This research aims to assess community coping capacity especially in implementing post-tsunami disaster mitigation and adaptation in the coastal environment of Sumberagung Village. Sumberagung Village is a vulnerable area exposed to the tsunami. The past tsunami in 1994 has caused many losses to the people at Pancer Beach and Pulau Merah Beach. More than 200 people were dead at Pancer Beach. Data collection techniques on this research could be divided into two; primary data and secondary data. Primary data is obtained by conducting field surveys and in-depth interviews with the local inhabitants. While secondary data is obtained through relevant government agencies such as the Regional Disaster Management Agency (BPBD), Village Monograph Data, and Statistics Agency Bureau (BPS). Data identification was carried out in a qualitative descriptive manner by adjusting the findings of the field with the study of existing theories. The results of the study indicate that in general the appeal for the threat of a tsunami disaster has already existed but has not been comprehensive. On the other hand, not all of the inhabitants have not taken many lessons learned from the 1994 tsunami. Adaptation in the form of shelter that is safe from the threat of a tsunami has not been seen by residents in Pancer Beach. This field condition shows that after the 25 years of the tsunami event, the local residents have not been fully able to implement a mitigation strategy, especially on emergency.
Kecamatan Pacet, Kabupaten Mojokerto is one of an area with many landslide events in East Java Province. As a mitigation effort, this research aimed to map the landslide susceptibility class distribution of the research area. This research applied a machine learning analysis technic which combined Frequency Ratio (FR) and Logistic Regression (LR) models to assess the landslide susceptibility class distribution. FR bivariate analysis is used to normalized the data and to identify the influence significancy on each class of triggering factors. LR multivariate analysis is applied to generate the landslide probability (susceptibility) and to show the influence significancy of each triggering factor to landslide events. There are 12 triggering factors to landslide used in this research, which is: TPI, TWI, SPI, slope, aspect, elevation, profile curvature, distance to drainage, geological unit, rainfall, land use, and distance to the road. This research has 383 landslides and 383 non-landslide events as the data sample based on field survey, BPBD Kabupaten Mojokerto, and Google Earth Pro imagery interpretation. The proportion of dataset training and testing is 70% and 30%, which generated from the data inventory. This research used ROC analysis to validate the landslide susceptibility model. The result showed that the landslide susceptibility model has an AUC value of 0.91, which indicated that the model has high accuracy.
Indonesia is a tropical islands-country which frequently impacted to natural disasters. The coastal area of Southern Java Island is one of an area prone to meteorological disasters, including Desa Gajahrejo. Desa Gajahrejo is susceptible to tidal wave disaster owing to its physical condition. Tidal waves disaster impacted both the socio-economic and environment of the area. The aim of this paper to identify the awareness and preparedness of the community and tourism actors in Desa Gajahrejo as the basis of further tourism planning. This research used field observation, in-depth interview and focus group discussion (FGD) as part of a community service agenda for the data-collection methods. The community service agenda was held in Ungapan Beach, which was attended by the representatives of each board in Desa Gajahrejo. The results showed that the tidal waves disaster has one-month, one-year and 5—7 years return periods. It impacted tourism activity both directly and indirectly. The community has good awareness, knowledge, and response to the multi-disaster hazards. It is shown from the well-understanding of the role and function of each board. Despite that, structured and documented planning is still unavailable. Therefore, further contingency planning is needed for tourism activity and disaster management implementation.
Bajulmati Beach is one of the most well-known tourist destinations in the coastal area of the southern Malang Regency. It has several unique tourism destinations to visit. A community-based sea turtle conservation facility is one of them, which is managed by Bajulmati Sea Turtle Conservation (BSTC). This paper aims to describe the environmental conservation education and learning activities of BSTC. This is qualitative research conducted from primary data. Data collection was done using three methods, namely 1) in-depth interview with key informants, 2) focus group discussion (FGD) with LMDH, POKMASWAS, and BSTC, and 3) field survey. The result shows that BSTC has been consistently practicing some main environmental conservation actions in Bajulmati Beach. They are natural school (Sekolah Alam) twice a week, sea turtle’s hatchling nest protection, clutch relocations, post-hatchling care, baby sea turtle releases, and environmental conservation education for the locals and tourists. In general, education and learning activities are increasing the environmental knowledge of the targeted audience. Furthermore, it is slowly shaping a more positive environmental attitude towards the locals.
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