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International Journal of Disaster Management
Published by Universitas Syiah Kuala
ISSN : 2808439X     EISSN : 25274341     DOI : https://doi.org/10.24815/ijdm.v5i1.25189
Core Subject : Humanities, Science, Social,
Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Environmental Science Social Sciences
The International Journal of Disaster Management (IJDM) is addressing the results of applied research to advance the knowledge in minimizing the potential impact of threats or warnings caused by natural or man-made disasters in a way to reduce the exposure of human activities to risks. IJDM is a journal for researchers, practitioners and policy makers from various disciplines to publish the knowledge advancement on the dynamic relationship between human and disaster, local indigenous knowledge as well as the strategies and technology applied in different elements of the disaster management cycle, including in the response, recovery, reconstruction, prevention, mitigation, and preparedness. The journal scope covers a multi-disciplinary approach in the following key topics: Lessons learned on disaster management from past disasters Technology application for disaster response, reconstruction, and mitigation Management of early response, reconstruction, and recovery Disaster education and strategy to increase awareness and preparedness Post-disaster recovery process and strategies Governance in disaster management Early-warning system, technology, and strategies Knowledge Management for Disaster Risk Reduction GIS and Remote Sensing for Disaster Management Community-Based Disaster Management Climate Risk Management Environmental Aspect in Disaster Natural Hazards coupled with Technological Failures Children Protection and Participation in Disaster Management Local and Indigenous Knowledge for Disaster Risk Reduction Numerical Analysis for Disaster Management Supports
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 162 Documents
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Enhancing earthquake preparedness knowledge and practice among community members in rural areas of Indonesia Calisanie, Nyayu Nina Putri; Sansuwito, Tukimin Bin; Dioso, Regidor III; Lindayani, Linlin
International Journal of Disaster Management Vol 8, No 1 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i1.40361

Abstract

This study aimed to enhance knowledge of earthquake preparedness and practice among community members in rural areas of Indonesia. In the Pacific Ring of Fire, Indonesia faces significant tectonic activity, necessitating disaster risk management. National efforts and individual involvement are crucial. However, disaster training in rural communities is limited due to limited resource allocation. The study utilized a quasi-experimental two-group pretest-posttest design in rural areas in Bandung, West Java, Indonesia, from October 2023 to January 2024. The study sample consisted of volunteers with minimum experience of at least 1 year, aged 18 years old, who were literate and willing to join in this study. The sample was selected by convenience sampling. The analysis employed a general linear model. The size was 120 for each group (240 in total). The study found that the average participant age was 27.13 (SD=3.25) years, with 52.5% having graduated from senior high school, while the control group had an average age of 26.67 4.65. The results of the analysis showed a significant interaction between groups and time spent on knowledge and practices related to earthquake preparedness. The Intervention group (IG) had a larger improvement in knowledge and practice at 2 weeks after the intervention compared to the control group (CG) ( = 5.43, p 0.001 and = 4.56, p 0.001, respectively) after correcting for confounding factors. Disaster preparedness training for volunteers in rural Indonesia effectively enhances knowledge and practice for earthquake preparedness, but further studies are needed with a more robust design and larger sample size.
A literature review: Tsunami disaster mitigation in urban areas Marasabessy, Firdawaty; Nareswari, Ardhya
International Journal of Disaster Management Vol 8, No 1 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i1.43988

Abstract

The 2004 tsunami, which affected 12 countries, including Indonesia, became a key lesson for urban disaster risk management. Mitigation is now a top priority to protect residents and assets, as well as boost capacity. This study identifies tsunami mitigation strategies in urban areas by categorizing them into small, medium, and large/metropolitan cities. A systematic literature review was conducted using Scopus, Web of Science, SpringerLink, and Google Scholar from 2014 to 2024, applying the PRISMA protocol. Fifty-six articles informed mitigation models for different city sizes. Results show strategies differ by city scale: small cities use community and ecosystem approaches, medium-sized cities adopt intermediate technologies and spatial policies, while large cities focus on advanced technologies and systemic planning. Four main themes emerged: spatial planning, community capacity, early warning and evacuation systems, and integration of technology and science. This study provides both conceptual and practical guidance for mitigating urban disaster risk.
Assessing the integration of disaster education in the Merdeka curriculum: A case study from students perspectives in Banda Aceh, Indonesia Nurdin, Nurmalahayati; Reza, Muhammad; Diana, Nasri; Alkhaira, Fathin; Najahi, Rosikhotun
International Journal of Disaster Management Vol 8, No 1 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i1.47034

