Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani
Visualization techniques are effective communications that are extremely useful in complex and changing environments. This technique assist human to make sense of data and communicate the information thus addressing life complexity. In order to read mountainous data sources, Jabatan Kebajikan Malays...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2020
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/30780/1/TD_NUR%20ALIA%20BIZANI%20CS%20R%2018_5.pdf http://ir.uitm.edu.my/id/eprint/30780/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.uitm.ir.30780 |
---|---|
record_format |
eprints |
spelling |
my.uitm.ir.307802020-06-03T04:36:09Z http://ir.uitm.edu.my/id/eprint/30780/ Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani Bizani, Nur Alia Computer software Expert systems (Computer science). Fuzzy expert systems System design Visualization techniques are effective communications that are extremely useful in complex and changing environments. This technique assist human to make sense of data and communicate the information thus addressing life complexity. In order to read mountainous data sources, Jabatan Kebajikan Malaysia (JKM) management needs to use data visualization approach to monitor their business procedures. Therefore, the research project aims to integrate visualization technique to Juvenile Delinquency Recommendation System (JDRES) prototype. The methodology used in this project is Software Development Life Cycle (SDLC) which consists of planning phase, information gathering and analysis phase, requirement elicitations phase and development phase. The significance of using visualization technique to represent the impact of the correctional programs allow to represent, explore, analyse and gain insight quickly the importance of the programs on juvenile delinquencies. Well-designed visualization approach allows management to gain quickly insights into the important data. The effectiveness of the prototype was analysed using usability test. The result shows the usability of the visualization technique in informing end users the impact of correctional programs. The used of visualization technique in JDRES enable information on the performance of correctional programs to be easily understood by the automatics persons. 2020-05-20 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/30780/1/TD_NUR%20ALIA%20BIZANI%20CS%20R%2018_5.pdf Bizani, Nur Alia (2020) Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani. Degree thesis, Universiti Teknologi Mara Perlis. |
institution |
Universiti Teknologi Mara |
building |
Tun Abdul Razak Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknologi Mara |
content_source |
UiTM Institutional Repository |
url_provider |
http://ir.uitm.edu.my/ |
language |
English |
topic |
Computer software Expert systems (Computer science). Fuzzy expert systems System design |
spellingShingle |
Computer software Expert systems (Computer science). Fuzzy expert systems System design Bizani, Nur Alia Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani |
description |
Visualization techniques are effective communications that are extremely useful in complex and changing environments. This technique assist human to make sense of data and communicate the information thus addressing life complexity. In order to read mountainous data sources, Jabatan Kebajikan Malaysia (JKM) management needs to use data visualization approach to monitor their business procedures. Therefore, the research project aims to integrate visualization technique to Juvenile Delinquency Recommendation System (JDRES) prototype. The methodology used in this project is Software Development Life Cycle (SDLC) which consists of planning phase, information gathering and analysis phase, requirement elicitations phase and development phase. The significance of using visualization technique to represent the impact of the correctional programs allow to represent, explore, analyse and gain insight quickly the importance of the programs on juvenile delinquencies. Well-designed visualization approach allows management to gain quickly insights into the important data. The effectiveness of the prototype was analysed using usability test. The result shows the usability of the visualization technique in informing end users the impact of correctional programs. The used of visualization technique in JDRES enable information on the performance of correctional programs to be easily understood by the automatics persons. |
format |
Thesis |
author |
Bizani, Nur Alia |
author_facet |
Bizani, Nur Alia |
author_sort |
Bizani, Nur Alia |
title |
Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani |
title_short |
Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani |
title_full |
Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani |
title_fullStr |
Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani |
title_full_unstemmed |
Integrating visualization technique in juvenile deliquency recommendation expert system (IDRES) in Prototype / Nur Alia Bizani |
title_sort |
integrating visualization technique in juvenile deliquency recommendation expert system (idres) in prototype / nur alia bizani |
publishDate |
2020 |
url |
http://ir.uitm.edu.my/id/eprint/30780/1/TD_NUR%20ALIA%20BIZANI%20CS%20R%2018_5.pdf http://ir.uitm.edu.my/id/eprint/30780/ |
_version_ |
1685650703678177280 |
score |
13.214268 |