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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 553 Documents
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DOSIS BIOCHAR DIPERKAYA SILIKA DAN ARANG AKTIF DALAM PERBAIKAN KAPASITAS MEMEGANG AIR, C-ORGANIK DAN KAPASITAS TUKAR KATION PADA INCEPTISOL Islamiati, Annisa; Citraresmini, Ania; Tamad, Tamad
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.19

Abstract

Inceptisol is a widespread soil with a total of 37% of the land area in Indonesia. On the island of Java, Inceptisol has an intensive management intensity, one of which is in Kertasari District, Bandung Regency, West Java, which has a high potential for soil damage due to a decrease in the soil's ability to hold water. Biochar enriched with silica and activated charcoal Oil Palm Empty Fruit Bunches (OPEFB) is a type of organic soil amendment that can improve the ability of Inceptisol to hold water and support nutrient needs through organic C indicators and cation exchange capacity. The research was carried out by taking soil samples and then incubating them according to the treatment for 14 days. The experimental design used in the study was a non-factorial, Completely Randomized Design (CRD) method with 12 levels consisting of 3 L/ha of silica-enriched rice husk biochar and OPEFB's activated charcoal, with each in the range of 0-6.25 tons/ha. Measurement results of water holding capacity parameters, C-organic, and cation exchange capacity were analyzed statistically, and significant differences in responses were obtained from the treatments. The optimum dose for Inceptisol in Kertasari uses silica-enriched biochar to increase water holding capacity, organic C, and cation exchange capacity, respectively, at 4.92 tons/ha, 5.73 tons/ha, and 2.51 tons/ha. Otherwhile, OPEFB's activated charcoal was 1.7 tons/ha, 0.125 tons/ha, and 1.5 tons/ha, respectively.
ANALISIS SPASIAL PERUBAHAN TUTUPAN LAHAN PASCA KEBAKARAN HUTAN DAN LAHAN DI KABUPATEN MUARO JAMBI Maruddani, Rizki Feroza; Somantri, Lili; Panjaitan, Frandica
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.15

Abstract

Changes in land use and cover play an important role in sustainable natural resource management. Muaro Jambi Regency, which is rich in biodiversity, has ecosystem services for residents in the area, especially plantations which are one of the leading commodities. Forests as the largest land cover in Muaro Jambi Regency have experienced quite rapid changes, especially after forest and land fires occur almost every year. Real-time monitoring and assessment on a spatio-temporal basis is important to determine changes in land cover. This research examines changes in land cover in Sarolangun Regency from Landsat-8 time series images from 2018 to 2023. Land cover is classified into 6 classes using the supervised classification method. The data findings show that forests have experienced a significant decline, while settlements have experienced a very substantial increase. Comprehensive research regarding the vulnerability of periodic land cover changes at local and regional levels must be carried out to maintain sustainable environmental ecosystems.
ESTIMASI POTENSI NILAI EKONOMI AGROFORESTRI BERBASIS PALUDIKULTUR UNTUK RESTORASI LAHAN GAMBUT Umami, Mashlahatul; Sari, Eli Nur Nirmala; Haryanto, Rizky Januar
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.17

