Artículos - Ingeniería en Sistemas de Información
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- ItemGamificación que incorpora inteligencia artificial como estrategia didáctica para fortalecer el pensamiento lógico-matemático: estudio de caso de la plataforma MATUTC en niños de 8 a 10 años(Universidad Técnica de Cotopaxi (UTC). Facultad de Ciencias de la Ingeniería y Aplicadas. Sistemas de Información, 2026-07-02) Jarrin Campaña, Daniel Esteban; Falconí Punguil, Diego GeovannyIn recent years, technology has transformed education through ICT and artificial intelligence, enabling more interactive, personalized, and student-centered learning environments. Mathematics is essential for developing logical thinking, problem-solving, and STEM-related skills; however, many students struggle due to traditional teaching methods that often lead to low motivation and math anxiety. Gamification and AI offer an effective alternative by increasing engagement and adapting learning to each student's needs, particularly for children aged 8–10. In Ecuador, there is limited research on platforms that combine these technologies to strengthen logical mathematical thinking. Therefore, this study analyzes the performance and participation of students using the MATUTC platform, examining indicators of achievement, persistence, and progression associated with the development of logical-mathematical skills.
- ItemSistema de gestión con analítica de datos para optimizar las ventas en la lubricadora “Jonathan” del cantón La Maná(Universidad Técnica de Cotopaxi (UTC). La Maná. Sistemas de Información, 2026-10-16) Pilatasig Ayala, Robinson Eduardo; Unapucha Toapaxi, Mireya Cecibel; Cunuhay Cuchipe, Wilmer ClementeAutomotive microenterprises face limitations arising from the manual management of information, which scatters data and hinders evidence-based decision-making. The objective of this study was to design, develop, and implement a management system with data analytics capabilities to optimize sales at the "Jonathan" Lubrication Shop in La Maná canton (Ecuador), and to assess its impact through operational indicators. A mixed-methods approach with a non-experimental design was adopted, structured as a case study comprising a cross-sectional diagnostic phase and a pre-post evaluation; data were collected from 97 participants through surveys and semi-structured interviews. The diagnosis revealed that 34.83% of customers experienced problems when requesting services, mainly due to poor communication (46.97%) and lack of available products (33.33%), and that 67.39% had abandoned purchases because of stockouts. The system, built with Django REST Framework, Next.js, and PostgreSQL under the Scrum methodology, integrated modules for inventory with automatic alerts, point of sale, CRM with customer segmentation, and interactive dashboards. After three months of operation, a 75% reduction in sales registration time, an 89% decrease in inventory errors, and a 78% reduction in stockout incidents were recorded, along with an increase in staff satisfaction from 2.8 to 4.3 out of five points. The findings provided a replicable, affordable model for the digitalization of SMEs in Latin American contexts. General area of study: Information and Communication Technologies (ICT) / Systems Engineering. Specific area of study: Business Intelligence, Data Analytics, Sales Management Systems. Type of study: Original articles.
- ItemSistema de control de medicamentos con analítica de datos para la toma de decisiones en la "Farmacia comunitaria"(Universidad Técnica de Cotopaxi (UTC). La Maná. Sistemas de Información, 2026-10-16) Garces Vivanco, Emily Gabriela; Ruiz Cobeña, Jhosep Fabian; Diaz Puruncaja, Danny ManuelMedication management in pharmaceutical establishments faces significant challenges arising from the absence of automated systems capable of ensuring efficient inventory control and compliance with proper storage conditions, particularly regarding product expiration and demand variability. This study analyzes the implementation of a data analytics-based medication control system, using a community pharmacy in La Maná, Ecuador, as a case study. A mixed-methods approach was applied, combining quantitative data from structured surveys administered to 100 frequent customers and qualitative data from staff interviews, alongside the analysis of operational records. This methodology enabled the evaluation of current inventory practices, identification of consumption patterns, and detection of structural process inefficiencies. Results show that 68% of customers visit the pharmacy weekly or biweekly, 42% reported having received near-expiry medications at least once, and all staff members expressed the need for automated management tools.Based on this diagnosis, an information system integrating data analytics tools was designed and implemented, incorporating six functional modules: medication registration, inventory control, expiry and low-stock alerts, predictive consumption analysis (ARIMA model), exportable reporting, and role-based access control (RBAC). The system reduced dependence on manual processes, automated inventory monitoring, and strengthened data-driven decision-making through Business Intelligence tools. These results contribute to safer medication dispensing and improved service quality in community pharmacy settings, demonstrating that accessible technological solutions can generate significant operational impact in low-digitalization contexts.
