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Banda Aceh City has high vulnerability to tsunamis due to its coastal location directly facing the sea and being situated in an active tectonic zone. This study evaluates the spatial distribution of tsunami risk and assesses coastal conditions as disaster mitigation efforts using a mixed-method approach that combines quantitative analysis based on Geographic Information Systems (GIS) and qualitative analysis through field surveys and expert assessments. Three beaches were selected as study locations: Ulee Lheue Beach, Syiah Kuala Beach, and Alue Naga Beach, with risk assessment calculated using the formula Risk = (H × V) / C according to the BNPB framework and overlay techniques in GIS to create risk distribution maps. Coastal condition evaluation focused on coastal vegetation and protective coastal structures assessed using an ordinal scale of 1–5. Results show that Ulee Lheue Beach has the highest mitigation capacity with a score of 64.5% (good category), Syiah Kuala Beach reaches 57.5% (fairly good), while Alue Naga Beach has the lowest score of 28.3% (poor). Correlation analysis yielded a coefficient of r = 0.97, indicating a very strong positive relationship between coastal vegetation and protective coastal structures. Therefore, the study recommends strengthening mitigation strategies through improved protective infrastructure and optimization of coastal vegetation functions, particularly in high-risk areas, to reduce tsunami impacts in the future.

Indonesia is prone to natural disasters because it is located at the confluence of three active tectonic plates. This condition causes high earthquake, volcano, and tsunami activity in Indonesia. Mount Kelud is the most active volcano in Indonesia with cycles that recur every 8 to 15 years. The community service method carried out is to collect data on the area, population, targets, capacity, vulnerability level, and empirical data on the 2014 eruption of Mount Kelud. Then conduct analysis, calculate estimates of health logistics needs, especially reproductive health, socialize the results of the analysis, and conduct disaster preparedness education. This activity was carried out for 6 weeks from March 12 to April 21, 2025. Based on the results of the risk assessment, the Ngancar District, Kediri Regency area has a score of frequent risk scale, severe impact scale, and priority and impact scale in the high category. To overcome the health crisis, a contingency plan is needed, especially for the reproductive health sub-cluster, which includes the preparedness of target data, existing capacity in the region, the level of vulnerability, and the estimated amount of health logistics needed to anticipate the eruption of Mount Kelud. Mount Kelud has a periodic eruption pattern in 8 to 15 years. The contingency plan for dealing with the health crisis of the eruption of Mount Kelud is very important for health service stakeholders because it can minimize the adverse impacts caused, increase rapid response, and ensure smooth coordination between related institutions in dealing with the natural disaster effectively and efficiently. It also supports disaster risk reduction efforts at the community level and strengthens the resilience of local communities.

Indonesia is a developing country located at the convergence of four tectonic plates, making it highly prone to natural disasters such as earthquakes, tsunamis, landslides, and volcanic eruptions. These frequent disasters highlight the critical need for reliable electricity during emergencies. However, disaster-affected areas often struggle to restore power due to accessibility issues. To address this, alternative energy sources are needed, and Solar Power Plants (PLTS) offer a practical solution. PLTS are easy to implement, depend only on sunlight, and provide clean energy with low carbon emissions. Under clear skies, solar radiation can reach 1,000 Watts per square meter, making it a powerful energy source. Additionally, PLTS systems are adaptable and can be deployed in various formats, including mobile units. This study focuses on designing a Mobile PLTS to support BASARNAS operations in disaster zones. Data collection was conducted using resources from BNPB, BMKG, BASARNAS, and NASA. The analysis includes the geographical characteristics of the site, solar radiation intensity, and the operational dimensions of the BASARNAS Mobile Truck. The study aims to determine the suitable system specifications and estimate the energy production capacity of the Mobile PLTS. The proposed design features 20 solar panels, each with a capacity of 300 Wp, producing an average of 27.70 kWh per day. It also includes 16 batteries for energy storage. The remaining space in the truck can be used for transporting logistics or essential tools, making it a multifunctional unit ideal for disaster response scenarios.

The 2011 Tohoku tsunami stands as one of the most catastrophic natural disasters in Japan’s history, resulting in massive loss of life, extensive property damage, and severe disruption to infrastructure along the northeastern coast. This study aims to examine the physical characteristics of the Tohoku tsunami and critically evaluate the factors that led to the failure of Japan’s disaster mitigation systems. Utilizing an essay-based synthesis approach, this analysis draws from a range of previous research findings and post-disaster assessments. The tsunami was caused by a 9.0 magnitude megathrust earthquake off the eastern coast of Honshu, generating wave heights that exceeded 10 meters in several locations. The tsunami’s immense energy produced destructive currents that penetrated deep inland, surpassing the protection capabilities of existing coastal defenses.The study identifies several contributing factors to the mitigation system’s shortcomings: the design limitations of seawalls, which were not built to withstand such extreme events; delays and limitations in the early warning system’s ability to reach all at-risk populations in time; and inadequate public preparedness, as the event exceeded historical precedents and training scenarios. These vulnerabilities highlight the need for integrated, adaptive disaster risk management strategies.Drawing lessons from Japan’s experience, this study proposes recommendations for improving tsunami mitigation efforts in Indonesia. Key suggestions include reinforcing and redesigning coastal defense structures, advancing early warning technologies such as seabed sensors and coastal radar systems, and enhancing disaster literacy through public education and scenario-based training. By adopting a science- and technology-driven approach, Indonesia can strengthen its resilience and reduce vulnerability among coastal populations facing future tsunami threats.

