Cloud Computing model is a new advanced technological trend that allows applications to be outsourced over the Internet and offers promising business advantages for small and medium-sized companies. This study analyzes and evaluates the adoption of Cloud Computing in a case study, the public company Caja de Jubilaciones y Pensiones del Personal de la Administración Nacional de Electricidad de Paraguay (Caja ANDE). The concepts of Total Cost of Ownership (TCO) and Return on Investment (ROI) are used. In this paper compares the estimated costs of the biggest cloud platforms such as Amazon Web Services(AWS), Microsoft Azure and Google Cloud Platform(GCP). It can be seen in the results of this research a return on investment higher than 45%. It is verified that Cloud Computing is a convenient model for the institution, in the current context of technologies, which was promoted during the pandemic, emphasizing the importance of online services through the Internet and supported by the new laws of Digital Services and Teleworking Modality.

Cloud Computing model is a new advanced technological trend that allows applications as services to be outsourced over the Internet and offers promising business advantages for small and medium-sized companies. This study proposes to analyze the convenience of adopting the Cloud Computing model in La Caja de Jubilaciones y Pensiones del Personal de la Administración Nacional de Electricidad de Paraguay (Caja ANDE). For the economic justification that supports the investment, the concepts of Total Cost of Ownership (TCO) and Return on Investment (ROI) are used. The research strategy used was the Case Study and its design is of a single case, of a public company, taking into account its point of view, which intends to adopt this new computing paradigm. It can be seen in the results of this research estimated savings of 302.799,95 USD and a return on investment of 136% for Caja ANDE after 5 years. It is verified that Cloud Computing is a convenient model for the institution, in the current context of technologies, which was promoted during the pandemic, emphasizing the importance of online services through the Internet and supported by the new laws of Digital Services and Teleworking Modality recently sanctioned in Paraguay.

The retail companies are in a constant struggle to maintain and raise their profits as well as to offer the services and products the clients wish to acquire. In order to achieve this, they are in an ongoing search for strategies for decision making that produce positive values for the business. To reach this goal, and to get clear and efficient strategies, possessing a large amount of data gathered on the commercial transactions, the need to analyze in an intelligent way the aforementioned data arises, extracting useful knowledge to support the decision making and an understanding of the association patterns that take place in the sales-clients behavior. This research has the objective of execute the search for patterns applying data mining techniques to find new and better Association Rules on the database of a retail company, using the data provided by them and the Data Mining tool: Orange Canvas employing the FP-Growth algorithm.

This work proposes a solution to the problem of management automation in the Emergency Department of the Hospital de Clínicas of the National University of Asunción. This tool will generate benefits for both the patient and the hospital's target staff, since by computerizing the processes, which is still done manually, there will be more time to dedicate better care to the patient and doctors could spend part of their time analyzing the statistics and information, that can be generated through the application to carry out investigations in the emergency care area, as well as optimize the resources of both, the staff and the logistics used in the Hospital. To achieve the main objective of this work, an application based on international health standards has been developed, as well as good practices in the care processes in an extremely sensitive area such as the Emergency Department. With this application it is possible to innovate in the Emergency Department, given that after more than 100 years of history of the Hospital, for the first time it intends to automate processes and generate online information quickly and efficiently from this modern tool optimizing attention to patients in the emergency area.

TapeYty is a tool developed to calculate optimal paths for urban garbage collection vehicles in the Asuncióon city. This tool generates benefits mainly in the economic and environmental aspects of the city where a large number of people brings a high generation of waste. This makes the complexity of garbage management even greater. The routing problem is treated as the open rural postman problem which seeks to minimize the distance to be traveled by the collection vehicles. To achieve the objective TapeYty is based on mathematical programming techniques and Geographical Informatiom System (GIS) tool which allows the management of the route network, being able able to update the road way and their state of blocked or nonblocked. This implies that when changes of state of the streets TapeYty modifies the graph that represents the road network and re-calculates the solutions providing new optimal routes to each vehicle of collection. The tool has provided solutions that save on average 20% of distance traveled compared to current tour.

This paper proposes a solution to the problem of automated management of Acute Lymphoblastic Leukemia (ALL) in children that are being treated at the Hospital de Clínicas (HC) which belongs to the Faculty of Medical Sciences of the National University of Asunción (FCM-UNA). For this purpose, we are proposing the design and implementation of a computer application called Pediatric Hemato-Oncological Protocols Automation (APHOPe), which facilitates obtaining information and managing the implementation of the procedure protocols and hematological and oncological treatment used in the Pediatric Hemato-Oncology Department (HOPe). APHOPe can provide statistical data and applied treatments so the effectiveness-efficiency relation of the global and particular protocols for each patient can be analyzed. In this context, APHOPe allows the generation of various Ad Hoc protocols depending on the treatment needs of the medical personnel. In this stage the system provides the 2008 Protocol LLA which is a variant of the Berlin-Frankfurt-Munster Protocol. The usability and acceptability tests indicate that the proposed system is an effective and flexible tool for the automated management of the hemato-oncological protocols.