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Plan de negocios para la producción y comercialización de un gas pimienta natural y ecológico para defensa personal en la ciudad de Latacunga
(Universidad Técnica de Cotopaxi (UTC). Ciencias Administrativas y Económicas. Administración de Empresas, 2026-08-17) Maigua Cango, Bryan Alexander; Ramírez Jiménez, Santiago Fernan
This work develops a business plan for the production and marketing of BioDefens, a natural and ecological pepper spray made from organic pepper extract, organic alcohol, liquid glycerin, and distilled water, as an accessible and legal self-defense alternative to imported chemical sprays. The research was conducted through a mixed approach of a descriptive and purposeful type, applying a survey to 382 inhabitants of Latacunga City (317 valid responses) aged 25 to 54, whose results showed high acceptance of the product, with 96% of respondents willing to purchase it. The marketing analysis focused on brand positioning through the Canvas model and the 4P strategy, while the technical study established the production process, necessary resources, and installed capacity of 3,000 monthly units. The financial analysis, with the updated price of $4.50 per unit, demonstrates economic viability with a Net Present Value (NPV) of $2,059.20, an Internal Rate of Return (IRR) of 23.06% (significantly exceeding the Minimum Acceptable Rate of Return of 12%), a cost-benefit ratio of $1.02, and an investment recovery period of 3 years and 9 months. These indicators confirm that the project is profitable and sustainable in the medium term, generating a positive impact on citizen safety and local economic development through the use of natural, regionally sourced inputs.
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Sistema de control de medicamentos con analítica de datos para la toma de decisiones en la "Farmacia comunitaria"
(Universidad Técnica de Cotopaxi (UTC). La Mana. Sistemas de Información, 2026-10-16) Garces Vivanco, Emily Gabriela; Ruiz Cobeña, Jhosep Fabian; Diaz Puruncaja, Danny Manuel
Medication 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.
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Desarrollo 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 Mana. Sistemas de Información, 2026-10-16) Macías Cajamarca, Diego Andrés ; Vinces Manzaba, Luis Alexander; Bajaña Zajia, Johnny Xavier
Banana 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.
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Aplicación Web descentralizada de cursos de programación con seguridad criptográfica para la academia P2P-Academy
(Universidad Técnica de Cotopaxi (UTC). La Mana. Electromecánica, 2026-10-15) Constante Granja, Edison Ronaldo; Solis Vera, Cristian Andrés; Najarro Quintero, Rodolfo
Online 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.
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Sistema de gestión operativa basado en web con agente de notificación inteligente en la plantación de banano HG.
(Universidad Técnica de Cotopaxi (UTC). La Mana. Electromecánica, 2026-10-12) Masabanda Licoa, Allison Maylin; Valiente Cuchipe, Eva Rocío; Cajas, Jaime Mesias
Introduction: The efficiency of inventory management, agronomic monitoring, and report generation for analysis are decisive factors in creating decision-making models for complex, non-linear contexts. Objectives: This research implements and evaluates the performance of a web-based system for the operational management of Bananera HG, utilizing intelligent notification agents. Methodology: ...based on a mixed-methods approach adopted for the application of a non-experimental, cross-sectional design, integrated with an implementation phase to evaluate the system in an operational environment. A representative sample of 60 active employees from Bananera HG was selected; participants were chosen using probability sampling, ensuring a 95% confidence level. Results: Data analysis revealed critical weaknesses; error indicators showed a 78% impact, with reporting delays reaching up to 25 minutes. The implementation of the operational management system achieved a 45% reduction in operational errors and an 80% optimization in report generation, cutting process flow times down to 5 minutes. Furthermore, the integration of the smart notification agent achieved an 88% positive rating, based on the feedback provided by the staff. Conclusions: The findings confirm that replacing manual, analog processes with an automated system driven by artificial intelligence minimizes data inconsistency and variability while optimizing efficiency parameters in the agricultural sector—as demonstrated at Bananera HG—thereby validating the viability of technological solutions tailored to specific local conditions. General area of study: Information and Communication Technologies (ICT) / Systems Engineering. Specific area of study: Information Systems, Web System Development, and Artificial Intelligence Applied to Operational Management. Type of study: Original articles.