Implementation of Predictive Crime Analytics in Municipal Crime Management System in Calauan, Laguna, Philippines

Abstract

Predictive crime analytics is a process of evaluating a dataset to discover veiled patterns that can be useful in forecasting crime occurrence. The application of a machine learning algorithm is widely used in developing artificial intelligence to integrate into computer systems. This project aims to develop a management system for crime records implementing predictive crime analytics in forecasting crime occurrences. Through predictive crime analytics and software development life cycle, a management information system that is capable of forecasting crime was successfully developed. A predictive model was designed using multinomial logistic regression, which acquires a totality accuracy of 86.60% and prediction confidence. It is also shown in this paper that regression is better than other classification algorithms in terms of predicting crime occurrence. Moreover, discussed in this research, among all the barangay in Calauan, Laguna. Dayap is the most vulnerable in different index crimes like rape, murder, robbery, theft, homicide, and illegal drugs.

Datasets of Fire and Crime Incidents in Pampanga, Philippines

“…The merged dataset might be useful to support or reject some of the existing studies as well as the results of this study. Finally, the development of relevant systems (e.g., Asor & Sapin, 2020;Balahadia et al, 2020;Villarica et al, 2022) based on the dataset and findings of this study is needed to improve the data collection, analysis, visualization, and policy-making processes for the two agencies (Balahadia & Trillanes, 2017). These recommendations are widely seen as important and should be pursued.…”

Fire incidents visualization and pattern recognition using machine learning algorithms

“…The fire incidents data has numerous attributes in the given raw data which are not needed in developing the project. In assuring that a quality model will be developed, attributes with the same meaning was removed [19], [20]. Since date occurred and incident report are the same, one of these attributes was removed and the other one was sustained to remove data noises.…”

Optimizing registry of inhabitants’ record management: the development of municipal consolidation system for local governance

“…For instance, the Community-Based Monitoring System (CBMS) is a technology-based system designed for collecting and validating disaggregated data, primarily aiming to combat poverty and boost economic growth (Diokno et al, n.d.). Also, there are several systems related to health and medical records, criminal records, agricultural records, disaster records, water billing records, tax records, and permit records that have been developed (Acoba et al, 2020;Asor, 2020;Castro et al, 2022;Celi-Parraga et al, 2021;Dariagan, 2021;Estinar et al, 2018). Meanwhile, other regions in the country have adopted the Registry of Barangay Inhabitants and Migrants (RBIM) from the Commission on Population and Development (PopCom).…”