Scientific Journal of Informatics ENCRYPT - ISSN: 2737-6389.

App Pyto: a case study in learning discrete mathematics

Fabricio Marcillo, Franklin Carrasco, Willian Ocampo, Rodolfo Córdova — Fri, 28 Feb 2025 00:00:00 +0000

Mobile applications today present multiple tools for learning in different fields of education, whether initial, secondary, tertiary or postgraduate. They have transformed multiple aspects such as access to information, personalized learning, flexibility and gamification. The proposal in this study was to use a mobile application (Pyto app) and evaluate the level of skills acquired in third level education students in Santo Domingo, Ecuador with the objective of determining the usability of the mobile application for the teaching of discrete mathematics. The results obtained showed that the usability of the application was acceptable within the study population; however, the level of skill acquired by the study population varied considering multiple factors. In conclusion, the use of mobile applications for knowledge gamification purposes allows the exploration of new teaching-learning methods and adaptation to new generations of students.

Methodological proposal for the evaluation of information security in academic management software

Cesar Leonel Zambrano Delgado, Alex Gregorio Mendoza-Arteaga — Fri, 28 Feb 2025 00:00:00 +0000

The research arises from the need to provide a methodology that uses a tool for the evaluation of information security in academic management software. To do this, through the review of the literature, an analysis of methodologies, tools, policies or local standards and regulations was carried out, in order to evaluate and obtain a higher degree of maturity in information security, considering all these standards and local regulations the aforementioned proposal was designed. This methodological proposal was subjected to validation by experts using the Delphi method. The results obtained based on two rounds of consultations show stability, reliability and consistency of the judgments issued, so it was concluded that the methodological proposal for the evaluation of information security in academic management software is theoretically feasible. For your application.

Drishar: platform for managing land transportation offers

Fri, 28 Feb 2025 00:00:00 +0000

In the present project, a mobile application was developed for the management of ground transportation in Cantón Bolívar, Calceta parish, to streamline the process of transportation supply and demand. This was done because a considerable part of the inhabitants of the city and its surroundings do not have fixed transportation for their safe travels. Therefore, the development of the application is aimed at the population of the aforementioned city, helping to ensure viable and safe transportation by streamlining the process through the use of technology in its management. The application requirements were developed using the IEEE 830 standard, the interface and system modeling were designed, and the development was carried out based on the phases of the SCRUM methodology. NodeJs, Ionic, Angular, MySQL Admin, GitHub, and other programming frameworks were used as the development platform for collaborative work with favorable results within the project. Finally, the ecosystem was created to deploy the web (Firebase) and mobile environments in the Play Store. After testing, the system was implemented, and parameters such as performance, interactivity, and presentation were evaluated. For this, interactions were held with the members of the San Agustín Taxi Cooperative of Cantón Bolívar, and the product received an 80% approval rating for the transportation supply and demand process.

E-Voting Mobile Application that optimizez the delegates voting process in Cooperatives

Fri, 28 Feb 2025 00:00:00 +0000

In the midst of the digital era, while the world is moving towards the modernization of its democratic processes, Peru still relies on traditional face-to-face elections, with citizens marking ballots. However, the emerging technologies of mobile applications for the electronic voting process are here to stay and to be fully implemented in global elections. We envision a future where voting is as easy as making a phone call. Therefore, this article provides a comprehensive analysis of electronic voting, examining several case studies covering different E-Voting systems implemented in different regions of the world. The evolution and main features of these systems are discussed, highlighting their potential to improve the efficiency and accessibility of the electoral process. In addition, the advantages and disadvantages associated with these systems are analyzed, including security, transparency and public confidence. The article concludes with a reflection on best practices and recommendations for future technological developments based on E-Voting, highlighting the importance of interoperability, blockchain implementation, continuous improvement of cybersecurity and the need to educate the public to foster trust and citizen participation in electoral processes.

Quality effectiveness of ESPAM-MFL'S academic management system based on ISO/IEC 25010 standard

Fri, 28 Feb 2025 00:00:00 +0000

Academic Management Systems (SGA) facilitate and optimize the administration and management of university educational institutions. The objective of this study was to evaluate the perceived effectiveness and quality of the SGA at the Escuela Superior Politécnica Agropecuaria de Manabí Manuel Félix López, based on the ISO/IEC 25010 Standard. A mixed method combining qualitative and quantitative data was used, following six steps: definition of criteria, construction of evaluation instruments, data collection, instrument validation, data analysis, and interpretation of results. The instrument validation resulted in a Cronbach's alpha coefficient of 0.973 in a sample of 167 students from the Computing and Electronics and Automation programs. The dimensions analyzed according to the ISO/IEC 25010 Standard included functional adequacy, performance efficiency, compatibility, usability, reliability, and security, obtaining satisfactory results in each. It was concluded that the SGA is perceived as "Efficient" as it meets most of the quality and usage requirements of the mentioned standard. The system is positively valued for its functionality, usability, and security. However, opportunities for improvement were identified in performance efficiency and compatibility to enhance fault tolerance and avoid service interruptions, in order to increase overall reliability.

