Análisis comparativo para medir la eficiencia de desempeño entre una aplicación web tradicional y una aplicación web progresiva

Llamuca-Quinaloa, Jhonatan; Vera-Vincent, Yasmani; Cerda, Verónica Del Consuelo Tapia

doi:10.22430/22565337.1892

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…A PWA, or Progressive Web Application, is a technology based on the conventional web and uses browser resources and modern APIs to enhance the user experience. Some of its features include the ability to run offline, update automatically, access device resources, and be installable, among other advantages, 8.…”

Section: Pwamentioning

confidence: 99%

Fighting moniliasis in Orellana with sensors and PWA for sustainable agriculture

Urquizo,

Jiménez,

Aguilar

et al. 2024

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The primary objective of this research was to enhance cocoa production and quality in tropical countries, such as Latin America and Africa, where cocoa cultivation plays a pivotal role in the economy of rural communities. The primary challenge addressed in this study was moniliasis, a fungal disease that affects cocoa fruits and leads to a significant decline in crop production and quality. A multidisciplinary approach was employed to tackle this issue, combining sensors, MongoDB Compass databases, Progressive Web Applications (PWAs), and predictive models. A research methodology incorporating predictive analysis techniques, particularly the logistic regression method, was utilized to achieve early detection and efficient management of moniliasis. Data collection instruments included sensors monitoring vital environmental factors like humidity and temperature alongside MongoDB Compass databases for storing and managing the gathered data. Furthermore, a PWA was developed for real-time data collection and analysis. The results of implementing this sensor-based tool in cocoa cultivation were highly effective. Early detection of moniliasis allowed for more precise preventive and corrective measures, resulting in a significant improvement in cocoa production and quality. These results were substantiated with concrete data demonstrating the tool's efficacy. Keywords. Data Prediction: Models and Applications; Efficient MongoDB Database Management; High-Quality Cocoa; Moniliasis: Treatment and Prevention; Progressive Web Apps (PWA): User Experience.

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Section: Pwamentioning

confidence: 99%

Fighting moniliasis in Orellana with sensors and PWA for sustainable agriculture

Urquizo,

Jiménez,

Aguilar

et al. 2024

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“…Es un conjunto de tecnologías que configuran una interfaz para la programación de aplicaciones en internet (Llamuca-Quinaloa et al, 2021).…”

Section: Api Para Desarrolladoresunclassified

Datos abiertos y gobierno abierto en los gobiernos regionales y locales del Perú

2022

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El objetivo de la investigación es realizar una revisión de la literatura para establecer un marco de referencia teórica de la implementación de datos abiertos en las estrategias de gobierno abierto en el Perú. Para el desarrollo del presente artículo se realizó una revisión sistemática de la literatura científica, se tomaron en cuenta artículos de la base de datos de Scopus entre los años 2017 y 2021. Como resultado de este estudio se determinó que existe 1 gobierno regional y 4 gobiernos locales que han implementado sus portales de datos abiertos esto representa el 0.26% del nivel de cumplimiento, además, el nivel de cumplimiento de la dimensión de transparencia del gobierno abierto es de 38.16%. Se concluye que la Municipalidad Metropolitana de Lima cumple con todos los principios de los datos abiertos y posee una completa implementación en todas las categorías, los cuales puedes ser accedidos en diferentes formatos.

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Fighting moniliasis in Orellana with sensors and PWA for sustainable agriculture

Urquizo,

Jiménez,

Aguilar

et al. 2024

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The primary objective of this research was to enhance cocoa production and quality in tropical countries, such as Latin America and Africa, where cocoa cultivation plays a pivotal role in the economy of rural communities. The primary challenge addressed in this study was moniliasis, a fungal disease that affects cocoa fruits and leads to a significant decline in crop production and quality. A multidisciplinary approach was employed to tackle this issue, combining sensors, MongoDB Compass databases, Progressive Web Applications (PWAs), and predictive models. A research methodology incorporating predictive analysis techniques, particularly the logistic regression method, was utilized to achieve early detection and efficient management of moniliasis. Data collection instruments included sensors monitoring vital environmental factors like humidity and temperature alongside MongoDB Compass databases for storing and managing the gathered data. Furthermore, a PWA was developed for real-time data collection and analysis. The results of implementing this sensor-based tool in cocoa cultivation were highly effective. Early detection of moniliasis allowed for more precise preventive and corrective measures, resulting in a significant improvement in cocoa production and quality. These results were substantiated with concrete data demonstrating the tool's efficacy. Keywords: Data Prediction: Models and Applications; Efficient MongoDB Database Management; HighQuality Cocoa; Moniliasis: Treatment and Prevention; Progressive Web Apps (PWA): User Experience.

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Análisis comparativo para medir la eficiencia de desempeño entre una aplicación web tradicional y una aplicación web progresiva

Cited by 5 publications

References 12 publications

Fighting moniliasis in Orellana with sensors and PWA for sustainable agriculture

Fighting moniliasis in Orellana with sensors and PWA for sustainable agriculture

Datos abiertos y gobierno abierto en los gobiernos regionales y locales del Perú

Fighting moniliasis in Orellana with sensors and PWA for sustainable agriculture

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