TCC Sistemas de Informação

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Análise da evasão e permanência em cursos superiores de Tecnologia de Informação no Brasil
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2026-06-26) Nunes, Iris Mayara Vieira; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Cruz, Jailton Cardoso da; http://lattes.cnpq.br/9366016044068759; Ferro, Márcio Robério da Costa; http://lattes.cnpq.br/2480382178623363
This study analyzes patterns of dropout and persistence in Information Technology undergraduate programs in Brazilian higher education between 2014 and 2024, considering temporal, regional, and sociodemographic perspectives. The research is characterized as quantitative, applied, and descriptive, with a longitudinal approach based on official secondary data from the Higher Education Census provided by the National Institute for Educational Studies and Research Anísio Teixeira (Inep). The analysis was conducted through the organization and exploration of data using Business Intelligence techniques and dimensional modeling, including the development of an analytical dashboard that enabled the visualization and interpretation of indicators related to enrollment, dropout, and program completion. The results reveal a critical scenario, with a dropout rate exceeding 60% at the national level, indicating that the expansion of enrollments in Information Technology programs has not been accompanied by a proportional increase in the effective training of professionals in this field. As a contribution, this study highlights the potential of open educational data combined with analytical tools to support the understanding of educational phenomena and to assist evidence-based decision-making in higher education.
Análise de movimentos motores finos dos dedos utilizando visão computacional: um estudo de caso do Finger Tapping Test (FTT) na doença de Parkinson
(2025-11-26) Campos, Herbert Douglas Silva da Silva; Nascimento, Arlyson Alves do; http://lattes.cnpq.br/9395417554768580; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Passos, Frederico Salgueiro; Calado, Ivo Augusto; http://lattes.cnpq.br/5748220882915553
Parkinson’s disease (PD) is characterized as a neurodegenerative and progressive disorder that affects a significant portion of the elderly population worldwide. The most common symptoms in PD include cognitive problems, which predominantly begin to appear in more advanced stages, unlike the motor symptoms that manifest at the onset of the disease. The Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is one of the assessments that aid in diagnosing and monitoring the levels of Parkinson’s disease in patients. Within the MDS-UPDRS III, which assesses the motor aspects of patients, there is the Finger Tapping Test (FTT), used to assess bradykinesia and rigidity of movement. FTT is typically administered by a healthcare professional who observes the patient performing the test. However, the use of computer vision can provide a more effective alternative by accurately capturing the movement’s characteristics. The aim of this study was to develop a computer vision system capable of acquiring data from fine finger movements during the FTT and subsequently classify Parkinson’s disease levels according to the MDS-UPDRS. For this study, a computer vision algorithm was created to record data resulting from the abduction and adduction of hand movements during the FTT, calculating the amplitude generated by these movements. A dataset comprising 532 videos of both Parkinson’s and non-Parkinson’s patients, classified into four levels according to the MDS-UPDRS, was used. Subsequently, biomechanical signal processing procedures were conducted. The results obtained indicate that the use of computer vision in assisting healthcare professionals is promising. Data collection from movements allows for the creation of a database that can be used in machine learning models to predict the patient’s disease level based on the MDS-UPDRS. Additionally, a binary classifier was developed to determine the level at which each patient falls, using a Support Vector Machine (SVM) along with the leave-one-out cross-validation technique. This resulted in an accuracy of 73.3% when using the entire available dataset and 76.6% when using only the right-hand FTT.
Análise do monitoramento dos sinais motores da doença de Parkinson: uma revisão sistemática
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-05-31) Lima, Mayara Rysia de Assis; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495; Passos, Frederico Salgueiro; http://lattes.cnpq.br/6590059682506348
Parkinson’s Disease (PD) is a chronic degenerative disease that causes a motor disorder affecting the individual’s routine tasks and destabilizing their quality of life. The most notable motor signs make up a tetrad: rigidity, bradykinesia, postural and gait changes, and resting tremor. Thus, the medical examination requires an assessment of motor movements, emphasizing the speed, amplitude and rhythm of each movement, in order to monitor the symptoms and improve the clinical diagnosis. In order to distinguish improvements or evolutions of PD, motor assessment methods become increasingly indispensable, and in the literature, systems or mechanisms for quantifying these symptoms are found, the most recurrent being for the signs of bradykinesia, aided by the most well-known skill test, the Finger-Tapping Test (FTT). However, none of them is yet able to prove a definitive diagnosis, therefore relying on the interpretation of a neurologist. This research presents a Systematic Literature Review (SLR) with academic artifacts produced, which demonstrate relevant data on motor movements and their quantification, using mostly the MDS UPDRS part III scale as a guide, in order to extract a set of requirements to be developed in a system for monitoring the progress of Parkinson’s motor signs, using the finger tapping test (FTT) as a technique. As a result, the RSL aimed to identify the most current techniques and approaches that quantify motor assessments, in addition to clarifying whether these methods demonstrate positive interference in the assessment process with the FTT technique.
