The objective of this study was to analyze the effect of metacognitive ability to improve the geography learning outcomes. This research is expo facto with a quantitative approach. Data was collected from 55 students from the geography education department. Data collection methods used in this study was questionnaires and documentation. The results showed that the metacognitive abilities of students had an average value of 44.57 or that metacognitive abilities were an insufficient category. There was a significant influence of metacognitive abilities on student learning outcomes as evidenced by t count = 6.508 > t table = 1.674. The contribution of the influence of metacognitive abilities on biogeography learning outcomes was equal to 0.444 or 44.4%, while the remainder of 66.6% was influenced by other factors.

Forest and land fires occur every year in Indonesia. Efforts to handle forest and land fires have not been optimal because fires occur in too many places with unclear patterns and densities. The study analyzed the spatiotemporal patterns of burned areas and fire density in fire-prone areas in Indonesia. Data of burned areas were taken from http://sipongi.menlhk.go.id/. The website collected its data from NOAA (National Oceanic and Atmospheric Administration) images. Data were analyzed using the hot spot analysis to determine the spatiotemporal patterns of the burned areas and the kernel density analysis to examine the density of land fires. Findings showed that the spatiotemporal pattern from 2016 to 2019 formed a hot spot value in the peatland area with a confidence level of 90–99%, meaning that land fires were clustered in that area. In addition, the highest density of land fires also occurred in the peatland areas. Clustered burned areas with high fire density were found in areas with low–medium vegetation density—they were the peatland areas. The peatland areas must become the priority to prevent and handle forest and land fires to reduce fire risks.

COVID-19 cepat menyebar diseluruh dunia termasuk negara Indonesia. Hal ini berdampak terhadap berbagai bidang kehidupan masyarakat termasuk bidang pendidikan, sehingga pemerintah menerapkan kebijakan model belajar dalam jaringan atau disingkat daring (online) dari jenjang pendidikan sekolah dasar hingga perguruan tinggi. Penelitian ini bertujuan untuk menganalisa efektivitas penggunaan E-Learning  dalam proses pembelajaran daring terhadap jenis mata kuliah teori dan praktikum oleh Mahasiswa Pendidikan Geografi selama masa pandemi COVID-19. Metode yang digunakan adalahpenelitian survei pendekatan kuantitatif  dengan analisis data menggunakan metode Multi Attribute Utility Theory (MAUT). Hasil dari perhitungan menggunakan metode Multi-Attribute Utility Theory (MAUT) terhadap studi kasus efektivitas belajar daring menggunakan E-Learning  di Program Studi Pendidikan Geografi FKIP ULM menghasilkan pilihan yang lebih objektif dengan penilaian mata kuliah Teori (0.32) sebagai penilaian tertinggi, disusul mata kuliah Praktikum (0.16). Hal ini berarti bahwa pembelajaran daring efektif untuk mata kuliah teori, sementara untuk Mata kuliah praktikum kurang efektif dilakukan secara daring dan lebih efektif jika dibarengi perkuliahan dengan tatap muka.COVID-19 spread rapidly around the world including Indonesia. This matter is impactful on various fields of comunnity life including the field of education, which resulted to government’s implementation of a policy of online learning on primary to further education. This study aims to analyze the effectiveness of the using of E-Learning in the process of online learning for the types of theoretical and practical courses by Geography Education Students during the COVID-19 pandemic. The method used in this study is a quantitative approach with survey as data collection and data analysis using the Multi Attribute Utility Theory (MAUT) method. The results of calculations using the Multi-Attribute Utility Theory (MAUT) method on case studies of the effectiveness of online learning using E-Learning in the Geography Education Study Program, FKIP ULM resulted in a more objective choices with the assessment of the Theory course (0.32) as the highest assessment, followed by the Practicum course (0.16). This result means that online learning is effective for theoretical courses, while practicum courses are less effective and more effective when conducted with face-to-face learning

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The spread of the COVID -19 outbreak does not only have an impact on social and economic aspects. The education process in schools and universities has also been severely affected by this outbreak. To overcome the obstacles in the educational process, concrete solutions are needed. One solution is to implement an online learning system by utilizing existing technology. The purpose of this research was to analyze an overview of the implementation of online learning in the Geography Education Department, LambungMangkurat University. This research used the qualitative method. The research subjects are Geography Education students, Lambung Mangkurat University who take online learning. Data collection through in-depth interviews using the google meet application. Data analysis used interactive analysis by Miles and Huberman. The results showed: students already have basic facilities to participate in online learning; implementation of online learning has flexibility in time and motivates students to be independent and learn more actively; the implementation of online learning can anticipate the spread of COVID-19 in the campus environment because it automatically implements social and physical distancing; The challenges involved in implementing online learning are the cost of buying an internet quota and no internet network (especially in rural areas). The outcomes of this research encourage the emergence of social distancing behavior and minimize the possibility of a crowd of students on campus.

