Forest and land fires remain a significant environmental challenge in Central Kalimantan, Indonesia, causing extensive ecological, economic, and health impacts. This research investigates the spatial distribution and concentration of forest and land fire hotspots in the region from 2018 to 2024. Hotspot data from the SIPONGI system were processed using kernel density estimation to generate density maps, which were subsequently overlaid to pinpoint areas with the highest fire concentrations. The analysis identified 2019 as the year with the most severe fire occurrences, with Pulang Pisau District emerging as the region with the greatest fire intensity. These findings offer critical insights for directing fire prevention efforts and enhancing land management strategies to mitigate future fire risks in Central Kalimantan.

Geomorphology is a field of study that focuses on landforms and the natural processes that shape the earth’s surface. The physical characteristics of an area are important for determining land use suitability, environmental management, and disaster risk mitigation, especially in volcanic regions. This study aims to carry out a geomorphological survey and mapping of Precet Forest Park, located on the slopes of Mount Kawi, East Java. The research uses a descriptive quantitative approach by combining field surveys and geospatial data analysis. Primary data were obtained from Total Station measurements, GPS tracking, and observations of land use, landforms, and soil characteristics. Meanwhile, secondary data such as DEMNAS, geological maps, and soil type maps from official sources were used to support the analysis. The morphometric data were processed using interpolation methods including Kriging, Minimum Curvature, and Polynomial techniques through Surfer and QGIS software. The results showed that the study area is dominated by volcanic landforms with Cambisol soils that have a silty clay texture. The topography is characterized by steep to undulating slopes with varying soil permeability and saturation levels, which affect slope stability. Mass movements such as slumps were identified in several locations. The findings of this research are expected to support land use planning and environmental management efforts, as well as serve as a learning reference for geography students in applying geomorphological mapping techniques in the field.

Wildfires in peatland areas have disrupted not only ecological systems but also educational continuity in Indonesia, particularly for students living in high-risk zones. This study aims to measure the resilience of senior high school students in Muaro Jambi Regency and explore the role of schools in supporting disaster preparedness and psychosocial well-being. Using a mixed-methods approach, the research integrates quantitative data from 343 students across three wildfire risk zones: high, medium, and low, with qualitative insights from semi-structured interviews with principals of three public senior high schools representing each zone. Resilience was assessed using the Disaster Resilience Scale for Individuals (DRSi), covering six dimensions: knowledge and skills, adaptive capacity, psychological endurance, social connectivity, physical health, and financial capability. Descriptive analysis showed slightly higher resilience scores in high-risk zones, but ANOVA results indicated no statistically significant differences across zones. The qualitative analysis used six thematic indicators: curriculum integration, supporting facilities, teacher roles, external collaboration, social support, and post-disaster recovery. Schools in high-risk zones demonstrated more proactive strategies, including disaster-themed projects, stakeholder coordination, and flexible learning during haze events. The study contributes to the field of education by affirming the relevance of whole-school approaches in disaster risk reduction and highlighting the need for localized, inclusive, and psychosocially responsive educational practices in wildfire-prone regions.

The development of sustainable tourism in landslide-prone areas required a detailed understanding of environmental risks to ensure safety and resilience. This study aimed to generate a comprehensive landslide risk map to support sustainable tourism development in the Kalibaru Watershed, located in the Raung Volcano region of Indonesia. This study employed the Spatial Multi-Criteria Evaluation (SMCE) method using spatial data and GIS software to map landslide risk based on three main components: hazard, vulnerability, and capacity. The results classified landslide risks in the Kalibaru Watershed into three categories: high risk (21,682 hectares), medium risk (28,113 hectares), and low risk (22,742 hectares). The findings revealed that the highest risk areas were concentrated on the middle and upper slopes of the watershed, particularly within the Glenmore and Kalibaru sub-districts, where a combination of steep terrain, soil characteristics, and heavy rainfall exacerbated landslide susceptibility. This risk map provided valuable insights for stakeholders involved in sustainable tourism planning, offering a strategic tool for developing safe, environmentally-conscious, and disaster-resilient tourism infrastructure. The implementation of this map aimed to raise awareness among local communities and policymakers about the potential landslide risks and encouraged the adoption of effective mitigation measures, fostering a more sustainable and disaster-aware tourism model in the region.

The coastal area of Ternate Island has a high potential for tsunami disasters and complex tectonics. The tsunami on Ternate Island was triggered by an earthquake in the Maluku Sea and the eruption of Mount Gamalama under the sea. The rapid development of Ternate, especially in the tourism sector, such as Loto Agrotourism Village, West Ternate, demands attention to the safety of visitors and residents. The main problem in Loto Village is the lack of evacuation routes, so an effective evacuation strategy is needed to minimize losses during a tsunami disaster. This study aims to determine evacuation routes using UAV data and participatory mapping in Loto Village, Ternate City. UAV aerial photos were processed using photogrammetry techniques with Agisoft Metashape Professional software, producing Ortho-Mosaic Maps and Digital Elevation Model (DEM), which were analyzed in QGIS software. The ortho-mosaic map was overlaid with a tsunami hazard map to create temporary evacuation routes and points (TES), which were confirmed through participatory mapping. The Final Map shows four TESs, which are accessible via footpaths, side roads, and main roads. In the event of a tsunami, tourists and residents in the Lota Agrotourism area can use this map for evacuation. The map can also be an important reference for the government in forming disaster mitigation policies to ensure the safety of tourist destinations that are vulnerable to tsunamis.