Análisis forense a equipos informáticos

Fri, 28 Feb 2025 00:00:00 +0000

The purpose of this investigation is to determine the causes and digital means by which a company's information can be leaked, using computer forensic tools to identify possible offenders and the means used without altering the digital evidence, for this The methodology that follows the ISO/IEC 27037:2012 standard was used, which guides the identification, collection and preservation of digital evidence, maintaining its integrity and relevance. The result was a leak of information via email to external entities, revealing critical and confidential information of the company.

ROADMAP FOR RIGOROUS RESEARCH: A BASIC GUIDE TO PROTOCOLS IN SYSTEMATIC REVIEWS AND META-ANALYSIS

Fri, 28 Feb 2025 00:00:00 +0000

This work aims to outline a basic guide on the various protocols for systematic reviews and meta-analyses; for this purpose, a methodology was employed that included the formulation of search strings, the selection of relevant studies, and their analysis to synthesize information. Exhaustive searches were conducted in academic databases, and relevant studies were selected based on predefined criteria. As for the results, several protocols for conducting systematic reviews and meta-analyses were identified, such as COCHRANE, MOOSE, MARS, PRISMA, JBI, and REGEMA, as well as other protocols for assessing the quality of evidence and/or studies like QUOROM, GRADE, and AMSTAR. Each protocol focuses on different areas of application, providing a detailed guide for conducting systematic reviews and meta-analyses, according to the specificity of the field of study and the type of intervention being evaluated. In conclusion, the choice of the appropriate protocol could depend on the type of study and the research area; however, PRISMA is one of the most widely used protocols, and it has some extensions that provide a useful guide for researchers who wish to conduct systematic reviews and meta-analyses in different research areas to make adaptations.

Immersive Reality in the Development of Tutoring for Higher Education, Trends and Challenges: A Systematic Literature Review

Fri, 28 Feb 2025 00:00:00 +0000

This study examines the impact of Immersive Virtual Reality (IVR) in higher education through a systematic literature review. The PRISMA methodology was used to identify, evaluate, and synthesize studies on the implementation of IVR in academic tutoring. Findings indicate that IVR enhances the understanding of complex concepts, facilitates personalized learning, and promotes collaboration in virtual environments. Additionally, its usefulness in developing practical skills and fostering inclusive education is highlighted. However, its adoption faces challenges such as the need for advanced technological infrastructure, teacher training, and equitable accessibility. Despite these challenges, IVR represents an innovative tool with the potential to transform the traditional educational model. Longitudinal studies are recommended to assess their long-term impact and applicability across different disciplines. This study contributes to the discussion on integrating emerging technologies in higher education, highlighting both its benefits and barriers to effective implementation.

Inteligencia Artificial y Realidad Virtual y su Aplicación en la Educación

Cevallos Bravo Alfonso Vicente, Roberth Abel Alcivar Cevallos — Fri, 28 Feb 2025 00:00:00 +0000

This article investigated the impact of the development of artificial intelligence (AI) and virtual reality (VR) in education, with the aim of evaluating their impact on teaching and learning methods. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, the study was structured in three phases: planning, development, and reporting. Five research questions were addressed: recent advances and their impact on education, findings and trends in the literature, benefits and challenges for students, effective strategies for classroom implementation, and evolving and emerging areas in research. The results indicated that AI and VR are revolutionizing education by providing personalized and immersive learning experiences, although they also present challenges in terms of technology integration and teacher training. These findings underscore the significant potential of these technologies to enrich the educational process and highlight the need for further research to overcome obstacles and maximize their benefits in the academic field.

Impact of virtual environments on autonomous learning in Ecuador

Diana Priscila Cusme López, Jaime Meza Hormaza — Fri, 28 Feb 2025 00:00:00 +0000

The purpose of this study is to describe the impact of virtual environments on autonomous learning in Ecuador, with an initial phase of systematic review with publications from Scopus, Redalyc, Scielo, Dialnet, selective information for the analysis of this research work. The method used is documentary-based, collecting information and analysis of documents related to the event studied; focusing on the interpretation of the hermeneutic method. The results show a list of the ten best technological tools that influence the use of information and communication technologies in the teaching and learning process; Technologies have evolved and are having a great impact on autonomous processes through improvements related to collaboration, interoperability, flexibility, standardization and scalability when using these tools; Tables of contents of countless publications in already mentioned databases are presented that will serve as a strategy for the teacher to apply. We conclude that virtual learning environments contribute greatly to the teaching-learning processes, promoting analysis, with the help of technical resources, creating virtual classrooms, contribution of experiences, feedback from teachers and a good work environment. that allows the student to build their knowledge.