Uma análise orientada a riscos da atuação das tecnologias de informação e comunicação (TICs) no contexto do ensino remoto durante a pandemia de COVID-19
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-06-06) Lima, José Landeivison da Silva; Bezerra, Tarcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Cruz, Wladia Bessa da; http://lattes.cnpq.br/9112099478105369
The COVID-19 pandemic has imposed a rapid shift to remote learning, driven by ICTs. While ICTs have brought benefits, such as flexibility in learning and access to educational resources, it has also exposed significant challenges, such as lack of access to technology and quality connectivity. This paper presents a risk-oriented analysis of the performance of information and communication technologies in the context of remote learning during the COVID-19 pandemic. This study is a qualitative research of exploratory nature, where information was collected from a literature search and the application of the risk management methodology. The results obtained indicate that it was possible to verify the eligible vulnerabilities and their causes, as well as the risks in the teaching-learning process and how the ICTs could contribute to mitigate these risks.
Avaliação de usabilidade do prontuário eletrônico do cidadão (PEC), do sistema de informação E-SUS AB em um município alagoano
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2022-07-06) Arruda, Antonio Aureliano Gomes; Oliveira, Augusto César Melo de; http://lattes.cnpq.br/0015527839272634; Kamei, Fernando Kanji; Araújo, Fabrísia Ferreira de; http://lattes.cnpq.br/9852315723070987
The Citizen's Electronic Health Record (PEC) is a tool made available by the Ministry of Health, through the e-SUS AB strategy, capable of optimizing the flow of care at Basic Health Units, as well as supporting the process of coordinating citizen care. carried out by the family strategy teams. The present study aimed to evaluate the degree of usability of the (PEC) of the e-Sus AB information system, based on Nielsen's heuristics by two specialists and with the System Usability Scale (SUS), from the perspective of professionals from family health teams. For that, it was necessary to analyze the usability of the (PEC), of the e-Sus AB information system, as well as to evaluate the degree of user satisfaction in the use of the (PEC), as well as to identify the main difficulties presented by the users when using the (PEC), in order to contribute to a better understanding of the usability assessment processes of health information systems, and finally, to propose a prototype of screens with improvements of the PEC system. This is a research of a basic nature, with a quantitative and qualitative approach and a cross sectional survey, using two objectives: Exploratory and Descriptive. The research had a universe of 12 (twelve) Family Health Units (USF), belonging to the municipality of São Luís do Quitunde, in the interior of the State of Alagoas. As a data collection instrument, the System Usability Scale (SUS) questionnaire and Nielsen's heuristics were used, used for the heuristic evaluation. As well as the proposal of a prototype of screens containing improvements. It was found that the (SUS) presented itself as a simple and efficient instrument for usability assessment. The evaluation through the SUS, found a good evaluation of the users of the system, with a score of 70%, classifying the system as good. In the heuristic evaluation, the violation of two heuristics was identified, among them the heuristic, control and user freedom and the heuristic help and documentation. It is concluded that through the two usability analyzes used, it was possible to understand the results that point to the perceptions of health professionals, in relation to the usability of the PEC system, as well as its adequacy to the heuristics proposed by Nielsen.
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?
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.
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/1760182180822152
Donor 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.