Abstract

This study highlights the importance of integrating disaster education into schools to improve students' awareness of disaster risks. Indonesia, which is vulnerable to natural hazards, has been working to incorporate disaster-related content into its education system. This research assesses the extent to which disaster knowledge has been integrated into the Merdeka Curriculum from the students perspectives. Given Indonesias rapid curriculum changes and shifting priorities, there is concern that disaster education may be overlooked. The study employed a mixed-method approach, combining content analysis of the curriculum with a student survey. The content analysis reviewed curriculum documents to examine how disaster topics were integrated across subjects. The survey, conducted among middle school students in Banda Acehan area prone to disasterscaptured students experiences learning about disasters both inside and outside the classroom. A total of 267 students from the Banda Aceh area participated in the study.Results show that disaster knowledge is included in subjects such as Bahasa Indonesia, Chemistry, Biology, Geography, and Mathematics. Students also participate in experiential activities such as museum visits and disaster site tours, which deepen their understanding. Overall, the findings suggest that the interdisciplinary and experiential approach of the Merdeka Curriculum effectively promotes disaster literacy, helping students become more aware of and prepared for natural hazards. Despite curriculum challenges, Indonesias efforts support disaster education and resilience-building among young learners.
The impact of vegetation cover loss on land surface temperature in the small island of Sabang City: Implication for sustainable spatial planning Asrina, Naja; Fatimah, Eldina; Achmad, Ashfa
International Journal of Disaster Management Vol 8, No 2 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i2.47070

Abstract

Sabang City has undergone ongoing development and changes in spatial patterns, leading to significant transformations in land use and land cover (LULC), particularly a reduction in vegetation and forest areas. These changes have contributed to a rise in land surface temperatures (LST). This study analyzed the spatial and temporal impacts of these changes on LST and vegetation health using the Normalized Difference Vegetation Index (NDVI) based on Landsat 8 imagery data from 2013 and 2023. Over the decade, forest cover declined by 11.65% (2,639.96 ha), while agricultural and built-up areas increased by 15.82% and 5.57%, respectively. LST in built-up areas rose by 0.7C, while vegetated areas experienced a 1.1C temperature decrease, highlighting the role of vegetation in local climate regulation. NDVI analysis revealed a 5% decrease in high-density vegetation areas and an increase in low vegetation zones, supporting a negative correlation between NDVI and LST. Areas with less vegetation exhibited higher temperatures. These findings emphasize the need to integrate vegetation and surface temperature indicators into spatial planning. Preserving vegetative cover is essential for mitigating climate risks such as drought and forest fires. This study provides evidence-based guidance for sustainable development and disaster risk reduction in small island cities like Sabang.
Integration of machine learning and climate data for enhanced dengue hemorrhagic fever (DHF) prediction: A case study in Banda Aceh Puspitasari, Rizka; Gan, Connie Cai Ru; Yani, Muhammad; Zahrina, Zahrina; Abidin, Taufik Fuadi
International Journal of Disaster Management Vol 8, No 2 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i2.47069

Abstract

The increasing impact of climate change, including rising average temperatures and altered precipitation patterns, has led to changes in the prevalence and distribution of climate-sensitive diseases (CSDs), such as Dengue Hemorrhagic Fever (DHF). DHF remains a significant public health concern in Indonesia, particularly in Banda Aceh, due to its high incidence. The burden on healthcare systems is substantial, contributing to increased morbidity and mortality, especially among vulnerable populations. This study aimed to integrate climate data with machine learning methods to develop predictive models for DHF incidence. Data from 2010 to 2023 included DHF case counts and monthly climate variables such as humidity, rainfall, temperature, and wind speed. The predictive models employed Gradient Boosting, Support Vector Regression (SVR), Random Forest, and Linear Regression algorithms. Model performance was evaluated by comparing prediction accuracy using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) metrics. The results demonstrated that the Linear Regression model predicted monthly DHF incidence with greater accuracy than the other models, as indicated by lower MAE and RMSE values. These findings suggest that integrating climate data with machine learning provides an effective tool for early warning systems for DHF, supporting public health planning and interventions in Banda Aceh City, particularly in anticipation of an increase in DHF cases.
Evaluating tsunami evacuation routes and shelter capacity using GIS and travel time analysis in Aceh Besar, Indonesia Tarihoran, Miswar; Mutiawati, Cut; Fisaini, Juliana
International Journal of Disaster Management Vol 8, No 2 (2025)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v8i2.33645

