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JTSL (Jurnal Tanah dan Sumberdaya Lahan)
Published by Universitas Brawijaya
ISSN : -     EISSN : 25499793     DOI : 10.21776/ub.jtsl
Core Subject : Agriculture, Social,
Agriculture, Biological Sciences & Forestry Environmental Science
Jurnal Tanah dan Sumberdaya Lahan (JTSL) dikelola oleh Jurusan Tanah, Fakultas Pertanian, Universitas Brawijaya, Malang. Artikel dari hasil penelitian orisinil, dan review tentang aspek manajemen sumberdaya tanah dan lahan yang mencakup, kesuburan tanah, kimia tanah, biologi tanah, fisika tanah, pedologi, sistem informasi lahan, kualitas tanah dan air, biogeokimia, struktur dan fungsi ekosistem, serta rehabilitasi tanah dan lahan dapat dimuat dalam jurnal ini tanpa dipungut biaya. Jurnal Tanah dan Sumberdaya Lahan diterbitkan dalam satu volume setiap tahun. Setiap volume terdiri atas dua nomor yang diterbitkan pada bulan JANUARI dan JULI.
Arjuna Subject : -
Articles 573 Documents
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EVALUASI RANDOM FOREST DAN REGRESI LINIER BERGANDA DALAM PEMETAAN KAPASITAS PENAHANAN AIR TANAH PERKEBUNAN TEH Mukhlisin, Ajral; Wicaksono, Kurniawan Sigit
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 2 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.2.17

Abstract

Soil Water Holding Capacity (WHC) is a crucial hydrological parameter for tea plant productivity in hilly terrains. Conventional WHC mapping on a large scale is generally constrained by high operational costs and lengthy analysis time. This study aims to evaluate the performance of Random Forest Regression (RFR) and Multiple Linear Regression (MLR) algorithms in predicting the spatial distribution of WHC at the Wonosari Tea Plantation, Malang. Soil sampling was conducted at 16 observation points using a stratified purposive sampling method based on Land Map Units (LMU). To represent water retention capacity in the effective root zone, undisturbed soil samples were collected vertically at depths of 0–20 cm, 20–40 cm, and 40–60 cm at each point, analyzed using a pressure plate apparatus, and integrated into a single profile average value. Six spectral indices were extracted from Sentinel-2A imagery (NDVI, NDSI, NDWI, LSWI, MSI, NMDI) based on their sensitivity to surface moisture and canopy density, then combined with slope data (DEMNAS) as predictor variables. Given the limited sample size, the RFR model validation was performed using the Leave-One-Out Cross-Validation (LOOCV) method to ensure predictive stability. Results showed that the RFR model with a combination of three key variables (NDSI, MSI, and slope) achieved higher accuracy (R²cv = 0.423; RMSEcv = 1.47%) compared to the MLR model (R² = 0.371; RMSE = 1.59%). Feature importance analysis revealed that slope was the most dominant controlling factor (68.5%). This evaluation concludes that the RFR algorithm is more reliable than MLR for modeling the spatial complexity of WHC in hilly areas. The resulting prediction map effectively divides the plantation into three management zones (High, Medium, Low) to support precision irrigation strategies and soil conservation, potentially increasing operational cost efficiency by 30–40%.
SEBARAN UNSUR HARA DALAM MENENTUKAN KESUBURAN TANAH UNTUK TANAMAN JAGUNG DI KECAMATAN SIMPANG RAYA KABUPATEN BANGGAI Katili, Hidayat Arismunandar; Makotos, Novaldi; Djamaluddin, Ismail; Sariani; Rahman, Rival
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 2 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.2.16

Abstract

Maize is a key food commodity underpinning the economy of the Simpang Raya District, yet its yield has fallen to 3.6 tonnes per hectare. Imbalanced or inadequate fertilisation can lead to excessive nutrient uptake by plants, resulting in a decline in soil fertility. This study evaluates soil nutrient availability and fertility status to guide effective soil management aimed at optimising maize growth in Simpang Raya District, Banggai Regency. Using field surveys and kriging interpolation, the spatial distribution of soil nutrients was mapped, followed by comparison with soil fertility standards to determine fertility status. The methods used provided a high level of accuracy and the best estimates for determining soil fertility. Overall, this suite of methods represented a cost-effective and efficient solution for mapping soil fertility across extensive agricultural areas. The research results indicated that the study site had a soil pH of 5.6–6.2 (slightly acidic) and organic carbon (C) of 0.35–1.71%, with an average of 0.99% (very low). Phosphorus (P) content ranged from 7.51–32.01 ppm with an average of 18.09 (moderate), whilst potassium (K) ranged from 8.56–24.20 mg/100g, with an average of 16.55 (low). Cation Exchange Capacity (CEC) was classified as moderate, with an average of 20.93 cmol(+)/kg, ranging from 8.79–25.32 cmol(+)/kg, and Base Saturation (BS) averaged 32.68% (low), ranging from 14.02–58.71%. Overall, soil fertility for maize crops in the Simpang Raya District was classified as low to moderate. Management through liming and the application of organic fertiliser were strongly recommended. To improve soil quality, necessary interventions include liming, land rehabilitation, and the application of bio-fertilisers/biochar to increase organic carbon and base saturation. These measures require support in the form of organic fertiliser subsidies and intensive extension services from the government, particularly for the Simpang Raya District.
SOIL FERTILITY VARIATION IN DIFFERENT LAND USES: A CASE STUDY IN DOLOKGEDE VILLAGE, BOJONEGORO REGENCY Atanta, Anathasya Mahar; Ustiatik, Reni; Kurniawan, Syahrul
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 2 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.2.19

Abstract

Soil fertility is a determining factor in agricultural productivity and sustainable land management. This study aims to: 1) analyze soil fertility status in various land uses in Dolokgede Village, Bojonegoro Regency; 2) evaluate the effect of land use on soil physical and chemical properties, and; 3) analyze the relationship between soil parameters as indicators of soil fertility. The study was conducted from May to December 2024. Observation points were determined based on Land Mapping Units (LMU) across three land uses (rice fields, drylands, and forests), where a total of 24 composite soil samples were collected at a depth of 0–20 cm. The samples were analyzed for pH, cation exchange capacity (CEC), base saturation (BS), organic C, total N, available P, exchangeable cations (K, Ca, Mg, Na), texture, bulk density, particle density, and porosity. Soil fertility status was classified and mapped using ArcGIS. Data were analyzed using Analysis of Variance (ANOVA) followed by the Least Significant Difference (LSD) test at a 5% significance level, correlation, and regression. The results showed that total N was low (0.11–0.19%) in all land uses. Available P was very high in rice fields (59.31 ppm) due to intensive fertilization, but moderate in drylands and forests. Exchangeable K and organic C were low, while CEC and BS were very high in all land uses. Land use had a significant effect (p < 0.05) on available P and exchangeable Ca, Na, and Mg, but had no effect on other parameters, including all soil physical properties. An increase in organic C was strongly associated with total N (R² = 0.62), whereas high BS was associated with increased available P (R² = 0.99). Soil fertility status at the study site was determined by chemical factors and fertilizer management rather than changes in physical properties due to land use change. The implications of these findings for sustainable land management include organic matter management and balanced fertilizer use as measures to prevent soil degradation.

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