Geosfera Indonesia

The Urgency of Integrating Local Wisdom and Disaster-Resilient Character in the Merdeka Curriculum through the Disaster-Safe Education Unit

2024-12-19T13:45:36+07:00

Disasters can occur at unpredictable times; therefore, an appropriate disaster mitigation is needed. This research question is about how to integrate local wisdom and disaster resilience in the Merdeka Curriculum through a disaster-safe education program unit. Therefore, this study aims to reveal the importance of this integration. Questionnaires were distributed via Google Forms to all teachers in Aceh and several other regions in Indonesia, such as vocational school teachers in Kalimantan. A total of 144 teachers were respondents in this research. In addition, data was collected through the study literature review (SLR) method. The results of this study are (1) the value of local wisdom needs to be integrated into learning in the Merdeka curriculum to improve disaster resilience, (2) the Project Strengthening Pancasila Profile in the Merdeka Curriculum can support the integration of local cultural values and the character of disaster resilience, (3) the program The Disaster Safe Education Unit has an important role in disaster risk reduction. Therefore, stakeholders, the community, and the government need to pay attention to this condition to create students and communities who have a disaster-resilient character.

Advanced Machine Learning Techniques for Tidal Marsh Classification: A Random Forest Approach using Sentinel-2A

2024-12-19T15:50:57+07:00

Tidal marshes play a vital role in coastal ecosystems, functioning in climate change mitigation, water filtration, and protection from coastal erosion. However, mapping and monitoring of these ecosystems is often hampered by difficult accessibility and dynamic environmental conditions. This study aims to improve tidal marsh classification accuracy by applying a Random Forest (RF) algorithm supported by Sentinel-2A satellite imagery. This image provides various spectral parameters and vegetation indices, including B1, GNDVI, BSI, and NDWI. Three RF models with varying parameters were tested to determine their effectiveness in tidal marsh classification. The model with 26 parameters (Model 3) performed best, with the lowest RMSE value of 0.22, the highest AUC of 0.87, and the highest overall accuracy of 95%. These results show that combining critical spectral parameters in the RF model can significantly improve the classification accuracy and biomass estimation in tidal marshes. This study also confirmed the effectiveness of Random Forest in addressing the challenges of high-accuracy mapping and monitoring. These findings provide a solid foundation for tidal marsh ecosystem conservation and management applications and support the application of machine learning in coastal ecosystem mapping for better and more accurate results.

Procedural Planning System for Appropriate Land Use Configuration: Anticipating Tsunami in Glagah Village, Yogyakarta

2024-12-19T21:28:34+07:00

The establishment of Kulon Progo as a strategic zone must consider the threat of coastal disasters besides aspiring economic growth and development. By employing Unmanned Aerial Vehicles for data acquisition, this research modeled flood inundation and developed theoretical contributions on tsunami hazard, vulnerability, capacity, and risk, as well as a procedural planning system for reconfiguring land use that emphasized the mitigation aspects. This study found that the tsunami hazard index in Glagah Village was in a low category, dominated by vacant land and sandy land, accounting for up to 25.38% of the total area. Besides, vulnerability and risk in Glagah Village were mostly in a moderate index, while its capacity was categorized as high since the village already had an evacuation route, a notable tsunami early warning system, and was equipped with safety gear. By combining the index values for hazard, vulnerability, and capacity, the tsunami disaster risk in Glagah Village was categorized as moderate. Spatial planning in Glagah Village recommended that the main facilities related to community activities, such as transportation and housing, be located in areas not exposed to the tsunami. This plan allows everyone to evacuate themselves while being reinforced by a security warning system that stays on alert. Furthermore, detailed spatial maps are expected to be useful as instruments for tsunami disaster mitigation at the pre-disaster stage by recommending better land use configurations.

