NAKOTA: Sociedad, Emprendimiento, Innovación e Industria
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Tipo de ítem: Ítem , Implementación de una herramienta digital en App Sheet Aplicando la metodología Lean Six Sigma para la gestión de cotizaciones en Incontech S.A.S Ubicada en Villavicencio en el año 2026(Universidad Santo Tomás, 2026-06-11) Salas Castro, Lina Marcela; Cruz Ardila, María Fernanda; Gonzáles Garzón, Jhon Alexander; Universidad Santo Tómás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000036254; https://scholar.google.es/citations?hl=es&view_op=list_works&gmla=AJsN-F5zohUw5C2A9JrZhN_LLgbhJEobAkJwcBghpsujCe7U7vS5kwVNIpsgKtE0Pe5YOkRdr0GdoWsJW6br2WdjL_TFmGt4NIsspJDioQ-6YZxj4kpxILA&user=umj9l4sAAAAJ; https://orcid.org/0009-0002-9999-2822The objective of this project was to implement a digital tool in AppSheet, applying the Lean Six Sigma methodology, to optimize the management of the quotation process in the commercial area of Incontech S.A.S., a service-sector company located in Villavicencio. The identified problem revealed significant delays in the preparation and follow-up of quotations, as well as an increase in the percentage of rejected quotations, which rose from 6.32% to 65.99% over the past three years, affecting competitiveness and customer satisfaction. The research was conducted under a mixed-method approach, with an applied and descriptive design, using the DMAIC cycle (Define, Measure, Analyze, Improve, and Control). Throughout the different phases, Lean Six Sigma tools such as SIPOC, Pareto diagram, cause-and-effect diagram (Ishikawa), 5S methodology, and the A3 analysis sheet were used to identify and prioritize the root causes of the problem, mainly associated with rework, unproductive time, and lack of standardization in the commercial process. As a result, an AppSheet application was implemented to digitalize and automate the quotation management process, integrating intelligent forms, a centralized database, traceability, and real-time tracking. The proposal significantly reduced response times, facilitated access to information, standardized the workflow, and improved internal communication among the involved areas. Quantitatively, a 91.11% reduction in the average cycle time and a 76.92% decrease in errors were achieved, along with the complete elimination of pricing-related issues and full automation of process activities. It is concluded that technological integration based on Lean Six Sigma principles enhances operational efficiency and promotes continuous improvement in administrative processes within service companies.Tipo de ítem: Ítem , Desarrollo e implementación un sistema IoT embebido en el microcontrolador Esp32 para la gestión de sensores y actuadores en modo AP (Punto de acceso) y STA (Estación)(2025-12-01) Triviño Torres, Luis Carlos; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001406510; https://scholar.google.com/citations?hl=es&user=UEBWV88AAAAJ; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0000-0003-0775-6460Development and Implementation of an Embedded IoT System on the ESP32 Microcontroller for Sensor and Actuator Management in AP (Access Point) and STA (Station) Modes This project, led by the Ciberondas research group of the Computer Engineering program at Universidad Santo Tomás, is framed within the growing relevance of the Internet of Things (IoT), which has transformed interactions with devices and environments. The main objective was to design an IoT system based on the ESP32 microcontroller, capable of efficiently managing sensors and actuators while adapting to different connectivity environments through access point (AP) and station (STA) operating modes. The methodology included integrating a REST API to facilitate communication between the ESP32 and external services, as well as implementing the MQTT protocol compatible with the EMQX broker in both local and cloud environments. The user interface was developed using HTML, CSS, and JavaScript, implemented in a web dashboard that enables real-time monitoring and control of the system. The hardware incorporated high-precision sensors such as the DHT22 and DS18B20, along with actuators like LEDs and relays, while the software employed specialized libraries for Wi-Fi connectivity management and web server functionality. The results highlighted the versatility and efficiency of the proposed system, demonstrating its ability to adapt to diverse scenarios and requirements. This project makes a significant contribution to the IoT field by providing a robust, flexible, and scalable platform, ideal for applications requiring real-time monitoring and control across multiple contexts.Tipo de ítem: Ítem , Plan de mejora continua con enfoque lean six sigma en el área de inventarios para la Distribuidora Universal del Llano de Villavicencio en el año 2025(Universidad Santo Tomás, 2026-01-17) Morales Castañeda, Verónica; Moreno Orjuela, Paula Andrea; Gutiérrez Romero, Diana