Abstract

Tsunamis remain a major hazard for coastal populations, particularly in tectonically active zones such as Indonesia. Strategic evacuation planning plays a critical role in minimizing disaster impacts and improving local resilience. This research focuses on identifying appropriate Temporary Evacuation Stations (TES), Final Evacuation Stations (FES), and accessible evacuation routes within Aceh Besar Regency, utilizing road geometry and estimated travel time as key criteria. Geospatial datasetsincluding road networks, facility locations, and elevation profileswere processed using Geographic Information System (GIS) analysis and tsunami inundation modeling. The analysis shows that Neuheun Village contains five TES and four FES, Lamnga hosts one TES, while Baro lacks suitable evacuation infrastructure. Many routes in the study area fall short of standard requirements for width and travel time, especially for pedestrians. Existing TES buildings can accommodate only about 34.52% of the total population. Although motorbikes serve as practical evacuation options, the narrowness of roads limits the use of cars. These findings emphasize the pressing need for additional vertical evacuation shelters and enhancements to road networks to support effective tsunami response strategies.
Climate Smart Disaster Risk Reduction: Indigenous Knowledge Practiced for Housing Technology in Coastal Zone of Bangladesh Faisal, Md.; Biswas, A. K. M Abdul Ahad; Saha, Milton Kumar
International Journal of Disaster Management Vol 7, No 1 (2024)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v7i1.36786

Abstract

The coastal region of Bangladesh is highly vulnerable to climate-induced natural disasters, with the population frequently experiencing various calamities. Over generations, inhabitants have developed indigenous knowledge and techniques to mitigate these impacts. This study examines traditional practices for enhancing housing resilience in Dashmina Upazila, Patuakhali District, a region prone to such disasters. By employing a multi-method approach, the research began with Focus Group Discussions (FGDs) involving 14 groups of 6-10 participants to explore indigenous knowledge on housing adaptation. This was followed by Key Informant Interviews (KIIs) with 16 individuals, including social leaders and NGO workers, to validate and expand on FGDs findings. Direct Observations through transect walks, Case Studies for in-depth analyses, and a review of secondary data from reports and articles complemented the primary data. Data were analyzed using Microsoft Excel 2010 for both quantitative summaries and descriptive qualitative analysis, with a SWOT analysis employed to assess the strengths, weaknesses, opportunities, and threats of these practices. The study identified effective traditional practices such as Raised Homestead Platforms and Deep-Rooted Pillars, which improved resilience against cyclones and flooding, although challenges such as erosion and material durability were noted. Additionally, Securing Roofs with crossbeams, Heavy Weight Hanging at roof corners, and Planting Disaster-Resistant Trees provided additional protection. Practices like Tying Houses to Trees or Pillars and using Lightweight Materials for riverbank erosion were found to be practical but faced durability issues. Overall, these traditional practices significantly enhance housing resilience, offering cost-effective solutions with actionable improvements. Recommendations include employing more durable materials and enhancing community awareness, highlighting the importance of integrating traditional knowledge with modern strategies for effective disaster risk reduction and climate adaptation. The study suggests that these indigenous practices should be taken into account in decision-making processes for planning any development projects aimed at reducing the risk of disasters
Institutional Studies of Keureuto Watershed Water Resources Management as Disaster Mitigation Dianto, Rinal; Azmeri, Azmeri; Yulianur, Alfiansyah
International Journal of Disaster Management Vol 7, No 1 (2024)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v7i1.36375

