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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 534 Documents
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PEMODELAN SPASIAL DALAM MENGIDENTIFIKASI TINGKAT KERENTANAN BANJIR DI KECAMATAN MEJOBO, KABUPATEN KUDUS, JAWA TENGAH, INDONESIA Eka Wulan Safriani; Somantri, Lili; Rohmat, Dede; Setiawan, Iwan; Panjaitan, Budi Rahmah; Arifin, A
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.2024.011.2.6

Abstract

The occurrence of flood disasters is an annual unavoidable event in the Mejobo District, Kudus Regency. This study aims to map the vulnerable areas to floods in the Mejobo District using spatial modelling. The parameters used to determine the vulnerability areas include soil type, elevation, population density, river buffer, rainfall, and land use. The research location is situated in the Mejobo District. The research method employed is the models and multicriteria decision-making (MCDM) techniques, with the assistance of ArcGIS software for data processing and analysis. The research findings yield a final map depicting flood vulnerability, which indicates the distribution of flood-prone areas. Areas with a high level of flood vulnerability are dispersed across agricultural fields and areas adjacent to rivers, covering an area of 1,770 hectares. Meanwhile, areas with a moderate level of vulnerability are predominantly distributed in residential areas, covering an area of 1,907 hectares.
PENGARUH BAHAN PELAPIS BENIH TERHADAP PERTUMBUHAN DAN HASIL TANAMAN JAGUNG (Zea mays L.) PADA CEKAMAN SALIN Zunita, Vina Tasya; Supriyadi, Slamet; Rahman, Fahmi Arief; Yuhardi, Erick
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.2024.011.2.14

Abstract

Maize is one of the most important food commodities after rice and is widely cultivated because it has a high protein value. The purpose of this study was to determine the effectiveness of the coating material on the growth and yield of maize under saline stress. This research was conducted in the Agroecotechnology greenhouse of the Faculty of Agriculture, University of Trunojoyo Madura from August 2022 to January 2023. This study used a factorial Completely Randomized Design (CRD) with 10 treatment combinations and 3 replications with a factor of one coating material (P) and a factor of two salinity (K). The coating material factor consisted of 5 treatments namely control (P0), bentonite (P1), biochar (P2), light coal (P3), and biochar compost (P4), the saline stress factor consisted of 2 treatments namely control (K0) and saline (K1). The results showed that the application of coating material to saline stress had a significant effect on all growth parameters. The interaction between treatments only had a significant effect on plant height at 1 MST, leaf area at 6 MST, and 100 seed weight. Treatment (P2K1) with biochar and saline showed the best results on all growth and yield parameters of maize. Saline stress reduced the percentage of growth and yield of maize by about 50%.
IDENTIFIKASI LAHAN KRITIS SKALA 1:25.000 BERBASIS CITRA SENTINEL 2 DAN DEMNAS RESOLUSI 8 METER (STUDI KASUS SUB DAS CIKAPUNDUNG JAWA BARAT) Zachrani, Annindya Ovieta; Rayes, Mochtar Luthfi; Sulaeman, Yiyi
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.2024.011.2.4

Abstract

Critical land is a condition of land that is no longer able to carry out its functions properly because it has experienced physical, chemical, and biological damage. One area that has the potential to experience critical land problems is the Cikapundung Sub-watershed, West Java. This research aims to identify the existence of critical land in the Cikapundung Sub-watershed area by integrating the Geographic Information System, Sentinel-2 Imagery, and DEMNAS as well as mapping the distribution of land criticality levels in the Cikapundung Sub-watershed at a detailed scale (1:25,000). The research was carried out from May to August 2023. The research was carried out using spatial analysis methods by overlaying thematic maps of each critical land parameter consisting of maps of land cover, erosion, and slope. The results of overlaying all critical land parameter maps were then analyzed using a scoring method to classify the level of land criticality and create a critical land distribution map in the Cikapundung Sub-watershed area. The results of identifying critical land in the Cikapundung Sub-watershed area produced five classes of land criticality, namely uncritical, potentially critical, rather critical, critical, and very critical. The identification results show that there are 4210.94 ha (13.83%) of land identified as critical land in the Cikapundung Sub-watershed area. The results of mapping the level of land criticality in the Cikapundung Sub-watershed show that the Cikapundung Sub-watershed area which is included in the forest area is dominated by the moderately critical land criticality class, while the Cikapundung Sub-watershed area which is outside the forest area is dominated by the uncritical land criticality class.
ANALISIS POLA PERUBAHAN LAHAN SAWAH MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (STUDI KASUS: KELURAHAN MAKROMAN, SAMARINDA) Nugroho, Bagus Adi; Dhonanto, Donny; Darma, Surya
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.2024.011.2.2