- ItemDesarrollo de un sistema de análisis y predicción de condiciones agronómicas para optimizar el rendimiento en la cosecha de banano en la bananera "La Fortuna".(Universidad Técnica de Cotopaxi (UTC). La Maná. Sistemas de Información , 2026-10-16) Macías Cajamarca, Diego Andrés ; Vinces Manzaba, Luis Alexander; Bajaña Zajia, Johnny XavierBanana cultivation is one of the main pillars of the Ecuadorian economy; however, in many farms productivity is still limited by traditional agronomic monitoring practices, fragmented records, and inefficient administrative processes. In this context, the objective of this research was to implement a comprehensive web-based system for the analysis and prediction of agronomic conditions in order to optimize crop yield at the "La Fortuna" farm, located in Valencia canton. The study followed a mixed, applied, and descriptive approach and was supported by the Scrum framework to organize the technological development process. During the diagnostic stage, 15 strategic stakeholders from the farm participated, enabling the identification of operational needs, the standardization of 18 critical variables climatic, edaphic, nutritional, phytosanitary, productive, and management and the integration of information into a single platform. A Ridge Regression model was implemented for yield prediction, reaching a coefficient of determination of R² = 0.70 and a Mean Absolute Percentage Error of 17.9%, values that demonstrate adequate predictive capacity to support operational planning. The platform reduced by 93% the administrative time required to generate reports measured through real-time chronometry before and after implementation and achieved a user acceptance rate of 96.7%, assessed through a five-point Likert scale. The integration of data analytics, digital traceability, and automated prediction strengthens decision-making and promotes more precise, timely, and sustainable agronomic management.
- ItemAplicación Web descentralizada de cursos de programación con seguridad criptográfica para la academia P2P-Academy(Universidad Técnica de Cotopaxi (UTC). La Maná. Sistemas de Información , 2026-10-15) Constante Granja, Edison Ronaldo; Solis Vera, Cristian Andrés; Najarro Quintero, RodolfoOnline programming education continues to face structural challenges: delayed feedback, limited personalization, weak articulation between pedagogical support and academic operations, and growing information-security risks in digital educational platforms. This article describes the design, implementation, and evaluation of a decentralized web application for P2P-Academy, integrating educational management, synchronous sessions, progress tracking, continuous assessment, multichannel payments, universal accessibility, and a cryptographic security layer as a structural component. The research was conducted as an applied case study with a mixed-methods approach, combining technical system analysis, functional and non-functional testing, and an exploratory four-week pilot with 84 students and 12 instructors. The platform was built with Next.js on the frontend and Django REST Framework on the backend, incorporating JWT authentication, real-time communication via Django Channels, TLS 1.3 for data in transit, AES-256 encryption for sensitive data, hash-based certificate verification, role-differentiated dashboards, and modules for courses, sessions, progress, messaging, and payments, with decentralized architectural elements for transactions and certifications. Results show high functional performance: a 99.1 % success rate across 214 end-to-end test cases; video-call latencies of 180–220 ms with a MOS of 4.3/5; a global p95 of 2.1 s under 1,000 concurrent users; a payment success rate of 98.7 %; WCAG 2.1 AA compliance; a SUS score of 86/100; and an NPS of 72. At the educational level, the pilot recorded gains of 14–18 % in retention, 21 % in module completion, and improvements in satisfaction and learning tracking, supported by formative assessment strategies and immediate feedback. The study concludes that P2P-Academy constitutes a technically robust and pedagogically coherent solution whose differential contribution lies in integrating academic workflow, peer-to-peer interaction, cryptographic security, and evidence traceability within a single unified architecture; nonetheless, longitudinal validation and broader testing under large-scale scenarios are required.