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Item Estratégias e ferramentas para data analytics no marketing digital: uma revisão sistemática da literatura(2025-06-27) Silva, Emerson Lino da; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Araújo, Fabrisia Ferreira de; http://lattes.cnpq.br/9852315723070987; Gomes, Anderson Rodrigues; http://lattes.cnpq.br/2811716093058287The growing volume of data generated by user interactions, advertising platforms, and transactional systems reinforces the need for the effective use of data analytics to extract insights and support strategic decision-making in digital marketing. This article presents a systematic literature review (SLR) conducted based on PRISMA guidelines, aiming to investigate the main strategies and tools used for data integration, centralization, organization, and analysis in this context. A search in the IEEE Xplore and Google Scholar databases resulted in the identification of 90 articles. After applying inclusion and exclusion criteria, 4 articles were selected for analysis. The results highlight tools and strategies related to ETL, data storage, and reporting, as well as industry best practices and emerging developments. It is concluded that the use of data analytics tools and strategies contributes to increased productivity and accuracy of information, positively impacting insight generation and the decision-making process in the context of digital marketing.Item Prospecção e detecção de smells em casos de teste escritos no padrão BDD com a linguagem Gherkin(2025) Santos, Felipe da Silva; Soares, Elvys Alves; Souza, Társis Marinho de; Souza, Társis Marinho de; Soares, Elvys Alves; Oliveira, Leonardo Fernandes Mendonça de; Medeiros, Flavio MotaItem Você na Câmara: A inteligência artificial como ferramenta de auxílio à população brasileira no entendimento das propostas legislativas que tramitam pela Câmara dos Deputados(2025) Santos, Gabriel de Jesus; Souza, Társis Marinho de; Souza, Társis Marinho de; Silva, Cledja Karina Rolim da; Tenório, Fernando Antônio GuimarãesItem Uma solução para atualização em OTA em aplicações embarcadas utilizando o ESP8266(2025) Chagas, José Mateus Rian das; Pacheco, Luis Henrique Leme; Souza, Társis Marinho de; Souza, Társis Marinho de; Pacheco, Luis Henrique Leme; Tenório, Fernando Antônio; Silva, Leonardo Soares eItem Uma análise dos desafios organizacionais e técnicos na adequação da operação de um hospital particular à lei geral de proteção de dados(2025-06-03) Moura , Ícaro Rodolpho de Farias; Bezerra, Tarcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152The Brazilian General Data Protection Law (LGPD) presents significant challenges for healthcare institutions, especially regarding the handling of patients' sensitive data. This study investigates the compliance process of a large private hospital with the LGPD, focusing on information systems and information security practices to identify the main technical and organizational challenges encountered. The research adopts the Goal-Question-Metric (GQM) model, which enabled a structured analysis based on defined objectives, investigative questions, and measurable metrics. The results reveal gaps in areas such as security infrastructure, access management, contract updates, and staff training, indicating weaknesses in data governance and the implementation of internal controls. Based on the evidence gathered through document analysis and validation with institutional professionals, this study proposes recommendations to enhance regulatory compliance and strengthen the protection of personal data in hospital environments.Item Random food: sistema de recomendação de restaurantes(2025-05-07) Euzébio, Emylle Chrystinne da Silva; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389; Medeiros, Flávio Mota; http://lattes.cnpq.br/1874496667181567; Kamei; Soares , Elvys Alves; http://lattes.cnpq.br/6415531537733982; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761This final course work presents the development of Random Food, a restaurant recommendation system that seeks to facilitate the choice of meals through controlled randomness. The proposal arose from the observation of a common pain point among users who are indecisive about where to eat, especially given the wide range of establishments and delivery apps. The system was built using React on the frontend, Node.js on the backend, Firebase/Firestore as a database, and solutions such as Vercel, Render and Railway for free cloud hosting. The project adopts versioning practices with Git and GitHub and was documented with a focus on functional and non-functional requirements and database structure. In addition, tests were performed to ensure the stability of the application. Random Food already has an official software registration with INPI, and this work seeks not only to describe its technical construction, but also to present its relevance as a creative, functional and low-cost solution.Item Reduzindo esforços manuais na análise de equivalência dos testes de mutação(2024-10-30) Amorim, Samuel Veloso de; Oliveira, Leonardo Fernandes Mendonça de; http://lattes.cnpq.br/4226060363182113; Oliveira; Oliveira, Augusto César Melo de; http://lattes.cnpq.br/0015527839272634; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389Mutation testing has attracted significant interest due