Paola; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001685748; https://scholar.google.es/citations?hl=es&user=Sgn8V2gAAAAJ&view_op=list_works&authuser=1&gmla=AJsN-F4c3TnMkYoecKTHGoNq-siNHu2kxe_RZE02cTpGUcVX8wTqsy0af57D2mChCXR2VJ0b4cWCt6znwJhIYwyT3ynYDufwy9Spa7WU0hRjOFNhy6Dxo7A; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0000-0002-1397-3042This case study was implemented at Distribuidora Universal del Llano, a food distribution company in the city of Villavicencio, where inconsistencies were found in the inventory area due to a lack of standardization in the process and control of records. Therefore, there is a need to design an inventory management improvement plan using the Lean Six Sigma methodology, primarily using industrial engineering measurement tools, depuration of inactive lines, and the creation of a system for recording product purchase and sale movements. Finally, a more comprehensive, efficient, organized, and sustainable management system was established by generating a more reliable inventory through the reduction of records not contained in physical stocks, in addition to strengthening processes within the area and tracking the most representative products. This also achieved an 80% improvement in compliance with the proposed implementation of the 5S methodology.Tipo de ítem: Ítem , Guía de implementación iso 9001 en la óptica new vision(Universidad Santo Tomás, 2025-12-03) Colmenares Melo Jhonatan David; Padilla Saavedra Daniel Mateo; Rincón Romero Silverio; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000757594; https://scholar.google.es/citations?hl=es&view_op=list_works&authuser=1&gmla=AJsN-F4i8N9cbuSOvRBvohQ-XDeMi4nWc2YQ4dPQ4HG6LqLI60HTwNr-1Z6Sp29004CvHLgtBn4P8OTidILjQAnhLgAJDpJ2uOd8dPXVjQSR8LINMK-L-S4&user=8xHrregAAAAJ#d=gs_hdr_drw&t=1733502867805; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0008-9079-4428This proposal was developed at New Vision Optical in Villavicencio, with the purpose of strengthening service quality and internal management through the implementation of a Quality Management System (QMS) based on the ISO 9001 standard. The project arises from the lack of process standardization, formal controls, and tools to evaluate customer satisfaction, which limits the company’s competitiveness against other local optical businesses. Its justification lies in the need to establish a system that ensures efficiency, traceability, and continuous improvement, allowing the optimization of customer service, error reduction, and enhancement of the company’s institutional image. The general objective was to design and implement a QMS that standardizes procedures and improves customer experience by applying management and quality tools. The methodology was based on the DMAIC approach (Define, Measure, Analyze, Improve, and Control), supported by instruments such as the Ishikawa diagram, performance indicators, digital satisfaction forms, PDCA cycles, and internal control audits. Finally, the implementation schedule, represented in the Gantt chart, covered the phases of diagnosis, planning, implementation, and evaluation, carried out between June and September 2025, customer satisfaction tracking increased from 0% to 100%, all P.Q.R.S. cases were documented and classified in the system, and the advisory procedure is now standardized and recorded from reception to closure that promotes the company’s growth and long-term sustainability.Tipo de ítem: Ítem , Regulaciones y reformulación de alimentos, impacto en procesos, costos y cadena de suministro. Revisión sistemática(Universidad Santo Tomás, 2025-11-21) Arias Rojas, Laura Sofia; Solano Ferrer, Danna Gabriela; González Garzón, Jhon Alexander; Cogollo Torres, Cristina Isabel; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000036254; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002040962; https://scholar.google.es/citations?user=umj9l4sAAAAJ&hl=es; https://scholar.google.com/citations?user=IEoILyQAAAAJ&hl=es; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000017912; https://orcid.org/0009-0002-9999-2822; https://orcid.org/0009-0000-4729-0584Introduction: The increase in the consumption of sugary drinks and other beverages has had a direct impact on public health, prompting the adoption of regulations such as the Front-of-Package Nutritional Warning Label (FOPNL). These policies aim to guide consumer choices and encourage the industrial reformulation of products to reduce sugars, sodium, and saturated fats. Objective: To conduct a systematic review of the available literature on the impact of labeling regulations and the reformulation of food and beverages on production efficiency, costs, and supply chain dynamics in the food industry. Materials and Methods: A systematic review was conducted using indexed databases (Scopus, SciELO, etc.) for the period between 2018 and 2025. Inclusion and exclusion criteria were applied, focusing on studies that evaluated the effect of labeling and reformulation policies on the industry. Results: Mandatory regulations, such as the Front-of-Package Nutritional Warning Label (FOPNL), show a strong association with product reformulation, significant reductions