The study assessed the relationship between business intelligence and supplier payment timeliness in the Metropolitan Solidarity System, San Isidro, Lima, 2024. Through surveys of 30 public servants and statistical analysis, including linear regression, it was found that there is no significant relationship between the two variables, leading to the rejection of the alternative hypothesis. Regression coefficients B0 = 1.600 and B1 = 0.050 with a p-value of 0.000 indicated a very weak relationship. The Pearson correlation test showed a slight negative correlation (-0.018). Analysis revealed that 23.3% of respondents perceived a moderate relationship between business intelligence and supplier payment timeliness. The dimensions of technological and functional maturity showed medium levels of relationship, while organizational maturity scored low. Limitations such as lack of familiarity with the concept of business intelligence and potential cognitive biases were identified, suggesting the need to enhance understanding and utilization of this tool within the evaluated entity. In conclusion, business intelligence was not a determining factor in supplier payment timeliness. Exploring other influencing factors and improving the integration of business intelligence into organizational culture are recommended for future research.

The low adoption of the BIM methodology in multifamily projects gave us a push to create a preliminary plan and improve the traditional management of a multifamily building through BIM, highlighting its functionalities and advantages to optimize deadlines in the Villamar 131 project. The study is carried out in a residential complex in San Miguel, Lima; evaluating and validating variables using a Likert scale with responses from experts who implement this methodology, obtaining previous results to begin with the creation of the BIM Execution Plan (PEB), to later be applied in three managements of the case study. As a result, the PEB reduced interferences using various software such as Revit (3D modeling) with Navisworks (interferences); Likewise, Lean Construction tools such as Visual Management and Last Planner System were integrated, which improved deadlines in milestone times obtaining 13.49% and activities 27.51%. Thus concluding that the BIM implementation generates the optimization of times and improves management with those involved in the project, thus giving positive results.

The objective of this research was to carry out the structural analysis and design of confined masonry of a 5-story multifamily building, El Porvenir district - Trujillo 2024. According to the problems of self-construction without seismic analysis and structural design, the specific objectives to be analyzed were proposed. Starting with the topographic study of the terrain, giving the coordinates, to create the location and location plan; Then the soil study was determined, by extracting the sample, to be subsequently analyzed in the laboratory, which resulted in the bearing capacity of 0.86, being a soil made up of poorly graded sand with mustard-colored, odorless gravel (SP). The architectural design continued in accordance with standards A.010 and A.020. Next, the structural analysis was carried out using static and dynamic earthquake loads, determining lateral displacements, which were lower than the allowable distortion of 0.005. Finally, the design of the structural elements was carried out, such as the walls, beams, columns, slabs, and the foundation.

This study aimed to enhance the compressive strength of concrete blocks by incorporating recycled glass and Zmembrana. The primary objective was to investigate the influence of both additives on the compressive strength of concrete blocks. The methodology employed was quantitative, applied, and quasiexperimental in nature. The sample consisted of 144 concrete blocks with varying percentages of recycled glass (0%, 10%, 15%, and 20%) and Zmembrana layers (0, 1, 2, and 3). The blocks were cured for 7, 14, and 28 days and subjected to compressive strength tests. The highest compressive strength was achieved at 28 days of curing for concrete blocks with 15% recycled glass and 1 layer of Zmembrana applied with a brush after demolding, reaching a strength of 53.20 kg/cm². The results demonstrate the beneficial effects of incorporating recycled glass and Zmembrana in enhancing the compressive strength of concrete blocks

Currently in the department of administration of patrimonial control the lack of use of technologies to perform the inventory and verify the registered movable goods is visualized, reason for which can produce the disorder of the information and its subsequent loss. Therefore, the objective of this research is to develop a mobile application to improve the inventory taking process. This is why a graphical interface was developed that allows the verification and registration of movable assets, this interface is based on App Inventor which is a visual block environment, created for the development of mobile applications, which resulted in a 93.75% satisfaction rate, 100% accuracy when requesting information from the Firebase and a latency of 142.3 ms when verifying the information, which allows concluding that the mobile application is usable, correctly verifies a movable asset and the application can perform remote monitoring on a constant basis.

This research explores and evaluates the application of Machine Learning techniques in the field of agriculture, with a particular focus on mango cultivation and production. The research addresses traditional challenges in the identification, classification, and detection of diseases in mango crops, areas where manual assessments have proven to be error-prone and subjective. The paper highlights how advanced techniques, such as convolutional neural networks and transfer learning, have significantly improved accuracy and efficiency in these critical processes, overcoming the limitations of traditional methods. Several methodologies are presented, ranging from automatic fruit identification using computer vision to non-destructive fruit quality assessment using colour and X-ray images. The results show that the implementation of these technologies has led to an improvement in quality standards and product competitiveness in global markets, consolidating ML as an indispensable tool for the sustainable development of mango cultivation. In conclusion, the study underlines the need to integrate advanced technologies in agriculture to improve both efficiency and quality of mangoes, suggesting that these innovations are key to address contemporary challenges in agricultural production.