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Geosfera Indonesia
Published by Universitas Jember
ISSN : 25989723     EISSN : 26148528     DOI : -
Core Subject : Science, Social,
Earth & Planetary Sciences Environmental Science Social Sciences
Geosfera Indonesia : | ISSN: 2598-9723 (Print)| ISSN: 2614-8528 (Online) is published by Department of Geography Education, University of Jember, Indonesia. We accept mainly research-based articles related to geography. Geosfera Indonesia welcomes contributions in such areas of current analysis in: (1) Geography Education, (2) Geography (Physical Geography and Human Geography), (3) Geographic Information System (GIS), (4) Remote Sensing, (5) Environmental Science, and (6) Disaster Mitigation. Since volume 1, it is published three times a year in April, August, and December. Every issue consisted of 12 articles.
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Articles 8 Documents
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Search results for , issue "Vol 9 No 1 (2024): GEOSFERA INDONESIA" : 8 Documents clear
Revolutionizing Education: Empowering Disaster Preparedness through Innovative Smart Teaching with e-Modules on FlipCreator Pro Platform Erman Syarif; Abdul Malik; Alief Saputro; Hasriyanti Hasriyanti
Geosfera Indonesia Vol 9 No 1 (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.v9i1.44640

Abstract

Technology plays an important role to facilitate digital learning including to enhance students’ disaster preparedness. Therefore, teachers must be creative particularly for their course design. This study aims to develop smart teaching using e-modules with the FlipCreator Pro platform. We used Research and Development (R&D) with ADDIE model to develop e-modules involving experts and teachers to determine the validation of product. In additon, we measured students’ response towards quality of e-modules. Results show that developed e-moduls was adequate to validities, therefore it can be used to collected further data. The module's user-friendly design and practicality make it accessible and beneficial for students, promising improved comprehension and learning outcomes. Future research suggestions include expanding content, adapting for various grades, integrating AI, and conducting wider trials for generalizability. Examining the impact on student learning and teacher involvement is recommended for further exploration.
Heavy Rain Episodes Identified by L-band InSAR and Limitations of Split-Spectrum Method in Indonesia Naufal Setiawan; Masato Furuya
Geosfera Indonesia Vol 9 No 1 (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.v9i1.38154

Abstract

Located in a tropical area with abundant precipitation, Indonesia is highly prone to heavy rain hazards, in particular landslides and floods. Thus, rainfall observation is vital. Nonetheless, the topography, the fund availability, as well as the archipelagic state of Indonesia may raise difficulties for in-situ observation, such as rain gauge and weather radar. Currently, the advance of radiometer satellites, such as the Global Precipitation Mission delivers rain estimation and has proven to show good association with in-situ observation on a monthly basis, not daily over the Indonesia area. Therefore, it is vital to have additional measurement methods. For the first time, we apply L-band Interferometric Synthetic Aperture Radar (InSAR) to observe heavy rain in Indonesia. From our three study cases, we successfully identified localized anomalies due to the dense water vapor during heavy rain in the InSAR images. The localized anomalies vary from 10.9 cm in West Java, 7.8 cm in East Kalimantan, and 7.7 cm in West Kalimantan. Furthermore, we utilize the split-spectrum method for our InSAR result; the high-water vapor occurrence in the troposphere associated with heavy rain should be identified in the non-dispersive term. Nevertheless, due to long temporal separation and thinner bandwidth, the split-spectrum method results display unsatisfactory results. We conclude that, while InSAR has the ability to identify heavy rain, having SSM to distinguish between non-dispersive and dispersive phases is not currently practical in Indonesia.
Contamination of E.coli Bacteria in Spamdus Genjahan Water Distribution Network from Karst Groundwater Source Eko Budiyanto; Nugroho Hari Purnomo; Muzayanah Muzayanah; Aida Kurniawati
Geosfera Indonesia Vol 9 No 1 (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.v9i1.37040

