de Informação por Orientador "Souza, Tarsis Marinho de"

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    Conecta: uma plataforma web para transformar desafios em oportunidades na colaboração entre empresas e meio acadêmico
    (Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-12-13) Cardoso, Thiago Gazaroli; Souza, Tarsis Marinho de; http://lattes.cnpq.br/9808563385937929; Souza, Tarsis Marinho de; http://lattes.cnpq.br/9808563385937929; Tenório, Fernando Antonio Guimarães; http://lattes.cnpq.br/0678507623542382; Escarpini, Maria Cristina Tenório Cavalcante; http://lattes.cnpq.br/7517488817484840
    As society advances, new challenges, increasingly complex, are highlighted, and thus, a closer interaction between Scientific and Technological Innovation Institutions (ICT) and the productive sector becomes more necessary. However, despite the various benefits arising from the collaboration between Scientific and Technological Innovation Institutions (ICT) and the productive sector, there are still several obstacles to overcome for the effective tightening of these relationships. These challenges not only hinder the effectiveness of collaboration but also constitute significant barriers that compromise the quality of processes and projects developed jointly. In this sense, Leonardo et al. (2020) discuss the need for an integrating means (a platform) that can optimize contact and interactions between ICTs and corporations, acting as a facilitating communication resource and, consequently, ensuring that all the benefits of R&D reach ICTs, companies, and society. Thus, this paper proposes a digital platform: Conecta. The proposed solution consists of a dynamic digital showcase that aims to connect the key players in an innovation ecosystem: ICTs, the productive sector, and the government. It will be a space that not only seeks to strengthen relations between companies and Scientific and Technological Institutions (ICTs) but also reduces the time for the allocation of qualified labor in the productive sector.
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    Desenvolvimento de uma solução para análise e visualização de dados de notificações compulsórias de violência doméstica
    (Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-12-13) Alves, Bianca Nicoly Amorim de Castro; Souza, Tarsis Marinho de; http://lattes.cnpq.br/9808563385937929; Silva, Cledja Karina Rolim da; http://lattes.cnpq.br/1770216488772332; Escarpini, Maria Cristina Tenório Cavalcante; http://lattes.cnpq.br/7517488817484840
    The healthcare sector faces significant challenges in managing vast amounts of data, often inadequately processed. This work aims to assist in the analysis and treatment of data by proposing a solution for the analysis and visualization of compulsory notifications of domestic violence. The goal is to provide decision-making support to authorities in addressing such incidents. The main objective is to conduct a data analysis and develop a data visualization solution to aid the Municipal Health Department of Arapiraca and the Strategic Information Center for Health Surveillance (CIEVS) in decision-making and the creation of action plans and public policies to combat this incidence. After data processing and requirements gathering, an application based on storytelling concepts was developed. As a result, graphical representations and a geographic map were implemented, contributing to data monitoring and the formulation of public policies.
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    Toth: geração de código baseada na arquitetura de portas e adaptadores em Golang
    (Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-12-13) Santos, Gabriel Soares da Silva; Souza, Tarsis Marinho de; http://lattes.cnpq.br/9808563385937929; Silva, Bruno Rafael Ferreira Souza Barbosa da; http://lattes.cnpq.br/0776873072068195; Soares, Elvys Alves; http://lattes.cnpq.br/6415531537733982
    In a scenario of relentless pursuit of technological solutions, speed in software development is crucial. However, an accelerated process without proper attention and with planning issues can compromise software maintenance and quality, leading to problems such as the introduction of accidental complexity, delays in deliveries, and the long-term obsolescence of the product. Model-based code generation emerges as a mitigating factor for these challenges, accelerating the development process, maintaining standardized code, reducing the introduction of human errors, and promoting the adoption of good software practices. This work focuses on the research and development of a tool for code generation in the Go language, integrating it into the architecture of ports and adapters, representing a significant contribution to research in code generation. The proposal aims to provide a practical and effective solution while also striving to optimize the efficiency and scalability of the process, further enhancing the applicability of the developed tool.