Abstract

Changes in rice fields are an important phenomenon that affects the sustainability of agriculture and the environment. This study aims to analyze the pattern of changes in rice fields in Makroman Village, using a Geographic Information System (GIS) approach. The method used is spatial analysis which involves such as spatial data creation, spatial data conversion, spatial data clustering, and mathematical calculation of spatial data. The spatial data used in this study include Ikonos Satellite Images of Makroman Village in 2011 and UAV Aerial Photos of Makroman Village in 2019. The results showed that the area of rice fields in Makroman Village increased from 96.196 ha to 129.343 ha in 2011-2019. Spatially, the increase occurred due to the presence of new rice fields and existing rice fields that did not decrease in number. Shrubs become land uses that have the potential to be converted in rice field extensification activities. GIS application is a method that can be used to answer the problems in this study to the level of detail, but some things that need to be considered in the application of this method are the quality of spatial data, especially remote sensing data used.
EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN WORTEL (Daucus carota L.) DI KECAMATAN SIRAMPOG KABUPATEN BREBES JAWA TENGAH Falahudin, Sefa; Nugroho, Yudha Sakti; Prastya, Rofiq Agiel; Afria, Fendra
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.2024.011.2.10

Abstract

The characteristics and quality of soil can affect the suitability of a land for a certain type of land use. The quality of the soil itself has a close relationship with the characteristics of the land because it has a score weight that affects the suitability of the land. Land characteristics such as slope and land cover affect soil quality such as nutrient content. Erosion calculations using the USLE method show that slope and land cover affect the rate of erosion, where erosion can leach nutrients that result in decreased soil quality. This study aims to determine the suitability of land for carrot plants in Sirampog District. Sirampog District has suitable marginal to suitable temperature, suitable humidity and rainfall, suitable soil texture (loam, sandy loam, and silty loam) relatively low cation exchange capacity (CEC) with very high base saturation, acidic soil pH, medium C-organic, medium N-total, very low P2O5 and very low K2O. This study provided an evaluation of land suitability so that farmers use effective and efficient techniques in cultivating carrot plants, so that carrot crop productivity can be optimal.
PENGUJIAN TIGA METODE PENGUKURAN BOBOT ISI PADA TANAH GAMBUT Sinaga, Christina; Nusantara, Rossie Wiedya; Gusmayanti, Evi; Anshari, Gusti Zakaria
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.2024.011.2.9

Abstract

This research aims to compare the methods of bulk density measurements in peat soils. The methods are ring sample, peat auger, and syringe. The research was conducted in peat soils in Pontianak City. The research was carried out from June to December 2023. Peat samples were the surface peat (0-10 cm). The samples were collected from five plots, and five replications. On average, the value of bulk density measured by the ring sample was 0.27 g cm-3, which is significantly different from bulk density values measured by the peat auger and syringe: 0.11 g cm-3 and 0.09 g cm-3, respectively. Bulk densities of peat auger and syringe are statistically indifferent. Soil compaction during sampling causes the ring sample's high bulk density value. Accordingly, carbon stock calculation based on ring sample bulk density is significantly higher than carbon stocks calculated by bulk densities of auger and syringe. The bulk density measurement with a peat auger took longer because a water displacement approach must measure the sample volume. Collecting bulk-density samples with a syringe is the easiest and fastest. The volume of the syringe sample is only 10 cm3, and the sample can be taken until the mineral substratum. The number of sample collected by syringe can be significantly increased at 5 cm sampling interval, or equals to 10 sub-samples per 50 cm peat core. Pearson linear correlations of these three methods are sufficiently strong.
KARAKTER SPASIAL DAN TEMPORAL CURAH HUJAN BULANAN KABUPATEN JEMBER BERDASARKAN DATA CHIRPS Purnamasari, Ika; Abdillah, Moc. Reza Wahyu; Wijayanto, Yagus; Saputra, Tri Wahyu; Ristiyana, Suci; Budiman, Subhan Arif
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.2024.011.2.13

Abstract

Jember Regency is one of the national food storage areas. One of the most important resources in cultivating food crops is water which comes from rainfall. The existence of rainfall data is very important in planning and implementing agricultural activities. Limited rainfall data is the main problem for agricultural planning. One solution to this problem is to utilize rainfall data from CHIRPS (Climate Hazards Group Infrared Precipitation Station). The use of CHIRPS data is still biased data, so bias correction is needed to measure the level of accuracy of CHIRPS data for estimating rainfall in an area. Bias correction is carried out using two methods, namely multiple linear regression and power regression. The correction results show that the multiple linear regression method is able to produce monthly rainfall that is close to observations with an RMSE value of 3.9 and a coefficient of determination of 0.99. Temporally, the peak of the rainy season in Jember Regency occurs in December while the dry season is in August. In the rainy season (December-January and February) Jember Regency's rainfall is around 300-500 mm/month and in the dry season (June-July-August) it is in the range of 50-200 mm/month. Spatially, the northern part of Jember, especially Sumberbaru, Bangsalsari and Tanggul subdistricts, is wetter than the Jember Regency area as a whole. The southern part of Jember, especially those close to the coast, has lower rainfall than other regions. In the dry season, rainfall in this region is less than 20 mm/month.
ANALISIS PERKEMBANGAN LAHAN TERBANGUN BERDASARKAN METODE SUPERVISED CLASSIFICATION MENGGUNAKAN GOOGLE EARTH ENGINE (STUDI KASUS: DESA CIPUTI, KECAMATAN PACET, KAB.CIANJUR) Prabandari, Amanah Anggun; Manessa, Masita Dwi Mandini
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.2024.011.2.11