Abstract

Karst groundwater is raw water used by Spamdus Genjahan to fulfill domestic water needs. Considering the vulnerability of karst groundwater to pollution and its distribution process, the research aimed to describe the suitability of water in the network as well as the spatial distribution of E.coli and the relationship between distance and it’s concentration. The concentration of E.coli was tested from water samples taken from 20 outlets as representatives of the close, medium and farthest distances from the source. The feasibility of water is carried out by comparing the results of laboratory tests with the water quality threshold value for clean water and domestic purposes. Spatial distribution was analyzed through spatial analysis using Geographic Information Systems, while the relationship between distance and E.coli concentration was carried out using the scatterplot method in GIS. The results showed that the concentration of E.coli in most of the samples was above the allowable threshold for sanitation hygiene purposes. Meanwhile, the distance from the outlet to the source did not show a strong correlation with the level of E.coli concentration. However, there are weak indications that lead to an increase in concentration with the E.coli.
Spatial-Based Landslide Vulnerability Index Assessment in Bogor Area, Indonesia Syakira Trisnafiah; Trinugroho Trinugroho; Astisiasari Astisiasari; Ritha Riyandari; Meila Prati Handayani; Dian Nuraini Melati; Raditya Panji Umbara; Yukni Arifianti; Taufik Iqbal Ramdhani; Sehah Sehah
Geosfera Indonesia Vol 9 No 1 (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.v9i1.43643

Abstract

Within the concept of disaster risk, vulnerability is one of the key determinants. It acknowledges the degree of unsafe conditions in a susceptible zone so that mitigation measures and disaster resilience can be enforced. Bogor area is the most susceptible region to landslides with more than 485 landslide events since 2012. However, there is still inadequate information on its vulnerability to landslides, as the risk reduction challenge per se, is a long-run task. Correspondingly, this study aims to measure the degree of vulnerability to landslides in Bogor area from four focal points (i.e.: social, physical, economic, and environmental dimensions), through the proxy of Vulnerability Index (VI). This study employs a GIS-based spatial analysis on a sub-district level. The result shows that although having high records on landslide events, Bogor area mainly retrieves low VI. In general, Bogor area has low VI [0.347–0.454] on 26 sub-districts. Moreover, 13 sub-districts attain medium VI (0.454–0.562], and 7 sub-districts achieve high VI (0.562–0.670]. Sub-districts that have high VI are: Bogor Tengah, Bogor Barat, Bogor Selatan, Cibinong, Bojonggede, Ciomas, and Bogor Utara; which are mainly promoted by the high indexes on social and physical vulnerabilities. Nevertheless, further study is still needed to extend the knowledge of relationship between landslide susceptibility and this vulnerability result, by using a more extensive and longer data series. That is especially in accord with taking the appropriate mitigation measures in spatial planning and landslide risk management.
Mapping of Land Use Suitability for Binjai City in 2020-2024 Using SPOT-6 Imagery Darwin Parlaungan Lubis; Yessi Karolina Marbun; M. Taufik Rahmadi; Mahara Sintong; Sendi Permana; Alvin Pratama
Geosfera Indonesia Vol 9 No 1 (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.v9i1.41160

Abstract

Indonesia is a developing country that experiences high population growth every year. Population growth has an impact on the high demand for land use. Land use is often not in harmony with population growth, so land use does not align with regional spatial conditions. This study aims to determine land use in 2021 in Binjai City based on the 2020-2040 Regional Spatial Plan (RTRW) using Spot 6 imagery and determine the suitability of 2021 land use in Binjai City based on the 2020-2020 Regional Spatial Plan (RTRW) 2040 using Image Spot 6. This study is located in Binjai City, administratively flanked by two significant regencies: Langkat Regency and Deli Serdang Regency. The population of this research is the City of Binjai, with an area of 90.23 km2. Data collection techniques are documentation study techniques, image interpretation, and field observations. Data analysis was carried out in a qualitative descriptive manner. The results of the study show that Land use in Binjai City in 2021 includes an agricultural area of 52.93 km2 with a percentage of 58.66%, then a residential area of 33.85 km2 with a percentage of 37.63%, area conservation has an area of 1.58 km2 with a percentage of 1.75%, river bodies have an area of 0.90 km2 with a percentage of 1%, local protected areas have an area of 0.38 km2 with a percentage of 0.39%, defense and security areas have an area of 0.45 km2 with the percentage of 0.42%, industrial designation area of 0.12 km2 with a percentage of 0.15%, tourism area of 0.01 km2 with a percentage of 0.01%, and lakes/situ area of 0.01% 0.01 km2 with a percentage of 0.01%. The suitability of land use in 2021 with the Binjai City Spatial Plan (RTRW) for 2020-2040 is an area of 43.64 km2 with a percentage of 48.36% which is suitable while that which is not suitable is 46, 59 km2 with a percentage of 51.64%.
2D and 3D Modelling Electrical Resistivity Tomography (ERT) of Landslide Sliding and Weak Bedding Plane Along Mountain Road North Bengkulu-Lebong, Indonesia Suhendra Suhendra; Jesika Erni Elfrita Sinaga; Darmawan Ikhlas Fadli; Halauddin Halauddin; Supiyati Supiyati
Geosfera Indonesia Vol 9 No 1 (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.v9i1.38065

