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Geosfera Indonesia
Published by Universitas Jember
ISSN : 25989723     EISSN : 26148528     DOI : https://doi.org/10.19184/geosi
Core Subject : Science, Education, Social,
Earth & Planetary Sciences Education Environmental Science
Geosfera Indonesia is a journal publishes original research, review, and short communication (written by researchers, academicians, professional, and practitioners from all over the world) which utilizes geographic and environment approaches (human, physical landscape, nature-society and GIS) to resolve human-environment interaction problems that have a spatial dimension.
Arjuna Subject : Ilmu Sosial - Geografi, Perencanaan dan Pengembangan
Articles 230 Documents
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Modeling the Socio-Cultural Drivers of Adaptation Strategy Choice: Evidence from Smallholder Farmers in Berbere District, Oromia, Ethiopia Kena, Terefe Melkamu; Amenu, Geremew Huluka
Geosfera Indonesia Vol. 11 No. 1 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i1.60000

Abstract

Climate change is a significant threat to agricultural productivity, particularly in underdeveloped countries where rain-fed farming is common. Without adaptation, climate change may negatively impact agricultural productivity; however, adopting adaptive measures can reduce vulnerability and potentially increase some of the benefits of climate change. This study explores the sociocultural factors that influence farmers in Oromia's Berbere district to select particular adaptation strategies. We gathered information from 339 randomly chosen smallholder vegetable growers. We used a multinomial logit model to examine the variables affecting their selection of adaptation measures. The findings showed that the adoption of vegetable diversification strategies was significantly influenced by factors like family structure, the transmission of indigenous knowledge, land tenure and cultural ties, access to credit, communal trust systems, cultural perceptions of climate change, and farming experience. The dissemination of indigenous knowledge, adoption of technology, cultural acceptance, financial availability, community trust, and non-farm revenue were also important elements that favorably impacted the selection of varietal adaptation strategies in the region. The decision to modify planting dates in response to climate change was also greatly influenced by elements such as indigenous knowledge transfer, land tenure and cultural attachment, technology adoption, cultural interpretation of climate change, and farming experience. The adoption of spatial risk distribution as a climate change adaptation strategy was found to be negatively impacted by the distance to agriculture, whereas family structure, land tenure, and cultural connection emerged as significant positive characteristics in this location. In order to adapt to climate change, irrigation methods are greatly influenced by a number of factors, including family dynamics, the speed at which we adopt new technology, cultural attitudes, understanding of climate change, and income from nonfarm sources. This emphasizes how important it is for legislators to incorporate these components into household-level climate adaptation plans.
Trend Analysis of Climate Variability and Land-Use Dynamics in a Data-Scarce Region of Southwest Nigeria Using Remote Sensing and Meteorological Data Adenrele, Adeniyi Sunday; Samuel, Adelabu; Olusegun, Ekanade; Sunday, Durowoju Olufemi; Mutiso, Jackson Colbert; Anthony, Kola-Olusanya
Geosfera Indonesia Vol. 11 No. 1 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i1.60001

Abstract

This study investigates long-term climate variability and land-use dynamics in the Ife Region of Southwest Nigeria using an integrated, multi-source geospatial framework spanning 1984-2024, addressing persistent data limitations in the region. Meteorological data, including daily and monthly rainfall and temperature records, were obtained from the Climate Hazards Group InfraRed Precipitation (CHIRPS) and ERA5-Land datasets, respectively and complemented by satellite-derived variables NDVI, land surface temperature (LST), and land-use/land-cover (LULC) acquired from Landsat (TM, ETM+, OLI/TIRS) imagery of 30m resolution. Accuracy assessments were conducted for all classified years to ensure the reliability of the results. Results show a mean air temperature rise of about 1.24°C over the study period, equivalent to a trend of +0.031°C per year, alongside a progressive increase in annual rainfall at +7.28mm per year. LST intensified significantly, increasing by 3.6 - 5.2°C in urban areas and 2.1 - 3.4°C in rural areas. Vegetation condition weakened markedly, with peak-season NDVI decreasing from 0.68 in 1984 to 0.42 in 2024, indicating heightened vegetation stress. LULC analysis revealed extensive spatial transformation: Undisturbed Forest declined by 540.05km² (-56.95%), while Farmland and Built-up Areas expanded by 253.87 km² (+95.47%) and 124.23 km² (+38.40%), respectively. Classification reliability remained consistently strong, with Overall Accuracy values ranging from 93.5% to 96.1% and Kappa coefficients of 0.90–0.95. The regression model explains 86.9% of LST variability in the Ife Region (R² = 0.869; F(6, 45) = 50.05, p < 0.001), with temperature (β = 0.789), Built-up Areas (β = 0.321), and forest cover (Undisturbed: β = –0.266; Disturbed: β = 0.198) as main drivers. Urbanisation and forest loss increase warming, while intact forests and rainfall (β = –0.178) provide cooling, highlighting the combined effects of land-cover and climatic factors on surface temperatures. These interacting shifts heighten ecological stress, influence hydrological stability, reduce agricultural resilience, and amplify urban heat conditions.
Indigenous View of Rural Households to Poverty: The Role of Agro-Ecological Constraints in Kuyu District, Central Ethiopia Motuma, Feleke Yehuwalashet
Geosfera Indonesia Vol. 11 No. 1 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i1.60002