An Analysis of Public Schools Availability and Affordability in Small Islands (Case Study: Sabang Municipality)

2024-12-20T06:15:16+07:00

Based on geographical location, Sabang municipality is located in an archipelago far from big cities and has a relatively small population so that the fulfillment of educational facilities needs attention. This study aims to analyze and evaluate the availability and affordability of public elementary schools, junior high schools, and senior high schools in Sabang Municipality. This study uses quantitative and qualitative approaches (mix methods). The analysis of availability and affordability was carried out by calculating serviceability and buffering analysis based on normative reference and was completed with interviews with stakeholders of the Education Office. The results of the study show that for detailed availability, namely elementary schools, junior high schools, and senior high schools are all categorized as deficits, while for detailed affordability, namely, elementary schools are categorized as high, junior high schools are categorized as medium, and senior high schools are categorized as high. The government explained that the availability and affordability of public schools at the elementary schools, junior high schools, and senior high schools levels are adequate and accessible, especially equipped with transportation facilities. The conclusion shows that although this study focuses only on public schools so that it is found that the availability is still a deficit, on the other hand the location of the school can be reached, so it can be interpreted that the location of the school is strategic.

Multi-Criteria Analysis Approach for Potential Flood Areas Mapping in The Bedadung River Watershed, Jember Regency

2024-12-20T19:26:33+07:00

Flood disasters often result in negative impacts, including damage to property, infrastructure, and loss of human lives. Identifying flood-prone areas and implementing appropriate prevention measures can significantly reduce its adverse effects. Mapping potential flood plays a key role in land use planning, early warning systems, emergency response, and flood mitigation efforts. In recent years, the Bedadung Watershed has faced issues of fluctuations in water discharge and it has a potential to cause flooding in Jember regency. This study aims to assess the flood vulnerability level in the Bedadung Watershed using parameter’s scoring and weighting methods, followed by an overlay or merging of each parameter. The research findings indicate that parameters influencing flood potential in the Bedadung Watershed are land use and land cover, slope and elevation area, and soil type. The results showed that the areas which are identified as vulnerable and highly vulnerable are mainly located at low elevations (0-500 m) with tend to be safe from occurring flood even though the level of rainfall is high. On the other side, the vegetation cover areas showed the low vulnerable from flood

Measuring Geography Online Learning in The First Year Using The Online Learning Quality Index Based on Teachers and Learners’ Perceptions (OLQ-TLP)

2024-12-27T16:53:22+07:00

Online learning is a relatively new thing for some teachers in South Kalimantan. It was the first time for these teachers to do online learning since the government took the policy of learning from home due to the disaster emergencies and environmental change. This study aims (1) to determine the perception of geography teachers in South Kalimantan who have just done online learning for the first time, and (2) to determine the quality of online learning that has been implemented based on the mean index value of each factor. The research was designed with a quantitative approach through an online survey of 26 geography teachers who teach 10th grade at the high school level. The sample was selected by Cluster Random Sampling. The questionnaire instrument used a modified the online learning quality index based on teachers and learners’ perceptions (OLQ-TLP). The research time was from December 2020 to February 2021. The results showed that teachers' perceptions of online learning were in a good category. Based on the index value, factors that have good quality are Learner content, Learner interaction, Instruction interaction, Social Presence, and Course design. Other factors still need to be improved, namely the factors of Learner satisfaction, Knowledge acquisition, Learning platform, Instruction, Learning support, and Ability of transfer. Therefore, to improve teachers' expertise in online geography learning on lithosphere material, training with an innovative Digital Education Shifting (DES) approach is needed.

Erosion Prediction Based on Terrestris Survey and RUSLE Method (Revised Universal Soil Loss Equation) in Precet Forest Park, Wagir, Malang

2024-12-07T16:09:40+07:00

Erosion was a process that led to decreased land productivity and soil layer depletion. Four factors affected erosion, including erosivity, erodibility, slope and land cover. This study aimed to assess erosion predictions based on the results of field measurements or terrestrial surveys and the RUSLE method. Precet Forest Park was the location of the research facility. Erosion prediction was conducted by measuring slopes using Total Station. The RUSLE technique with five variables was used to calculate erosion values. These factors included the slope factor (LS), plant management index and ground cover vegetation (C), soil erodibility (K), rain erosion (R), and soil conservation measures (P). The calculation results indicated that the erosivity value (R) was 254.5, the K value was 0.46, the average LS value is was 8.39, the C value was 0.1, and the P value was 0.9. Calculations using the RUSLE method yielded an average value of the amount of eroded soil in Precet Forest Park of 86.37 tons/ha/year with a soil solum depth of >90 cm. Based on the erosion classification, the grade was classified as class II (Medium). In general, erosion was categorized as high to very high in the middle slope areas of the mountain. This was due to land cover characterised by thick vegetation. In addition, the soil management practices also reduced the value of erosion in Precet Forest Park.