Abstract

The North Bengkulu-Lebong Mountain Road is prone to landslide disasters due to its geological susceptibility to land movement. This study aims to measure and assess the sliding plane on the mountain road, particularly in the layer with a soft rock structure, such as clay rock. The study utilizes 2D and 3D Electrical Resistivity Tomography (ERT) methods with the Wenner-Schlumberger configuration to measure the resistivity of the rock layers.The research includes one 2D measurement point and one 3D ERT measurement point, estimating actual resistivity values in each rock layer. Our results identify triggering and controlling factors for landslide disasters in the research area. The geological conditions consist of layers of clay (200-500 Ωm), wet clay (500-900 Ωm), dry clay (1000-3000 Ωm), weathering clay (500-1000 Ωm), aquifer (10-65 Ωm), perched aquifer (100-200 Ωm), weathering igneous rock (>10000 Ωm), and massive intrusive rock (>20000 Ωm). These geological conditions significantly influence the strength of landslide materials, with the sliding of the soft rock layer causing landslides and resulting in a large volume of landslide material. Other contributing factors to landslides in this location include slope, topography, and hydrology, with extreme slopes ranging from 33° to 55°, making it a very steep area with high potential for landslides.
The Impact of Cement Industry Activity on The Environmental Quality of Settlements in Tipar Kidul Village, Ajibarang, Banyumas Farah Khansabyla; Sri Rum Giyarsih
Geosfera Indonesia Vol 9 No 1 (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.v9i1.47481

Abstract

The quality of settlement environments surrounding industries is crucial as it reflects the living conditions affected by industrial activities. A study conducted in Tipar Kidul Village aimed to determine the impact of cement industry activities on the settlement environment. The method of this research uses survey within a multistage random sampling survey. The data collection uses interview. The data analysis is simple linear regression with the accuracy testing including validity, reliability, normality, and linearity tests. The research showed that a majority (62%) of the settlement environments conducted in medium-quality conditions. The researched showed industries play a significant role in taking negative impacts on settlements. Industries tend to make settlements uncomfortable to live in due to various activities. Moreover, a significant correlation was observed, indicating a significant influence with a very strong strength that 76.1% between the quality of settlement environments in Tipar Kidul Village and the activities of the cement industry. The cement industry activities impacted to settlement by affecting air pollution, noise from trucks, and machines. Corporate social responsibility program in Tipar Kidul Village included two program, funding program that gave 50.000 rupiah/person and in 2017 cement industry company helped Tipar Kidul Village to reconstruct along Tipar Kidul Village.
Application of Sentinel-2A Images for Land Cover Classification Using NDVI in Jember Regency Rufiani Nadzirah; Mochammad Kevin Rizqon; Indarto Indarto
Geosfera Indonesia Vol 9 No 1 (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.v9i1.28846

Abstract

The advancement of remote sensing technology has led to the development of sophisticated image processing methods that yield highly accurate land cover classification information, minimizing misinterpretations. The Normalized Difference Vegetation Index (NDVI) is a widely utilized method in remote sensing for measuring green vegetation. A significant portion of the Jember Regency area is covered by vegetation. This study aimed to identify various land cover types in the Jember Regency area, quantify the area for each classification, and establish the NDVI value ranges for each type of cover. Sentinel-2 was employed as the primary data source, and the NDVI method was utilized for land cover classification in the Jember Regency. The region exhibited diverse land cover types. Data from Sentinel-2A captured in June and October 2019 were chosen due to their accessibility, open-source nature, and adequate spectral, spatial, and temporal resolution. The classification in this study encompassed five classes: water bodies, settlements, dry fields, irrigated paddy fields, and forests. Error analysis was conducted using a confusion matrix with the Overall and Kappa algorithms. The accuracy results for June indicated a Kappa Accuracy of 37.7% and Overall Accuracy of 54.5%. In October, the Kappa Accuracy increased to 39.9%, and the Overall Accuracy reached 56.5%. In conclusion, the NDVI method did not meet the criteria for accurately interpreting land cover classification.

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