in sugars, sodium, and fats, and improvements in industrial efficiency. No significant negative impacts on employment, wages, or prices were observed. Companies have adapted their supply chains through technological innovation, traceability, and digitalization. Conclusions: Food Efficiency Analysis (FEA) and reformulation are key tools for improving public health and fostering innovation in the industry. However, gaps remain in the precise quantification of costs, in understanding the long-term effects on supply chains, and in comparative analyses of regulatory frameworks. Keywords: Industrial efficiency; food reformulation; nutritional labeling; operational costs; production sustainability.Tipo de ítem: Ítem , Plan de mejora en el proceso de distribución de pedidos en la empresa Pintura Tropical Imperkolor de la ciudad de Villavicencio para el año 2025(Universidad Santo Tomás, 2026-01-14) Aldana Bermudez, Brayan Estevan; Mosquera Benito, Andres Felipe; Vargas Pineda, Oscar Ivan; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001539970; https://scholar.google.es/citations?user=z57El9wAAAAJ&hl=es; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0000-0002-6462-4264Pinturas Tropical Imperkolor Company, located in the city of Villavicencio, has high gasoline consumption because it doesn’t have a tool to optimize the logistics management of its deliveries. The company doesn’t evaluate the viability of each order based on factors like distance, transportation costs, and profitability. This causes inefficient deliveries, an increase of operational costs, and a decrease in net profits. The main goal of this project is to implement an improvement alternative in the order distribution process to reduce gasoline costs in 2025 in Villavicencio and nearby towns. The selected methodology is DMAIC, which has five phases: Define, where the problems and objectives are identified; Measure, which includes data collection of the current process; Analyze, to find the key variables that affect delivery viability; Improve, which consist of developing and implementing a system to analyze each order considering profitability and transportation costs; and Control, which evaluate the results of the implementation and adjusts the system to guarantee its effectiveness. The proposed system will use a traffic light system to decide if an order is viable or not, comparing the profit of the order with the transportation cost. If the cost is higher than 10% of the profit, the order will not be authorized, and other strategies will be applied.Tipo de ítem: Ítem , Diseño e implementación de una aplicación web para el control de inventarios de la Distribuidora el Buen Sabor VR S.A.S en la ciudad de Villavicencio para el año 2025(Universidad Santo Tomás, 2025-01-13) Ramos Ardila, Paula Valeria; Porto Ruiz, Juan José; Gonzalez Garzón, Jhon Alexander; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000036254; https://scholar.google.es/citations?view_op=list_works&hl=es&hl=es&user=umj9l4sAAAAJ; https://orcid.org/0009-0002-9999-2822Process optimization has ceased to be merely a concept and has consolidated itself as a guiding principle inherent in every productive process or activity. There is no company that does not integrate continuous improvement as an essential part of its operation, since there is always something to enhance and strengthen within the organization. In this regard, efficiency emerges as an unavoidable premise that gains particular relevance in the food sector, where proper inventory management and waste reduction are decisive factors to ensure competitiveness and growth in a dynamic and highly demanding environment. The present work aimed to design a web application to optimize inventory control at Distribuidora El Buen Sabor VR S.A.S., located in Villavicencio, due to its reliance on manual records, an obsolete system, and the lack of clear control policies, which caused losses of nearly 54% of the monthly inventory. Expired products accounted for 95% of the defects, representing the most critical factor in the losses. To address this issue, the Lean Six Sigma methodology was applied under the DMAIC cycle (Define, Measure, Analyze, Improve, and Control), which allowed mapping of the current process and structuring a path for improvement. As a result, the implementation led to a digital tool that integrates product registration, physical counts, defect control, and real-time reports. Combined with the application of the 5S methodology, it not only optimized product management but also improved visual control and process standardization in the warehouse, providing a more reliable, efficient, and sustainable control model for the distributor.Tipo de ítem: Ítem , Estudio de caso acerca de la estandarización de los procesos de reparación de sistemas de inyección diésel electrónicos en un Laboratorio Diésel, utilizando la metodología Lean Manufacturing y Lean Six Sigma(Universidad Santo Tomás, 2025-12-15) Herrera Carvajal, Jaider Adamed; Jaramillo Garzon, Valeria; Gutierrez Romero, Diana