Conference Agenda

Access to and control of water represents a global challenge, aggravated by the scarcity of accessible tools for its management. Therefore, the objective of this research was to determine how a system influences the efficient control of water in homes. The study was based on a pre-experimental design, to include a population of 140 households in the city of Cajamarca and a non-probabilistic convenience sample of 10 households, which shows problems in the management of water resources and the insufficient tools available for this purpose. The results showed that the precision in measuring water resources through the system improved significantly, going from a value of 3.3 to 4.6, in addition to eliminating the error rate in said measurements and optimizing detection and response times at critical water levels. In conclusion, it is determined that the System composed of a mobile application and hardware positively influenced the efficient control of water in homes.

Milk characterization is essential for the industrialization and production of high-quality dairy products. This study aimed to determine the physicochemical characteristics of bovine milk in dairy herds located in the municipality of Juticalpa, across various communities. A sample of 18 herds was selected. Field visits were carried out between February and August 2024 to analyze the presence of mastitis in each cow. The California Mastitis Test (CMT) was used to detect subclinical mastitis, and the results were recorded on a report sheet for later tabulation in a database. From each herd, a milk sample was collected and analyzed in triplicate at the dairy laboratory of the National Autonomous University of Honduras (UNAH) Olancho Campus to assess its physicochemical properties. The results showed that the highest milk production occurred in the community of La Concepción, where cows produced over 10 liters of milk per day. Mastitis was found to be prevalent across all herds: 77.77% of the herds showed evidence of the disease, and milking was done manually. Additionally, in some herds, mastitis prevalence ranged from 81 to 100% of the cows. Regarding physicochemical parameters, only fat content, and pH met the minimum standards established by Honduran milk regulations.

This project proposes a smart, portable traffic light system based on IoT technology to optimize vehicle flow in construction zones in Arequipa, Peru. Traditional manual traffic control methods, such as "Stop" and "Go" signs, are inefficient and lead to congestion, delays, and safety risks. The proposed solution consists of two wirelessly synchronized portable traffic lights equipped with computer vision cameras (Raspberry Pi + OpenCV) for real-time traffic analysis. Each unit features a mobile wheeled structure, vibration and gyroscope sensors for anti-vandalism detection, and LoRa modules for long-range communication. The system is powered by four 100W solar panels and rechargeable batteries, ensuring 48 hours of autonomous operation. A mobile app allows remote monitoring and manual control. Field surveys revealed that 60% of drivers experience high stress due to construction-related traffic, with 93% reporting significant delays. The system is projected to reduce wait times by 20%, addressing inefficiencies in current methods. Cost analysis shows comparable expenses to hiring flaggers (10,130 vs. 9,600 Peruvian soles for 4 months), but with long-term savings due to reusability and automation. The solution is technically viable, socially accepted, and scalable to other regions with similar challenges.

The objective of this research is to design a software for the online reservation of the oil change service in the company. Initially, the business case analysis of the project was carried out, divided into technical, administrative, and cost sections, the project was defined under the waterfall methodology together with the charter and both the registration and analysis of interested parties were carried out. Also, the EDT/WBS task decomposition structure and dictionary were designed, the network diagram with the critical path was generated in the Ganntpro program and the probability scales were defined. On the other hand, each work package was costed economically, and each stage was budgeted. In addition to this, the breakdown structure, records, assessment was managed, and the response plan was specified. In addition, a respective organizational chart of roles was designed along with the responsibility’s assignment matrix. In addition, the status and closure report of the project was presented with the certificate of acceptance of deliverables. Finally, the identification of lessons learned is managed, concluding that the project was carried out pleasantly, identifying that the project would have variability and positive application.

Effective management of public safety requires a deep understanding of crime dynamics. This study presents a spatio-temporal analysis of crime in the Constitutional Province of Callao, Peru, using data from official reports from February 2024. Using a quantitative approach, descriptive analysis and spatial data mining techniques were applied to characterize criminal activity. The methodology included Kernel Density Estimation (KDE) for the visual identification of hotspots and the DBSCAN clustering algorithm for the detection of criminal clusters. The results showed a high concentration of crime, with the districts of Callao Cercado and Ventanilla accounting for almost 80% of incidents. Distinctive crime profiles were identified: the prevalence of property crimes in Callao Cercado and a high incidence of gender-based violence in Ventanilla. Spatial analysis identified statistically significant clusters, highlighting one with 317 incidents in Callao Cercado. It was concluded that crime is not random but follows defined geographical patterns. These findings provide actionable intelligence for the design of targeted patrolling strategies and prevention policies adapted to each territorial reality.

This study analyzes the implementation of continuous improvement tools in a video game rental microenterprise in Peru, aiming to optimize processes by reducing defects, waiting times, and waste. In a context where research in this sector is scarce, operational and cost efficiency are crucial for small businesses to maintain quality and profitability in a highly competitive market. While Lean methodologies have improved services in other industries, their application in video game rental remains underexplored. Inspired by Rodríguez & Álvarez (2021), who applied Poka Yoke, 5S, VSM, Suggestion Systems, and Hoshin Kanri in an environmental consulting firm—reducing cycle time by 56.55%—this pilot study demonstrates notable improvements in key indicators. The cost of sales as a percentage of revenue decreased from 44.10% to 41.50%, and the service error rate dropped from 39.51% to 27.30%. Average downtime per event fell from 87.5 to 54.3 minutes, while rework due to detected failures decreased from 8.58% to 2.10%. These results highlight the potential of Kaizen and Poka Yoke to enable more agile and efficient operations, directly impacting profitability and customer satisfaction. The findings suggest that structured application of these methodologies could be replicated in other entertainment businesses to enhance competitiveness through process optimization.