Land fires always occur every year in Banjarbaru, South Kalimantan. Land fires have been resolved but they continue to occur every dry season. The purpose of this study was to analyze the social vulnerability of land fires in Banjarbaru. This research method is to use the average population density weight (60%), the vulnerable group (40%) which consists of the sex ratio (10%), the poverty ratio (10%), the ratio of disabled people (10%) and the group age (10%). In addition, in-depth interviews were conducted with 11 respondents who were directly involved in the prevention and suppression of land fires. In general, the social vulnerability that is classified as high is Banjarbaru Selatan and Banjarbaru Utara Districts. High population density causes greater social vulnerability. However, public knowledge, including understanding of the causes and management of disasters, can cause this social vulnerability to decrease so that the risk is reduced.

Wetland areas are volatile and have high iron content. In this study, through a remote sensing approach, especially using Landsat Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) imagery, we discussed the method to estimate the presence of iron oxide in the wetlands of South Kalimantan in 2018, 2019, and 2020. Interpretation of the Landsat OLI TIRS was employed in April 2018, August 2018, February 2019, August 2019, March 2020, and August 2020. The band ratio method was used to determine the distribution of samples in this study. The results of the iron oxide index from the image were performed regression and correlation analysis with field measurement and laboratory test results to validate the oxide index values. The results showed that the iron oxide index value in the dry season was higher than in the rainy season. Iron oxide index value in open land was higher than in vegetation cover. The wetland was in dry condition during the dry season, making it easier to detect iron oxide values. Vegetation cover could reduce the iron oxide index value on the soil surface so that the iron oxide value was more easily identified in open land. The results of linear regression testing for the wet season sample obtained a coefficient of determination R² = 0.413, while the results of linear regression testing for the dry season sample obtained a coefficient of determination R² = 0.667. Thus, the Landsat image has strong enough to estimate the iron oxide index in the wetland area of Kalimantan.

Abstrak: Erosi tanah menjadi semakin meningkat setiap tahun yang disebabkan oleh terjadinya peningkatan kerusakan lahan. Daerah Aliran Sungai (DAS) Amandit mengalami kerusakan lahan yang ditandai dengan luasnya lahan kritis pada DAS tersebut yang akan berpengaruh pada tingginya tingkat bahaya erosi pada DAS tersebut. Penelitian ini bertujuan untuk menganalisis tingkat bahaya erosi yang terjadi pada Daerah Aliran Sungai (DAS) Amandit. Penelitian ini menggunakan peta bentuklahan sebagai dasar pengambilan sampel. Jumlah sampel dalam penelitian ini adalah 18 buah sampel. Analisa data yang digunakan adalah berdasarkan Metode Universal Soil Loss Equation (USLE) yang digunakan untuk mengetahui tingkat bahaya erosi yang terjadi pada wilayah penelitian. Hasil penelitian menunjukkan tingkat bahaya erosi yang terjadi di Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat. Tingkat bahaya erosi yang paling tinggi adalah 1276.535 ton/ha/tahun. Faktor yang dominan yang mengakibatkan tingkat bahaya erosi pada Daerah Aliran Sungai (DAS) Amandit termasuk dalam klasifikasi berat-sangat berat adalah kemiringan lereng, nilai erodibilitas yang tinggi, dan tutupan lahan. Kata Kunci: Tingkat Bahaya Erosi (TBE), Bentuklahan, USLE, DAS Amandit Abstract: Soil erosion is increasing every year due to increased land degradation. The Amandit Watershed has suffered damage which affects critical land in the watershed which will affect the level of erosion hazard in the watershed. This study aims to analyze the level of erosion that occurs in the Amandit Watershed. This study uses a landform map as a basis for sampling. The number of samples in this study were 18 samples. The data analysis used is based on the Universal Soil Loss Equation (USLE) method which is used to see the level of erosion hazard that occurs in the study area. The results showed that the level of erosion that occurred in the Amandit Watershed was classified as heavy-very heavy. The highest level of erosion was 1276.535 ton/ha/year. The dominant factors resulting in the level of erosion in the watershed (DAS) included in the weight-very weight classification are the slope of the slope, high erodibility values and land cover. Keywords: Erosion Hazard Level, Landform, USLE, Amandit Watershed