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Spatial Analysis of Public Green Open Space Availability Based on Area and Population in Tapin Utara Sub-District Virgiawan, Doni; Adyatma, Sidharta; Saputra, Aswin Nur; Rahman, Akhmad Munaya; Ibrahim, Mohd Hairy bin
Sustainability (STPP) Theory, Practice and Policy Vol. 5 No. 1 (2025): Sustainability (STPP) Theory, Practice and Policy June Edition
Publisher : Pusat Kajian Berkelanjutan UIN Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/sdgs.v5i1.3157

Abstract

This study aims to assess the availability of public green open spaces (GOS) in North Tapin District and to calculate the required GOS based on current population size, land area, and projected demographic growth up to the year 2044. Employing a quantitative descriptive methodology, the research utilizes Geographic Information System (GIS) spatial analysis complemented by field observations and ground truthing to ensure data accuracy. The study area includes all public green open spaces within the district boundaries. Results reveal that the total public GOS area is approximately 35.82 hectares, representing 5.48% of the district’s total land area—substantially below the minimum regulatory standard of 20%. Population projections indicate a future GOS demand of 72.16 hectares by 2044, highlighting a significant shortfall in current provision. These findings demonstrate that North Tapin District’s existing green open spaces are insufficient to meet both present and anticipated needs, underscoring the urgent requirement for strategic urban planning interventions to expand and optimize green space allocation.
Temporal Trends and Spatial Patterns of Forest Fires in Central Kalimantan: Implications for Fire Management Policies Saputra, Aswin Nur; Rixal, Rixal; Pamuji, Rizky; Al Arief, Yusuf
JURNAL GEOGRAFI Vol. 17 No. 2 (2025): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v17i2.64534

Abstract

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.
Wetlands: 3D Mapstory Application to Improve Students’ Learning Outcomes: Effective or Ineffective? Aristin, Nevy Farista; Saputra, Aswin Nur; Purnomo, Agus; Arini, Dini Noor
Jurnal Pendidikan Progresif Vol 15, No 1 (2025): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v15i1.pp444-462

Abstract

Wetlands: 3D Mapstory Application to Improve Students’ Learning Outcomes: Effective or Ineffective?. Objectives: The development of learning media in the era of Education 4.0 can be measured by technological innovation. However, limited time and funds have hindered lecturers and students from various higher education institutions in Indonesia from experiencing direct field practice, especially in the wetlands in South Kalimantan, hailed as one of Indonesia's natural laboratories for wetlands. The development of the Wetlands: 3D Mapstory answers students' conditions to become more familiar with the wetland environment without coming directly to South Kalimantan. The aim is to effectively use the Wetlands: 3D Mapstory to concretize the abstract concept of wetlands to improve students’ learning outcomes. Methods: The research development using the Luther model is limited to the testing stage. It is designed using 3D maps from satellite imagery using ArcGIS and combined with photos and learning materials on wetlands. The validation uses expert judgment on material and media aspects. Effectiveness test using paired sample t-test to analyze effective or ineffective Wetlands: 3D Mapstory Application to improve learning outcomes. Findings: The results show that the Wetlands: 3D Mapstory was developed as an Android-based application. This application was declared feasible and effective for improving student learning outcomes related to developing wetland areas in the Geography Education Study Program at Lambung Mangkurat University. So, the development of Wetlands: 3D Mapstory can fill the gap in learning media geography to improve the quality of lectures. Conclusion: Wetlands: 3D Mapstory Applications are feasible and practical for exploring wetlands in South Kalimantan and enhancing students’ learning outcomes. The implications of the results of this research strengthen and increase the variety of learning media to support learning activities and outcomes in universities. Keywords: wetlands, learning outcomes, 3d mapstory, application, effective.
Modeling of Land Cover Changes in Banjarbaru City South Kalimantan Province Saputra, Aswin Nur; Saputra, Muhammad Wahyu; Fatchurohman, Hendy; Aryaguna, Prama Ardha
JURNAL GEOGRAFI Vol. 16 No. 1 (2024): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v16i1.48121

