scholarly journals Natural Disaster and Its Devastation

2015 ◽  
Vol 2 (4) ◽  
Author(s):  
Dr. Meghamala.S.Tavaragi ◽  
Mrs. Sushma. C ◽  
Dr. Srinivas Kosgi ◽  
Mrs. Mallika. B. N ◽  
Mrs. Gayatri Hegde ◽  
...  
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Volcanic Eruptions ◽  
Natural Phenomenon ◽  
Nepal Earthquake ◽  
Crisis Situation ◽  
Post Traumatic ◽  
Acts Of God

‘Disaster is a crisis situation that far exceeds the capabilities’. Disaster includes natural and man- made disasters. Natural disasters are brought about by change in natural phenomenon or what is known as acts of God. Manmade disasters are also known as anthropogenic disasters and they as a result of human intent, error or as a result of failed systems. Natural disasters include things such as floods, volcanic eruptions, earthquakes, floods, tornadoes, landslides and hurricanes. Manmade disasters are technological hazards, sociological hazards and transportation hazards etc .Earthquake being a type of natural disaster is being given specific importance in these journal due to recent devastating effects of earthquake in Nepal and neibouring countries like India. Along with incidence of Nepal earthquake, list of 10 most powerful earthquakes is mentioned to know the magnitude of devastation caused by earthquake. Like earthquake, be it any disaster, manmade or natural, almost everyone in the population is affected by it. It gives a brief account of psychiatric morbidities due to disasters in India. Those who suffer damage are called victims. The victims may die or live. Those who manage to live are called survivors. No particular event is guaranteed to result in post-traumatic psychopathology. It also mentions briefly of what disaster is and types of disasters are natural and manmade.

scholarly journals The Impact of Natural Disaster on Mental Health of Victims Lives: Systematic Review

2020 ◽  
Vol 2 (3) ◽  
pp. 65-85
Author(s):  
Kristia Novia ◽  
Tita Hariyanti ◽  
Laily Yuliatun
Keyword(s):  
Mental Health ◽  
Systematic Review ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Post Traumatic Stress ◽  
Post Traumatic ◽  
The Impact

Natural disasters are still a matter of the world until today. The events pose not only physical impact but also psychological impacts that leave deep sorrow and fear. The survivors of the disaster felt they were at a very unsettled condition, felt very fearful, felt agitated for uncertain circumstances, and became very easily panicked until they could experience anxiety, depression, and post-traumatic stress disorder (PTSD). This systematic review aims to identify the impact–effects often posed by natural disasters on the soul health of survivors. Data searching is done on the Proquest, Pubmed, Science Direct, Sage, and Scopus databases that were converged in the 2013 to 2019 ranges. The psychological impact experienced by the victims after natural disaster events are depression, post-traumatic stress disorder (PTSD), fear, suicide experiments, and other mental health disorders such as mood changes and a loss of interest in an activity. Natural disasters can hurt the mental health of the victims. If the psychological problems that occur to the victims are not immediately addressed, the victims will fall on more mental severe disorder conditions.

scholarly journals Pengelompokkan Data Bencana Alam Berdasarkan Wilayah, Waktu, Jumlah Korban dan Kerusakan Fasilitas Dengan Algoritma K-Means

2020 ◽  
Vol 4 (3) ◽  
pp. 744
Author(s):  
Murdiaty Murdiaty ◽  
Angela Angela ◽  
Chatrine Sylvia
Keyword(s):  
Data Mining ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Data Clustering ◽  
Volcanic Eruptions ◽  
Marine Resources ◽  
Clustering Techniques ◽  
Data Mining Approach ◽  
Disaster Data ◽  
Property Losses

Indonesia has fertile soil, natural resources and abundant marine resources. However, Indonesia is also not immune to the risk of natural disasters which are a series of events that disturb and threaten life safety and cause material and non-material losses. Indonesia's strategic geological location causes Indonesia to be frequently hit by earthquakes, volcanic eruptions and other natural disasters. From the data collected, natural disasters that occurred in Indonesia consisted of several categories, namely earthquakes, volcanic eruptions, floods, landslides, tornados, and tsunamis. Many natural disasters in Indonesia have caused casualties, both fatalities and injuries, destroying the surrounding area and destroying infrastructure and causing property losses. The trend of increasing incidence of natural disasters needs to be further investigated to prevent the number of victims from increasing. This information can be obtained through a data mining approach given the large amount of data available. In relation to natural disaster data, clustering techniques in data mining are very useful for grouping natural disaster data based on the same characteristics so that the data can be adopted as a groundwork for predicting natural disaster events in the future. Thus, this research is supposed to group natural disaster data using clustering techniques using the k-means algorithm into several groups, in terms of natural disaster types, time of disaster, number of victims, and damage to various facilities as a result of natural disasters

scholarly journals Pentahelix synergity natural and non-natural disaster management in Pidie Jaya District Aceh Province to support national security

