Authors :
Heherson B. Albano; Marifel Grace C. Kummer
Volume/Issue :
Volume 6 - 2021, Issue 12 - December
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/33fLVcD
Abstract :
GIS Technology provides a systematic spatial
and attribute representation and has been a tool to solve
complex problems in spatial data analysis. Aquaculture
farm data collection and assessing the suitability of
various site locations are unique problems in
aquaculture farm information management. The
research aims to create a system that will aid
information management of aquaculture farms on
decision-making by improving data processing to
provide accurate information, automating data
organization, and collecting spatial data for analysis. The
system can compare the spatial data generated to the
region's actual distribution of aquaculture farms. The
study used descriptive methods such as interviews,
observations, field visits, and data collection to address
challenges associated with the collection of non-spatial
and spatial data. The software development process uses
the Scrum framework as a guide during the system's
development. The developed system used the GMapGIS
application, integrated with the Visual Basic.Net
framework and SQL Server creation of the database.
The point pattern analysis technique was applied to
determine the most general commodities and culture
type to establish the point locations of the various
aquaculture farms. The application used a network of
interconnected clients to connect to the central server.
The general assessment of the developed system gave
"very great extent" of compliance based on the user-end
evaluation in terms of the ISO/IEC 25010 Software
Quality Standards and a 5-point Likert Scale.
Keywords :
GIS, Spatial Data Analysis, Aquaculture Farm, Information Management.
GIS Technology provides a systematic spatial
and attribute representation and has been a tool to solve
complex problems in spatial data analysis. Aquaculture
farm data collection and assessing the suitability of
various site locations are unique problems in
aquaculture farm information management. The
research aims to create a system that will aid
information management of aquaculture farms on
decision-making by improving data processing to
provide accurate information, automating data
organization, and collecting spatial data for analysis. The
system can compare the spatial data generated to the
region's actual distribution of aquaculture farms. The
study used descriptive methods such as interviews,
observations, field visits, and data collection to address
challenges associated with the collection of non-spatial
and spatial data. The software development process uses
the Scrum framework as a guide during the system's
development. The developed system used the GMapGIS
application, integrated with the Visual Basic.Net
framework and SQL Server creation of the database.
The point pattern analysis technique was applied to
determine the most general commodities and culture
type to establish the point locations of the various
aquaculture farms. The application used a network of
interconnected clients to connect to the central server.
The general assessment of the developed system gave
"very great extent" of compliance based on the user-end
evaluation in terms of the ISO/IEC 25010 Software
Quality Standards and a 5-point Likert Scale.
Keywords :
GIS, Spatial Data Analysis, Aquaculture Farm, Information Management.
