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Fahmi Arif Kurnianto
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fahmiarif.fkip@unej.ac.id
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+6285745115207
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geografi.fkip@unej.ac.id
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Department of Geography Education , University of Jember, FKIP Building Jl. Kalimantan 37, Jember, East Java, 68121, Indonesia.
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Kab. jember,
Jawa timur
INDONESIA
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 9 Documents
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Search results for , issue "Vol. 9 No. 2 (2024): GEOSFERA INDONESIA" : 9 Documents clear
Analysis of the Spatial Distribution of Seawater Intrusion Using a Hydrogeochemical Approach: A Study of the Coastal Geology of Kebumen Regency, Indonesia Faidatuz Zahroh; Muhammad Asyroful Mujib; Sri Astutik; Bejo Apriyanto; Era Iswara Pangastuti
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.34885

Abstract

This study examines seawater intrusion in the southern part of Kebumen District, focusing on the impact of various geological formations on groundwater salinity. Groundwater samples were systematically collected from 11 locations representing alluvial, volcanic, coastal sediment, and karst geological conditions. The samples were analyzed for major ions, including calcium (Ca²⁺), magnesium (Mg²⁺), chloride (Cl-), and bicarbonate (HCO₃-), as well as Total Dissolved Solids (TDS). Ion ratios such as Mg²⁺/Ca²⁺, Cl⁻/HCO₃⁻, and Mg²⁺/(Mg²⁺+Ca²⁺), along with the Fraction of Seawater (fsea), were calculated to assess the extent of seawater intrusion. The study employed the Gibbs diagram method to identify the primary processes controlling groundwater chemistry, revealing that water-rock interactions are dominant in most samples, particularly in those affected by seawater intrusion. The results indicate significant seawater intrusion in alluvial and karst regions, especially at sampling points TP 2, TP 4, and TP 10, while volcanic and coastal sediment areas show minimal intrusion. These findings underscore the critical influence of geological conditions on seawater intrusion and highlight the need for targeted groundwater management strategies. Further research focusing on long-term monitoring is recommended to better understand and mitigate the impacts of seawater intrusion in this region.
Effects of Land Use Change on Land Erosion and Land Critical Level Using GIS in the Mayang Watershed Mohamad Andhika Rafif; Wiwik Yunarni Widiarti; Entin Hidayah; Saifurridzal Saifurridzal; Mokhammad Farid Ma'ruf
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.39670

Abstract

The increasing population in an area often triggers heightened development, leading to diminished land availability and subsequent land conversion. This transformation, predominantly observed in agricultural and plantation lands, is driven by the need for residential areas. However, continuous land use changes contribute to erosion, a natural process wherein soil is transported, leading to sedimentation and eventual flooding. This study aims to identify critical areas prone to erosion and land degradation. To address this, we used the Universal Soil Loss Equation (USLE) method for erosion prediction, leveraging its simplicity and accuracy. This study focuses on the Mayang watershed in East Java, utilizing a combination of USLE, spectral index modeling, and Geographic Information System (GIS) techniques to estimate soil erosion and land criticality. By integrating methodologies and analyzing data spanning from 2011 to 2021, the study reveals shifts in erosion danger levels and land use patterns. While regions with low erosion remained stable, areas with medium to high erosion declined, yet those with very high erosion exhibited a worrisome increase. Changes in land use, including forest loss and urban expansion, underscore the ecological shifts exacerbating erosion hazards. The study emphasizing the necessity for targeted conservation strategies and comprehensive land management plans to mitigate erosion risks and preserve environmental sustainability.
Analysis of Urban Form Dynamics in The Suburbs of Surakarta City 2013-2023 Istiyanti Nur Marfu'ah; Rita Novani; Pipit Wijayanti; Siti Azizah Susilawati
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.44499

Abstract

Urban Form has become necessary for city planning management to see the sustainability of a city. A better understanding of different urban forms is imperative to facilitate the evolution of cities towards a more sustainable urban development trajectory in the future. The study aims to analyze the dynamics of urban form and the changes in land cover within the peri-urban area of Surakarta City, which is directly influenced by the development of Surakarta City. The analysis was conducted from a landscape ecology perspective, employing a spatial metrics approach at the landscape level to assess the dynamics of urban form using quantitative descriptive, including a spatial approach. A similar approach was adopted at the class level in order to examine the dynamics of land cover changes. The results of the image analysis were validated using the Kappa index, yielding an image accuracy level of 0.86 (86%). The results of this study show that the urban form in the peri-urban area of Surakarta City tends to move towards a compact urban form. Meanwhile, each land cover, vegetation, and water body become increasingly fragmented, with areas becoming narrower as time passes. Built-up and agricultural land are becoming more compact and concentrated along with development. In conclusion, the dynamics of urban form in the peri-urban area of Surakarta City tends to lead to compact urban form.
Assessment of Agricultural Drought Using Vegetation Condition Index and Vegetation Health Index in Niger River Basin, Nigeria Muhammad Lawal Abubakar; Muhammad Sambo Ahmed; Auwal Farouk Abdussalam
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.45185

