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Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates

This study was to identify the spatial distribution of Social Support Index (SSI) among drug-abuse inmates throughout Peninsular Malaysia. Factor Analysis (FA) and Discriminant Analysis (DA) were applied to analyses the level of social support (SS) among drug-abuse inmates and develop the spatial mo...

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Main Authors: Mahadzirah, Mohamad, Mohd Khairul Amri, Kamarudin, Nor Azman, Mat Ali @ Salim, Hafizan, Juahir
Format: Article
Language:English
Published: 2018
Subjects:
HN Social history and conditions. Social problems. Social reform
RC Internal medicine
Online Access:http://eprints.unisza.edu.my/6433/1/FH02-FESP-18-13586.pdf
http://eprints.unisza.edu.my/6433/
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spelling my-unisza-ir.64332022-03-20T07:27:09Z http://eprints.unisza.edu.my/6433/ Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates Mahadzirah, Mohamad Mohd Khairul Amri, Kamarudin Nor Azman, Mat Ali @ Salim Hafizan, Juahir HN Social history and conditions. Social problems. Social reform RC Internal medicine This study was to identify the spatial distribution of Social Support Index (SSI) among drug-abuse inmates throughout Peninsular Malaysia. Factor Analysis (FA) and Discriminant Analysis (DA) were applied to analyses the level of social support (SS) among drug-abuse inmates and develop the spatial model using Geographic Information System (GIS). Five significant index categories were generated from FA: excellent, good, moderate, low and poor Quality of Life Index (QoLi) and the nine of SS variables are expected to be derived from family, friends and other social factor. DA showed each category differed from others in terms of different compositions, stepwise backward and forward modes gave 99.75% correct classification. GIS analysis show the distribution of SSI categorized on family and friends factor were moderately for where the prisoners came. Besides that, Perlis classified as low-level index and Melaka as high-level index of other social factor. The distribution model of SSI in moderately-level showed Jelebu, Sungai Petani, Pengkalan Chepa and Simpang Renggang as the better SS factor to quality of life compared to the Penor, Pahang. The procedures of FA, DA and GIS were used in this study proved the source apportionment of SS and QoLi among drug-abuse inmates in Peninsular Malaysian prisons. 2018-01 Article PeerReviewed text en http://eprints.unisza.edu.my/6433/1/FH02-FESP-18-13586.pdf Mahadzirah, Mohamad and Mohd Khairul Amri, Kamarudin and Nor Azman, Mat Ali @ Salim and Hafizan, Juahir (2018) Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates. International Journal of Engineering & Technology, 7 (2.15). pp. 1-7. ISSN 2227-524X
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic HN Social history and conditions. Social problems. Social reform
RC Internal medicine
spellingShingle HN Social history and conditions. Social problems. Social reform
RC Internal medicine
Mahadzirah, Mohamad
Mohd Khairul Amri, Kamarudin
Nor Azman, Mat Ali @ Salim
Hafizan, Juahir
Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates
description This study was to identify the spatial distribution of Social Support Index (SSI) among drug-abuse inmates throughout Peninsular Malaysia. Factor Analysis (FA) and Discriminant Analysis (DA) were applied to analyses the level of social support (SS) among drug-abuse inmates and develop the spatial model using Geographic Information System (GIS). Five significant index categories were generated from FA: excellent, good, moderate, low and poor Quality of Life Index (QoLi) and the nine of SS variables are expected to be derived from family, friends and other social factor. DA showed each category differed from others in terms of different compositions, stepwise backward and forward modes gave 99.75% correct classification. GIS analysis show the distribution of SSI categorized on family and friends factor were moderately for where the prisoners came. Besides that, Perlis classified as low-level index and Melaka as high-level index of other social factor. The distribution model of SSI in moderately-level showed Jelebu, Sungai Petani, Pengkalan Chepa and Simpang Renggang as the better SS factor to quality of life compared to the Penor, Pahang. The procedures of FA, DA and GIS were used in this study proved the source apportionment of SS and QoLi among drug-abuse inmates in Peninsular Malaysian prisons.
format Article
author Mahadzirah, Mohamad
Mohd Khairul Amri, Kamarudin
Nor Azman, Mat Ali @ Salim
Hafizan, Juahir
author_facet Mahadzirah, Mohamad
Mohd Khairul Amri, Kamarudin
Nor Azman, Mat Ali @ Salim
Hafizan, Juahir
author_sort Mahadzirah, Mohamad
title Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates
title_short Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates
title_full Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates
title_fullStr Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates
title_full_unstemmed Development of Spatial Distribution Model using GIS to Identify Social Support Index Among Drug-Abuse Inmates
title_sort development of spatial distribution model using gis to identify social support index among drug-abuse inmates
publishDate 2018
url http://eprints.unisza.edu.my/6433/1/FH02-FESP-18-13586.pdf
http://eprints.unisza.edu.my/6433/
_version_ 1728056365680689152
score 13.211869

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