Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023

Descripción del Articulo

In this article, the implementation of a web system was carried out to improve the process of technical supervision of incidents of a hydrocarbon regulatory company because time was lost in carrying out each process; this research was developed using the SCRUM methodology as it is an agile methodolo...

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Detalles Bibliográficos
Autores: Caceres Sanchez, Cynthia Elvia, Diburga Evangelista, Luis Alfredo, Cano Lengua, Miguel Angel, Rosas Culcos, Fredy Robert
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad Tecnológica del Perú
Repositorio:UTP-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.utp.edu.pe:20.500.12867/14636
Enlace del recurso:https://hdl.handle.net/20.500.12867/14636
https://doi.org/10.11591/eei.v14i1.7701
Nivel de acceso:acceso abierto
Materia:Hydrocarbons
Incidents
System
Process
https://purl.org/pe-repo/ocde/ford#5.02.04
Descripción
Sumario:In this article, the implementation of a web system was carried out to improve the process of technical supervision of incidents of a hydrocarbon regulatory company because time was lost in carrying out each process; this research was developed using the SCRUM methodology as it is an agile methodology and adapted to our research. Using the process, events and artifact, it was possible to design the prototypes of the system, architecture, and database. Finally, the implementation was carried out among other important points obtained as results; the average level of optimization of the incident assignment process, derived from the observations, is 91.05% efficiency in assigning incidents to specialists. Regarding the 95% confidence interval for this indicator, it is between 88.98% and 93.11% efficiency, representing two standard deviations with respect to the mean. Regarding the average response time to incidents in all states, obtained from observations, it is 15 days. The 95% confidence interval for this indicator ranges between 14 and 18 days, which represents two standard deviations from the mean. The system is intuitive and not complex. With the implementation of the web system, processes are automated and end user satisfaction is obtained.
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