Abstract

Soil moisture indicates the dryness of the ground surface. This phenomenon is directly tied to vegetation quality and Land Surface Temperature in a specific place. As a result, these characteristics indirectly describe the dryness of the ground surface. This study assessed agricultural drought in Niger River in Nigeria. Data used include MODIS driven MOD13Q1 (NDVI), and MOD11A2 (LST) datasets obtained from Land Processes Distributed Active Archive Center. These datasets were used to compute Vegetation Condition Index (VCI) and Vegetation Health Index (VHI) in Niger River Basin, Nigeria. Additionally, correlation and regression analyses were used to check the relationship between LST and NDVI. Results revealed that the mean NDVI for the year 2002 is 0.494, 0.477 in 2007, 0.468 in 2012, 0.458 in 2017 and 0.430 in 2022. The mean LST in Niger River Basin for year 2002 is 32.28 oC, 32.12 oC in 2007, 32.35 oC in 2012, 33.20 oC in 2017 and 33.41 oC in 2022. For the statistical relationship between NDVI and LST, results exhibited negative correlation, with -0.33 in 2002, -0.43 in 2007, -0.42 in 2012, -0.36 in 2017 and -0.27 in 2022. For the VCI results, findings revealed that the mean VCI in the basin was 83.73 in 2002, 64.26 in 2007, 56.76 in 2012, 45.32 in 2017, and 14.93 in 2023. Also, the VHI results revealed that the mean VHI in the basin was 75.44 in 2002, 69.54 in 2007, 61.02 in 2010, 37.22 in 2017 and 18.87 in 2022. The study therefore concluded that vegetation is decreasing in the basin, while land surface temperature is increasing.
Identification of Relict Landslide Parts Based on Morphometric Data to Determine Potential Hazard Zones Combined with Surface Morphodynamics R. Ramlah; Redo Saputro
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.45736

Abstract

The destruction of houses and facilities by landslide causes deaths. In this context, the level of destruction and subjective description of the characteristics can be examined through landslide parts determination. Therefore, this study aims to determine potential landslide hazard zone and houses potentially affected. Global Navigation Satellite System (GNSS) and unmanned aerial vehicle (UAV) are morphometric surveys combined with surface morphodynamics to show potential hazard zones of landslide parts. Meanwhile, Data Elevation Model (DEM) is used to delineate relict landslide and the concept is verified by field observation and orthophoto. Morphometric measurements are collected at each slope gradient by GNSS and surface morphodynamics are investigated on the entire relict landslide area by direct observation and orthophoto data. The combination of morphometric and morphodynamic data describes hazard zone of relict landslide. In addition, the integration of orthophoto and landslide hazard zone data is used to determine potentially affected houses. This study was conducted on landslides 1 and 2 with zone classifications of very high, high, low and very low. The results show that there are different conditions and the most hazardous parts of landslides 1 and 2 are the foot and body, respectively. A total of 75 and 50 houses were potentially affected by landslides 1 and 2, respectively. Identification of hazard zones based on landslide parts determines the boundaries of the area affected. The addition of surface activity processes determines the level of hazard in each of parts, while the combination of morphometric and morphodynamic data shows landslide zone.
Drought Disaster Causes and Their Proposed Adaptation Strategies around Karst Areas in Gunungkidul Regency, Indonesia : A Review Wahyu Endah Christiani Putri; Akhmad Zamroni; Andrea Sumarah Asih; Haris Nur Eka Prasetya; Saurina Tua Sagala; King Joshua Almadrones-Reyes
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.46536

Abstract

Gunungkidul Regency, one of Indonesia's karst regions, frequently experiences droughts. This study aims to investigate the causes of drought disasters and provide adaptation strategies for disasters that may occur near karst areas in Gunungkidul Regency. We used Google Scholar to identify drought causes on the study site. The next stage is making appropriate adaptation strategies using a qualitative and comparative analysis technique. The three main components that cause drought disasters in Gunungkidul Regency include climate characteristics, hydrogeological characteristics, and anthropogenic factors. Some proposed adaptation strategies to address the impacts of drought disasters include planting crops with low water requirements, adopting conservation agriculture and utilizing organic farming, applying structural adaptation strategies, developing agroforestry, giving farmers financial assistance, paying compensation to drought-affected families, distributing knowledge about drought adaptation strategies, reducing family food demand, suggesting seasonal migration, and reducing livestock. Working with multiple stakeholders is essential to putting these adaptation strategies into action.
Spatial Patterns of Tourism: Towards Legally-Based Tourism Village Regulations Based on Physical Carrying Capacity Analysis Darwis Darwis; Jasman Jasman; Bejo Apriyanto; Siska Mandalia; Herry Rachmat Widjaja; Masri Ridwan
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.46551

