Electronic banking emerged as a result of the increase in customer demand as an easily accessible alternative channel, which saves time on their physical travel, and it is important that the customer feel confident and that this channel meets their needs. Banking applications can generate latent risks if they have not been properly implemented, thus generating a bad perception of bank services in general. For this reason, in the literature there are various studies on the application of quality models in various areas, but they have not been applied to Peruvian electronic banking, for this reason, in this paper, we propose a quality model in use for portable web banking. In Peru that allows to know the perception when using the electronic channel. The model consists of 6 characteristics and 11 sub characteristics, which were obtained by the assessment of experts in electronic banking. To...

In the present study, a serious game based on gamification techniques was developed to motivate the learning of mathematical topics seen in the last academic grade of Peruvian high schools. The proposed game was developed for mobile devices and uses a cloud-based web infrastructure. In addition, gamification techniques such as avatar, levels, progress indicators and rewards were used for its design. A total of 14 students participated in the experiment and qualitative data were collected through a questionnaire. The results showed that the selected gamification techniques were very effective in motivating learning, the serious game had a good user experience, and the students were satisfied with the learning experience of the game.

The delivery of products on time while reducing transportation costs has become an issue for retail companies in Latin America due to the rise of the e-commerce market in recent years. The Vehicle Routing Problem (VRP) is one of the most studied topics in operations research. This work addresses the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW). The problem focuses on finding optimal routes for each vehicle to serve customers on time and minimal transportation costs under capacity and time constraints. Previous research has addressed the issue by proposing non-exact and exact techniques. This paper aims to select a proper approach and algorithms to present a model to solve the CVRPTW in real-world scenarios by incorporating a Google distance matrix, the empirical knowledge of delivery zones, and a solution relatively easy to deploy in a cloud environment. The proposed mo...

Given the current situation of online classes, it is necessary to implement a Business Architecture model in order to facilitate the adaptation of virtual teaching, since 97.4% of teachers give up the use of information systems for learning. In addition, up to 80% of students experience stress with this new modality of learning. Based on this context, we can identify the gap in the adaptation to the virtual class process as a latent problem. Therefore, a model composed of 3 stages (Analysis, design, and validation) is proposed. Stage 1 includes the analysis of components on which the model will be developed. Stage 2 describes the Open Group Architecture Framework (TOGAF) on which the model will be developed, and the Discover, Learn, Practice, Collaborate, and Assignment (DLPCA) e-learning Methodology as the basis of the business process to be proposed. Finally, in stage 3, the model was ...

During the last decade, there has been an increase in the demand of mobile apps in different download platforms, like Google Play Store, Apple App Store and Amazon App Store. Because of this, different approaches related to mobile app quality have surged, which tend to focus on assessing the general quality of an app without focusing on a specific sector. Because of this reason, the motivation to develop a quality model for mobile apps for the educational sector arises, using the System and Software Quality Requirements and Evaluation (SQuaRE) guidelines and the Analytic Hierarchy Process (AHP) weighting technique; the latter was used to prioritize the quality attributes. A quality model has been obtained, which consists of 8 characteristics, 19 sub-characteristics and 30 metrics. In order to corroborate the proposed model, 4 research questions and 2 case studies related to 2 mobile apps...

In the current context of increasing cyber threats to Latin American IT service providers, the cost of data breaches is expected to increase 31% by 2023, which highlights the urgency of strengthening security practices. Therefore, it is proposed to improve maturity in access management, with the development of a model based on ISO/IEC 27001:2022 designed for Peruvian IT service providers. The study consists of three stages: analysis, design, and validation. In the first stage, a comparative analysis is made between success factors, cybersecurity aspects, maturity models and access management mechanisms. The second and third stages cover the model building phases according to De Bruin's methodology. In the second stage, the evaluation scope, and the level structure according to CMMI are defined as well as the criteria of the model where the evaluation is based on a user life cycle, type o...

Dental cavities represent a significant global health challenge, particularly in low-and middle-income countries, where early detection and diagnosis can substantially improve clinical outcomes. This study presents the development of a mobile application that utilizes YOLOv7 to detect early carious lesions on intraoral images, intending to provide dental professionals with a tool for timely diagnosis and intervention. The research was carried out in three key phases: analysis of YOLOv7, system development, and validation. The application was trained in a real clinical environment in Peru in collaboration with two independent dentists and their patients in two private clinics. Intraoral images were collected and processed from 40 participants, ensuring complete adherence to the ethical and privacy standards required for clinical studies. The experimental results demonstrated that the appl...

During the COVID-19 pandemic, virtual education played a significant role around the world. In post-pandemic Peru, higher education institutions did not entirely dismiss the online education modality. However, this virtual education system maintains a traditional teaching-learning model, where all students receive the same content material and are expected to learn in the same way; as a result, it has not been effective in meeting the individual needs of students, causing poor performance in many cases. For this reason, a framework is proposed for the adaptive learning of higher education students in virtual classes using the Cross-Industry Standard Process for Data Mining (CRISP-DM) and Machine Learning (ML) methodology in order to recommend individualized learning materials. This framework is made up of four stages: (i) Analysis of student aspects, (ii) Analysis of Learning Methodology...

Smartphone addiction has emerged as a growing concern in society, particularly among teenagers, due to its potential negative impact on physical, emotional social well-being. The excessive use of smartphones has consistently shown associations with negative outcomes, highlighting a strong dependence on these devices, which often leads to detrimental effects on mental health, including heightened levels of anxiety, distress, stress depression. This psychological burden can further result in the neglect of daily activities as individuals become increasingly engrossed in seeking pleasure through their smartphones. The aim of this study is to develop a predictive model utilizing machine learning techniques to identify smartphone addiction based on the "Big Five Personality Traits (BFPT)". The model was developed by following five out of the six phases of the "Cross Industry Standard Process ...

