https://repositorio.ifgoiano.edu.br/handle/prefix/1642 2026-03-20T11:50:34Z 2026-03-20T11:50:34Z Sousa, Sebastião Junior Luz https://repositorio.ifgoiano.edu.br/handle/prefix/6150 2026-02-05T17:46:55Z 2025-12-11T00:00:00Z

Título: OTIMIZAÇÃO DA ALOCAÇÃO DE POSTOS DE RESFRIAMENTO DE LEITE POR MEIO DE HEURÍSTICA BASEADA EM MCKP E VALIDAÇÃO MILP Autor(es): Sousa, Sebastião Junior Luz Primeiro Orientador: Gomide, Renato de Sousa Abstract: This work presents a methodology for optimizing the allocation of milk cooling stations in the state of Goiás, considering logistical, operational, and geographical aspects. Productive dispersion, associated with inadequate station locations and the length of collection routes, increases logistical costs, reduces operational efficiency, and can compromise product quality. Given this scenario, the use of mathematical models capable of supporting strategic decisions related to the installation and sizing of these structures becomes essential. The objective of this study is to develop a computational model, implemented in Python, capable of defining the optimal location of cooling stations, minimizing the total logistical cost, considering transportation costs, installed capacities, and fixed implementation costs. For this, a hybrid approach based on the Multiple-Choice Knapsack Problem (MCKP) heuristic computational method, validated by a Mixed-Integer Linear Programming (MILP) model, is used. The methodology incorporates routing techniques using the Clarke-Wright and 2-opt methods, as well as the use of real distances obtained through the Open Source Routing Machine (OSRM). The results demonstrate that the heuristic model performed near optimally, with a difference of less than 2% compared to MILP, but with significantly less computational time. Furthermore, the method proved to be scalable, maintaining efficiency even in scenarios with a high number of producers. Thus, the proposed approach is an effective tool to support strategic decisions, optimize logistics costs, and contribute to the planning of the milk production chain. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso

2025-12-11T00:00:00Z Iabagata, Tatiana Yukari Sekiya https://repositorio.ifgoiano.edu.br/handle/prefix/6129 2026-02-02T13:00:03Z 2025-12-10T00:00:00Z

Título: APLICAÇÃO DE FERRAMENTAS BASEADAS EM INTELIGÊNCIA ARTIFICIAL PARA MINIMIZAÇÃO DE DESAFIOS E OTIMIZAÇÃO DE PROCESSOS NA ENGENHARIA DE SOFTWARE Autor(es): Iabagata, Tatiana Yukari Sekiya Primeiro Orientador: Ribeiro, Jaqueline Alves Abstract: Software Engineering faces significant challenges in the initial development phases, especially in requirements definition and prototyping, which frequently results in rework, inconsistencies, and increased costs. Given this scenario, this work aims to analyze the difficulties present in these stages and propose solutions based on Artificial Intelligence tools, highlighting NotebookLM and Gemini Canvas. The research adopted an applied approach, beginning with a theoretical investigation into requirements, prototyping, and AI, followed by an analysis of the tools' functionalities, and finally, the simulation of a fictitious scenario of a Condominium Management System. Structured files were created to serve as a knowledge base, enabling the application of prompt engineering techniques for the validation, organization, and generation of requirements, as well as the creation of functional prototypes. The results demonstrated that NotebookLM contributes to reducing ambiguities and streamlining requirements analysis, while Gemini Canvas facilitates system prototyping. The study concludes that the use of these tools can minimize common failures in the initial stages of software development, making the process more efficient, precise, and aligned with the project's needs. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso

2025-12-10T00:00:00Z Alves Junior, Luiz Carlos Batista https://repositorio.ifgoiano.edu.br/handle/prefix/6083 2026-01-07T12:57:47Z 2025-12-09T00:00:00Z

Título: DESENVOLVIMENTO DE UM APLICATIVO DE VOTAÇÃO ONLINE COM IMPLEMENTAÇÃO ADAPTADA DO MÉTODO DE BORDA Autor(es): Alves Junior, Luiz Carlos Batista Primeiro Orientador: Furriel, Geovanne Pereira Primeiro Membro da Banca: Ribeiro, Jaqueline Alves Segundo Membro da Banca: Gomide, Renato de Sousa Abstract: This work presents the development of an online voting application implementing an adaptation of the Borda Count method, providing a modern, secure, and representative alternative to traditional electronic voting models. The project was designed for Android mobile devices, integrating authentication, storage, and real-time vote tallying through the Firebase platform. The system features a robust architecture, with a Kotlin-based backend and an XML-developed interface, ensuring stable performance and intuitive usability. Each voter could rank their preferences, assigning decreasing points according to the adapted Borda method—three points for the first choice, two for the second, and one for the third. This approach enhanced collective representativeness, reduced distortions common in majority voting, and promoted greater fairness in decision-making. The methodology involved iterative software development, specification of functional and non-functional requirements, and experimental validation with twenty-two participants. Results demonstrated operational stability, data integrity, and reliable vote counting, with an average response time below three seconds per interaction. The system also stood out for portability and adaptability to various contexts, including educational, corporate, and community settings, enabling secure voting without reliance on complex infrastructure. As a contribution, the project not only implemented a social choice method still underexplored in digital solutions but also established a solid technical foundation for future hybrid and embedded voting systems. The proposed architecture could evolve into an intelligent physical ballot box, integrating the application with microcontrollers, authentication sensors, and emerging blockchain technologies, further enhancing security, auditability, and trustworthiness in digital electoral processes. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso

2025-12-09T00:00:00Z Taquari, Bruno Santos https://repositorio.ifgoiano.edu.br/handle/prefix/6080 2026-01-07T12:55:53Z 2025-12-10T00:00:00Z

Título: SITE SURVEY PARA REDE WI-FI 802.11AC Autor(es): Taquari, Bruno Santos Primeiro Orientador: Furriel, Geovanne Pereira Primeiro Membro da Banca: Furriel, Geovanne Pereira Segundo Membro da Banca: Gomide, Rodrigo de Sousa Terceiro Membro da Banca: Couto, Luiz Alberto do Abstract: The present work develops a low-cost computational tool for analyzing Wi-Fi coverage in indoor environments based on the IEEE 802.11ac standard. The solution, implemented in Python and executed on a Raspberry Pi 5, enables importing architectural floor plans, defining scale, collecting signal strength measurements (RSSI), and generating heat maps through spatial interpolation. The methodology integrates concepts of wave propagation, path-loss models, and graphical visualization techniques, providing a clear representation of signal distribution. A case study conducted in a residential environment validated the system, demonstrating coherence between measured values and expected 5 GHz propagation behavior. The results show that the tool is functional, accessible, and effective as an alternative to commercial site-survey solutions, supporting WLAN planning and diagnostics. Future improvements include enhanced interpolation, multi-AP support, and scalability for larger environments. Editor: Instituto Federal Goiano Tipo: Trabalho de Conclusão de Curso

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