Paola; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001685748; https://scholar.google.es/citations?hl=es&user=Sgn8V2gAAAAJ&view_op=list_works&authuser=1&gmla=AJsN-F4c3TnMkYoecKTHGoNq-siNHu2kxe_RZE02cTpGUcVX8wTqsy0af57D2mChCXR2VJ0b4cWCt6znwJhIYwyT3ynYDufwy9Spa7WU0hRjOFNhy6Dxo7A; https://orcid.org/0000-0002-1397-3042This degree project presents the development of a case study aimed at improving the repair process of electronic diesel injectors at Laboratorio Diesel Solution, located in Villavicencio. The project arises from the need to optimize operational efficiency and reduce repair times, rework, and associated costs through the application of Lean Manufacturing tools and the DMAIC methodology from Six Sigma. Initially, a situational diagnosis was carried out to identify bottlenecks, deficiencies in the workspace layout, and the lack of standardization in critical activities. The measurement phase made it possible to establish key indicators such as OEE, sigma level, average repair time, and warranty rate. Subsequently, through the Ishikawa analysis, improvement strategies were implemented based on the 5S methodology, time and motion studies, and the creation of a Kanban board for visual process control. As a result, there was a significant reduction in repair times, an improvement in the organization of the technical area, and an increase in the reliability of the serviced equipment. Finally, control indicators were established to ensure the sustainability of the implemented improvements and to support future decision-making within the laboratory.Tipo de ítem: Ítem , Plan de negocios para la creación del grupo de desarrollo e innovación empresarial Atenea(Universidad Santo Tomás, 2024-11-10) Ocampo Rodríguez, Diego Alejandro; Gutierrez Romero, Diana Paola; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001685748; https://scholar.google.es/citations?hl=es&user=Sgn8V2gAAAAJ&view_op=list_works&authuser=1&gmla=AJsN-F4c3TnMkYoecKTHGoNq-siNHu2kxe_RZE02cTpGUcVX8wTqsy0af57D2mChCXR2VJ0b4cWCt6znwJhIYwyT3ynYDufwy9Spa7WU0hRjOFNhy6Dxo7A; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0000-0002-1397-3042Grupo de Desarrollo e Innovación Empresarial Atenea is a business consulting firm specialized in the comprehensive development and innovation of companies and organizations. It offers specialized advice in key areas such as finance, processes, human resources, customer service, and marketing. Its focus is on data analysis and business intelligence to collect, clean, transform, and analyze relevant information for the organization. Through this analysis, it is committed to identifying patterns, trends, and results that allow for the identification of areas for improvement and the proposal and implementation of development projects. The proposal of Grupo de Desarrollo e Innovación Empresarial Atenea stands out for its adaptation of solutions to the specific challenges of companies, seeking to optimize their performance, promote innovation, and drive their growth. By using advanced tools such as Power BI, Tableau, and Excel for data analysis, along with organizational culture methodologies such as Kaizen, Lean Manufacturing, and Six Sigma, it guarantees excellence and efficiency in each project it undertakes. With a highly qualified team and solid knowledge in industrial engineering, Grupo de Desarrollo e Innovación Empresarial Atenea proposes a comprehensive approach to business development, offering innovative and effective solutions for companies in the city of Villavicencio.Tipo de ítem: Ítem , Desarrollo De Un Algoritmo De Automatización Para el Procesamiento y Análisis De la Facturación De Datos De la Empresa Clínica las Victorias, En Espinal-Tolima Mediante el Lenguaje De Programación PYTHON.(Universidad Santo Tomás, 2025-06-25) Castillo Guevara, Jacobo; Rincon Romero, Silverio; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000757594; https://scholar.google.es/citations?hl=es&view_op=list_works&authuser=1&gmla=AJsN-F4i8N9cbuSOvRBvohQ-XDeMi4nWc2YQ4dPQ4HG6LqLI60HTwNr-1Z6Sp29004CvHLgtBn4P8OTidILjQAnhLgAJDpJ2uOd8dPXVjQSR8LINMK-L-S4&user=8xHrregAAAAJ#d=gs_hdr_drw&t=1733502867805; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0008-9079-4428The central problem addressed by this project is the need for Clínica Las Victorias Fracturas S.A.S to optimize its billing analysis processes, which are highly demanding due to the large amount of data generated. Currently, the lack of automation limits efficiency in generating executive reports, which affects informed decision-making. This work justifies the implementation of an automated data analysis algorithm in Python, as advanced technologies such as artificial intelligence and automation have proven effective in optimizing similar processes in various industries. The general objective is to develop an algorithm in Python to automate the processing and analysis of the clinic's billing data, thereby enabling more efficient data management and improving decision-making. The methodology involves an applied approach, including data collection, the design of the algorithm's