Abstract

The Keureuto watershed is one of the priority watersheds in Aceh. The pressure on the Keureuto watershed is increasing due to climate change and regional growth. This watershed has the highest flood probability and victims in Aceh, reducing its water resources management effectiveness. This study aimed to examine the form and condition of the Keureuto watershed management institution and its future challenges. Data were collected using questionnaires administered to institutions and entrepreneurs directly involved in managing Keureuto watershed water resources. The data were then analyzed using the SWOT model. The parameters examined include operation patterns, management, and perceptions of individuals involved in regional development and the water sector. The results of the analysis show that budget availability and coordination between stakeholders influence water resources management in the Keureuto watershed. The problems in the Keureuto watershed can be addressed by establishing a particular management body under the ministry or by strengthening existing institutions' authority. The new institution takes the form of an Otorita (a legal entity authorized to conduct business by Presidential Decree) or a particular management agency. The authority needed by the Keureuto watershed management is in budgeting flexibility and the authority to carry out infrastructure activities before and after flooding.
Exploring Community Readiness to Participate in COVID-19 Vaccination: A Study from Urban and Rural Areas of Sub-districts in Aceh, Indonesia Husna, Cut; Salsabila, Diva; Kasih, Laras Cynthia
International Journal of Disaster Management Vol 7, No 1 (2024)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v7i1.36443

Abstract

Community readiness to receive the COVID-19 vaccination will determine the government's success in preventing the spread of COVID-19. Community readiness to participate in vaccination is closely related to information on vaccine ingredients (halal) and the positive and negative effects of the COVID-19 vaccine. Several factors related to the communitys readiness to participate in the COVID-19 vaccination, namely: confidence, complacency, constraints, calculation, collective responsibility, compliance, and conspiracy. The aim of this study was to identify the differences in community readiness for COVID-19 vaccination in two sub-districts in Aceh, Indonesia. A comparative study with a retrospective design was used in this study. The sampling was 200 people who had carried out the COVID-19 vaccination for two sub-districts. The samples were obtained by using a purposive sampling method. The data were collected using a standardized questionnaire, the 7C Vaccination Readiness Scale Questionnaire. The Mann-Whitney u-test revealed that, generally, the community readiness in two sub-districts to participate in COVID-19 vaccination was different (p=0.003). The sub-scales of community readiness in COVID-19 vaccination of complacency (p=0.003), constraints (p=0.000), calculation (p=0.012), and collective responsibility (p=0.000) showed significant differences. However, no difference in readiness on confidence (p=0.053), compliance (p=0.051), and conspiracy (p=0.419). The results of this study found sociodemographic factors such as religion and belief, highest education level, support systems, and information about the COVID-19 vaccination could be related to the research findings.
A Perspective of Geomorphology for Landslide Susceptibility and its Applied in the Taji Village-Malang Regency as Vulcanic Area Masruroh, Heni; Bachri, Syamsul; Purwanto, Purwanto; Mutia, Tuti
International Journal of Disaster Management Vol 7, No 1 (2024)
Publisher : TDMRC, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/ijdm.v7i1.32884

Abstract

Landslides are Indonesia's second-largest disaster during 2020-2022. Many researchers have conducted research related to landslides, i.e., landslide susceptibility with statistical, heuristic, geomorphological approaches and landslide disaster risk. The geomorphological approach is one approach in the study of landslides that can represent morphology, morphostructure, morphochronology, and morphoarrangements. This research aims to explain landslide hazard mapping using a geomorphological approach, evidenced by a case study in the Gede watershed as one of the watersheds in Taji Village. The method used in this research is Geomorphology approach using a systematic literature review. Furthermore, landslide susceptibility analysis has been carried out using a geomorphological approach with topographic position analysis a case study in Taji Village. The results showed that landslides can be more specifically identified through morphology, surface material resulting from morphochronological and morphological processes, and existing and dormant geomorphological processes. These four aspects can be used as the key to the identification of landslide hazards. Based on the geomorphological approach, as much as 52.13% is very high vulnerability located on the upper slope morphology, 25.45% high vulnerability on the middle slope, 10.16% medium vulnerability on the lower slope, and 12.26% low vulnerability on the slope morphology foot.

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