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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