Eficiência do processo de folha de pagamento sob a perspectiva da transformação digital: um estudo de caso em uma secretaria de estado
(2025-07-08) Oliveira, Mário Andretti da Silva; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Bezerra, Tarcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Araújo, Fabrísia Ferreira de; http://lattes.cnpq.br/9852315723070987
Digital transformation has become a fundamental strategy to modernize public administration, especially in sectors that require a high degree of control and reliability. Payroll management, due to its legal, financial, and operational dimensions, is a critical process where errors and inefficiencies can have significant impacts. In this context, the digitalization and automation of procedures represent opportunities for public institutions seeking greater efficiency and transparency in personnel management. This study aims to analyze the efficiency of the payroll process in a state department through the lens of digital transformation, identifying impacts, challenges, and opportunities for optimization. The methodology was based on a qualitative case study, conducted through semi-structured interviews, employing the storytelling technique, with public servants directly involved in payroll processing. Data collection was complemented by document analysis and direct observation, enabling a comprehensive understanding of both technical and organizational aspects. Content analysis followed Bardin’s method, allowing systematic categorization and interpretation of qualitative data. The MAXQDA Analytics Pro software supported data organization, coding, and analysis, contributing to the traceability and analytical rigor of the research. The results indicate that the adoption of technological tools, such as integrated management systems, database queries, and specific automations, has improved information control and reduced inconsistencies. However, some manual steps still remain, highlighting the need to redesign workflows and expand the use of technology to ensure greater reliability and time savings. It is concluded that digital transformation represents a strategic path for modernizing the public sector, especially in the payroll context. The case analyzed demonstrates that, despite the progress achieved, there is room for significant improvement, provided that efforts are aligned with data-driven management, continuous staff training, and structural investments in information technology.
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.
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/2811716093058287
The 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.
Estudo do uso de plataformas digitais em eventos acadêmicos
(2025-07-08) Cavalcante, Arthur Henrique Quixabeira; Cruz, Jailton Cardoso da; https://lattes.cnpq.br/9366016044068759; Moraes Junior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Medeiros, Leonardo Melo de; https://lattes.cnpq.br/1080593968001453
Technological evolution requires academic events to adapt to new trends and tools, where digital platforms have the potential to increase the efficiency, visibility, and experience of academic events, making them more engaging and productive for participants. This research used a 16-question questionnaire with qualitative and quantitative methodology to collect responses from 44 participants, including students, faculty, and professionals from various fields, over a two-week period in May 2025. The objective was to understand the participants' profile, their experience with event platforms, their perceptions of technology in events, and their opinions on what could be improved and what they liked about events that used such platforms. The data were analyzed for discussion. The results revealed that most participants were adults aged 30-59, with a stronger presence of women, and that they have a moderate participation rate in academic events. Furthermore, most participants have already used digital platforms for events, especially Doity and Sympla, and value their ease of use, especially for online registration and certificate issuance. Technology in academic events offers benefits such as practicality, agility, and ease of communication, making them more accessible and efficient. Finally, the study found that most participants would recommend the use of digital platforms for events, demonstrating broad approval and confidence in their effectiveness. However, it suggests improvements such as increasing interaction among participants and making the interface user-friendly and interactive.
Fundamentação do Programa Triple-N com o método do estudo e da escrita imanente à vida
(2026-06-10) Silva Neto, Natalício Nunes da; Bezerra, Ciro de Oliveira; http://lattes.cnpq.br/8755460275894251; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Pinto, Charridy Max Fontes; http://lattes.cnpq.br/4139562888411167; Cruz , Jailton Cardoso da; http://lattes.cnpq.br/9366016044068759
Our research focuses on the study of Parkinson’s Disease (PD). But what is Parkinson’s Disease? It is a progressive neurological disorder that develops gradually and compromises the sensorimotor system. For example, it causes symptoms such as tremors, slowness of movement (bradykinesia), and postural imbalance. PD affects millions of people worldwide, across all age groups; however, the elderly population is the most affected. Data from the World Health Organization (WHO) show that approximately 1% of the global population over the age of 65 has the disease. The main reason is the progressive loss of dopamine, which, in confirmed cases of PD, is found to be far below normal levels. Interestingly, studies have shown that reading and writing stimulate the production of neurotransmitters that increase dopamine. Thus, among the various possibilities for preventing the disease, we highlight that studying and writing, when practiced regularly as a personal and social habit, may mitigate the effects of Parkinson’s Disease. Diagnosing PD with precision is challenging, especially in its early stages. Among the existing techniques, micrography is commonly employed. This method essentially consists of handwriting examinations. It is precisely in the refinement of such techniques that Machine Learning (ML) emerges as a powerful category within computer science, improving data classification methods that identify patterns and assist in PD detection. Our research employs three ML models: HOG (Histogram of Oriented Gradients) + Support Vector Machine (SVM), Convolutional Neural Networks (CNN), and Transfer Learning (MobileNetV2), with the aim of classifying handwriting samples and contributing to greater accuracy and efficiency in medical diagnosis of PD. The results of our study highlight the use of a supervised ML program (developed by us and named Triple-N, after the author), which achieved promising performance. Specifically, it reached accuracy rates of 80% for HOG + SVM, 96% for CNN, and 98% for Transfer Learning, when combined with Data Augmentation techniques. These findings suggest that the application of Machine Learning, particularly with Data Augmentation, in the classification of handwriting examinations, can be a valuable tool in PD diagnosis. Two key advantages stand out: [1] low cost and [2] rapid delivery of results, enabling the majority of patients to access diagnosis from the early stages of the disease.
