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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.
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Search results for , issue "Vol. 13 No. 1 (2026)" : 19 Documents clear
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.
DAMPAK PENGGUNAAN LAHAN TERHADAP STOK KARBON DI TANAH GAMBUT: STUDI PERBANDINGAN DAN IMPLIKASI KEBIJAKAN Ilmi, Rozatul; Hermansah; Yulnafatmawita; Yasin, Syafrimen
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.2026.013.1.1

Abstract

Tropical peatlands are among the largest carbon stocks on earth, but also the most vulnerable to anthropogenic disturbances. This study aims to analyze the impacts of land-use change on carbon stocks in peatlands, focusing on conversion to plantations, agriculture, and infrastructure, as well as to evaluate the effectiveness of restoration strategies and protection policies. Using a systematic review approach of 50 recent scientific publications (2010–2025), the results show that peatland conversion causes large amounts of carbon release, ranging from 70–120 tons of CO₂ per hectare per year, accompanied by land subsidence of up to 7 cm per year. Drainage and land fires are the main factors accelerating carbon emissions. In contrast, restoration efforts through rewetting and revegetation have been shown to reduce emissions by up to 65% and increase long-term carbon accumulation. The success of this strategy is greatly influenced by the biophysical conditions of the land, policy support, and local community participation. This study recommends the need for an integrated approach that includes moratoriums, economic incentives, legal strengthening, and technology-based monitoring as strategic steps in protecting carbon stocks and mitigating climate change.
FROM SHIFTING CULTIVATION TO ECOLOGICAL RECOVERY: DETERMINING LAND AGE THROUGH TREE ABUNDANCE AND SOIL ANALYSIS IN MANOKWARI Susanto, Slamet Arif
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.2026.013.1.12

Abstract

The shifting cultivation system is an integral part of the local culture of the Papuan people in Indonesia, persisting to this day. This study investigates the relationship between vegetation abundance and soil chemical composition in former plantation lands of varying ages in Papua, Indonesia. Three sites with distinct fallow periods - 5 years (BK-5), 10 years (BK-10), and 15 years (BK-15) - were analyzed. Multivariate analysis was employed to model the combination of dominant vegetation density and soil physical and chemical characteristics. The results revealed that the BK-5 site exhibited poor soil quality, characterized by acidic pH and low organic carbon and nitrogen content. In contrast, the BK-10 and BK-15 sites demonstrated improved soil fertility. The multivariate analysis highlighted distinct differences in vegetation composition and soil nutrient parameters among the sites, with specific plant species associated with particular soil conditions. The study confirms that older former plantation lands tend to have higher soil fertility, suggesting that short fallow periods may be insufficient for optimal soil fertility restoration. These findings underscore the importance of considering the age of former plantation lands and the role of vegetation in shaping soil conditions. This research provides valuable insights into the ecological recovery of post-agricultural landscapes in Papua.
OPTIMALISASI PADI SAWAH DENGAN BIOAMELIORAN BOKASHI JERAMI PADI DAN BOKASHI ECENG GONDOK Rusmana, Azhar Indra; Tasmin; Fitria, Syifa
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.2026.013.1.15

Abstract

Indramayu Regency is one of the rice barns in Indonesia with high productivity, producing agricultural waste in the form of straw in large quantities. However, the suboptimal management of straw, such as its direct burning in fields, causes environmental pollution and the loss of soil nutrients. On the other hand, the growth of water hyacinth in Indramayu waters causes problems for the aquatic ecosystem. This study investigates how bokashi, made from rice straw and water hyacinth, functions as a bioameliorant to improve rice development and productivity. This study was conducted using a factorial approach in a Randomized Block Design (RBD) with two factors, namely the dose of rice straw bokashi (0, 10, and 20 tons ha-1) and the dose of water hyacinth bokashi (0, 10, and 20 tons ha-1). It is proven that the use of bokashi and water hyacinth as bioameliorants increases rice development and productivity. According to the research results, there was a significant interaction between the two types of bokashi on plant height at 14, 28, 42, and 56 HST, number of leaves at 42 and 56 HST, and weight of 1,000 grains as well as harvest yield. The optimal dose recommended to achieve the best results is 10 tons ha-1 of rice straw bokashi and 20 tons ha-1 of water hyacinth bokashi. The implementation of this technology has the potential to increase agricultural productivity sustainably and reduce negative impacts on the environment through more efficient utilization of agricultural waste and aquatic ecosystems.
PENGARUH APLIKASI BIOCHAR TERHADAP PERTUMBUHAN Brassica rapa DI INCEPTISOL KAKI GUNUNG MARAPI DAN GUNUNG SINGGALANG Nabila; Yulnafatmawita; Adrinal
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.2026.013.1.6

Abstract

Inceptisol is a marginal soil type with low fertility, limited water retention, and an acidic pH, which poses challenges for horticultural cultivation, including chaisim (Brassica rapa var. parachinensis). This study aimed to evaluate the effect of biochar dosage on soil physical properties, soil pH, and chaisim growth in Inceptisol from three locations: Singgalang, Padang Lua, and Sariak. Five biochar dosages were used (0, 15, 20, 25, and 30 tons/ ha-1). The observed parameters included water percolation, soil pH, and fresh plant weight. Results showed that the 20 tons/ha-1 dose gave the best results by reducing water percolation by up to 4%, increasing soil pH from 6.38 to 6.42, and producing the highest fresh plant weight of 203 grams per pot, which was much higher than the control (11 grams per pot). The increased soil pH improved the availability of nutrients such as phosphorus, calcium, and magnesium, which are important for plant growth. However, the 30 tons/ ha-1  biochar dose caused soil pore saturation, reducing aeration and nutrient uptake efficiency, resulting in a lower fresh plant weight of 97 grams per pot. Combining biochar with NPK fertilizer also improved water use efficiency and nutrient availability. The effectiveness of biochar was further influenced by initial soil characteristics, with the best results found in soil from Singgalang.This study showed that biochar could be a sustainable soil management strategy to improve horticultural crop productivity on marginal tropical soils.

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