to its reputation as a powerful criterion for test suite adequacy and its ability to guide test case generation. However, the presence of equivalent mutants hinders its use in industry. The Equivalent Mutant Problem has been proven undecidable, but manually detecting equivalent mutants is an error-prone and time- consuming task. Therefore, even partial solutions can help reduce this cost. To minimize this problem, we introduce an approach to suggest equivalent mutants. Our approach is based on automated behavioral tests, which consist of test cases based on the original program's behavior. We perform static analysis to automatically generate tests for the entities impacted by the mutation. For each analyzed mutant, our approach can suggest whether the mutant is equivalent or non-equivalent. In the case of non-equivalent mutants, our approach provides a test case capable of killing the mutant. For the suggested equivalent mutants, we also provide a ranking of mutants with a higher or lower likelihood of being truly equivalent. We tested our approach on a set of 1,542 mutants manually classified in previous works as either equivalent or non-equivalent. We found that the approach effectively suggests equivalent mutants, achieving over 93% accuracy in five of the eight studied subjects. Compared to the manual analysis of surviving mutants, our approach takes one-third of the time to suggest equivalent mutants and is 25 times faster in identifying non-equivalent mutants. We also conducted a study to discern the specific characteristics of mutants that our approach mistakenly classified as equivalent, generating false positives. Furthermore, our investigation delves into a comprehensive analysis of mutation operators, providing essential insights for professionals seeking to improve equivalent mutant detection accuracy and effectively mitigate the associated costs.Item Uso de business inteligence para mensuração de acidentes rodoviários através da base de dados da Polícia Rodoviária Federal(2024-05-08) Medeiros, Mayson Ferreira 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/1874496667181567Over the years, traffic accidents have been one of the main causes of death worldwide, according to the official UN report - Global Status Report On Road Safety (2018). It is estimated that 1.35 million people die every year as a result of traffic accidents, being the main cause of death for young adults. Technological advancement, combined with the capacity to generate a large volume of data, allows an analysis of such phenomena and their causes. Thus, the present work brings to light an approach to the main causes of Traffic Accidents - AT, on Federal Highways throughout Brazil, using official data from the Federal Highway Police Department - DPRF, the open database - DATATRAN. The present study was structured based on a Systematic Literature Review - RSL and the use of a set of tools for data processing, together with Business Intelligence - BI techniques, in order to extract relevant information, assisting in decision-making. users of federal highways. Conclusions were obtained through a series of analyses, comparing data relating to the pandemic period with official data from 2019, the pre-pandemic year, generating interactive graphs.Item SEJA - Sistema de Estágios e Jovem Aprendiz(2024-10-29) Oliveira , Lucas Gabriel Peixoto de; Oliveira, Leonardo Fernandes Mendonça de; http://lattes.cnpq.br/4226060363182113; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152This final course project describes the development of the Sistema de Estágios e Jovem Aprendiz (SEJA), a web platform designed for managing internships and the jovem aprendiz program within educational institutions. The system aims to automate and centralize the administration of activities such as hiring, contract tracking, termination, and final evaluations of students, thereby optimizing efficiency and reducing operational errors. Built using Next.js on the frontend and Java Spring Boot on the backend, the software has been officially registered with the National Institute of Industrial Property (INPI). Currently in use at the Federal Institute of Alagoas, the system has significantly improved control and transparency in processes, managing over 1,200 concurrent records of internships and professional practice. SEJA shows potential for expansion to other institutions, offering a streamlined solution for automated management of internships and jovem aprendiz programs.Item 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/1874496667181567The 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.Item 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/7517488817484840As 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.Item Trabalhando o pensamento computacional em alunos com deficiência visual(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-12-15) Silva, Miguel Márcio Magalhães; Silva, Cledja Karina Rolim da; http://lattes.cnpq.br/1770216488772332; Silva, Cledja Karina Rolim da; http://lattes.cnpq.br/1770216488772332; Barbosa, Anderson Felinto; http://lattes.cnpq.br/5590648222014479; Ferreira, Diogo Sarmento; http://lattes.cnpq.br/6673430404078107This project focuses on applying computational thinking and programming logic to individuals with visual impairments, aiming to develop an accessible learning application. Using