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/9112099478105369
Due 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.
Implantação de Pontos de Acesso Remotos para integração do parque tecnológico entre as Promotorias de Justiça e a Procuradoria-Geral do Ministério Público Estadual de Alagoas
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-05-18) Tenorio, Gustavo Felipe Santos de Gusmão; Pais, Flávio Vasconcelos; http://lattes.cnpq.br/8076857429109314; Calado, Ivo Augusto Andrade Rocha; http://lattes.cnpq.br/5748220882915553; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495; Rocha, Cristofe; http://lattes.cnpq.br/0666510670986707
The main objective of this monograph is to demonstrate a successful case in implementing a network solution based on Virtual Private Networks (VPNs) and Remote Access Points (RAPs), which ensured access to the same resources and information available at the Attorney General's Office of the State Public Prosecutor's Office of Alagoas. To achieve this, the context and needs that motivated the implementation of the solution were presented, as well as the procedures used and their difficulties, in addition to the evaluation of the effectiveness of the solution. The results indicated that the solution was effective in meeting the institution's needs. Related works that were related to the results presented in this study were also discussed, showing the similarities and differences between the solutions implemented in each case. Finally, it is concluded that the implemented solution is feasible and can be replicated in other organizations.
Letramundo: um jogo sério para alfabetização de crianças com Transtorno do Espectro Autista (TEA) em ambiente escolar
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2025-07-03) Silva, Arthur Henrique Souza da; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389; Calado, Ivo Augusto Andrade Rocha; http://lattes.cnpq.br/5748220882915553
This work presents the development, implementation, and testing of a Serious Games (SG) web application for literacy aimed at children with Autism Spectrum Disorder (ASD) to assist special education and promote social inclusion in the educational environment. The innovative aspects of this study lie in the use of hyperfocus as a strategic tool to enhance student learning and engagement, the use of TEACCH principles, and the use of the phonics method as a literacy model. The tool combines playful elements, specific educational goals, and reading teaching methods based on the latest studies on verbal language, especially in the areas of psycholinguistics and neuroscience. The prototype of this application was tested by special education professionals, and the test results indicated the need for a redistribution of levels and content. The modifications were made during the implementation phase, and the platform was tested with special education professionals from the early years of elementary school and with children with ASD aged 6 to 12, in the first grades of elementary school. The results showed high student interest in the platform, as well as strong adherence to the most current teaching methods for children with ASD.
NFEX: software como serviço para gerenciamento de notas fiscais eletrônicas de produto em micro e pequenas empresas utilizando a tecnologia PWA
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2019-03-12) Ferreira, Bruno Eris Nascimento; Bezerra, Tárcio Rodrigues; 5285201763618981; http://lattes.cnpq.br/5285201763618981; Bezerra, Tárcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Oliveira, Luiz Frederico Lopes de; http://lattes.cnpq.br/5552068915087618; Souza Júnior, Marcílio Ferreira de; 5552068915087618; Bezerra, Tárcio Rodrigues
The electronic invoice project (NF-e), was originated in 2005, with the objective of replacing the manual invoice template. The NF-e project, aims to computerize its processes, rendering obsolete the manual procedure previously adopted and gradually initiating the mandatory use of NF-e throughout the country. This new model of invoices, made it difficult for companies to adapt their fiscal, administrative and financial management to it. At the beginning of the current millennium, the term software-as-a-service (SaaS) begins to be widespread. SaaS refers to services as pieces of software resident in the cloud, usually available over the Internet by browsers. Its users interact directly with the software in the cloud, just as if it were installed locally. Examples of known SaaS applications are: Gmail, Dropbox and Spotify. The model has benefits, such as cost reduction in the acquisition and composition of the infrastructure, greater flexibility and greater ease of access. The SaaS model, represents a huge chunk in the use of cloud computing in organizations worldwide, being so a motivator for the adherence of new companies and organizations. In order to address the main difficulties in NF-e management, combining the main benefits of the SaaS model, the present work proposes a progressive web application (PWA), that it is a set of ideas to enhance the user experience, that facilitates the management of NF-e, bringing readability and availability of the information contained in them. For this purpose, there were made a systematic review of the literature, field research to validate functionalities for the platform, development of a minimum viable product (MVP) carried out according to what was collected in the research and, finally, the validation of the platform with companies in person that justified the purpose of this. As a result, the platform proposes modern web technology coupled with important functionalities in NF-e management, becoming an alternative to the market in the future
Panorama da utilização de chatbots de WhastApp voltados para a área da educação: uma revisão sistemática de literatura
(2025-11-02) Pereira, Bruno Artur Torres Lopes; Soares, Elvys Alves; http://lattes.cnpq.br/6415531537733982; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389
The preparation period for crucial higher education entrance exams, such as the National High School Exam (ENEM), represents a significant challenge in the students' educational journey, while WhatsApp, widely used in the country, stands out as a popular tool for communication, including with bots. As an alternative for ENEM preparation, many students have turned to WhatsApp as an educational platform. The aim of this research is to understand how the literature reports the use of chatbots on WhatsApp for education through a Systematic Literature Review (SLR). Initially, 552 studies were identified, of which only 8 were considered relevant after applying inclusion and exclusion criteria. The results reveal that, despite few initiatives, there is promising potential in integrating chatbots on WhatsApp for educational purposes. The SLR suggests that this technology can be a valuable tool in democratizing access to quality education, especially for high school students.