logical scheme, code construction, testing and validation, and finally, implementation with staff training. The expected results include automating the billing analysis process, which will facilitate the generation of more accurate and timely reports. This will allow the clinic to identify important patterns and trends to enhance its operational efficiency.Tipo de ítem: Ítem , Viabilidad de la formalización de Ing-Biker repuestos y accesorios: comercialización de repuestos y accesorios para motocicletas en Villavicencio, Meta(2025-07-02) Pinzón Blanco, Brayan Arturo; Falla Pardo, Jineth Nataly; Gutierrez Romero, Diana Paola; universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001685748; https://scholar.google.es/citations?hl=es&user=Sgn8V2gAAAAJ&view_op=list_works&authuser=1&gmla=AJsN-F4c3TnMkYoecKTHGoNq-siNHu2kxe_RZE02cTpGUcVX8wTqsy0af57D2mChCXR2VJ0b4cWCt6znwJhIYwyT3ynYDufwy9Spa7WU0hRjOFNhy6Dxo7A; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0000-0002-1397-3042ING-BIKER REPUESTOS Y ACCESORIOS is a proposed business projected to start operations in Villavicencio, Meta, focused on the commercialization of a wide variety of motorcycle products, including tires, accessories, lubricants, alarms, replacement parts, lighting, and cleaning products. The main differentiating factor of ING-BIKER is its competitive pricing and exceptional customer service experience, which includes comprehensive support in both pre- and post-sales service, free installation for most products, and a loyalty program offering customers exclusive promotions through a card system after completing 10 purchases. According to a conducted survey, the target clientele is estimated to consist of 93% men and 7% women, all interested in keeping their motorcycles in optimal mechanical and aesthetic condition. The viability of the project is based on the growing demand for motorcycles in Colombia over the last decade. According to the National Quality of Life Survey (ECV) from DANE, the percentage of households owning these types of goods has increased in the last decade, reaching 27.2% by 2023. Additionally, the project leverages the technical expertise of the team to provide comprehensive customer support across pre-sales, sales, and post-sales stages, meeting the specific needs of the business's target segment.Tipo de ítem: Ítem , Consultoría en gestión de procesos médicos VitalLean Solutions(2025-07-11) Plazas Herrera, Julián David; Orejarena Gallego, Juan José; Gonzales Garzón, Jhon Alexander; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000036254; https://scholar.google.es/citations?hl=es&view_op=list_works&gmla=AJsN-F5zohUw5C2A9JrZhN_LLgbhJEobAkJwcBghpsujCe7U7vS5kwVNIpsgKtE0Pe5YOkRdr0GdoWsJW6br2WdjL_TFmGt4NIsspJDioQ-6YZxj4kpxILA&user=umj9l4sAAAAJ; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0002-9999-2822This project proposes the creation of a company in Villavicencio specializing in the implementation of Lean Healthcare, aimed at improving operational efficiency in hospitals, clinics, and healthcare centers. Using tools such as value stream mapping, 5S, and kaizen, the company will optimize the management of medical consultations, reduce waiting times, and improve the utilization of medical resources. This is expected to increase patient satisfaction and reduce operational costs. Lean Healthcare is an approach that applies Lean principles, originally developed for manufacturing, to the healthcare industry. The main goal is to maximize value for the patient while simultaneously reducing waste. By applying these methods in hospitals, clinics, and medical centers, we strive to improve operational efficiency and the quality of care. One of the fundamental tools of Lean Healthcare is value stream mapping, which allows for the visualization of the flow of information and materials within a process, helping to identify waste. In a hospital, for example, it can track the entire process from the patient’s arrival to their care, identifying unnecessary steps that can be eliminated to optimize patient care. Another key tool is the 5S approach, which aims to organize and standardize care delivery. The work environment goes through five steps: sorting, organizing, cleaning, standardizing, and sustaining. This increases efficiency and reduces the time needed to acquire tools and materials, while also creating a safer and more pleasant working environment for medical staff.Tipo de ítem: Ítem , Desarrollo de un algoritmo automatizado para el análisis y la predicción de precios en la bolsa mercantil de colombia mediante el lenguaje de programación de python, con proyección al año 2020.