pre-developed 3D physical blocks and QR codes, the application provides an accessible and interactive interface, allowing users to construct algorithms tangibly and step-by-step. All of this aligns with web accessibility guidelines, providing an adapted experience for mobile devices and screen readers. Following implementation, a detailed evaluation was conducted to assess the tool's effectiveness. This work highlights the results of this assessment, along with the lessons learned during development. The emphasis lies in the practical applicability of the tool in teaching programming logic to individuals with visual impairments, with the goal of providing an accessible and effective learning experience. The results demonstrated that the tool brings significant benefits to programming learning for individuals with visual impairments, not only ensuring their inclusion but also enhancing the overall quality of education.Item Marvin: um chatbot para auxílio à comunidade do IFAL(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2022-12-22) Leandro, Jonas Sousa; Silva, Cledja Karina Rolim da; Menezes, Douglas; Souza, Tarsis Marinho deThe huge amount of data aggravates the search for information, because most of the data are texts, unstructured and dispersed in several sources. In this context, this work aims the use and the development of a chatbot to improve the user experience related to IFAL campus Arapiraca. This study describes a peer-review of similar work, the development of an application, and the user testing. To the development of the chatbot, it was called Marvin, it carried out the reading of pedagogical projects, normative instructions, and internet pages, besides the study of the frameworks related to chatbots. The user testing had the goal to evaluate the using and acceptance of the chatbot. And in agreement of the data results, Marvin has had a good acceptance, being an interesting solution to the information access.Item Quantificação do sinal do tremor parkinsoniano em exames manuscritos em espiral utilizando Machine Learning(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-10-27) Correia, Igor Matheus Barros; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495; Costa, Alex Emanuel Barros; http://lattes.cnpq.br/2231272728491909Parkinson’s disease (PD) is a progressive neurological disease that develops gradually and causes motor symptoms, such as tremors, slow movement (bradykinesia) and postural imbalance. PD affects millions of people worldwide, especially the elderly population. Data from the World Health Organization (WHO) shows that approximately 1% of the world’s population over the age of 65 has the disease. Diagnosing PD is difficult and misdiagnosis is common, especially in the early stages. Micrography is a technique commonly used in the diagnosis of Parkinson’s disease and essentially consists of performing handwritten examinations. In this context, Machine Learning (ML) emerges as a powerful tool to apply data classification techniques that can identify patterns and assist in the detection of PD. This study uses two Machine Learning models, namely Support Vector Machine (SVM) and Random Forest Classifier (RFC), with the aim of classifying handwritten exams and contributing to improving the accuracy and effectiveness in diagnosing PD. The results show that both models achieved promising performance, with high accuracy rates, reaching 86% for the RFC and 82% for the SVM. These results suggest that the application of Machine Learning to classify handwritten exams can be a valuable tool in diagnosing PD.Item Desenvolvimento de sistema IoT para monitorar vagas em estacionamentos(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-12-15) Leandro, José Henrique Sousa; Pereira, Renata Imaculada Soares; http://lattes.cnpq.br/2890029245911291; Tenório, Fernando Antonio Guimarães; http://lattes.cnpq.br/0678507623542382; Jucá, Sandro César Silveira; http://lattes.cnpq.br/0543232182796499The objective of this work is to bring information about a digital solution to organize a closed parking lot, with the aim of developing an application that facilitates the process of parking a vehicle, using the Internet of Things (IoT), among other technological tools. The proposed IoT system allows the customer to monitor the availability of parking spaces in a parking lot, bringing convenience when searching for them, promoting security for the user, as he can see whether the vehicle is still parked or not, and credibility for the application contractor, for offering all these services. Using knowledge in programming language to develop the system and the Application Programming Interface (API), the embedded system communicates with a database, translating them so that the main objective of the system is achieved, thus, each piece of information passed through these technologies must be treated with care, as it is the system's responsibility to pass on accurate information to the user. Finally, the IoT system based on ESP32 and which monitors parking spaces using ultrasonic sensors, displays, through an application, whether parking spaces are available or not and their location.Item 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/7517488817484840The 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.Item 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/6415531537733982In 