Abstract

Lowita Beach was a tourist area in Suppa District, Pinrang Regency, with 11 tourist attractions. The annual increase in visitors to Lowita Beach can compromise tourist comfort and damage the area's natural habitat. This is the basis for researchers to analyse the Physical Carrying Capacity (PCC) of Lowita Beach. This study aimed to determine the characteristics of tourist activities, assess the physical carrying capacity of the area, and formulate the role of tourist villages in managing the Lowita Beach area. The research approach used was research and development, as initiated by Borg and Gall: the calculation of Physical Carrying Capacity (PCC), area parameters, and the number of tourists. The study population comprised 93 tourists who visited the Lowita Beach area. Data was collected through the completion of questionnaires, interviews, measurements, and field observations. A quantitative-descriptive approach was used for data analysis. The Physical Carrying Capacity (PCC) analysis reveals that Lowita Beach's ideal capacity is 1 visitor per day, yet it currently hosts an average of 35 visitors daily, significantly surpassing this threshold. This overcapacity indicates that the beach is experiencing environmental strain and underscores the need for management strategies to align visitor numbers with sustainable limits. In conclusion, despite the physical carrying capacity (PCC) of Lowita Beach being 17 visitors per day, the present daily visitor count suggests that the beach is currently facing overcrowding, albeit not to a significant extent. Hence, it is necessary to implement policy interventions from the tourist villages of Tasiwalie and Wiringtasi, which should include the establishment of standardized operating procedures and fostering collaboration among stakeholders, in order to ensure sustainable tourism management at Lowita Beach.
ASIAB Chatbot for Disaster Mitigation Learning at Madrasah Ibtidaiyah Nisrina Hikmawati
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.46591

Abstract

Learning Disaster mitigation in schools is an essential concern of the government in forming a character of preparedness and resilience for students to face disasters. According to technological developments, adequate learning media is also important for independent learning. Therefore, this study aimed to develop disaster mitigation learning media for Madrasah Ibtidaiyah (Islamic Elementary School) students using AI chatbot technology. The Research and Development method with the ADDIE model was adopted, consisting of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. The product was validated by media and material experts as excellent, with percentages of 98.3% and 93.95% respectively. Product validation was carried out using questionnaires, while assessments were based on several indicators, namely attractive, easy-to-understand, technical standards, and material suitability. Furthermore, practicality and effectiveness tests were conducted on teachers and students, with scores above 80%, suggesting very good usability. Practical and effective indicators were based on attractiveness, ease of use, increased motivation, and ease of assessment. In conclusion, The ASIAB chatbot was found to be highly suitable for learning by providing an innovative method to disaster mitigation education through the integration of AI chatbot technology. In addition, the ASIAB chatbot provided a validated and reliable tool that meets high standards of usability and educational effectiveness, as evidenced by high validation scores from both media and material experts. This technology also showed practicality and effectiveness in real classroom settings, thereby providing a scalable solution that can be implemented widely to enhance disaster preparedness education across Indonesian schools.
Decadal Monitoring of Upwelling Dynamics in Satonda Island Waters Using Landsat-8 and Machine Learning Regression Anisya Feby Efriana; Masita Dwi Mandini Manessa; Farida Ayu; Astrid Damayanti; Muhammad Haidar; Kuncoro Teguh Setiawan
Geosfera Indonesia Vol. 9 No. 2 (2024): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v9i2.47203

Abstract

Global warming and associated weather changes, notably the El Niño Southern Oscillation (ENSO), significantly impact marine ecosystems by altering water quality parameters such as chlorophyll-a (Chl-a) and sea surface temperature (SST). These changes are crucial in understanding the biogeochemical and ecological dynamics of marine environments, especially in regions affected by upwelling. This study aims to monitor upwelling events on Satonda Island, a volcanic island with unique central lake and status as a protected area using remote sensing. Utilizing Landsat-8 imagery and machine learning regression techniques—Random Forest (RF), Support Vector Machine (SVM), and Classification and Regression Tree (CART)—this research evaluates the water quality in Satonda waters over a decade (2013– 2023). The RF method emerged as the most accurate in estimating Chl-a and SST, indicating its efficacy in monitoring marine ecosystems with the result (RMSE = 0.309 and 0.274). The analysis reveals seasonal upwelling patterns, characterized by decreased SST and increased Chl-a concentration, with peaks varying annually between June and November. This study highlights the crucial role of remote sensing and machine learning in monitoring the effects of climate change on marine biodiversity. It provides valuable insights into the temporal dynamics of upwelling in the shallow waters of Indonesia.

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