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All Journal PENDIPA Journal of Science Education NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Jurnal Manajemen Bencana (JMB) Edukasi IPS JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Papatung : Jurnal Ilmu Administrasi Publik, Pemerintahan dan Politik International Journal of Social Service and Research Jurnal Pertahanan dan Bela Negara MOVE: Journal of Community Service and Engagement Priviet Social Sciences Journal Jagratara: Journal of Disaster Research Journal of Geographical Sciences and Education Jurnal Meteorologi dan Geofisika International Journal of Education, Vocational and Social Science Geosfera Indonesia Jurnal Cendekia Ilmiah Preventia : The Indonesian Journal of Public Health
Kurniadi, Anwar
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Religion Humanities Astronomy Chemistry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Disaster Risk Reduction in Rural Indonesia: Evaluation of the Japan Red Cross Program in Pujiharjo Village Adisa, Meyralda Dara; Widodo, Pujo; Kurniadi, Anwar; Wilopo, Wilopo
Preventia: The Indonesian Journal of Public Health Vol. 10, No. 2
Publisher : citeus

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Abstract

Pujiharjo Village in Malang Regency, Indonesia, is highly vulnerable to natural disasters. In 2021, the Indonesian Red Cross (PMI) partnered with the Japanese Red Cross Society (JRCS) to implement a community-based disaster preparedness program. This study evaluates the program's effectiveness in terms of community participation, institutional support, and alignment with the Sendai Framework for Disaster Risk Reduction 2015–2030. Using a qualitative case study, data were collected through document analysis of Vulnerability and Capacity Assessments (VCA), Community Action Plans (CAP), and local SOPs. Thematic analysis explored disaster risk perception, governance, mitigation investment, and emergency preparedness. The program successfully improved risk awareness, formed disaster preparedness teams (SIBAT), and developed digital evacuation routes and risk maps. Planning documents such as SOPs and CAPs were established. However, SOP understanding remained low (64% unfamiliar), vulnerable group inclusion and cross-sectoral coordination were limited, early warning systems were absent, and post-disaster recovery planning was lacking.
SPATIAL IDENTIFICATION OF CRITICAL LOGISTICS INFRASTRUCTURE AS NATIONAL VITAL OBJECTS: A NETWORK RESILIENCE APPROACH TO MEGATHRUST CONTINGENCIES Sudibyo, Reno; Kurniadi, Anwar; Tawakal, Moh. Iqbal
Jurnal Pertahanan dan Bela Negara Vol 16, No 1 (2026): Jurnal Pertahanan dan Bela Negara
Publisher : Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jpbh.v16i1.20167

Abstract

PASTE/TEXT YOUR ABSTRAX TEXT HEREThe looming threat of a Megathrust earthquake and tsunami along the southern coast of Java compromises not only human safety but also the operational readiness of regional defense and national security. While existing literature predominantly focuses on outbound evacuation flows, there is a critical gap in assessing the resilience of inbound logistics supply chains essential for emergency response operations. This study aims to identify strategic road segments qualifying as National Vital Objects and to delineate isolated territories necessitating Military Operations Other Than War (MOOTW). By employing a spatial network science approach, specifically utilizing Betweenness Centrality algorithms and Network Robustness simulations within the Palabuhanratu road network, this research models the systemic breakdown of access under tsunami inundation scenario, by applying a binary failure threshold of flow depth hmax 0.3m. The quantitative analysis identifies "Jalan Lintas Jabar Selatan" as the critical logistics backbone, exhibiting the highest vitality score of 0.19, representing the dominant outlier compared to other arterial corridors in the network.  Concurrently, the hazard simulation reveals the formation of tactical isolation clusters in Citarik and Palabuhanratu, where 22.45% of the network nodes experience total access severance (cut-off). These findings underscore the strategic imperative for establishing joint contingency plans that integrate air-bridge and maritime access capabilities to ensure the continuity of national defense logistics during crisis contingencies.
Integrating Probabilistic Airborne Dispersion and Geospatial Vulnerability Assessment for Cascading Urban Radiological Hazards Sudibyo, Reno; Widodo, Pujo; Maarif, Syamsul; Kurniadi, Anwar; Hasaro, Demetrius Christian
Geosfera Indonesia Vol. 11 No. 2 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i2.60012

Abstract

Cascading airborne hazards in densely populated metropolitan areas pose major challenges for disaster risk reduction (DRR). This study developed a probabilistic geospatial framework to assess potential airborne radiological hazard propagation in the Bandung metropolitan area, Indonesia, under a hypothetical Iodine-131 (I-131) release scenario. Ensemble-based Gaussian puff simulations driven by ERA5 meteorological data were integrated with probabilistic exceedance mapping, demographic vulnerability analysis, district-level spatial aggregation, and healthcare infrastructure exposure assessment using Geographic Information System (GIS) approaches. The results identified elongated airborne exposure corridors across interconnected metropolitan districts within the Bandung Basin. High probabilistic exposure zones were concentrated near the southern urban source area and extended toward northern urban sectors. District-level analysis revealed that densely populated sub-districts and several healthcare facilities, including major hospitals, were located within elevated exposure zones. The study demonstrates the potential of probabilistic geospatial modelling to support uncertainty-aware urban DRR planning in rapidly urbanizing metropolitan environments.
Co-Authors Adisa, Meyralda Dara Agus Wibowo ali, yusuf Baihaqi, Lukman Hakim Budiana, Ida Bagus Putra Cendikia Bhakti, Dahan Deffi Ayu Puspito Sari, Deffi Ayu Puspito Hasaro, Demetrius Christian Kusuma Kusuma, Kusuma M. Syamsul Maarif Muhammad, Ikhlas Nur Nugraha, Cahya Agung Oktaviandra, Yosyea Poetra, Auliya Wildana Ponangsera, Iko Sarikanti Prakoso, Lukman Yudho Pratikno, Hendro Prihantoro, Mitro Pujo Widodo, Pujo Puspito, Deffi Ayu Puto, Robertus Anugerah Purwoko Rachmat Setiawibawa Rahmadani, Dinda Ramadhan, Fajar Gilang Rivaldy, Mohammad Sarpono Sarpono Sobar Sutisna Soemantri, Asep Iwa Subiyanto, Adi Sudibyo, Reno Susilastuti Syamsunasir, Syamsunasir Tawakal, Moh. Iqbal Tresnanti, Desratri Timur Uksan, Arifuddin Wilopo Wilopo, Wilopo Wuryantari, Benedicta Ayu Indiwara