Abstract

Urban areas often experience land cover changes. Banjarbaru is one of several cities in Indonesia that has experienced land changes. The relocation of the administrative center of Banjarmasin City to Banjarbaru City led to the development of settlements. One spatial analysis carried out to examine the phenomenon of land change is remote sensing techniques. The method that can be used is the Land Change Modeler from MOLUSCE in QGIS. This model uses the CAM (Cellular Automata Markov) method to identify land cover change and predict land cover distribution. CAM can understand and predict land change patterns by considering land use, vegetation, and cell spatial interactions. This modeling is based on land cover data for 2015 and 2020 and several supporting parameters such as DEM data and distance to roads. Based on the modeling results from 2015 and 2020, Banjarbaru City experienced a change in built-up land, with most of it occurring in the center of Banjarbaru City. Based on the Markov Chain method by looking at land changes in the previous year, the development of built-up land increased by about 8% of the Banjarbaru City area of 32917.41 hectares. Based on the prediction results, the development of built-up land is centered in the middle of Banjarbaru City, such as North and South Banjarbaru Districts, due to the development of residential development.Keywords: Land Cover, Land Change Modeller, Cellular Automata, Markov Chain
Spatial-temporal Analysis Distribution of Buildings Martapura River Border in Banjarmasin City Muhaimin, Muhammad; Aristin, Nevy Farista; Kamil, Ahmad; Adyatma, Sidharta; Saputra, Aswin Nur
Indonesian Journal of Geography Vol 57, No 3 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.100341

Abstract

The role of the people of Banjarmasin City has long made the river a center of activity that has a ‎dependence on river culture as a way of life, behavior, and adaptation the river boundary for ‎generations, including the construction of buildings. This activity has an impact on the ‎uncontrollability of buildings. And the function of the river. The study aimed to assess the ‎extent of the distribution and non-conformity of buildings with river boundary regulations stipulated in Banjarmasin City Regional Regulation No. 31/2012 concerning the Determination of ‎Regulation and Utilization of Rivers and Former Rivers. The method used is descriptive quantitative ‎with spatial analysis techniques on visual image interpretation and river area buffering within 15 ‎meters of the left and right banks of the river. Data analysis used an overlay technique to determine the ‎number of buildings within the Martapura River boundary line in Banjarmasin City. The results showed ‎that, over 15 years from 2008 to 2023, the built-up land area changed by an average of 1.30 hectares. Based on the type of built-up land, the most dominant is residential buildings. Non-conforming buildings in 2008 totaled 3,518 buildings, in 2013 totaled 3,365 buildings, in 2018 totaled ‎‎3,321 buildings, and in 2023 totaled 3,301 buildings. The decrease in non-conforming buildings ‎occurred periodically in Central Banjarmasin District, and the increase in the number of non-conforming buildings was spread in South Banjarmasin District and North Banjarmasin District‎.Received: 2024-10-01 Revised: 2025-11-10 Accepted: 2025-12-11 Published: 2025-12-22  
Bentuk Partisipasi Masyarakat Dalam Pengelolaan Sampah Rumah Tangga Di Kecamatan Banjarmasin Selatan Lina Nabila; Sidharta Adyatma; Eva Alviawati; Aswin Nur Saputra; Nevy Farista Aristin
Publikasi Berkala Pendidikan Ilmu Sosial Vol 5, No 1 (2025): PAKIS, Maret 2025
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/pakis.v5i1.14723

Abstract

This research aims to identify forms of community participation in managing household waste in South Banjarmasin District. The research method uses descriptive quantitative. Respondents in the study totaled 232 heads of families. The data used in the research are primary data and secondary data. Primary data is in the form of observations and questionnaires, secondary data is sourced from the Environmental Service, Banjarmasin City Central Statistics Agency and the South Bajarmasin District Government. Community participation in household waste management in South Banjarmasin District includes five parameters of forms of participation, namely thoughts, energy, assets and skills and abilities. The results of the research show that from 4 sub-districts in South Banjarmasin District, namely Kelayan Selatan, Pekauman, Kelayan Tengah and Tanjung Pagar, the first form of participation is the form of property participation in the form of active community members paying fees to the waste officers every 4 weeks ranging from IDR 4,000-20,000 . The second most common form of participation is the form of participation from the idea of knowing about waste management in the waste bank from the RT head, through information on waste management, the community participates in depositing waste every 2 weeks to the waste bank. The third most common form of participation is the form of labor participation in sorting organic waste to be used as compost, eco enzyme and inorganic waste to be made into handicrafts such as flower vases, tables and decorative lamps every 4 weeks. The fourth most common form of participation is the form of skill and skill participation, namely using organic waste into compost and eco enzymes in Tanjung Pagar Village and using inorganic waste into handicrafts such as flower vases, tables and decorative lamps, and in Kelayan Selatan and Kelayan Tengah Village only limited collecting, sorting, selling and weighing waste to the waste bank and the public gets a savings book from the waste deposit.
Pengaruh kerapatan vegetasi dan bangunan terhadap Fenomena Urban Heat Island (UHI) di Kota Banjarmasin (2019 – 2024) Tambun, Kevin Anugrah Immanuel; Arisanty, Deasy; Saputra, Aswin Nur; Angriani, Parida; Muhaimin, Muhammad
Majalah Geografi Indonesia Vol 40, No 1 (2026): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.110076