(2025-06-16) Gamba Silva, Veronica; Isao Brauzin, Karol Fabiana; Adriana Amelia, Céspedes Orjuela; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002037717; https://scholar.google.es/citations?user=luIPfswAAAAJ&hl=es; https://scholar.google.es/citations?view_op=list_works&hl=es&user=ZmEsn18AAAAJ; https://scholar.google.com/citations?authuser=6&user=PqFIZGkAAAAJ; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0001-5101-9022; https://orcid.org/my-orcid?orcid=0009-0003-6854-8179&justRegistered=true; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002037717This project proposes the development of an automated algorithm in Python to analyze and forecast price trends in Colombia's Bolsa Mercantil. Using historical data from 1995 to 2015, advanced machine learning techniques including ARIMA and LSTM are applied to generate forecasts for the next 5 years. The proposal is justified by the need to anticipate trends in a volatile market, facilitating strategic decisions for producers, traders, and regulators. Keywords: machine learning, price prediction, Bolsa Mercantil, Python, time series.Tipo de ítem: Ítem , Análisis comparativo entre un modelo de machine learning y un modelo estadístico para la predicción de Villavicencio(2025-06-11) Barrera Meza, Samuel; Urrego Gonzalez, Johan Steven; Vargas Pineda, Oscar Iván; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001539970; https://scholar.google.es/citations?user=z57El9wAAAAJ&hl=es; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0000-0002-6462-4264This article presents the development of a machine learning model designed to predict rainfall levels in the municipality of Villavicencio, Meta, Colombia. The main objective was to offer a practical tool to support decision-making in key sectors such as agriculture, environmental management, and urban planning. Historical data collected from 1980 to 2023 by IDEAM were processed, cleaned, and structured into time series. Supervised learning models were implemented using modern programming techniques in Python, with Google Colab as the development environment. Several forecasting approaches were compared to determine the most effective in terms of accuracy and efficiency. Results showed a significant improvement over traditional models such as ARIMA, especially in identifying seasonal patterns. Additionally, an implementation manual was developed to support adoption by public and private organizations interested in local climate forecasting.Tipo de ítem: Ítem , Desarrollo de un algoritmo para la generación automática de certificados académicos en el Colegio El Divino Salvador de Villavicencio, Meta, durante el año 2025(2025-06-13) Garcia Quintero, Julian Mateo; Adriana Amelia, Céspedes Orjuela; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002037717; https://scholar.google.com/citations?authuser=6&user=PqFIZGkAAAAJ; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/my-orcid?orcid=0000-0002-7244-8950El Colegio El Divino Salvador faces significant problems in generating academic certificates due to a manual process that is time-consuming, expensive, and heavily reliant on human resources. Currently, issuing over 350 certificates at the end of the school year requires hiring additional staff, resulting in an annual cost of $1,050,000. Furthermore, the manual process increases the risks of errors and delays. As a solution, it is proposed to implement an automated system in Python that extracts and validates data from the school's database to generate digital certificates in PDF format in seconds. This automation will reduce costs, eliminate the need for additional personnel, minimize human errors, and improve operational efficiency. The system will be scalable, allowing it to accommodate growth in student numbers, and provide a long-term sustainable solution for the schoolTipo de ítem: Ítem , Desarrollo de un algoritmo para la generación automatizada de alertas tempranas de vencimiento de la plataforma de rastreo para la empresa GLOBAL MONITORING GPS(2025-06-12) Gómez Cabrera, Ángel Gabriel; Urueña Saavedra, Yulisa Dayana; Vargas Pineda, Óscar Iván; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002086588; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002086677; https://scholar.google.es/citations?user=oBFaYNwAAAAJ&hl=es; https://scholar.google.com/citations?hl=es&user=iv0-lh4AAAAJ; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0006-9691-2734; https://orcid.org/0009-0008-2591-3961The main objective of this project is to develop an algorithm that allows the automated generation of early alerts regarding the expiration of vehicle tracking services offered by the company GLOBAL MONITORING GPS. This algorithm aims to optimize the management of expirations, improve operational efficiency, and strengthen customer relationships through timely notifications. Currently, the company faces issues because customers often forget to pay on time, which disrupts the tracking service. This affects data transmission and the company's ability to continuously and accurately monitor vehicles, as tracking depends on the connectivity of SIM cards. The project was designed as an observational and practical study, analyzing historical data patterns on the usage and expiration of network monitoring plans for the company's customers. Initially, in the practical phase, a logical scheme was created for how the algorithm would be implemented in the execution environment. Following this, the algorithm was developed in Python, hosted in the