In the current digital era, efficiently accessing relevant information is crucial for various applications such as restaurant recommendation systems, website searches, book recommendations, among others. This study presents an approach for personalized recommendations in improving the customer service process in restaurants using OpenAI's Contextual Chatbot. The approach consists of six phases: (1) Data preprocessing, (2) Embedding and storage, (3) Scheduled updating, (4) Document retrieval, (5) Context adaptation and request creation, and (6) Response generation. OpenAI's text embeddings are used to convert application data into vectors and store them in a vector database. These vectors are used to retrieve similar records and generate contextualized responses using the GPT-3.5 model. The chatbot's performance is evaluated in terms of accuracy and user satisfaction. Two scenarios were u...

Courier services face substantial customer satisfaction and operational efficiency challenges, exacerbated by traditional processes marred by lack of transparency, delays and the need for intermediary interventions. The need to efficiently manage refunds in situations such as loss, damage or delay is essential to maintain customer satisfaction and service integrity. Therefore, the present study proposes a framework to automate reimbursement in Courier services in Peru by applying Blockchain technology. The proposed framework is composed of 3 phases: (1) Elaboration of the Blockchain technology structure, (2) Creation of smart contracts and (3) Design of web applications. Blockchain technology is used to ensure decentralization and automation. The proposed framework was validated by 2 experts and 10 users by applying 2 experiments and a survey based on expert opinion. The results indicate...

In the Peruvian financial sector, deficiencies persist in customer service training due to inadequate comprehension of work motivation and the absence of suitable incentives, reflective of concerns regarding skill shortages and operational inconsistencies among employees. This study proposes a gamification framework tailored to enhance the training of Customer Service advisors within financial entities, addressing the gap in specific training models for this crucial sector. Through analysis, design, and validation stages, the research scrutinizes existing methodologies and implements the framework within a financial Contact Center, yielding impressive results. Notably, a remarkable 85% reduction in training time (from 60 to 8.80 minutes) while maintaining consistent evaluation scores with a 1% increase, alongside a noteworthy 13% decrease in average evaluation duration, underscores the f...

Many homes in the country of Peru, especially those located in unofficial settlements, are not connected to public service networks, and in the case of residential water, require tanker truck delivery. However, this water has often been contaminated from the upstream storage, conveyance and delivery systems that provide it, and thus will not comply with government water quality standards, ultimately compromising the health of the people who rely on it. While the topic of quality monitoring in traditional water networks has been studied, research has not focused on water quality control in under-developed and under-served unofficial settlements. This study introduces an IoT architecture and web-based system for real-Time monitoring of the key water quality parameters to help municipalities and other government entities to act early when large volumes of low-quality water are detected. The...

The health sector around the world faces the continuous challenge of improving the services provided to patients. Therefore, digital transformation in health services plays a key role in integrating new technologies such as artificial intelligence. However, the health system in Peru has not yet taken the big step towards digitising its services, currently ranking 71st according to the World Health Organisation (WHO). This article proposes a learning health system for the management and monitoring of private health services in Peru based on the three key components of intelligent health care: (1) a health data platform (HDP); (2) intelligent technologies (IT); and (3) an intelligent health care suite (HIS). The solution consists of four layers: (1) data source, (2) data warehousing, (3) data analytics, and (4) visualization. In layer 1, all data sources are selected to create a database. ...

Caring for geriatric small-breed dogs with heart disease from home is a challenge due to the lack of technological tools available in the market, specifically in South America. This lack limits the quality of life of these canine companions and hinders early detection of cardiac problems. Heart disease is common in geriatric dogs of small and medium breeds and the lack of accurate information about their health prevents proper care. In this study, a technological solution based on an IoT device is proposed for monitoring geriatric cardiac dogs in Peru. The device allows measuring temperature and heart rate and recording electrocardiograms in real time for early detection of cardiac problems in pets. For the development of the technological solution, a methodology based on four phases was applied: (1) Analysis of IoT devices, (2) Construction of IoT devices, (3) System construction and (4...

Indexed keywords Sustainable Development Goals SciVal Topics Abstract Hypertension has been a silent disease that has affected a large part of the world population; in 2022, 5.5 million cases were registered in Peru. Current treatments show an inadequate control of this disease. Therefore, a framework is proposed to build an application for remote monitoring of hypertensive patients using technologies such as smartwatches and artificial intelligence of GPT, considering the diagnostic methodologies of hypertension used in the world, physiological variables and the implementation of GPT-4 as an assistant for the correct treatment of hypertension. The methodology was followed: selection of measurement techniques, selection of physiological variables, selection of the smartwatch model, implementation of GPT-4 and construction of a mobile application. The experimentation had two scenarios: (a...

Tooth decay is a global challenge due to lack of dental care and excessive sugar consumption. These generate expensive dental treatments and affect quality of life, self-esteem, and productivity. Due to this, an approach is proposed for the detection of carious pre-lesions through dental image processing and using 2 Deep learning architectures most used in the literature: YOLOv7 and Faster RCNN. The approach is developed in 4 phases: (i) acquisition of the dataset, (ii) development of architectures, (iii) performance evaluation and (iv) analysis of results. Both architectures focus on the use of a public dataset composed of a total of 9,327 images of Intraoral Photographs classified into 3 classes: “teeth with cavities” (0), “teeth without cavities” (1) and “teeth with amalgam” (2). A web system was built with the model that had the best performance. The results showed that t...