Quality textbooks are essential for developing critical thinking skills in geography education, especially for disaster mitigation in Indonesia's disaster-prone environment. To analyze the content quality of geography textbooks on natural disaster mitigation using the Beck and McKeown model and identify specific weaknesses. Qualitative content analysis with coding techniques was conducted on three geography textbooks for grade 11 students published by Erlangga, Grafindo Media Pratama, and Mediatama. A total of 226 paragraphs were analyzed using six adapted Beck and McKeown categories: problematic discussion, concept density, discourse clarity, main idea focus, example adequacy, and explanation structure. Analysis revealed quality issues across categories: 15.92% of paragraphs failed to present discussable problems, 6.19% contained excessive concepts, 4.86% lacked clear discourse, 3.53% presented multiple main ideas, 0.44% provided inadequate examples, and 1.33% showed illogical arrangements. Overall classification ranged from "good" to "very good" despite significant limitations. While textbooks met basic quality standards, substantial improvements are needed in problem-based content, concept organization, discourse clarity, and logical structuring to enhance critical thinking development for disaster education. This is the first application of the Beck and McKeown model to Indonesian geography textbooks focusing on disaster mitigation, providing a specialized assessment framework for disaster education materials. Findings offer actionable guidance for textbook authors, publishers, teachers, and policymakers to improve geography education quality and disaster preparedness literacy.

Regional planning and urban design are essential in developing a region or city. Point of Interest (POI) data in area planning can significantly influence resident perceptions and behaviors and shape investment decisions and development strategies in tourist areas. This study focuses on Singkawang City, a prominent coastal tourist destination on the island of Kalimantan, Indonesia. Singkawang features a historical spatial layout but faces numerous contemporary challenges. The research aims to identify potential efficient tourist routes using geographic analysis based on the POI visibility index. The research has practical benefits, including promoting tourism development, supporting local economic growth, optimizing land use, and enhancing urban user-friendliness. The study employs data on road networks, buildings, and tourist attraction points. The analysis identifies the nodes (POIs and intersections) that concentrate the most efficient routes in the study area, actively connecting tourist attractions in the city center. These routes demonstrate greater importance than those connecting natural attractions in the city's peripheral areas. User visitation levels and the visibility of POIs influence the city's morphological movement patterns. The findings highlight the strategic role of POI-based geographic analysis in improving urban connectivity and guiding regional planning efforts, offering valuable insights for addressing urban challenges and advancing sustainable, tourism-focused urban development.

Sustainable settlement design necessitates the incorporation of environmental carrying capacity determined by ecosystem services. In border areas like the Sota Border Area (KPN) in Papua, ecological pressures intensify as a result of population expansion and economic endeavours. This study assesses the environmental carrying capacity and resilience of settlements through an ecosystem services framework, comparing conditions in 2019 and 2024 to evaluate the impact of development plans. The analysis focuses on five key ecosystem services: food provision, clean water supply, water flow regulation and flood control, disaster protection, and air quality maintenance. Data collection involved field surveys, remote sensing, and GIS-based spatial overlay analysis to map land use changes and ecosystem service values. Results in 2019 showed residential development concentrated in zones with high ecosystem service values, such as food provision (771.7 ha in SUB BWP 2) and clean water supply (742.98 ha in SUB BWP 3). Development in low-lying areas prioritized flood regulation (460.1 ha in SUB BWP 1) and disaster protection (560.7 ha in SUB BWP 1). By 2024, developed land in the very high clean water supply zone of SUB BWP 1 increased sharply from 0.10 ha to 28.86 ha. This research highlights the critical need to incorporate ecosystem service data into settlement planning to sustain environmental capacity and enhance border region sustainability

This study examines life tranquility in the context of moderate replacement fertility levels in the Special Region of Yogyakarta (DIY) in 2023. The region's diverse social, cultural, and economic characteristics significantly influence fertility trends and family dynamics. Areas like Sleman and Bantul display higher family proportions, reflecting stable fertility levels, while Yogyakarta City faces challenges in maintaining population growth due to lower fertility rates, influenced by urbanization and economic pressures. This urban-rural divide underscores the complex relationship between fertility patterns and socio-economic factors. Despite increasing birth rates in some areas, challenges persist in understanding fertility behaviors, particularly in relation to access to education, healthcare, and family policies. These factors can either support or hinder efforts to achieve sustainable population growth and well-being. This study explores the connections between moderate fertility rates, life tranquility, and socio-economic influences in DIY. It also examines how education, healthcare access, and family planning policies impact family well-being and fertility decisions. The research aims to provide policy solutions to enhance the quality of life for families across the region. By understanding the socio-economic determinants of fertility trends, this study offers insights into urban-rural differences and informs policy design to address fertility changes and promote stable family dynamics.

Merapi Volcano is one of the most active volcanoes in Indonesia, which poses a primary eruption hazard in the form of pyroclastic flows. Pakem District is one of the areas affected by the eruption. Vulnerability is the situation where a community experiences a decrease in resilience due to a threatening event that jeopardizes their survival and livelihood. Vulnerability analysis aims to reduce disaster risk. The purpose of this research is to map and analyze the social, physical, and total vulnerability resulting from the eruption of Merapi Volcano in Pakem District using the SMCE method. This research employs the Spatial Multi Criteria Evaluation (SMCE) method to create scenarios based on specific criteria. The results indicate that each village has various classifications of social and physical vulnerability classes. Population density is the most significant variable affecting social vulnerability, whereas the estimated losses from housing damage are the most significant variable influencing physical vulnerability. The results of total vulnerability scenarios, including social, physical, and equal, show the same and consistent class classifications. Candibinangun Village, Harjobinangun Village, and Pakembinangun Village are classified as low total vulnerability. Meanwhile, Hargobinangun Village is classified as low and medium total vulnerability, while Purwobinangun Village is classified as low, medium, and high total vulnerability.