Machine Learning in Optimizing Energy Consumption in Smart Buildings: Trends and Challenges

Jorge Luis Veloz Zambrano, Yván Jesús Túpac Valdivia , Augusto Bernuy Alva — Fri, 28 Feb 2025 00:00:00 +0000

At the forefront of the technological and sustainable revolution, smart buildings stand out as models of efficiency and comfort, with a projected growth of 45 million in 2022 to 115 million by 2026. These buildings use advanced technology to optimize resources, improving the safety and well-being of their occupants. However, they face challenges in urban infrastructure, balancing accuracy, scalability, and adaptability in the field of the Internet of Things. The importance of data and machine learning to predict and improve energy consumption is emphasized, addressing the need for efficient and practical predictive models that handle complex data and capture spatiotemporal patterns. Gaps are identified in the standardized comparison of models, the efficiency of predictive algorithms, and the transformation of research into practical applications. This study asks key questions about resource management and optimizing energy consumption through machine learning, proposing specific objectives such as data collection and evaluation of models to validate the effectiveness and improve the lives of occupants, as well as contribute to the economic, environmental, and social impact. A systematic methodology for the literature review is followed, employing the PRISMA statement, and research questions are posed to guide the identification of trends and responses to the use of machine learning to predict energy consumption in smart buildings.

Blockchain aplicado a servicios gubernamentales: revisión sistemática de la literatura

Johnny Fabricio Rezabala Loor , Roberth Abel Alcívar Cevallos — Fri, 28 Feb 2025 00:00:00 +0000

Blockchain has been increasingly used as a software component to enable decentralization in software architecture for a variety of applications. Blockchain in government services has generated significant interest due to its potential to ensure the safe and appropriate use of this technology in the public sector. However, there are no systematic efforts for the prompt implementation of this technology in government services. To understand the state of the art of blockchain applied to government services, a systematic literature review was conducted using the most relevant studies pertinent to the subject matter. The data extracted from the primary studies are synthesized to answer the identified research questions. The study results reveal several important findings: 1) implementing this type of technology is a huge challenge but also a significant evolutionary step in government services; 2) countries that have implemented this technology enjoy greater citizen acceptance due to its immutable nature; and 3) the responsibilities and capabilities of blockchain stakeholders are briefly discussed, while decision rights, accountability, and incentives of these stakeholders are still under study. Practical guidelines are provided for academia and professionals to use throughout the blockchain life cycle, and future trends are identified to support researchers in this area.

Crypto-Cloud: Integration of Cloud Computing and Blockchain in Business Sectors: Systematic Literature Review

Miguel Joseph Rodríguez Veliz, Jerimy Isaac Moreira Alcivar — Fri, 28 Feb 2025 00:00:00 +0000

This research analyzes the convergence of blockchain technology and cloud computing, referred to in this study as "Crypto-Cloud," and its impact on business environments. The combination of these technologies offers improvements in security, transparency, and regulatory compliance, such as with the General Data Protection Regulation (GDPR). Additionally, it introduces innovations like Software-Defined Networks (SDN), fog computing, and edge computing, which optimize efficiency and enable real-time data processing. The study employed the PRISMA methodology to conduct a systematic literature review. The research questions focused on how the integration of blockchain and cloud computing enhances business environments, the best practices for implementation, and the associated challenges. Identified benefits include enhanced security, traceability, and data management in sectors such as agriculture, manufacturing, finance, and supply chains. Best practices include the use of hybrid architectures that combine blockchain with fog and edge computing to optimize performance. However, challenges such as latency and vendor lock-in complicate the implementation of blockchain and cloud-based services. Ultimately, Crypto-Cloud can transform business environments, enhancing the competitiveness and efficiency of operations. This work provides a foundation for future research aimed at exploring how to implement and optimize this technological convergence in various business sectors.

Systematic literature review of neural networks for fraud detection in financial transactions.

Cristhian Adrián Urdánigo Saltos , Roberth Abel Alcívar Cevallos — Fri, 28 Feb 2025 00:00:00 +0000

Currently, financial transactions play a fundamental role in our daily lives. This article presents a systematic literature review (SLR) on the use of neural networks to detect, predict, and prevent fraud in financial transactions. The first part of this research focuses on data collection, which was conducted following the PRISMA methodology. A dataset was compiled based on studies and research with the aim of obtaining results that can provide a clear insight into the use of neural networks for fraud detection in financial transactions. During the research process, it is demonstrated that Generative Adversarial Networks (GANs) and Artificial Neural Networks (ANNs) are the most commonly used for detecting and predicting fraud in financial transactions. Furthermore, it is evident that the most efficient neural networks for fraud detection in financial transactions are Recurrent Neural Networks, achieving an accuracy of 98.71%, and Generative Adversarial Networks (GANs) with an accuracy of 97.1%. These results clearly indicate that neural networks are highly effective in detecting and predicting fraud in financial transactions. This study demonstrates the significant progress that neural networks have made, notably improving accuracy in financial fraud detection. These advancements have allowed for a reduction in fraud risk and provided more efficient solutions in the financial sector. The results obtained from this research provide a valuable guide for researchers and professionals in the field of cybersecurity.