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...
| Autores: | , , , |
|---|---|
| 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 |
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| dc.title.es_PE.fl_str_mv |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 |
| title |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 |
| spellingShingle |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 Caceres Sanchez, Cynthia Elvia Hydrocarbons Incidents System Process https://purl.org/pe-repo/ocde/ford#5.02.04 |
| title_short |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 |
| title_full |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 |
| title_fullStr |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 |
| title_full_unstemmed |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 |
| title_sort |
Web system to enhance technical supervision of incidents at the hydrocarbons regulatory institution in Lima–2023 |
| author |
Caceres Sanchez, Cynthia Elvia |
| author_facet |
Caceres Sanchez, Cynthia Elvia Diburga Evangelista, Luis Alfredo Cano Lengua, Miguel Angel Rosas Culcos, Fredy Robert |
| author_role |
author |
| author2 |
Diburga Evangelista, Luis Alfredo Cano Lengua, Miguel Angel Rosas Culcos, Fredy Robert |
| author2_role |
author author author |
| dc.contributor.author.fl_str_mv |
Caceres Sanchez, Cynthia Elvia Diburga Evangelista, Luis Alfredo Cano Lengua, Miguel Angel Rosas Culcos, Fredy Robert |
| dc.subject.es_PE.fl_str_mv |
Hydrocarbons Incidents System Process |
| topic |
Hydrocarbons Incidents System Process https://purl.org/pe-repo/ocde/ford#5.02.04 |
| dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#5.02.04 |
| description |
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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2025 |
| dc.date.accessioned.none.fl_str_mv |
2025-11-13T18:44:47Z |
| dc.date.available.none.fl_str_mv |
2025-11-13T18:44:47Z |
| dc.date.issued.fl_str_mv |
2025 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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article |
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2302-9285 |
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https://hdl.handle.net/20.500.12867/14636 |
| dc.identifier.journal.es_PE.fl_str_mv |
Bulletin of Electrical Engineering and Informatics |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.11591/eei.v14i1.7701 |
| identifier_str_mv |
2302-9285 Bulletin of Electrical Engineering and Informatics |
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https://hdl.handle.net/20.500.12867/14636 https://doi.org/10.11591/eei.v14i1.7701 |
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eng |
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eng |
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https://creativecommons.org/licenses/by-sa/4.0/ |
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Institute of Advanced Engineering and Science |
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Caceres Sanchez, Cynthia ElviaDiburga Evangelista, Luis AlfredoCano Lengua, Miguel AngelRosas Culcos, Fredy Robert2025-11-13T18:44:47Z2025-11-13T18:44:47Z20252302-9285https://hdl.handle.net/20.500.12867/14636Bulletin of Electrical Engineering and Informaticshttps://doi.org/10.11591/eei.v14i1.7701In 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. 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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).