Predição de crimes violentos contra o patrimônio em Maceió e Arapiraca usando o ConvLSTM
(2026-05-02) Ferreira, Leonardo Victor Fernandes; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Cruz, Jailton Cardoso da; http://lattes.cnpq.br/9366016044068759; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495
Spatiotemporal forecasting of violent property crimes is a relevant problem for the planning of preventive actions and for the allocation of public security resources. This work presents a methodological replication, in the context of the cities of Maceió and Arapiraca, of the fine-grained crime forecasting pipeline proposed by Albors Zumel, Tizzoni, and Campedelli (2025), based on a ConvLSTM architecture. From georeferenced records of violent property crimes provided by the Military Police of Alagoas, covering the period from 2012 to 2022, the work organizes the data into regular grids with cells of approximately 0.2 km2, aggregates occurrences in 12-hour windows, binarizes the cell-level signal, and trains a ConvLSTM with explicit imbalance treatment via weighted BCEWithLogitsLoss. Evaluation is performed by sweeping the classification threshold, reporting precision, recall, and F1 both in the traditional variant (cell-by-cell) and with spatial tolerance (Chebyshev neighborhood ≤ 1). The results show that, in both cities, the model achieves performance in the spatial variant significantly higher than in the traditional variant (spatial F1 of approximately 0.24 in Maceió and 0.21 in Arapiraca, against values below 0.05 in the traditional variant), evidencing that the network learns to correctly locate risk neighborhoods even when missing the exact cell. The work also discusses the main limitations of the approach, particularly the extreme sparsity of the data, and proposes directions for future developments, including the incorporation of sociodemographic and human mobility channels and comparison against baseline models.
QR Code como ferramenta de apoio para pessoas com transtorno do espectro autista (TEA): uma análise de viabilidade
(2025-11-27) Ferreira, Eyder Tinoco; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Bezerra, Tárcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Santos, Eduardo Breno Farias dos; http://lattes.cnpq.br/3318799697977357
This study investigates the feasibility of using QR Codes as a complementary tool for the identification and communication of individuals with Autism Spectrum Disorder (ASD). The research stems from the observation that traditional methods, such as the puzzle-piece lanyard and the Autism Spectrum Disorder Identification Card (CIPTEA), while important, present limitations regarding practicality, information updating, and the protection of sensitive data. To assess the potential of QR Codes in this context, a systematic literature review was conducted using the Google Scholar, SpringerLink, and IEEE Xplore databases, resulting in the selection of fourteen studies published between 2019 and 2024. The findings highlighted recurrent benefits such as ease of information access, low implementation cost, real-time verification, and authenticity assurance, along with privacy risk mitigation strategies based on blockchain, digital authentication, and encryption. Subsequently, a questionnaire was applied to fifty-one participants, including individuals with ASD and their guardians, revealing that 82.3% of CIPTEA users consider the document useful for accessing rights but express interest in more dynamic and customizable digital solutions. Based on these results, the GizmoCode web system was developed—a functional prototype built with Java and Angular, designed to generate personalized QR Codes containing contact and support information, implemented in a non-governmental organization (NGO) in Maceió, Brazil. The results indicate that QR Codes represent a viable, secure, and promising alternative to complement the identification of individuals with ASD, contributing to social inclusion, accessibility, and autonomy. However, further studies are recommended to perform heuristic evaluations and assess large-scale adoption in real environments.

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