Google Colaboratory environment, which allowed the generation of reports and alerts through programming. Additionally, a user manual was created with detailed instructions for the installation and use of the algorithm, facilitating its implementation in the company. This project successfully developed an effective solution for managing the expirations of vehicle tracking services, improving the operational efficiency of GLOBAL MONITORING GPS, and ensuring a higher quality service for its customers.Tipo de ítem: Ítem , Automatización del Proceso de Facturación y Gestión de Clientes en la Empresa Pétreos y Agregados del Municipio Guamal – Meta del 2025(Universidad Santo Tomás, 2025-06-11) Chaparro Soto, Sara Yuliana; Granados Espinel, Laura Sofia; Cogollo Torres, Cristina; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/EnRecursoHumano/query.do; https://scienti.minciencias.gov.co/cvlac/EnRecursoHumano/inicio.do; https://scholar.google.com/citations?hl=es&user=eb-dCE4AAAAJ&scilu=&scisig=AKr7NagAAAAAaC5w9oJCD8nMdhFkws08EWbgBJM&gmla=AIfU4H4CkPvKCbCDokVczdsZkqm2dRFSUYMP_XOlzzrM4s-JFualf9S5GgDEMWxtGMff80P3AtdKLPXduhP44Xh3CUm-wgWEPLzYQKSRDtCp2_pYXsNiJnmA7w&sciund=5773874526306637659; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0002-7861-4646; https://orcid.org/0009-0009-6312-141XThis project aimed to automate the invoicing process at Pétreos y Agregados, located in Guamal, Meta, by 2024. This was in response to the need to modernize its administrative processes and adapt to the challenges of Industry 4.0. The company previously performed its invoicing manually, which led to errors, delays, and difficulties in managing sales and customers. Automation reduced the time required for repetitive tasks, consolidated a structured customer base, and facilitated decision-making with reliable information. The methodology used was both observational and applicative. In the observational phase, manual invoicing processes were considered, and in the applicative phase, a Python algorithm was designed and implemented in Google Colab. This system processed historical data, optimized processes, calculated invoices, and automatically generated electronic invoices. In addition, a user manual was developed with instructions for optimal operation. Automation not only improved the efficiency of the invoicing process but also represented a step forward for the company's digital journey. The implementation allowed a process that used to take 20 minutes to be completed in 5 or 10 minutes, generating faster work, fewer errors, and clearer information for decision-making. It also strengthened an important aspect such as customer inventory control, preparing the company to face future challenges. Keywords: Automation, Electronic Invoicing, Algorithm, Pymes, Industry 4.0, Process Optimization.Tipo de ítem: Ítem , Desarrollo de un Algoritmo Automatizado para la Generación de Reportes de Ventas en la Escuela de Gastronomía El Gran Chef de Villavicencio a través del lenguaje de programación PYTHON.(2025-06-11) Paez Muñoz, Carlos Alejandro; López Beltrán, Nathalí; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/EnRecursoHumano/query.do; https://scholar.google.com/citations?view_op=new_profile&hl=es; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0006-9828-3556The El Gran Chef Culinary School, located in Villavicencio, has experienced difficulties in managing its financial information due to the manual generation of sales reports. This process involved long execution times, a high administrative workload, and a significant risk of human error, ultimately affecting strategic decision-making and operational efficiency. In response to this issue, the development of an automated algorithm for generating sales reports was proposed, using the Python programming language as the primary tool. The main objective of this project was to design and implement a technological solution capable of processing, analyzing, and visualizing financial data accurately, quickly, and in real time. An observational and applicative methodology was adopted, which included the collection of historical data, the design of the algorithm's logical flow, the construction of the code in Google Colab, and validation through tests using real information provided by the institution. The results showed a reduction of more than 85% in report generation time, as well as a significant improvement in data accuracy and the visualization of key performance indicators. A user manual was also developed, allowing administrative staff to be trained and effectively adopt the system, ensuring its sustainability. This proposal demonstrates the potential of data science–driven automation to enhance financial management in educational institutions.Tipo de ítem: Ítem , Implementación de un modelo predictivo para la gestión de las ventas de OSM DE COLOMBIA SAS para el año 2025-1(Universidad Santo Tomás, 2025-06-11) Gutierrez Echeverria, Juan Pablo; Bocanegra Cristancho, Natalia; Gutierrez Romero, Diana Paola; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/visualizador/ge