Abstract

Before taking any meaningful public action to reduce poverty in Ethiopia’s rural areas, it is necessary to comprehend how rural households see their situation. Hence, the major objective of this study was to look into the indigenous view of rural households and poverty. Through an organized interview schedule, pertinent data were gathered. The collected data were measured using the Rotated Component Matrix, Score Coefficient Matrix, Eigenvalue-One Criterion, Bartlett’s Test of Sphericity, and Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO). Thus, analysis showed that a rural household is considered to be poor when they are with wage workers, have a large number of children, a female head of household, migrate, have little to no grain stock, have poor information-seeking habits, have subpar clothing, subpar fencing, subpar housing, have fewer plough oxen, have fewer livestock, have a low level of education, are unable to transport their members to the health center, have inadequate savings, are not close to all weather roads, do not use extension agents, do not use agricultural inputs, and do not utilize credit service. In conclusion, rural households’ indigenous perspectives on poverty should be acknowledged and valued and that efforts to alleviate poverty should be implemented based on these perceived markers of poverty.
Effect of Security Challenges on Water Accessibility in the Lake Basin Area Mbusube, Zainab Modu; Yilwanu, Tasiu Yalwa; Gaya, Ibrahim Faruk `
Geosfera Indonesia Vol. 11 No. 1 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i1.60004

Abstract

Lake Chad Basin (LCB) terrain has long been a lifeline for a large number of people who rely on it for agriculture, fishing, and livestock production. However, its water resources have come under severe stress due to a combination of climate variability, environmental degradation, and persistent insecurity driven by the Boko Haram insurgency and related conflicts. This study examines the effect of security challenges on water accessibility within the portion of the LCB. Using a mixed-methods approach that combined questionnaire surveys, focus group discussions (FGDs), and key informant interviews (KIIs), the research assessed the extent to which insecurity, insurgent activities, and environmental factors disrupt water availability, access, and infrastructure. Findings reveal that insecurity significantly limits community access to water points, disrupts agricultural activities, and contributes to displacement, thereby heightening food and livelihood insecurity. Moreover, insurgent attacks have destroyed water infrastructure, restricted transhumance flows, and forced communities to abandon traditional water-use practices. While some adaptive strategies exist, they remain insufficient, costly, and unsustainable. The study concludes that without integrating water management with peacebuilding, infrastructure protection, and community resilience strategies, achieving sustainable water accessibility in the LCB will remain elusive
Analysis of Green Open Space Availability and Land Surface Temperature Using Multiresolution Imagery in Jember City Area in 2019 and 2024 Susanti, Devi Ayu Julia; Nurdin, Elan Artono; Astutik, Sri; Pangastuti, Era Iswara
Geosfera Indonesia Vol. 11 No. 1 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i1.60016

