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Spatiotemporal Analysis of Land Use and Land Cover Change in Banjarbaru City (2002–2022) Using Google Earth Engine Muhammad Nurul Huda; Shalsabilla Aulia Putri; Denisa Aulia Pratiwi; Salsabila Rahma; Azril Chairil; Nur Kahfi Mukhlisin Anwar; Listyo Yudha Irawan
JPG (Jurnal Pendidikan Geografi) Vol 13, No 1 (2026)
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jpg.v13i1.24441

Abstract

This study analyzes spatiotemporal changes in land use and land cover (LULC) in Banjarbaru City over a twenty-year period (2002–2022) to examine the reorganization of its urban spatial structure in relation to economic growth, housing demand, and environmental conditions. Multi-temporal land cover data from the GLC-FCS30D dataset were processed on the Google Earth Engine platform, reclassified into seven dominant land-cover categories, and validated using 180 stratified validation points cross-checked against high-resolution satellite imagery. The mapped patterns indicate that built-up areas expanded from a compact urban core into a continuous urban fabric, while plantation and shrubland/forest cover declined substantially and agricultural land increased in spatial extent toward the urban periphery. Open and bare land also expanded as transitional land states associated with ongoing development. These trajectories correspond to broader structural changes documented in regional economic and housing studies, including increased residential land absorption driven by public housing affordability programs and shifts in sectoral economic contribution. The spatial restructuring of green and wetland areas indicates increasing fragmentation and reduced ecological buffering, aligning with research demonstrating declining carbon storage and heightened hydrological sensitivity as vegetated land is converted to urban surfaces. The results present a comprehensive characterization of Banjarbaru’s land transition dynamics and provide a spatial basis for evaluating urban planning, green space management, and sustainability strategies.
Spatial-Statistical Analysis of the Relationship Between Population Density and the Distribution of Active Cooperatives in Jember Regency, Indonesia Muhammad Nurul Huda; Azril Chairil; Rafi Sulthan Rizqullah; Solihan; Shalsabilla Aulia Putri; Denisa Aulia Pratiwi; I Putu Indra Pramana Putra
Jurnal Sains Geografi Vol 4 No 1 (2026): JURNAL SAINS GEOGRAFI
Publisher : Fakultas Ilmu Sosial dan Hukum, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSG.v4i1.04

Abstract

This study examines the spatial and statistical relationship between population density and the distribution of active cooperatives across 31 sub-districts in Jember Regency, Indonesia. Using secondary data from 2024, the research applies a quantitative approach that integrates spatial mapping with statistical analysis. The Shapiro–Wilk normality test indicates that both population density and the number of active cooperatives are not normally distributed (p < 0.05). Therefore, Spearman Rank correlation analysis is employed, revealing a statistically significant but weak positive relationship (r = 0.391, p = 0.030). Spatial patterns show that urban sub-districts such as Kaliwates and Sumbersari exhibit high concentrations of both population density and cooperative activity. However, several agrarian districts with relatively low population density, including Ambulu and Puger, also demonstrate a high number of active cooperatives. These findings indicate that while population density provides an important market base, the spatial distribution of cooperatives in Jember Regency is also strongly shaped by local economic structures and agrarian production systems rather than demographic factors alone.
Analisis Spasial Persebaran Fasilitas Kesehatan Di Kabupaten Sarmi, Papua Muhammad Nurul Huda; Denisa Aulia Pratiwi; Azril Chairil; Solihan; Sausan Rona Rafidah Pramono; Muhammad Yusuf Hidayatullah
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 11 No. 1 (2026): Maret
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v11i1.13157