Abstract

Paludiculture-based agroforestry promotes sustainable peatland-use management practices through rewetting activities on drained peatland, revegetating degraded peatland using high-value local tree species and at the same time providing economic benefits for local communities. Due to its potential benefits in maintaining balance between production and protection function of the landscape, paludiculture-based agroforestry in peatlands is purposed to support the restoration efforts. This paper explores the potential, ideal paludiculture-based agroforestry direction, and economic value. We present two scenarios for agroforestry in peatlands: 1) business as usual (BAU) agroforestry by combining native peatland tree species and dryland crops, and 2) paludiculture-based agroforestry by combining native peatland tree species and paludiculture crops. The results show that the economic value of BAU agroforestry ranges from IDR 40.32 million (US$2,826) to IDR 133.47 million (US$9,355) per hectare per year (ha/year) and paludiculture-based agroforestry from IDR 44.22 million (US$3,099) to IDR 106.73 (US$7,481) million ha/year. Taking the BAU model as baseline, the paludiculture model leads to higher emission reduction with a value of IDR 6.2 million (US$435) to IDR 25.21 million (US$1767) per ha/year relative to the BAU. This implies a wider scope of ecological and economic benefits offered by the paludiculture-based agroforestry model compared to the BAU.
KAJIAN KESUBURAN DAN KESESUAIAN LAHAN BERBASIS KOMODITAS DI KECAMATAN TUGU DAN KARANGAN KABUPATEN TRENGGALEK Arifin, Syamsul; Samudra, Ferdianto Budi; Utami, Kartika Budi; Putra, Aditya Nugraha; Setiawan, Adi; Riza, Sativandi; Andhika, Yosi; Maulidiyah, Nurul
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.18

Abstract

Drought is a major challenge in developing the integrated farming system (IFS) in Trenggalek Regency, making it one of the factors contributing to the construction of the Tugu Dam. Additionally, in developing the IFS area, it is necessary to assess soil fertility and land suitability evaluation for food and livestock feed commodities. The research was conducted in Tugu and Karangan Sub-Districts, Trenggalek Regency by conducting spatial analysis and soil survey at locations potentially affected by dam construction and soil samples analysis at the laboratory. The results of this study found that the level of soil fertility at the research site was included in the low to very low class with characteristics of acidic pH, very low C-organic, very low total N and low base saturation. While the results of the actual land suitability evaluation of rice, maize, and elephant grass showed the land suitability class S3 with limiting factors of C-organic, pH, total N, P2O5, and base saturation.
EVALUASI KESESUAIAN LAHAN KELAPA SAWIT PADA LAHAN GAMBUT DI PESISIR SELATAN, SUMATERA BARAT Arifin, Syamsul; Nugraha, Irfan Nur Priya; Al Jauhary, Muhammad Rifqi; Putra, Aditya Nugraha; Riza, Sativandi; Setiawan, Adi; Andhika, Yosi; Adril, Adril; Rayes, Mochtar Luthfi
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 1 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.1.4

Abstract

Indonesia's current population growth rate has reached 1.13% per year, leading to increased demand for land and consequent land use conversion, including peatlands. The conversion of peatlands into oil palm plantations raises several negative issues, such as increased carbon emissions. Therefore, it is crucial to consider the characteristics of peatlands when determining their suitability for crop cultivation. This study aims to assess peat quality, nutrient retention, and soil classification in the research area and evaluate the suitability of peatlands for oil palm cultivation in Pancung Soal. The research was conducted in an oil palm plantation in Nagari Tluk Amplu Inderapura, West Sumatra, using a survey method and parameters such as peat depth, ash content, and pH. The boundaries of land suitability classes were determined based on oil palm production results. The findings indicate variations in peat quality, nutrient retention, and suitability for oil palm cultivation. The analysis initially reveals land suitability classes ranging from S3 to N. However, with modifications to certain parameters, the suitability classes can be improved to S2 and S3. These results approximate suitability based on actual field productivity. Boundary delineation for specific parameters is necessary to enhance land suitability for oil palm in the region.
PEMETAAN BATAS PETAK LAHAN SAWAH PERSIL MENGGUNAKAN ALGORITMA DEEP LEARNING DI KECAMATAN KEPANJEN, KABUPATEN MALANG, JAWA TIMUR Savitri, Elvin; Putra, Aditya Nugraha; Candra, Danang Surya
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 1 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.1.19