2021 ◽  
Vol 331 ◽  
pp. 02008
Author(s):  
Sugeng Yulianto ◽  
Fauzi Bahar ◽  
Sugimin Pranoto ◽  
Aam Amirudin
Keyword(s):  
National Security ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Disaster Management ◽  
Volcanic Eruptions ◽  
Economic Life ◽  
Aceh Province ◽  
Prone Area ◽  
The Government ◽  
Natural Disaster Management

Geographically, Indonesia is located on disaster prone area. Natural disasters such as earthquakes, tsunamis, floods, landslides, volcanic eruptions and non-natural disaster such as Covid-19 Pandemic often occur in various places in Indonesia including in Pidie Jaya, Aceh Province. These disasters have a big influence on many aspects of the socio-economic life of the affected communities. Managing disaster properly will reduce the risk so that it will provide security and resilience community that can anticipate all the impacts of disasters. Collaboration in the form of the Pentahelix Synergy concept involving elements of the Government, Society, Academics, and the Business Industries is one of the important aspect in disaster management. Furthemore, the mass media and the private sector will provide great energy to solve the problem during disaster. This paper discuss about the synergy of Pentahelix in dealing with natural and non-natural disasters in Pidie Jaya Regency, Aceh Province. The results will be useful as lesson learned to support National Security program in Indonesia.

scholarly journals The Analysis of the Determination of the Funding Bpbd Perdaerah using the Method of Mfep in West Sumatra

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 198-203
Author(s):  
Nugraha Rahmansyah ◽  
Shary Armonitha Lusinia
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Central Government ◽  
Evaluation Process ◽  
Volcanic Eruptions ◽  
Existing Problems ◽  
West Sumatra ◽  
Information And Communication ◽  
Government Data ◽  
Natural Disaster Management

A natural disaster is a disaster caused by event or series of events caused by nature, such as earthquakes, tsunamis, volcanic eruptions, floods, droughts, hurricanes, and landslides. In this case the action of handling and natural disaster management is the responsibility of the central government and local government. Data budget or funding indicative SKPD BPBD West Sumatra that has been composed must be as effective as possible in its distribution. With the use of information and communication technology can help in penentuaan funding in each area. This study analyzes the natural disasters that occurred in each region in West Sumatra to determine funding in tackling natural disasters. In this case, day this provide a solution to existing problems by creating a decision support system methods of Multifactor Evaluation Process (MFEP).

scholarly journals DEVELOPING TROPICAL LANDSLIDE SUSCEPTIBILITY MAP USING DINSAR TECHNIQUE OF JERS-1 SAR DATA

2013 ◽  
Vol 8 (1) ◽  
Author(s):  
Ilham Alimuddin ◽  
Luhur Bayuaji ◽  
Haeruddin C. Maddi3 ◽  
Josaphat Tetuko Sri Sumantyo ◽  
Hiroaki Kuze1
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Landslide Susceptibility ◽  
Volcanic Eruptions ◽  
Geographical Information ◽  
Susceptibility Map ◽  
Landslide Susceptibility Map ◽  
Landslide Event ◽  
Before And After ◽  
Sar Data

Comprehensive information in natural disaster area is essential to prevent and mitigate people from further damage that might occur before and after such event. Mapping this area is one way to comprehend the situation when disaster strikes. Remote sensing data have been widely used along with GIS to create a susceptibility map. The objective of this study was to develop existing landslides susceptibility map by integrating optical satellite images of Landsat ETM and ASTER with Japanese Earth Resource Satellites (JERS-1) Synthetic Aperture Radar (SAR) data complemented by ground GPS and feature measurement into a Geographical Information Systems (GIS) platform. The study area was focused on a landslide event occurred on 26 March 2004 in Jeneberang Watershed of South Sulawesi, Indonesia. Change detection analysis was used to extract thematic information and the technique of Differential SAR Interferometry (DInSAR) was employed to detect slight surface displacement before the landslide event. The DInSAR processed images would be used to add as one weighted analysis factor in creating landslide susceptibility map. The result indicated that there was a slight movement of the slope prior to the event of landslide during the JERS-1 SAR data acquisition period of 1993-1998. Keywords: Optical Images, JERS-1 SAR, DInSAR, Tropical Landslide, GIS, Susceptibility Map 1. Introduction Recently, natural disasters increased in terms of frequency, complexity, scope, and destructive capacity. They have been particularly severe during the last few years when the world has experienced several large-scale natural disasters such as the Indian Ocean earthquake and tsunami; floods and forest fires in Europe, India and China, and drought in Africa (Sassa, 2005). Mapping such natural disaster areas is essential to prevent and mitigate people from further damage that might occur before and after such event. In Indonesia in particular, in these recent years natural disasters occurred more frequently compared to the last decade (BNPB, 2008). Once within a month in 2011, in three different islands, Indonesia was stricken by earthquake, tsunami, flash floods, and volcanic eruptions with severe fatalities to the people and environment. It was obvious that Indonesia was prone to natural disaster due to its position of being squeezed geologically by three major world plates and this fact makes Indonesia one of the most dangerous

