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Automation of the Municipal Inspection Process in Ecuador Applying Mobile-D for Android

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1066))

Abstract

A municipality is an administrative entity that refers to a city. Ecuadorian municipalities regularly perform manual inspection processes in stores to calculate municipal charges. However, they have identified that these manual processes are time-consuming and have high costs. Also, the human mistakes existence in obtaining information from stores and the difficulty to manage the inspection processes themselves are problematic. In this context, it raises the technological needed of having real-time information from processes carried out for the municipality. Thus, the goal of this study is to automate the inspection process in economic activities at Ibarra – Ecuador municipality through the mobile app development using Mobile-D methodology. The MVC software architecture (Model, View, Controller) and the ScriptCase, Android Studio, PostgreSQL and REST web services tools were applied. The mobile app quality of use was evaluated by using ISO/IEC 25022 standard, and USE questionnaire (Usability, satisfaction, ease of use). And moreover, it was considered a Wilcoxon statistical analysis to verify the improvement of the automated process compared to manual. From results, it was observed that process automatization improved the information obtained at Ibarra municipality, and 84,32% was achieved with respect to the quality of use by considering the mobile app users.

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Correspondence to Cathy Guevara-Vega .

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Guevara-Vega, C., Hernández-Rojas, J., Botto-Tobar, M., García-Santillán, I., Basantes Andrade, A., Quiña-Mera, A. (2020). Automation of the Municipal Inspection Process in Ecuador Applying Mobile-D for Android. In: Botto-Tobar, M., León-Acurio, J., Díaz Cadena, A., Montiel Díaz, P. (eds) Advances in Emerging Trends and Technologies. ICAETT 2019. Advances in Intelligent Systems and Computing, vol 1066. Springer, Cham. https://doi.org/10.1007/978-3-030-32022-5_15

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