Abstract

Green Open Space is an important aspect in regional spatial planning. Lack of availability of Green Open Space can cause environmental problems such as increasing ground surface temperature. The purpose of this study was to analyze the Availability of Green Open Space using Sentinel-2A Imagery in Jember City Area in 2019 and 2024, and to analyze Land Surface Temperature using MODIS Imagery and Sentinel-2A Imagery in Jember City Area in 2019 and 2024. The type of research used is quantitative using a survey method. The sampling technique used purposive sampling with data collection techniques through observation and documentation. The data analysis technique used quantitative descriptive analysis techniques. The research data is presented in the form of a map using the NDVI method for Green Open Space and the LST method for Land Surface Temperature which is processed using Google Earth Engine. The results of this study indicate that the Availability of Green Open Space using Sentinel-2A Imagery in 2024 has been well available, namely 52% of the total area of ​​Jember City, while in 2024 the Availability of Green Open Space was 42% of the total area of ​​Jember City. Furthermore, the results of processing the distribution of Land Temperature using MODIS Imagery and Sentinel-2A Imagery in 2019 and 2024 show that the temperature in the City area is dynamic so that it can change at any time, this is influenced by natural conditions, physical conditions of the area, climate, weather, and hydrology. The highest temperatures tend to be in the city center which then spreads spatially to the outskirts of the Jember City area.
Integrating Probabilistic Airborne Dispersion and Geospatial Vulnerability Assessment for Cascading Urban Radiological Hazards Sudibyo, Reno; Widodo, Pujo; Maarif, Syamsul; Kurniadi, Anwar; Hasaro, Demetrius Christian
Geosfera Indonesia Vol. 11 No. 2 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i2.60012

Abstract

Cascading airborne hazards in densely populated metropolitan areas pose major challenges for disaster risk reduction (DRR). This study developed a probabilistic geospatial framework to assess potential airborne radiological hazard propagation in the Bandung metropolitan area, Indonesia, under a hypothetical Iodine-131 (I-131) release scenario. Ensemble-based Gaussian puff simulations driven by ERA5 meteorological data were integrated with probabilistic exceedance mapping, demographic vulnerability analysis, district-level spatial aggregation, and healthcare infrastructure exposure assessment using Geographic Information System (GIS) approaches. The results identified elongated airborne exposure corridors across interconnected metropolitan districts within the Bandung Basin. High probabilistic exposure zones were concentrated near the southern urban source area and extended toward northern urban sectors. District-level analysis revealed that densely populated sub-districts and several healthcare facilities, including major hospitals, were located within elevated exposure zones. The study demonstrates the potential of probabilistic geospatial modelling to support uncertainty-aware urban DRR planning in rapidly urbanizing metropolitan environments.
Community Perceptions of Adaptation and Mitigation Practices for Tidal Flooding in West Banjarmasin District, Banjarmasin City, Indonesia Languyu, Erika Christine; Nasruddin, Nasruddin
Geosfera Indonesia Vol. 11 No. 2 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i2.60018

Abstract

Banjarmasin is a lowland area with an average elevation of 1.23 meters above sea level, making it highly vulnerable to flooding. This study aims to analyze community adaptation and mitigation strategies in response to tidal flooding in the West Banjarmasin Subdistrict, Banjarmasin City. The research employed a quantitative, descriptive approach, using interviews with 100 household heads from nine urban villages. The findings indicate that community adaptation was categorized as high (93.7%), moderate (5.7%), and low (0.7%). Among the assessed parameters, preparedness for flood events obtained the lowest score (79%) compared to other adaptation indicators. Meanwhile, the level of community mitigation was categorized as high (91.2%), moderate (8.5%), and low (0.3%). Weather condition monitoring was identified as the lowest-scoring parameter (68%) among the mitigation indicators. These findings suggest that the Banjarmasin City Government should actively engage in public awareness and outreach programs, particularly to strengthen community preparedness for flooding. Furthermore, more serious and systematic measures are required to improve tidal flood mitigation, especially regarding weather monitoring
Identification Geodiversity Hotspots Using Grid-Based Spatial Analysis : Case Study Suoh Caldera Geopark, West Lampung Bantjin, Theo Sampit Mo Rizky; Purnama, Yapi; Muhammad Athar Zidani; Harbowo, Danni Gathot
Geosfera Indonesia Vol. 11 No. 2 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i2.60023