Analisa Data Bencana Alam Untuk Prediksi Dampak Yang Ditimbulkan Dengan Algoritma J48 (Studi Kasus : Palang Merah Indonesia)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Dewi Shintya Lumbansiantar
Keyword(s):  
Data Mining ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Volcanic Eruptions ◽  
Red Cross ◽  
Natural Event ◽  
Disaster Data ◽  
Mining Methods ◽  
Using Data ◽  
The Impact

Natural disaster is a natural event that is difficult to avoid and difficult to estimate the exact impact of natural disasters that can be fatalities, social environment, propety, losses, even distrubance to the community even though it is very likely to occur. As for the disasters that often occur in Indonesia including floods, landslides, tsunamis, earthquakes and volcanic eruptions. The lack of relief supplies provided by the Indonesian Red Cross (PMI) was caused by the absence of data on the need for assistance provided. Therefore it is necessary to analyze natural disaster data that has happened before to be used to predict the impact caused by natural disasters. Prediction of the amount of assistance needed can be done using data mining techniques, therefore this study amis to analyzenatural disaster data using data mining methods using the J48 algorithm. To analyze natural disastr data for prediction of the impact can be used by rapidminer testing so that the results can be in the form of a decision tree.Keywords: Data Mining, Natural Disaster Data, J48 Algorithm

scholarly journals Penanggulangan Kesehatan Dalam Kondisi Pasca Bencana Dusun Ujung Indah, Desa Cilellang, Kecamatan Mallusettasi, Kabupaten Barru

2020 ◽  
Vol 1 (1) ◽  
pp. 11-14
Author(s):  
Amran Nur ◽  
Veronica Margareth Dampung
Keyword(s):  
Risk Management ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Forest Fires ◽  
Volcanic Eruptions ◽  
Disaster Risk ◽  
International Strategy ◽  
Health Prevention ◽  
Disaster Reduction ◽  
Catastrophic Event

Abstract: Indonesia has been declared as one of the most disaster-prone countries according to the United Nations International Strategy for Disaster Reduction. Indonesia ranks 6th among countries prone to disasters. Indonesia is prone to natural disasters such as earthquakes, tsunamis, volcanic eruptions, and others as well as non-natural disasters such as floods, infectious diseases, forest fires, and others, as well as social disasters in the form of social conflicts in various regions. One of the concepts of disaster management is disaster risk management, At this stage, efforts should be made if a catastrophic event occurs, damage and losses with a large enough scale of impact can be avoided and minimized by mitigating education to the community. Because the location of this village is on the seashore and has a watershed that could threaten the safety of the population, therefore a health prevention socialization will be carried out if at any time an unwanted natural disaster occurs. Keywords: natural disasters, Barru Districts, disaster risk, countermeasures.

The “building block” effect of prior trauma for psychological outcome in victims of a natural disaster

2016 ◽  
Vol 33 (S1) ◽  
pp. S214-S215
Author(s):  
B. Kraemer ◽  
S. Schumacher ◽  
B. Winkel ◽  
C. Imboden ◽  
L. Wittmann
Keyword(s):  
Natural Disasters ◽  
Natural Disaster ◽  
Building Block ◽  
Psychiatric Morbidity ◽  
Depression Scale ◽  
Dose Effect ◽  
Indian Ocean Tsunami ◽  
Psychological Outcome ◽  
Post Traumatic ◽  
Block Effect

BackgroundWith increasing numbers of previous traumatic experiences, a rising risk of psychiatric morbidity and in particular post-traumatic stress disorder following an acute trauma has been reported. This dose-effect relationship was called the building block effect. Most results are derived from studies on riot and prosecution victims. We investigated victims of a natural disaster with respect to the building block effect due to prior traumatization.MethodsWe assessed tourists who had been affected by the Indian Ocean Tsunami 2004 using the Post-traumatic Diagnostic Scale, the Hospital Anxiety and Depression Scale, and the Post-traumatic Growth Inventory. Outcome variables were related to the numbers or prior civil trauma according to the trauma history scale of the PDS.ResultsWe found a building block effect for the development of anxiety (P = 0.018) and by trend with PTSD symptoms (P = 0.06), but not with depressive symptoms (P = 0.436). Prior traumatization and the actual Tsunami exposure significantly explained variance of personal posttraumatic growth (P = 0.013). Prior interpersonal traumata emerged as a strong risk factor for the development of posttraumatic psychiatric morbidity.ConclusionsWe suggest that an increasing number of trauma is closely associated with anxiety but not with depressive disorders in the aftermath of natural disasters. For clinical practice, it is necessary to ask victims of natural disasters about prior traumatization, in particular about prior interpersonal trauma.Disclosure of interestThe authors have not supplied their declaration of competing interest.

When Mother Earth Rises Up

2013 ◽  
Vol 44 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Simona Sacchi ◽  
Paolo Riva ◽  
Marco Brambilla
Keyword(s):  
Free Will ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Mental States ◽  
Disaster Victims ◽  
Willingness To Help ◽  
Mother Earth

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.

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