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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) CARADDE: Jurnal Pengabdian Kepada Masyarakat Dharma Bakti International Journal of Advances in Data and Information Systems Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Abdi Masyarakat Indonesia Jurnal INFOTEL
Windyaning Ustyannie
Institut Sains & Teknologi AKPRIND
Humanities Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Geospatial Model Optimization for Mapping Social Vulnerability to Natural Disasters Using Fuzzy Geographically Weighted Clustering and Flower Pollination Algorithm Istiawan, Deden; Wulandari, Ratri; Ustyannie, Windyaning
International Journal of Advances in Data and Information Systems Vol. 6 No. 3 (2025): December 2025 - International Journal of Advances in Data and Information Syste
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i3.1452

Abstract

This study analyzes social vulnerability to natural disasters in Indonesia through a geospatial optimization model integrating Fuzzy Geographically Weighted Clustering (FGWC) with the Flower Pollination Algorithm (FPA). The hybrid FGWC–FPA enhances clustering accuracy by optimizing spatial parameters and addressing the limitations of index-based and non-spatial methods. The model tested two to four clusters, with the optimal configuration producing four distinct vulnerability groups. Cluster 1 (114 districts) exhibits high poverty, weak infrastructure, and low literacy; Cluster 2 (79 districts) reflects demographic pressure and gender-related inequality; Cluster 3 (87 districts) shows low education and poor disaster preparedness; while Cluster 4 (234 districts) represents health- and age-related vulnerability. A comparison with the 2024 Indonesian Disaster Risk Index (IRBI) shows strong spatial consistency, especially in high-risk regions such as Papua, Maluku, and Sulawesi. The FGWC–FPA model provides finer spatial granularity, allowing the identification of region-specific social issues not captured by deterministic index approaches. The findings validate national disaster risk patterns and offer complementary insights for implementing the National Disaster Management Master Plan (RIPB) 2020–2044, supporting regional prioritization, resource allocation, and capacity-building strategies.
Co-Authors Agus Hindarto Wibowo Agus Hindarto Wibowo Almuntaha, Eska Argaditia Mawadati Bagas Robi Arjianto Catur Iswahyudi Dwi Setyowati Eka Sulistyaningsih Emy Setyaningsih Endang Widuri Asih Endang Widuri Asih Erma Susanti Harmastuti Harmastuti Harmastuti Istiawan, Deden Khasanah, Rahayu Ratri Wulandari Sambuari , Meychel Danius Fedrix Santoso, Arif Gunawan Sulistijanti, Wellie Sulistyaningsih, Eka Suprapto Suprapto Widuri Asih, Endang Zaitunnah, Anis