The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.]
The use of a crime dashboard is important as it should be widely spread for citizens to understand and track crime trends in Malaysia. There is currently a lack of interactive dashboards about crime rates in Malaysia for Malaysian citizens. The Department of Statistics Malaysia (DOSM) only provided...
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my.uitm.ir.873622023-11-29T09:15:13Z https://ir.uitm.edu.my/id/eprint/87362/ The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.] jikm Mahadi, Maisarah Ros Abd Karim, Norisan GS, Jasber Kaur Redzuan, Fauziah Electronic digital computers The use of a crime dashboard is important as it should be widely spread for citizens to understand and track crime trends in Malaysia. There is currently a lack of interactive dashboards about crime rates in Malaysia for Malaysian citizens. The Department of Statistics Malaysia (DOSM) only provided read-only files and out-of-date information available for everyone to use. The dashboard should integrate data visualization, forecasts, and educational materials to provide Malaysian residents with a better understanding of the situation. This article focuses on the steps involved in constructing a CrackDown interactive data visualization dashboard. This research will benefit its stakeholders such as Malaysian citizens, Royal Malaysia Police (RMP), and researchers. The aim is to create an interactive dashboard for Crackdown using a combination of Agile and OSEMN methodology, with visualization and relevant information. The design of the dashboard uses feature visualization, and related articles that are educational for the user. The research also applied the data design process which involved the extract, transform, and load (ETL) and helped in obtaining a good data quality. Based on the findings, despite a decrease in crime patterns from 2017 to 2022, there are still concerns among citizens. Selangor was the state with the highest crime cases followed by Kuala Lumpur, Johor, Sarawak, and Kedah. Meanwhile, the most frequent crimes in Malaysia are motorcycle theft, followed by stealing, home breaking, car theft, and unarmed bandits. From the result, Crackdown intends to enable Malaysian citizens to track crime rates in Malaysia based on different categories and raise awareness and knowledge of crime prevention and guidance for a more secure future. Faculty of Information Management 2023-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/87362/1/87362.pdf The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.]. (2023) Journal of Information and Knowledge Management (JIKM) <https://ir.uitm.edu.my/view/publication/Journal_of_Information_and_Knowledge_Management_=28JIKM=29/>, 2. pp. 143-155. ISSN ISSN:2231-8836 ; E-ISSN:2289-5337 http://ijikm.uitm.edu.my/ |
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Electronic digital computers Mahadi, Maisarah Ros Abd Karim, Norisan GS, Jasber Kaur Redzuan, Fauziah The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.] |
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The use of a crime dashboard is important as it should be widely spread for citizens to understand and track crime trends in Malaysia. There is currently a lack of interactive dashboards about crime rates in Malaysia for Malaysian citizens. The Department of Statistics Malaysia (DOSM) only provided read-only files and out-of-date information available for everyone to use. The dashboard should integrate data visualization, forecasts, and educational materials to provide Malaysian residents with a better understanding of the situation. This article focuses on the steps involved in constructing a CrackDown interactive data visualization dashboard. This research will benefit its stakeholders such as Malaysian citizens, Royal Malaysia Police (RMP), and researchers. The aim is to create an interactive dashboard for Crackdown using a combination of Agile and OSEMN methodology, with visualization and relevant information. The design of the dashboard uses feature visualization, and related articles that are educational for the user. The research also applied the data design process which involved the extract, transform, and load (ETL) and helped in obtaining a good data quality. Based on the findings, despite a decrease in crime patterns from 2017 to 2022, there are still concerns among citizens. Selangor was the state with the highest crime cases followed by Kuala Lumpur, Johor, Sarawak, and Kedah. Meanwhile, the most frequent crimes in Malaysia are motorcycle theft, followed by stealing, home breaking, car theft, and unarmed bandits. From the result, Crackdown intends to enable Malaysian citizens to track crime rates in Malaysia based on different categories and raise awareness and knowledge of crime prevention and guidance for a more secure future. |
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Article |
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Mahadi, Maisarah Ros Abd Karim, Norisan GS, Jasber Kaur Redzuan, Fauziah |
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Mahadi, Maisarah Ros Abd Karim, Norisan GS, Jasber Kaur Redzuan, Fauziah |
author_sort |
Mahadi, Maisarah Ros |
title |
The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.] |
title_short |
The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.] |
title_full |
The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.] |
title_fullStr |
The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.] |
title_full_unstemmed |
The development of CrackDown: a prototype of data visualisation system on crime rate trends in Malaysia / Maisarah Ros Mahadi ... [et al.] |
title_sort |
development of crackdown: a prototype of data visualisation system on crime rate trends in malaysia / maisarah ros mahadi ... [et al.] |
publisher |
Faculty of Information Management |
publishDate |
2023 |
url |
https://ir.uitm.edu.my/id/eprint/87362/1/87362.pdf https://ir.uitm.edu.my/id/eprint/87362/ http://ijikm.uitm.edu.my/ |
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