https://arandu.iffarroupilha.edu.br/handle/itemid/74 2026-04-16T06:18:14Z 2026-04-16T06:18:14Z https://arandu.iffarroupilha.edu.br/handle/itemid/863 2026-04-08T21:34:06Z 2025-01-01T00:00:00Z

Título: Um Estudo de Caso de Análise de Dados para Recuperação de Crédito Resumo em Língua Estrangeira: Credit recovery is essential for the financial sustainability of organizations dealing with credit default. This paper presents a case study of data analysis applied to historical records from a credit recovery office, aiming to identify temporal and regional patterns related to payment behavior. Data cleaning, transformation, and exploratory analysis were performed using Python for data processing and Power BI for interactive visualization. The results highlight specific months and regions with higher concentrations of recovered amounts, as well as variations in the number of payers and the average payment per person, providing analytical support for managerial decision-making. Tipo: Artigo Científico

2025-01-01T00:00:00Z https://arandu.iffarroupilha.edu.br/handle/itemid/862 2026-04-08T21:30:56Z 2025-01-01T00:00:00Z

Título: Desenvolvimento de um Modelo de Programação Matemática para uma Variação do Problema de Escalonamento de Equipes com Múltiplas Habilidades utilizando GLPK Resumo em Língua Estrangeira: The scheduling of volunteer teams with multiple skills is a recurrent problem in organizations with limited human resource availability. This paper proposes an Integer Linear Programming formulation for a variation of the Multi-Skill Scheduling Problem, motivated by a case study in a church context. The model considers availability constraints, minimum skill and characteristic requirements, and linked team constraints. Computational experiments were conducted using a set of artificial instances solved with the GLPK solver. The results show that the proposed model is able to generate feasible and high-quality schedules under different scenarios, highlighting the impact of volunteer availability and team constraints on problem feasibility. Tipo: Artigo Científico

2025-01-01T00:00:00Z https://arandu.iffarroupilha.edu.br/handle/itemid/861 2026-04-08T21:16:24Z 2025-01-01T00:00:00Z

Título: Sistema Web para Mentoria Online Resumo em Língua Estrangeira: The growing demand for exam preparation highlights the fragmentation of existing solutions, which often require multiple platforms for mentoring, essay correction, and payments. This work presents a web system that centralizes session scheduling and essay submission for mentor correction, both with automated PIX payment integration via Mercado Pago. Developed using Next.js, TypeScript, Prisma, and PostgreSQL, the platform provides secure and responsive interfaces. Results indicate stability, ease of use, and full integration of mentoring, essay correction, and payment workflows, expanding individualized support options for students. Tipo: Artigo Científico

2025-01-01T00:00:00Z https://arandu.iffarroupilha.edu.br/handle/itemid/860 2026-04-08T21:08:54Z 2025-01-01T00:00:00Z

Título: Aplicativo Móvel para Cálculos de Semeadura em Lavouras - AgroCálculo Resumo em Língua Estrangeira: This work presents the development of a mobile application designed to assist small and medium-sized farmers in performing essential seeding calculations, including Thousand Seed Weight, plant population, seeds per hectare, and planter calibration. The solution aims to reduce errors from manual calculations and provide greater precision and accessibility in agricultural management. Developed in Kotlin with local SQLite storage, the app also enables consulting previous calculations. Based on the results obtained, the study highlights the importance of accessible digital tools for small farmers, supporting better control of seeding operations and strengthening autonomy in the production process. Tipo: Artigo Científico

2025-01-01T00:00:00Z