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.Item Uma revisão sistemática sobre tecnologias assistivas voltadas para auxiliar a locomoção de deficientes visuais em ambiente externo(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2019-12-12) Lima Neto, Ademar Ferreira; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Araújo, Fabrisia Ferreira de; http://lattes.cnpq.br/9852315723070987; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152Vision is the meaning most used by humans, as it is responsible for recognizing the world. The absence of vision entails several limitations to the human being, among them the difficulty of locomotion, especially in an external environment, which is full of unpredictable screens. Some technologies aimed at this audience do not have detection capabilities and some of them have high prices, making access difficult. This research presents a Systematic Literature Review (RSL) on Assistive Technologies (AT), aimed at locomotion of visually impaired people, seeking to identify and compare existing technologies that facilitate their mobility in everyday life. Assistive technologies that use prototyping plates to provide improvements in mobility and adaptability issues of the disabled person to their environment were selected, consisting in the detection of obstacles, comfort and independence, as well as viability, durability and accessibility.Item Donabox: proposta de uma plataforma SaaS de capacitação de recursos e engajamento de doadores para o terceiro setor(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2022-07-01) Feitosa Júnior, Anderson Morais; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Souza Júnior, Marcilio Ferreira de; http://lattes.cnpq.br/2702843581642246; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152Donor engagement is important for the sustainability of small and medium-sized third sector organizations, both financially and in attracting other donors. Also, due to the COVID-19 pandemic scenario, online fundraising platforms ended up being more widespread. The objective of this work is to propose a fundraising and donor engagement management platform for third sector organizations. The methodological procedure of the research involved a systematic literature review, a documentary research, a survey with donors, interviews with third sector organizations, the development of the platform itself and, finally, the validation. As a result of the systematic literature review, it was possible to collect the main strategies used in the donor engagement process: campaigns and post-donation thank you messages. The documentary research revealed the three main online fundraising tools, and it was possible to observe that not all of them had the requirements to engage donors. In the survey with the donors, the need for automated collections through credit card was discovered, in addition to the perceived reliability in the organization. In the interview with the organizations, the following needs were identified: recurring donations, donor portal, flexible billing model, intuitive interface and dashboard for donations. After these steps, a beta version of the platform was developed and its respective validation with one of the organizations participating in the interview. Users were satisfied and highlighted the intuitive interface, the platform’s billing model, the possibility for donors to manage their own donations, in addition to donor engagement through personalized emails and thank you messages.Item O impacto das redes sociais na vida de adolescentes e jovens(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2019-01-09) Souza, Karlla Danielly de; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Araújo, Fabrisia Ferreira de; http://lattes.cnpq.br/9852315723070987; Cruz, Wladia Bessa da; http://lattes.cnpq.br/9112099478105369Due to technological advances, the number of people with Internet access has increased exponentially. This rise of technology has assisted in the areas of health, education, security, among others. A resource that can be beneficial in so many areas, however, has caused dependence and affected social relationships, and can have consequences for the mental health of individuals. The present study aimed to examine the impacts of the use of digital technologies on the mental health of adolescents and young people. At the beginning, a systematic review of the literature (SRL) was carried out to provide the theoretical basis for the later stages of the research. This research is exploratory, presents a mixed approach, using interviews and surveys3 to collect data. The research consisted of two samples, the first one composed of 05 psychologists and the second one composed by 566 adolescents and young people, with ages between 12 and 21 years, students of schools of the public school system. The results obtained showed that there are relations between the technological dependence and the psychological health of adolescents and young people. It was also possible to note that virtual social networks can accentuate social problems and generate great impacts on the life of anyone, especially the young, among them: anxiety, depression and dependence. The work resulted in a prototype mobile application, which can be used to measure the levels of technological dependency of adolescents or young people.