Smart Columbarium Navigation: Enhancing Grave Mapping with Geographical Information System (GIS) and Fuzzy Logic Algorithm for the Garden of the Divine Word Columbary
This study explores the development and implementation of a Smart Columbarium Navigation system for The Garden of the Divine Word Columbary, integrating Geographical Information System (GIS) technology with Fuzzy Logic algorithms. The lack of a dedicated geolocation application creates substantial difficulties in navigating infrastructure. Currently, users depend on conventional wayfinding methods, which are often inefficient and time-consuming. The research addresses the growing challenges faced by visitors in navigating complex modern columbariums and locating specific niches. The system incorporates a user-friendly interface for appointment scheduling and management, enhancing the experience for both visitors and staff. Advanced data collection methods were employed to improve the precision and comprehensiveness of landscape assessment, ensuring accurate recording and analysis of spatial and environmental factors. GIS technology was leveraged to create detailed, accurate maps of the columbarium, integrating spatial data with niche information for improved navigation and operational efficiency. The system was evaluated using ISO 25010 criteria, focusing on functional suitability, performance efficiency, usability, reliability, and security. Feedback from columbarium staff and general public visitors (n=80) indicated generally positive results across these dimensions, with mean scores ranging from 3.85 to 4.46 on a 5-point Likert scale. While the system successfully met its primary objectives, the neutral responses in some areas suggest opportunities for further optimization. This study demonstrates the potential of integrating GIS and Fuzzy Logic in funerary contexts, paving the way for innovations in memorial space management and enhancing the overall visitor experience in columbariums.
Authors
- Vivien A. Agustin (ORCID: https://orcid.org/0000-0001-7357-3596)
- Mark Christopher R. Blanco (ORCID: https://orcid.org/0000-0002-5825-0657)
- Joseph Darwin C. Co (ORCID: https://orcid.org/0000-0003-0080-5899)
- Karen Gale G. Partos
- Kit N. Carreon
- Tristan Miguel M. Tulagan
Institutions
- University of the City of Manila (PH)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icses63760.2024.10910415
- Primary Topic
- Advanced Image and Video Retrieval Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00