Abstract

The Suoh Caldera Geopark area in West Lampung has an interesting geological setting characterized by diverse volcanic landforms, active fault systems, and distinctive geothermal phenomena. These geological characteristics reflect complex interactions between tectonic activity and volcanic processes that have shaped the regional landscape. To support the development of the Suoh Caldera Geopark as one of the UNESCO Global Geoparks in Indonesia, comprehensive geodiversity mapping strategy is required to identify and verify important geological values within the region. Therefore, this study aims to identify and map geodiversity hotspots using spatial analysis approach to determine areas with the most significant geological diversity. Research applies grid-based spatial indexing method using geodiversity measurements to identify locations with potential geodiversity in West Lampung. Total 111 grids were analyzed based on five main parameters: slope gradient, geological formations, drainage systems, topography, and geological structures, which were validated through field surveys. The spatial distribution geodiversity values further analyzed using the Inverse Distance Weighted interpolation method to identify areas with high geodiversity concentration. Results reveal five significant geodiversity hotspots: Sukausite (104°1'24"E, 4°55'27"S), Suohsite (104°17'36"E, 5°17'3"S), Bandar Negerisuohsite (104°14'53"E, 5°11'38"S), Batubraksite (104°9'28"E, 5°6'12"S), and Gedungsuriansite (104°28'25"E, 5°6'14"S). Each location represents unique geological characteristics including interactions between Quaternary volcanic rocks and dense river systems, active caldera environments with geothermal manifestations, complex morphology formed by transtensional processes within pyroclastic deposits, Miocene granite intrusions representing basement rocks, and the presence of megalithic sites reflecting relationships between geological landscapes and cultural heritage. These findings highlight geological diversity, support geoconservation and sustainable geotourism development.
Community Preparedness for the Tsunami Ready Community Program: Evidence from Sidoharjo Village, Kebumen Regency, Indonesia Rubeda, Tangkas Wigawe Tri; Nurdin, Elan Artono; Astutik, Sri; Yushardi
Geosfera Indonesia Vol. 11 No. 2 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i2.60032

Abstract

Indonesia's location along the Pacific Ring of Fire at the intersection of the Indo Australian, Eurasian, and Pacific plates exposes its coastal areas to severe geological hazards. Despite high disaster risk indices, community preparedness in tsunami prone zones remains suboptimal. This study evaluates the implementation of the Tsunami Ready Community program, based on 12 international indicators, to foster a tsunami prepared culture in Sidoharjo Village, a coastal area vulnerable to megathrust events. Using an exploratory sequential mixed methods design, quantitative data were gathered from a purposively selected sample calculated via the Slovin formula with a 10 percent margin of error, complemented by qualitative observations, interviews, document analyses, and literature reviews. The findings reveal that community preparedness reached a ready status, scoring 74.09 percent. The program significantly enhanced local disaster readiness, particularly in disaster knowledge, emergency preparation, early warning response, and resource mobilization. These results demonstrate that institutionalizing international preparedness standards can effectively bridge the gap between disaster vulnerability and community resilience in high risk megathrust zones.
Socio-Spatial Determinants of Household Solid Waste Generation and Disposal Behaviour in Medium-Sized Cities in Osun State, Nigeria Adenrele, Adeniyi Sunday
Geosfera Indonesia Vol. 11 No. 2 (2026): Geosfera Indonesia
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v11i2.60037

Abstract

Rapid urbanisation and changing consumption patterns have intensified solid waste generation and unsustainable disposal practices in Nigerian cities. Although municipal solid waste management has been widely studied in metropolitan areas, limited evidence exists on the socio-spatial determinants of waste generation and disposal behaviour in medium-sized cities. This study examined these determinants in Osogbo, Ede, and Iwo, three medium-sized cities in Osun State. Primary data were collected from 244 household heads using multistage sampling across high- and low-density neighbourhoods. Descriptive statistics, multiple linear regression, multinomial logistic regression, and analysis of variance (ANOVA) were used to analyse waste generation, disposal behaviour, and willingness to pay for improved waste services. Results showed that household waste generation was significantly higher in high-density neighbourhoods than in low-density areas. Biodegradable materials, particularly food and vegetable waste, constituted the largest proportion of household waste (54.6–62.1%), while plastics dominated the non-biodegradable fraction. Regression identified household income, household size, and residential location as significant determinants of waste generation. Multinomial logistic regression indicated that higher household income and educational attainment reduced the likelihood of environmentally unsustainable disposal practices, whereas larger household size, high residential density, and greater distance to formal disposal facilities increased the likelihood of open burning and roadside dumping. Each additional kilometre to the nearest formal disposal facility increased the odds of roadside dumping or burial by approximately 85.5% (OR = 1.855). ANOVA revealed significant differences in willingness to pay according to household income, educational attainment, and proximity to formal disposal facilities (p < 0.05). The findings demonstrate that household waste management behaviour is a socio-spatial process shaped by interactions between socioeconomic conditions and spatial accessibility to waste management infrastructure. The study contributes by integrating waste generation, disposal behaviour, and willingness to pay within one analytical framework, providing policy-relevant evidence for context-specific and sustainable waste management strategies in urbanising cities.

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