Abstract

This research was conducted to mapping the boundaries of paddy fields in Kepanjen District, Malang Regency, using the U-Net deep learning model based on Convolutional Neural Network (CNN) for image classification per pixel. The input used was WorldView-2 imagery, and the model was trained with 25, 75, and 150 epochs variety to evaluate its performance in accurately classifying paddy field use down to the parcel scale. The 75 epochs variation model was used for image classification because it has balance between model performance and training period. Validation test were conducted using paired T-test to identify statisfically significant differences between the classified image paddy area and the actual field conditions. The results showed that U-Net model with various epoch variations did not differ significantly in terms of performance, the time taken for the model to learn the dataset per epoch, or accuracy, which reached 90%. The model was able to accurately classify paddy and non-paddy land use in WorldView-2 imagery down to the plot scale. Based on WorldView-2 image segmentation to identify paddy field boundaries, the paddy field area is 1217 Ha. The results were validated by comparing the area of rice fields in the image with the actual area of rice fields in the field. Validation test result with actual paddy area showed a calculated T (0,5486) lower than the T table (1,9603) and a p value (0,5833) greather than 0,05. This indicates no significant mean difference between the two data sets (ground check and imagery). The lack of significant difference provides strong evidence that the U-Net model is effective for mapping paddy plot boundaries on a large scale.
PEMETAAN DISTRIBUSI SPESIES POHON BERBASIS DEEP LEARNING DAN PENGINDERAAN JAUH DI KEBUN RAYA PURWODADI Pratiwi, Nisrina Salwa; Putra, Aditya Nugraha; Latifah, Evy
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 1 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.1.3

Abstract

Indonesia is rich in germplasm, with approximately 38,000 plant species spread across the archipelago. However, significant deforestation has led to a decline in species distribution, with deforestation rates reaching 1 to 1.8 million hectares from 1985 to 1998. The Purwodadi Botanical Garden serves as a mini prototype of Indonesia's plant diversity but lacks an integrated database on tree species distribution. This study aims to utilize Deep Learning and remote sensing technology for tree species mapping in the Purwodadi Botanical Garden. Using the RCNN Deep Learning model in ArcGIS Pro, the data includes SPOT 6 and 7 imagery, field observations of tree species, and object labeling based on taxonomic levels. The RCNN model successfully detected 235 tree objects with an accuracy of 72%, Precision of 84.45%, Recall of 70.29%, F1-score of 0.76, and an Average Precision of 61%. The species diversity index (H’) was recorded at 3.919161, while the evenness index (E) was 0.973619, indicating high biodiversity. A total of 56 species with 341 individuals were identified, including rare species such as Tectona grandis L. f., Adansonia digitata L., and Syzygium cumini. These findings demonstrate that Deep Learning technology can effectively support biodiversity monitoring.
KAJIAN NERACA AIR DI LAHAN GAMBUT PT. RIMBA HUTANI MAS Lestari, Kunia; Junedi, Heri; Fuadi, Najla Anwar
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 1 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.1.2

Abstract

Peatlands naturally function as water storage, water supply, and water controller. However, if they are not managed properly, this can cause changes in the water system or hydrology, especially fluctuations in groundwater levels. The decline in groundwater levels in peatlands triggers oxidation and subsidence, especially during the dry season. One effort that can be made to control this decline is to carry out a water balance analysis, which will provide a spatial and temporal understanding of the water's condition. This research was carried out in the Mangsang area at HTI PT. Rimba Hutani Mas, Merang District, Bayung Lencir District, Musi Banyuasin Regency, South Sumatra. The research was carried out by the survey method using the Thornthwaite & Mather Water Balance method. The data used included dimensions of drainage channels, rainfall, temperature, ground water level, and canal water level. The calculated data consisted of average monthly rainfall, average monthly air temperature, potential evapotranspiration, accumulated potential water loss, available water capacity, monthly differences in soil moisture storage, actual evapotranspiration, deficit, surplus, and direct runoff. The research results show that in the Mangsang area of ​​PT. Rimba Hutani Mas, there was a water surplus in March, April, November, and December and a deficit in January, February, May, June, July, August, September, and October. Although the calculation results indicate that water-deficit months occur in January, February, May, June, July, August, September, and October, this research area has been anticipated to avoid groundwater level fluctuations through effective water management and the construction of canal blocks.
KAJIAN KONDUKTIVITAS HIDROLIK TANAH GAMBUT PADA BERBAGAI TINGGI MUKA AIR TANAH DI DESA CATUR RAHAYU KECAMATAN DENDANG PROVINSI JAMBI Ilmi, Rozatul; Junedi, Heri; Mastur, Agus Kurniawan
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 1 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.1.5