nerarCurriculoCv.do?cod_rh=0001685748; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002086905; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002102774; https://scholar.google.com/citations?view_op=list_works&hl=es&authuser=1&user=Sgn8V2gAAAAJ; https://scholar.google.com/citations?view_op=new_profile&hl=es&authuser=1; https://scholar.google.com/citations?hl=es&user=6p3KD9UAAAAJ&view_op=list_works&citft=1&email_for_op=Natalia.Bocanegra1213%40gmail.com&gmla=ALUCkoXcST2IFAd166k3ym1_XAavH8tP_Uh-fobykvrodyX4IMbgr_QYc8uefRCzlQy1zAJbgJ1wFsHhOtKAaDL6vz7V40OYq; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0000-0002-1397-3042; https://orcid.org/0009-0008-5460-0593; https://orcid.org/0009-0006-7075-1936Inefficient sales forecasting is a recurring problem in many organizations, which employ manual and outdated methods to make predictions. This consumes valuable resources, both time and money, which can have serious economic consequences for companies. In this context, this thesis aims to develop a sales prediction model using machine learning techniques. This model will facilitate decision-making regarding import timing and costs, in addition to preventing lost sales. The objective is to offer a solution that improves the accuracy of sales projections, considering that any margin of error could significantly affect financial results. In a highly competitive business environment, identifying patterns and relationships between indicators and sales is a key asset for a company's success. By implementing accurate and efficient sales forecasts, organizations not only recover losses but also drive sustainable growth, strengthening informed decision-making. The methodology used includes the selection of Machine Learning samples based on previously researched techniques, incorporating relevant variables from both the business environment and the external context. The sample obtained will be structured and processed in a Python IDLE environment, such as Google Colab. After data normalization, which is a crucial step to ensure all variables are on a comparable scale and facilitate model training, a thorough statistical analysis will be carried out. This analysis allows for the identification of significant patterns and relationships in the data that may influence sales predictions and establishes the data structure so that the models can learn effectively. Once the data is ready, several Machine Learning models, such as the Decision Tree, will be selected and trained. These models will be trained on one dataset and tested on another to assess their predictive capacity.The testing process will consist of comparing the model's predictions with actual sales figures or stock quotes. To measure the model's accuracy, metrics such as mean square error (MSE) and mean absolute error (MAE) will be used. Once the model is validated, the results will be presented through functional Python code, executed in tools such as Google Colab. The code will include instructions for running the model and visualizing the results, and a detailed guide will be provided to facilitate its use, even for users without experience in machine learning. This methodology ensures that the model is practical and applicable in real-world environments, helping organizations improve inventory management and sales forecasting using reliable data.Tipo de ítem: Ítem , Reising Ruta, explora y disfruta de los tesoros turísticos del departamento del Meta(2025-02-03) Hernandez Velásquez, Angy Valentina; Rojas Melo, Juan Sebastian; Gonzales, Jhon; Universidad Santo Tomas; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000036254; https://scholar.google.es/citations?hl=es&view_op=list_works&gmla=AJsN-F5zohUw5C2A9JrZhN_LLgbhJEobAkJwcBghpsujCe7U7vS5kwVNIpsgKtE0Pe5YOkRdr0GdoWsJW6br2WdjL_TFmGt4NIsspJDioQ-6YZxj4kpxILA&user=umj9l4sAAAAJ; https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000019947; https://orcid.org/0009-0002-9999-2822Reising Ruta focuses on the operation and commercialization of eco-adventure destinations to provide personalized tourist experiences in the Meta region. Our proposal stands out for its emphasis on authenticity and cultural immersion, prioritizing direct traveler connections with local communities and offering unique and memorable experiences. We differentiate ourselves by carefully selecting activities, suppliers, and local guides, ensuring the quality and authenticity of each experience. Our target audience is adventurous and culturally conscious travelers seeking to escape traditional tourist circuits and explore the true essence of the destination they visit. We have identified a growing demand for personalized and authentic travel experiences, which aligns perfectly with our value proposition. The Meta region offers unparalleled cultural and natural richness, providing an ideal setting for the development of our business. From a technical standpoint, we have a trained team with the necessary experience to develop operations and commercialize major destinations in the Meta department. Tourism Company, Colombia.