2D Crime Scene Investigation Simulator for the Criminology Schools of Negros Occidental
Article Sidebar
Main Article Content
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.
Downloads
Article Details
References
Ahli, N., and Suratman, R. (2022). The Importance Of City Biodiversity Index (Cbi) Indicators For Malaysia Future Biodiversity Management At Local Level: A Review. Journal of Tourism, Hospitality and Environment Management, 7(27), 50–57. https://doi.org/10.35631/jthem.727004.
De Camargo, J. F., Da Silva, F. M., & Smith, W. S. (2021b). City Biodiversity Index and the Cities-Biodiversity Relationship: a Case Study for Sorocaba, SP, Brazil. Urban Ecosystems. https://doi.org/10.21203/rs.3.rs-363556/v1.
Pierce, J. L., et al. (2020). Actions, indicators, and outputs in urban biodiversity plans: A multinational analysis of city practice. PLOS ONE, 15(7), e0235773. https://doi.org/10.1371/journal.pone.0235773.
Yurong, C. Y. A., et al. (2020). Community Structure of Road Associated Avifauna along theUrban Gradient in Mintal, Davao City, Southern Philippines. Biodiversity Journal, 11(3), 771–780. https://doi.org/10.31396/biodiv.jour.2020.11.3.771.780.
Luscier, J. D. (2021). A Core On The Edge: An Urban Bird Assemblage On The Atlantic Margin Of Europe. Research Square. https://doi.org/10.21203/rs.3.rs-416772/v1.
Fraixedas, S., et al. (2020). A state-of-the-art review on birds as indicators of biodiversity: Advances, challenges, and future directions. Ecological Indicators, 118, 106728. https://doi.org/10.1016/j.ecolind.2020.106728.
Yang, X., et al. (2020). The influence of urban park characteristics on bird diversity in Nanjing, China. Avian Research, 11(1). https://doi.org/10.1186/s40657-020-00234-5.
Dwivedi, K., et al. (2021). Avifaunal Biodiversity in Chhattisgarh Plain Region of Madhya Pradesh. Science, Technology and Development, 10, 131–146.
Thompson, R., Tamayo, M., & Sigurðsson, S. (2022). Urban bird diversity: does abundance and richness vary unexpectedly with green space attributes? Journal of Urban Ecology, 8(1). https://doi.org/10.1093/jue/juac017.
Campbell, C. E., et al. (2022). Big changes in backyard birds: An analysis of long-term changes in bird communities in Australia’s most populous urban regions. Biological Conservation, 272, 109671. https://doi.org/10.1016/j.biocon.2022.109671.
Sidemo‐Holm, W., et al. (2022). Urbanization causes biotic homogenization of woodland bird communities at multiple spatial scales. Global Change Biology, 28(21), 6152–6164. https://doi.org/10.1111/gcb.16350.
Banzon, J. P. M., et al. (2022). Diversity of Bird Species in Urban Green Spaces of Davao City, Mindanao, Philippines. Philippine Journal of Science, 151(5), 1943–1944.
Liang, W., et al. (2020). Insurance for the future? Potential avian community resilience in cities across Europe. Climatic Change, 159(2), 195–214. https://doi.org/10.1007/s10584-019-02583-7.
Ferreira, C. C., et al. (2021). Biodiversity Monitoring and the Role of Scientists in the Twenty-first Century. Wildlife Research Monographs, 25–50. https://doi.org/10.1007/978-3-030-81085-6_2.
Mulvaney, J. M., and Cherry, M. I. (2020). The effectiveness of point counts and mist-netting in surveying Afrotemperate forest bird community structure in South Africa. Emu, 120(2), 103–113. https://doi.org/10.1080/01584197.2020.1726186.
Mesaglio, T., and Callaghan, C. T. (2021). An overview of the history, current contributions, and future outlook of iNaturalist in Australia. Wildlife Research, 48(4), 289. https://doi.org/10.1071/wr20154.
Di Cecco, G. J., et al. (2021). Observing the Observers: How Participants Contribute Data to iNaturalist and Implications for Biodiversity Science. BioScience, 71(11), 1179–1188. https://doi.org/10.1093/biosci/biab093.
Melendez, M., and Panvini, D. (2021). Comparison of Bird Diversity Reported at an eBird Hotspot and Banding Station in an Urban Natural Area Park in Nashville, Tennessee. Journal. Tennessee Academy of Science, 96(1), 55–62. https://doi.org/10.47226/jtas-d-20-00001.1.
Roger, E., and Motion, A. (2021). Citizen science in cities: an overview of projects focused on urban Australia. Urban Ecosystems, 25(3), 741–752. https://doi.org/10.1007/s11252-021-01187-3.
Kühl, H. S., et al. (2020). Effective Biodiversity Monitoring Needs a Culture of Integration. One Earth, 3(4), 462–474. https://doi.org/10.1016/j.oneear.2020.09.010.
Feng, M., and Che-Castaldo, J. (2021). Comparing the reliability of relative bird abundance indices from standardized surveys and community science data at finer resolutions. PLOS ONE, 16(9), e0257226. https://doi.org/10.1371/journal.pone.0257226.
Fink, D., et al. (2020). Modeling avian full annual cycle distribution and population trends with citizen science data. Ecological Applications, 30(3). https://doi.org/10.1002/eap.2056.
Callaghan, C. T., et al. (2020). Capitalizing on opportunistic citizen science data to monitor urban biodiversity: A multi-taxa framework. Biological Conservation, 251. https://doi.org/10.1016/j.biocon.2020.108753.