Assessing the Level of Crime Incidence in the Municipality of Silang Cavite Using Monte Carlo Algorithm

Abstract

Silang Cavite is one of the 24 local government units of the province of Cavite, Philippines. It is subdivided into 64 barangays, and it relies on agriculture as its principal source of income. Based on the record of the Cavite government in 2020, Silang got the highest crime index in the 5th district of Cavite. In response to this pressing issue, the researcher came up with the idea to develop a system that can assess the crime incidence in the municipality of Silang using the Monte Carlo algorithm. The system was developed with the aid of the Systems Development Cycle (SDLC) model. The crime incidence was presented using Google Maps and Bing satellites. Descriptive and developmental research methods were used in conducting the study. As part of the developmental method, the acceptability of the system was tested using the formulated questionnaire using the ISO/IEC 25010:2011 standard. The acceptability of the system was evaluated by 38 participants. Purposive sampling was used in the selection of the participants. The system underwent rigorous evaluation according to the ISO/IEC 25010:2011 standard, which outlines eight characteristics for assessing software quality. Based on these criteria, the system was rated as “Excellent” or “Very Acceptable,” indicating that it meets high standards of performance, reliability, and user satisfaction. This evaluation underscores the system’s effectiveness in addressing the crime assessment needs of Silang, contributing to improved public safety and informed decision-making in the Municipality.