Purpose-This paper presents a cloud-based GIS that aims to store, retrieve, manipulate and analyze Disaster Risk Reduction and Management (DRRM)-database human resource data for students, professional volunteers, emergency responders, social and health workers. The location-intelligence is significant in maintaining public safety and peace and order during disaster and post-disaster phases. Locating trained personnel during emergency response stage is critical in DRRM given that responders can also be exposed to disaster risks together with the evacuees during crisis. Method-The researchers tried to put into the picture how spatial integration could enhance existing Local Government Unit (LGU) information systems. Enhancing existing information systems with human resource or household locations (x, y) is critical in analyzing and validating incoming real-time data or emergency incident reports. Reliable reports and location can be quickly collected, processed and manipulated to produce crisis maps from the DRRM databases stored at the cloud GIS at real-time. Crisis maps should be produced timely for complex emergencies and response operations.The sampling covered geographic locations intersecting the outer boundary of the Mayon 6kilometer danger zone stretched up to the 10-kilometer buffering at least 2,898 families 56 or 15,049 residents distributed in 25 barangays of 2 cities and 6 municipalities of Albay Province. The researchers tried to highlight how spatial integration could enhance existing LGU information systems by considering human resource locations (x, y) as fundamental in integrating incoming numerous real-time information from emergency incidents. The data are quickly collected, manipulated then processed with other data retrieved from the readily-available DRRM database, to simultaneously alert the concerned government agencies and responders, thru a Human Resource Location Intelligence System stored at the cloud GIS. Results-The proposed system can generate tailored maps (combining both official and latest unofficial information from the ground during emergencies),which indicates visualization of the extent of ash fall along with lahar prone map layers during disaster phase or post disaster phase. The layers are processed through a model-builder tool to quickly disclose real-time people and critical infrastructures at risk. Conclusion-This study providesreal-time exposure critical to responding to clearing operations, emergency response, retrieval of cadaver, and so on, and better understanding of how to enhance DRRM. Practical Implication-The proposed systemslocation-intelligence is significant in maintaining public safety and peace and order during disaster and post-disaster phases.

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Abstract

Purpose -Electronic Voting System (EVS) is a type of voting program that deals primarily with the selection, the casting of votes with embedded security mechanism that detects errors, and the tamper-proof election of results done through the use of an electronic system. It can include optical scan, specialized voting kiosks and Internet voting approach. Most organizations have difficulties when it comes to voting and the Bicol University Union of Federated Faculty Association Incorporated (BUUFFAI) is not an exception. Some of the problems involved include convenience, cost, geographical location of the polling precinct, and voting turnouts.Method -This study extends the scope of the current BUUFFAI eVoting system to address such issues and to eliminate inconvenience both to the faculty voters and the facilitators. This voting scheme used an algorithmic OTP scheme based on table sequence pattern schedule that randomly generates an XY coordinate unique to voters that will be sent to voter registered email address.Results -This study addressed the security requirements and maintained election procedures with confidentiality, integrity and availability.

The Fisheries, Coastal Resources and Livelihood (FishCORAL) project of the Department of Agriculture – Bureau of Fisheries and Aquatic Resources (DA-BFAR) aimed to address the alarming poverty incidence of the fishing communities and provide protection and conservation of coastal resources. This study developed and implemented a web-based information system designed to serve as repository of resources and socio-economic assessments for Asid Gulf. The study used Rational Unified Process (RUP) methodology which utilizes open libraries, application programming interface (APIs) and Geographical Information system (GIS) tools. Information gathered from field surveys and community validation through project components are the primary basis in designing the system components. The developed system provided a wide-range of information in the interest of the fisheries and aquatic resources management. Some of the features include the updated socio-economic profile, aquatic ecology and habitat assessments, baselines of the primary water quality parameters for marine waters, updated fisheries industry profile, and GIS maps of Asid gulf. Government agencies, local government units (LGUs), and partner institutions can use the information in terms of education, livelihood, agriculture and fisheries, health and crafting the coastal resource management plan. The implementation of the system is one of the government efforts to improve the governance capability through the development of internet-based technologies across all stakeholders and agencies for a more efficient operation which shall promote good governance and digital transformation to enhance the organization and intergovernmental coordination.