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Undergraduate Theses

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14578/5

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    Web-based drug related crimes geospatial data analytics for Digos City police station
    Alimama, Nathan Jeaster D. (Davao del Sur State College, 2024-07)
    This capstone project presents a web-based geospatial data analytics system designed exclusively for the Digos City Police Station. The technology aims to aid the Digos City Police Station by utilizing a clustered map to visually represent and analyze drug data. The development of the web-based system for the Digos City Police Station significantly enhances visualization capabilities through the implementation of clustered maps and descriptive analytics graphs. These visual tools provide a clearer, more comprehensive representation of drug crime data, enabling the identification of pattern and trends that are crucial for strategic decision-making. The system was developed using the Rapid Application Development (RAD) technique, which ensured a flexible and iterative approach to creating the system. The system is efficiently allows the admin page manage user accounts and the system also has a user logs history feature that allows for effective tracking, clustered maps and descriptive analytics also improves the system's usefulness for law enforcement operations. This system make a big contribution to the police force for its comprehensive understanding of drug-related information, including the distribution of drug cases and arrests across different areas, as well as the yearly trends in drug-related arrests. The good reviews demonstrate the project's effectiveness in achieving its goals, highlighting its significant contribution to enhancing law enforcement capabilities through improved data visualization and analysis
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    Household utilities monitoring system using geofence technology with data analytics
    Suizo, Clyde Andrie G. (Davao del Sur State College, 2024-06)
    This study was conducted to determine that combining geofence technology into household monitoring systems was an approach to improving utility management and monitoring more efficiently and effectively. While the previously mentioned changes had already been integrated into systems used to monitor household utilities, it was clear that there was a lack of monitoring systems that utilized geofence technology. Such methods were more useful among locals in Don Lorenzo Homes Subdivision, Tres de Mayo, Digos City. As a solution, the monitoring system created in this study achieved the following functions; (1) used a motion sensor as the geofence to cover the entrances and exits of the household with an effective range of 250cm and an effective angle between 60 and 120 degrees, (2) used light and gas sensors integrated into household utilities to gather real-time information with an effective range of 60cm and 20cm respectively, (3) visualized data with the help of bar and line graphs using graphical analytics techniques to display the collected data. Through pilot testing and evaluation, the system gained a 4.2 weighted mean with a remark of GOOD, which demonstrated that employing geofencing techniques increases the efficiency of the homeowner's household utility management. The capstone project stood to make significant contributions to the research field by combining geofence technology and sensors to enhance household utility management. The anticipated benefits in terms of energy efficiency, cost savings, and household utilities management highlighted the project's potential to influence both academic research and practical applications in the smart home domain. The research outcomes could serve as a foundation for further studies, leading to the development of more sophisticated systems and inspiring new approaches to energy efficiency, sustainability, and management.