Abstract
Homeless according to Sabine Springer, or known also as houseless based on their
research, homeless are defined as those who sleeping rough or using public or private
shelters to go through their everyday life. In Kuala Lumpur, the exact numbers of
homeless person is still unknown. Thus, the goal of this research is to study about the
demographic data of the homeless in Kuala Lumpur. Kuala Lumpur had been chosen as
the study area because Kuala Lumpur had been the capital city of Malaysia since
independent day. But due to the rose numbers of homeless, this problem need to be
overcome. Certain type of data that can be acquired from the JKM and NGOs such as
year, gender, age and ethnic. Due to the lacks data stored at JKM and Ngo such as the real
numbers of homeless or the hotspot location of the homeless, the idea to develop mobile
application had come about. The distribution location of the homeless data later is
mapped into a hotspot map based on the demographic data by using Arcgis online
software. Android studio is used for developing a prototype of mobile application for
user to update the real-time data of homeless in Kuala Lumpur. The purpose of the
prototype of mobile application is to gather the data of the homeless then the data later
can be used by JKM and NGOs for goodness. The development of the mobile application
is something new in Malaysia but it still can be one of the way to overcome the problem
that have been faced by the related agencies.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Rosman, Nur Liyana UNSPECIFIED |
Subjects: | G Geography. Anthropology. Recreation > G Geography (General) > Geographic information systems Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Mobile computing Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Operating systems (Computers) > Android |
Divisions: | Universiti Teknologi MARA, Perlis > Arau Campus > Faculty of Architecture, Planning and Surveying |
Keywords: | demographic data ; Arcgis ; mobile application ; homeless |
Date: | 25 February 2019 |
URI: | https://ir.uitm.edu.my/id/eprint/23255 |
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