Abstract

Conversion of forests to oil palm and areca nut plantations contributes to the decline in groundwater levels, which ultimately causes drought. Differences in groundwater levels also affect the physical characteristics of peat, including its hydraulic conductivity. This study aims to analyze hydraulic conductivity values ​​at various depths of shallow (<40 cm) and deep (>40 cm) groundwater levels. This study was conducted for three months in the peatlands of Catur Rahayu Village, Dendang District, East Tanjung Jabung Regency, Jambi Province, covering the preparation to post-research stages. This study was conducted using a purposive sampling method, observations based on sample selection criteria including: (1) distance from the canal (50 m and 100 m), (2) variations in peat maturity levels (fibric, hemic, sapric), and (3) GWL depth (<40 cm vs. >40 cm). Hydraulic conductivity measurements were carried out three times per point to minimize errors, with instrument calibration before data collection. The results of the study showed that the hydraulic conductivity value at shallow groundwater levels ranged from 3.80 - 29.50 m / day, higher than the conductivity at deep groundwater levels which ranged from 3.38 - 4.14 m / day indicating the need for GWL regulation to mitigate peat drought. Based on the results of the study, other factors that influence hydraulic conductivity are peat characteristics, especially its maturity level. The more mature the peat, the smaller the pore size due to shrinkage of organic matter particles and decreased organic matter content; therefore, the hydraulic conductivity rate becomes slower. This study also revealed that the more mature the peat, the higher its volume weight, which has an impact on reducing hydraulic conductivity. This is due to the smaller size of organic matter particles, which reduces the pore space in the soil and increases its density. As a result, the movement of water in the soil becomes slower, which causes a decrease in the hydraulic conductivity value.
HUBUNGAN INDEKS VEGETASI DENGAN KLOROFIL DAN NITROGEN PADA DAUN TANAMAN JAGUNG BERBASIS CLOUD COMPUTING PLATFORM Rahman, Fahmi Arief; Aini, Yuli Kurrotul Binti; Prasetyo, Syukur Toha; Suhartono; Suryawati, Sinar
JTSL (Jurnal Tanah dan Sumberdaya Lahan) Vol. 13 No. 1 (2026)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2026.013.1.14

Abstract

Vegetation indices are algorithms that represent aspects of vegetation such as leaf area index, biomass, and chlorophyll concentration. The index is thought to be used to determine chlorophyll and nitrogen content which makes it more effective and efficient. The purpose of this study is to determine the relationship between vegetation indices and chlorophyll and nitrogen content of corn leaves through a cloud computing platform. Vegetation indices were obtained from Sentinel 2A image processing with Google Earth Engine. Chlorophyll and nitrogen content were obtained from laboratory analysis. This study used 13 sample points in corn crop areas spread across Dlanggu, Bangsal, and Jatirejo sub-districts in Mojokerto district. The correlation test was used to determine the level of relationship between variables. The results showed that the vegetation index generated from image processing through GEE had no correlation with chlorophyll and nitrogen content from laboratory analysis. The weak correlation was thought to be due to atmospheric effects such as clouds, as well as climatic effects such as the rainy season and cloudy skies, which cause the calculation of vegetation indices to be disrupted. The dominant phase of the sample plants in the early generative phase and the possibility of errors in the analysis of chlorophyll and nitrogen content were thought to contribute to the lack of correlation in this study.

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