Abstract

Criminal investigation is a fundamental subject of Criminal Justice education, where students develop analytical and critical thinking skills by performing crime scene investigations. However, the demand for enhanced training is also rising due to the rising population of criminology colleges. This training is vital as this is where the student’s skills and knowledge are applied and improved. This study aimed to develop a reliable, easy-to-use 2D crime scene investigation simulator to address this issue. The study utilized descriptive analytical tools for monitoring and assessing students’ performance and progress in crime scene investigation. The study also used the Agile method to ensure the development team can complete the project on time. After utilizing the Crime Scene Simulator, the Clustering Algorithm was applied to analyze the student’s performance. Only the crime scene investigation process was included in the study, excluding other methods, such as forensics, identifying crimes, or arresting perpetrators. The findings of the system testing show that the system is reliable and easy to use for tracking the progress and performance of the students. The College of Criminal Justice education of STI West Negros University was considered the pilot criminology school of this study. The project was developed during the School Year 2022-2023.

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