TCC Sistemas de Informação

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

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    Business intelligence aplicado à análise dos empregos em TI no Brasil (2015 2024)
    (2025-09-30) Sena, Saulo Roberto de; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Cruz, Jailton Cardoso da; http://lattes.cnpq.br/9366016044068759; Medeiros, Flávio Mota; http://lattes.cnpq.br/1874496667181567
    Technology is advancing rapidly, driving profound changes in society. To support these transformations, technology professionals stand out. This study examines the IT job market in Brazil from 2015 to 2024 by creating four dashboards on the distribution of IT jobs by region, states, and municipalities, the profile of employees by gender and age group, and analyzing the allocation of jobs by IT positions and salaries in Brazil. For this, a BI creation methodology was used, leveraging open data from the Ministry of Labor and Employment (MTE).The study addresses the following research questions: Question 1 – Which regions of the country concentrate formal employment, and how is this distribution structured? Question 2 – How is the distribution of formal employment by gender? Question 3 – Which IT professions have grown the most in recent years in Brazil, and what is the profile of the workers in these positions, considering aspects such as salary, average tenure, and job turnover?
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    Desenvolvimento do studyboat: um chatbot interativo para apoio em avaliações educacionais com foco em questões do ENEM
    (2024-07-12) Lucas Duarte Soares Barbosa; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Soares , Elvys Alves; http://lattes.cnpq.br/6415531537733982; Medeiros, Flávio Mota; http://lattes.cnpq.br/1874496667181567
    The present Graduation Project (TCC) focuses on the development and implementation of StudyBot, an interactive chatbot designed to provide personalized support to students during their preparation for educational assessments. The application was developed using the main features of the .NET framework and the C# (CSharp) language, and is available through the Telegram messaging tool. The persistent issue of inequality in access to quality education highlights the growing need for tools that can offer personalized and accessible educational support. This project proposes StudyBot as a solution to support students, providing an accessible and efficient means of assessment preparation using modern technologies and widely used platforms. StudyBot was developed using the .NET framework and the C# programming language. Telegram was chosen as the initial platform due to its popularity and ease of integration with chatbots. Additionally, future plans include the incorporation of artificial intelligence into StudyBot and expansion to other messaging platforms, such as WhatsApp. Initial results demonstrate that StudyBot can democratize access to quality education, broadening its reach and promoting personalized learning. The study contributes to the advancement of knowledge in the field of educational technologies, offering an innovative and effective alternative to support students in their academic journey. Future perspectives include the integration of artificial intelligence and expansion to other messaging platforms, aiming to reach an even wider and more diverse audience.
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    Especificação técnica de ferramenta que auxilia na análise dos acidentes de trânsito nas rodovias federais brasileiras por meio de ETL
    (2024-04-22) Gomes Filho, José Carlos; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Cruz, Jailton Cardoso da; http://lattes.cnpq.br/9366016044068759; Medeiros, Flavio Mota; http://lattes.cnpq.br/1874496667181567
    This work presents a technical approach to address the issue of traffic accidents in Brazil, proposing the development of a command-line interface (CLI) in Python for the extraction, transformation, and loading (ETL) of data from federal highway accidents. Business Intelligence (BI) architecture is employed, with emphasis on the star schema in data modeling. The CLI allows for customized execution of the ETL process, including selection of data sets and temporal dimensions. Processed data can be used to feed an interactive Dashboard, built with PowerBI, offering detailed data visualizations and filters by road type and weather conditions. The article aims to provide a robust technical solution for the analysis and prevention of traffic accidents, with the potential to support more effective public policies in this field.