Abstract

Sebaran fasilitas kesehatan di Kabupaten Sarmi terpusat pada koridor pesisir dari Pantai Barat hingga Bonggo Timur yang mengikuti jalur permukiman serta jaringan transportasi utama. Posisi mean center berada pada wilayah pesisir tengah dan menunjukkan penumpuan pelayanan pada area dengan tingkat konektivitas lebih tinggi, sedangkan wilayah pedalaman seperti Tor Atas dan Apawer Hulu berada pada jarak yang lebih jauh dari pusat pelayanan. Hasil standard distance menunjukkan jangkauan pelayanan yang dominan berorientasi barat–timur. Standard deviational ellipse memperlihatkan arah sebaran yang memanjang sejajar garis pantai. Analisis Average Nearest Neighbor menghasilkan rasio 1,42, z-score 2,80, dan p-value 0,005 yang menunjukkan pola sebaran tersebar (dispersed) ­dan signifikan secara statistik. Pola tersebut mengikuti struktur permukiman linear pada wilayah pesisir. Distribusi fasilitas kesehatan masih lebih terkonsentrasi pada wilayah pesisir dibandingkan wilayah pedalaman.
Analisis Spasial Persebaran Fasilitas Kesehatan Di Kabupaten Sarmi, Papua Muhammad Nurul Huda; Denisa Aulia Pratiwi; Azril Chairil; Solihan; Sausan Rona Rafidah Pramono; Muhammad Yusuf Hidayatullah
JPIG (Jurnal Pendidikan dan Ilmu Geografi) Vol. 11 No. 1 (2026): Maret
Publisher : Geography Education Study Program, Universitas Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpig.v11i1.13157

Abstract

Sebaran fasilitas kesehatan di Kabupaten Sarmi terpusat pada koridor pesisir dari Pantai Barat hingga Bonggo Timur yang mengikuti jalur permukiman serta jaringan transportasi utama. Posisi mean center berada pada wilayah pesisir tengah dan menunjukkan penumpuan pelayanan pada area dengan tingkat konektivitas lebih tinggi, sedangkan wilayah pedalaman seperti Tor Atas dan Apawer Hulu berada pada jarak yang lebih jauh dari pusat pelayanan. Hasil standard distance menunjukkan jangkauan pelayanan yang dominan berorientasi barat–timur. Standard deviational ellipse memperlihatkan arah sebaran yang memanjang sejajar garis pantai. Analisis Average Nearest Neighbor menghasilkan rasio 1,42, z-score 2,80, dan p-value 0,005 yang menunjukkan pola sebaran tersebar (dispersed) ­dan signifikan secara statistik. Pola tersebut mengikuti struktur permukiman linear pada wilayah pesisir. Distribusi fasilitas kesehatan masih lebih terkonsentrasi pada wilayah pesisir dibandingkan wilayah pedalaman.
Spatiotemporal Analysis Of Built-Up Area Dynamics In Karanganyar Regency (2015-2025) Using Ndbi And Google Earth Engine Muhammad Nurul Huda; Rafi Sulthan Rizqullah; Azril Chairil; Denisa Aulia Pratiwi; Shalsabilla Aulia Putri; Nur Kahfi Mukhlisin Anwar; Listyo Yudha Irawan
Jurnal Wilayah dan Kota Vol. 12 No. 01 (2026): April 2026
Publisher : Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jwk.v12i01.19747

Abstract

Rapid urbanization in peri-urban regions has accelerated land use change, particularly through the expansion of built-up areas in locations adjacent to urban growth centers. Karanganyar Regency, which lies within the development influence of the Surakarta metropolitan region, has experienced increasing spatial pressure driven by residential expansion, economic activities, and improved regional accessibility. These conditions highlight the need for spatial monitoring of built-up area change to identify patterns of regional development over time. This study aims to identify changes in built-up areas in Karanganyar Regency during the 2015–2025 period. The analysis uses Landsat 8 OLI Surface Reflectance imagery processed through the Google Earth Engine platform, including stages of image selection based on study area boundaries and cloud cover, reflectance conversion, calculation of the Normalized Difference Built-up Index (NDBI), and classification of index values into four categories: non-building, sparse built-up, dense built-up area, and very dense building. The results show that the non-building class still dominates the regional area but decreased from 775.912 km² in 2015 to 739.897 km² in 2025. During the same period, all built-up classes increased in area, including sparse built-up from 20.436 km² to 44.816 km², dense built-up area from 5.989 km² to 16.514 km², and very dense building from 0.928 km² to 2.031 km². The spatial distribution of these changes indicates that built-up expansion tends to concentrate in western parts of the regency bordering Surakarta City and along major transportation corridors.