Mobile Application that Promotes Citizen Participation to Counteract Insecurity in the District of Los Olivos

Authors

  • Beatriz Ambrosio-Santiago Systems Engineer Program, Universidad de Ciencias y Humanidades, Lima-Perú
  • Paul Bravo-Macedo Systems Engineer Program, Universidad de Ciencias y Humanidades, Lima-Perú
  • Erick Elder Condeña-Yurarima Systems Engineer Program, Universidad de Ciencias y Humanidades, Lima-Perú
  • Enrique Lee Huamaní Image Processing Research Laboratory, Universidad de Ciencias y Humanidades, Lima Perú
  • Alexi Delgado Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima-Perú

DOI:

https://doi.org/10.37934/araset.31.3.358372

Keywords:

Citizen insecurity, mobile application, Scrum methodology

Abstract

Nowadays, in Peru, there are several problems, where crime is one of the most prominent; we see this reflected daily in the various criminal acts that occur in our capital city, which generates fear, distrust and insecurity in the population. For this reason, we propose the development of a mobile application that can provide relevant information on crime incidents occurring in the district of Los Olivos. The application has the function of notifying users and district authorities about incidents of citizen insecurity in order to generate various lines of communication, which, by being more efficient, provide an immediate response to these criminal acts, thus reducing crime rates in the district of Los Olivos. In addition, this application promotes citizen participation and empowers the population to be part of the decisions in public policies, it will also allow the Police of the Jurisdiction to take the necessary actions since they will have updated and accurate information on their mobile device. For the development of the mobile application was chosen the Scrum methodology because it allows greater efficiency in the development stages. Finally, its structure will be made with the Kotlin language, which will have the necessary Application Programming Interfaces (API's) and similar to Google Maps, to visualize and make use of these adding risk notifications about a crime in key locations, storing the information in a relational database for distribution through the virtual store of PlayStore applications.

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Author Biographies

Beatriz Ambrosio-Santiago, Systems Engineer Program, Universidad de Ciencias y Humanidades, Lima-Perú

beambrosios@uch.pe

Paul Bravo-Macedo, Systems Engineer Program, Universidad de Ciencias y Humanidades, Lima-Perú

pbravom@uch.pe

Erick Elder Condeña-Yurarima, Systems Engineer Program, Universidad de Ciencias y Humanidades, Lima-Perú

econdeñay@uch.pe

Enrique Lee Huamaní, Image Processing Research Laboratory, Universidad de Ciencias y Humanidades, Lima Perú

ehuamaniu@uch.edu.pe

Alexi Delgado, Mining Engineering Section, Pontificia Universidad Católica del Perú, Lima-Perú

kdelgadov@pucp.edu.pe

Published

2023-08-18

Issue

Section

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