Abstract

Monitoring the development of built-up areas can be done by observing remote sensing time series data such as Satellite Imagery. Google Earth Engine (GEE) makes it easy for users to access satellite image data, data processing and data analysis. GEE provides various machine learning algorithms to extract land cover data. This research aims to analyze the development of built-up areas using time series of remote sensing data, namely Sentinel 2A images recorded in 2019 and 2023 and comparing Random Forest (RF), Classification and Regression Tree (CART), Support Vector Machine (SVM) and Gradient Tree Boost (GTB) algorithms and predicts built-up areas in 2027. Based on the results of this research, RF is the algorithm with the highest accuracy in mapping land cover in Ciputri Village with an Overall Accuracy (OA) of 92% and a Kappa Coefficent (KC) of 0.89 in both the 2019 and 2023 classification results, while the lowest accuracy is the SVM algorithm. A comparison of the built-up land area between the 2019 and 2023 classification results shows a decrease in the built-up land area of 3.08 ha. Meanwhile, the prediction results for 2027 show an increase in built-up areas to 114.72 ha.
ANALISIS DAYA DUKUNG LAHAN PERTANIAN SEBAGAI UPAYA MENDUKUNG KETERSEDIAAN PANGAN DI KAWASAN SLEMAN TENGAH Sarastika, Tiara; Anggrasari, Herdiana
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.2024.011.2.12

Abstract

The Central Sleman area is a peri-urban area directly adjacent to Yogyakarta, making land conversion increasingly prevalent and unavoidable. In comparison, the Central Sleman area has a role as one of the food barns due to fertile land conditions and is suitable for agriculture. Intensive conversion of agricultural land to non-agricultural land will result in the loss of productive agricultural land, resulting in decreased rice production. This will result in high rice imports and reduced employment in the agricultural sector. This research aims to analyze the development of agricultural land use, its projection, and the carrying capacity of agricultural land in the Central Sleman Region. The calculation of the agricultural land carrying capacity is based on Odum, Howard, and Issard. The results showed that the Central Sleman Area has a decreasing rate of change in the agricultural land area every year in Kapanewon. The calculation results of agricultural land's carrying capacity show that in 2020, land's carrying capacity exceeded 0.83. The results of the projection calculation in 2024 found that 4 out of 5 Kapanewon in the Central Sleman Region cannot achieve food self-sufficiency. Therefore, efforts are needed to increase the carrying capacity of agricultural land, mainly through increasing the productivity of food crops and protecting agricultural land from land conversion.
PENGARUH TAMBAK SILVOFISHERY TERHADAP SIFAT FISIK TANAH MANGROVE SEBAGAI LAHAN KONSERVASI DAERAH MUARA SUNGAI BOGOWONTO KULON PROGO DAERAH ISTIMEWA YOGYAKARTA Faezatiy, Lulu'Ayu; Mulyanto, Djoko; Nurcholis, Mohammad
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.2024.011.2.16

Abstract

The Bogowonto River estuary is a coastal area in the open water category because it faces the Indian Ocean directly, it has high wave energy, which will cause erosion and abrasion, and the presence of mangrove and pond ecosystems (silvofishery) can support the development of coastal areas as conservation land. So it is necessary to conduct research to examine the influence of soil physical properties on silvofishing and determine the types of mangroves in the Bogowonto River estuary area. The method used was a survey, where soil samples were tested at the Yogyakarta BPTP Laboratory and the Yogyakarta "Veteran" National Development University at a depth of 0–20 cm and 20–40 cm. Sampling was conducted in a zigzag method from the left (near the pond) and right sides of the river. The results of the research found that there are 2 types of mangroves, namely the Tan cang (Bruguiera sp.), which grows far from the coastline and close to fish pond areas (silvofishery), has a has a relatively stable pH, is dominated by clay texture, and has a low salinity level. White Mangrove (Avicennia sp.) grows near the coastline, with a dominant sandy loam texture, low-normal pH, and high salinity levels. Mangroves that grow along the southern river in the presence of silvofishery can help with the deposition process of mud that is transported along the river and maintain the sustainability of fish populations, and litter from mangroves tends to increase the organic matter content of the soil.

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