Palu Bay is located in Central Sulawesi Province and is one of the active seismic bays in Indonesia which is crossed by the Palu-Koro fault segmentation. On September 28, 2018, an earthquake disaster occurred in this area accompanied by a tsunami and liquefaction. Palu City, Sigi Regency and Donggala Regency are areas that are severely affected by this disaster. Research in this region is to determine the level of preparedness of Small and Medium Industries in facing natural disasters in the future. The population of SMEs is 745 businesses/people with a probability sampling technique, namely Proportional Random Sampling. The assessment was carried out through a questionnaire involving 260 SME samples randomly selected in the three regions. The results of the study illustrate that the total preparedness of SMEs in the Palu Bay Area in facing natural disasters is 34.9% of respondents stated as "less prepared" to face natural disasters, 58.3% "somewhat prepared" and only 6.8% stated as "ready" while no respondents were "very prepared" to face natural disasters. The lack of preparedness of SMEs requires attention from all stakeholders, especially the Government through its program to improve disaster resilience for the community, especially Small and Medium Industry (SME) actors in this Region.

Decision making with the application of the Analytic Hierarchy Process (AHP) Method has been widely applied in various fields. One of them is in the field of disaster mitigation. This study aims to determine the types of disaster mitigation that apply the AHP Method in determining decisions. The research method uses the Narrative Review Method to describe and analyze various research literature on disaster mitigation using the AHP Method. The research method begins with a literature search with a limitation of 2019-2024 and the literature is only in the form of articles that have been published. 11 related articles were found that were successfully summarized. The results of the study stated that there are several types of research articles related to disaster mitigation that have implemented the AHP Method in their decision support systems, such as in research on flood-prone zoning, landslide-prone zoning, priority alternatives for flood control efforts, landslide risk factors, analyzing tsunami disaster risks, air evacuation routes and others.

Blitar Regency, which directly borders the Indian Ocean on the south side, has the potential for a tsunami disaster. Ringinrejo Village, Wates District, which is potentially affected by the tsunami disaster, is on the coast of Jolosutro Beach with a population of 334 people. The large population in coastal areas makes social and economic vulnerability an important factor in disaster management. This research aims to analyze social and economic vulnerability per inhabited building block using the SoVI method, analyzing the distribution of social and economic vulnerability using the GIS method, and the dominant factors influencing social and economic vulnerability using the stepwise regression method. The research results show that: (1) the level of social and economic vulnerability is 36.63% at a medium level of vulnerability with 37 households, 28.71% at a low level of vulnerability or 29 households, 26.73% at a high level of vulnerability with 27 houses households, 3.96% at very low and very high levels of vulnerability with 4 households each.  The need for involvement of all parties to reduce the potential for a tsunami disaster in Ringinrejo Village, Wates District, Blitar Regency.

Participation from all parties is important in post-disaster rehabilitation and reconstruction because it is the most complex activity in disaster management from the planning process, funding, and implementation. A Tsunami that struck Sunda strait in December 2018 caused a great loss and immediate response is necessary. The delay of rehabilitation and reconstructions affected the stability of national security. Therefore, all parties need to take part in post-tsunami recovery so that the disaster recovery process implemented effectively and efficiently. The purpose of this study was to analyze the participation of society in the post-tsunami rehabilitation and reconstruction management in Pandeglang district, coordination networking, and contributions to national security. The qualitative method is used in this research from the primary and secondary databases. For the purposes of this study, the primary data were gathered through face-to-face interviews from the subjects of research who were chosen based on purposive sampling and snowball methods. The data analyzed qualitatively and simulation by UCINET 6 is used for coordination networking. The result shows that all parties had taken part in the Pandeglang post-tsunami recovery management from the planning process, implementation, monitoring, and evaluations. The level and form of community participation are diverse.

Disaster mitigation is an effort to reduce casualties and provide a proper and good understanding to the public regarding natural disasters. This activity aims to provide early insight and knowledge regarding natural disasters. The method of implementing this community service uses the socialization method with Rutong State Elementary School students as participants. This socialization material focuses on mitigating the tsunami and earthquake disasters, a major threat to Rutong Village, located in a coastal area.

Bencana alam adalah bencana yang diakibatkan oleh peristiwa atau serangkaian peristiwa yang disebabkan oleh alam, antara lain berupa gempa bumi, tsunami, gunung meletus, banjir, kekeringan, angin topan, dan tanah longsor. Kesiapan tanggap masyarakat dalam penanggulangan bencana memiliki peran yang cukup penting, karena akan berpengaruh pada tindakan masyarakat ketika bencana terjadi. Penelitian ini bertujuan untuk diketahui faktor-faktor yang berhubungan dengan kesiapan tanggap bencana banjir. Metode penelitian ini menggunakan pendekatan cross sectional. Sampel dalam penelitian ini berjumlah 34 orang dengan menggunakan teknik pengambilan sampel accidental sampling. Hasil penelitian berdasarkan pada uji statistik chi square didapatkan faktor pengetahuan dengan p-value = 0,028 (p<0,05), faktor sikap dengan p-value = 0,035 (p<0,05 dan faktor pengalaman kesiaapan tanggap dengan p-value = 0,643 (p>0,05) serta berdasarkan uji analisis yang paling dominan dengan kesiapan tanggap bencana adalah faktor pengetahuan dengan nilai EXP (B) = 4,339. Kesimpulan dalam penelitian ini adalah ada hubungan faktor pengetahuan dengan kesiapan tanggap, ada hubungan sikap dengan kesiapan tanggap, sedangkan pengalaman kesiapan tanggap tidak ada hubungan dengan kesiapan tanggap serta faktor pengetahuan yang paling dominan berhubungan dengan kesiapan tanggap. Diharapkan agar masyarakat lebih tanggap dalam menghadapi setiap kejadian bencana dan selalu aktif mengikuti kegiatan maupun pelatihan terkait bencana