Data Driven Strategies for Crime Prevention: A Focus on Integrated Crime Risk Assessment System
DOI:
https://doi.org/10.24191/jcrinn.v11i2.632Keywords:
Crime risk assessment, public safety, security, proactive strategies, data integrationAbstract
This study presents the Integrated Crime Risk Assessment System (ICRAS), a mobile application developed to assist Investigation Officers (IOs) within the Royal Malaysian Police in assessing crime risks and making well-informed decisions. The app utilizes a crime risk matrix that has been designed based on a pre-established risk appetite framework, allowing officers to evaluate crime risks accurately and efficiently. By integrating diverse data sources, such as historical crime data, demographic trends, and environmental factors, the app generates a risk score that reflects the likelihood of criminal activity in various areas. This risk score is essential for guiding decision-making, ensuring that resources are allocated effectively and that law enforcement efforts are focused on the most critical areas. The system empowers IOs to make proactive, evidence-based decisions that enhance community safety. With the help of ICRAS, officers can identify potential threats early, which improves the accuracy of crime predictions and optimizes the overall effectiveness of policing strategies. ICRAS exemplifies how technology can play a crucial role in modernizing law enforcement by providing a data-driven approach to crime prevention. Ultimately, it strengthens the decision-making processes, ensuring that the Royal Malaysian Police can respond to crime risks in a more informed and efficient manner.
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Copyright (c) 2026 Mohammad Fahmi Hussin, Mohd Razif Maidin, Khairilmizal Samsudin, Nor Ayu Zalina Zakaria, Amalina Enche Ab. Rahim (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