Abstract

Abstrak. Fenomena Urban Heat Island (UHI) menjadi isu penting dalam pengelolaan kota, seperti di Kota Banjarmasin. Kajian ini terjadi akibat berkurangnya tutupan vegetasi dan meningkatnya kerapatan bangunan, yang berdampak terhadap peningkatan suhu permukaan tanah. Tujuan penelitian ini menganalisis bagaimana pengaruh kerapatan vegetasi dan kerapatan bangunan terhadap fenomena UHI di Kota Banjarmasin. Analisis yang digunakan adalah analisis keruangan dan analisis statistik, pada analisis keruangan mengolah tingkat kerapatan vegetasi dan bangunan, dan distribusi suhu permukaan di Kota Banjarmasin, analisis statistik menggunakan regresi linear berganda. Data diperoleh dari citra satelit Landsat 8 OLI-TIRS pada musim kemarau, data diambil pada tanggal berbeda tiap tahun: 29 (2019), 17 September (2020), 31 Mei (2021), 21 Juli (2022), 2 September (2023), dan 20 September (2024). Kemudian diolah menjadi tiga indeks: LST sebagai variabel dependen, serta SAVI dan NDBI sebagai variabel independent. Hasil penelitian menunjukkan bahwa kerapatan bangunan memiliki pengaruh signifikan terhadap kenaikan suhu permukaan, sedangkan kerapatan vegetasi berpengaruh negatif dalam menurunkan suhu. Nilai R Square dalam lima tahun sebesar 0,555 menunjukkan seberapa besar suhu permukaan dipengaruhi SAVI dan NDBI. Persamaan regresi dalam lima tahun adalah Y = 25,938 – 3,973X₁ + 11,874X₂, menunjukkan bahwa setiap peningkatan kerapatan bangunan satuan indeks dapat meningkatkan suhu permukaan sebesar 11,87°C. Peningkatan kerapatan bangunan terbukti menaikkan suhu permukaan sebesar 11,87°C, sedangkan peningkatan vegetasi menurunkannya sebesar 3,97°C. Nilai koefisien perlu disesuaikan dengan skala indeks agar hasil lebih valid dan representatif. Temuan ini menegaskan peran vegetasi sebagai elemen utama mitigasi efek pulau panas perkotaan. Penelitian lanjutan disarankan memasukkan variabel spasial seperti kelembapan tanah, topografi, dan orientasi bangunan. Hasil ini menjadi dasar ilmiah bagi perencanaan kota berkelanjutan yang adaptif terhadap perubahan iklim.Abstract.. The Urban Heat Island phenomenon has become an important issue in urban management, such as in Banjarmasin City. This phenomenon occurs due to the reduction of vegetation cover and the increase in building density, which affects the rise of land surface temperature. The purpose of this study is to analyze how vegetation density and building density influence the UHI phenomenon in Banjarmasin City. The analyses used are spatial analysis and statistical analysis. The spatial analysis processes the levels of vegetation and building density as well as the distribution of surface temperature in Banjarmasin City, while the statistical analysis employs multiple linear regression. Data were obtained from Landsat 8 OLI-TIRS satellite imagery during the dry season, collected on different dates each year: 29 (2019), September 17 (2020), May 31 (2021), July 21 (2022), September 2 (2023), and September 20 (2024). The data were then processed into three indices: LST as the dependent variable, and SAVI and NDBI as the independent variables. The results show that building density has a significant positive effect on the increase of surface temperature, while vegetation density has a negative effect in reducing temperature. The R Square value over five years, amounting to 0.555, indicates the extent to which surface temperature is influenced by SAVI and NDBI. The five-year regression equation is Y = 25.938 – 3.973X₁ + 11.874X₂, showing that every unit increase in building density index can raise the surface temperature by 11.87°C. Increased building density has been proven to elevate surface temperature by 11.87°C, while increased vegetation density reduces it by 3.97°C. The coefficient values need to be adjusted according to the index scale to ensure more valid and representative results. These findings reaffirm the role of vegetation as a key element in mitigating the urban heat island effect. Further research is recommended to include spatial variables such as soil moisture, topography, and building orientation. These results serve as a scientific basis for sustainable urban planning that is adaptive to climate change.Submitted: 2025-08-05 Revisions:  2025-10-24  Accepted: 2026-02-01 Published: 2026-02-05