Dagas: A mobile and web-based disaster relief goods management system

Being situated in the pacific ring of fire, the Philippines is the third most disaster-prone in the world. Humanitarian relief operations, especially distribution, play a vital role in sustaining affected communities. Past relief operations conducted in the Philippines encountered the following prob...

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Main Authors: Chiu, Kenley Lewis Ting, Chua, Jet Orville Que, Lopez, Emil John David, Solis, Josef Lyle Huan
Format: text
Language:English
Published: Animo Repository 2022
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Online Access:https://animorepository.dlsu.edu.ph/etdb_ece/18
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1021&context=etdb_ece
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etdb_ece-10212022-12-20T01:15:06Z Dagas: A mobile and web-based disaster relief goods management system Chiu, Kenley Lewis Ting Chua, Jet Orville Que Lopez, Emil John David Solis, Josef Lyle Huan Being situated in the pacific ring of fire, the Philippines is the third most disaster-prone in the world. Humanitarian relief operations, especially distribution, play a vital role in sustaining affected communities. Past relief operations conducted in the Philippines encountered the following problems: oversupply, undersupply, lack of coordination, and inequitable distribution of goods. Given these, Dagas sought to solve these issues through an Android and React web application along with a web server that contains a database for the different elements and actors in a disaster relief operation (with QR codes) and a first-come, first-serve routing algorithm for recommending a supply distribution route of evacuation centers for donors. Both applications were connected to the server via an API designed using the Django REST Framework deployed in Heroku. The server's performance was measured using load testing benchmarks that measured response time, error rate, query profile, and server uptime, whereas the Android application was profiled using built-in tools in Android Studio. Three variations of the algorithm were developed and compared against one another, namely, a tabu-based algorithm, a genetic algorithm, and a greedy L-nearest neighbor algorithm. These were benchmarked by comparing their route distance and execution against an exact algorithm implementation with the CPLEX library, which showed that the tabu and genetic algorithms gave the most accurate results within a reasonable time range. Finally, the overall usability of the Android and React applications were measured using the software usability scale (SUS), both garnering a grade equivalent to A in SUS standards. 2022-12-01T08:00:00Z text application/pdf https://animorepository.dlsu.edu.ph/etdb_ece/18 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1021&context=etdb_ece Electronics And Communications Engineering Bachelor's Theses English Animo Repository Routing (Computer network management) Disaster relief Androids Electrical and Computer Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Routing (Computer network management)
Disaster relief
Androids
Electrical and Computer Engineering
spellingShingle Routing (Computer network management)
Disaster relief
Androids
Electrical and Computer Engineering
Chiu, Kenley Lewis Ting
Chua, Jet Orville Que
Lopez, Emil John David
Solis, Josef Lyle Huan
Dagas: A mobile and web-based disaster relief goods management system
description Being situated in the pacific ring of fire, the Philippines is the third most disaster-prone in the world. Humanitarian relief operations, especially distribution, play a vital role in sustaining affected communities. Past relief operations conducted in the Philippines encountered the following problems: oversupply, undersupply, lack of coordination, and inequitable distribution of goods. Given these, Dagas sought to solve these issues through an Android and React web application along with a web server that contains a database for the different elements and actors in a disaster relief operation (with QR codes) and a first-come, first-serve routing algorithm for recommending a supply distribution route of evacuation centers for donors. Both applications were connected to the server via an API designed using the Django REST Framework deployed in Heroku. The server's performance was measured using load testing benchmarks that measured response time, error rate, query profile, and server uptime, whereas the Android application was profiled using built-in tools in Android Studio. Three variations of the algorithm were developed and compared against one another, namely, a tabu-based algorithm, a genetic algorithm, and a greedy L-nearest neighbor algorithm. These were benchmarked by comparing their route distance and execution against an exact algorithm implementation with the CPLEX library, which showed that the tabu and genetic algorithms gave the most accurate results within a reasonable time range. Finally, the overall usability of the Android and React applications were measured using the software usability scale (SUS), both garnering a grade equivalent to A in SUS standards.
format text
author Chiu, Kenley Lewis Ting
Chua, Jet Orville Que
Lopez, Emil John David
Solis, Josef Lyle Huan
author_facet Chiu, Kenley Lewis Ting
Chua, Jet Orville Que
Lopez, Emil John David
Solis, Josef Lyle Huan
author_sort Chiu, Kenley Lewis Ting
title Dagas: A mobile and web-based disaster relief goods management system
title_short Dagas: A mobile and web-based disaster relief goods management system
title_full Dagas: A mobile and web-based disaster relief goods management system
title_fullStr Dagas: A mobile and web-based disaster relief goods management system
title_full_unstemmed Dagas: A mobile and web-based disaster relief goods management system
title_sort dagas: a mobile and web-based disaster relief goods management system
publisher Animo Repository
publishDate 2022
url https://animorepository.dlsu.edu.ph/etdb_ece/18
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1021&context=etdb_ece
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