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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) Indonesian Journal of Geography Jurnal Kesehatan Lingkungan indonesia Journal of Tropical Soils Berkala Ilmiah Pertanian Plumula : Berkala Ilmiah Agroteknologi JTSL (Jurnal Tanah dan Sumberdaya Lahan) AGRIVITA, Journal of Agricultural Science Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Teknologi Pertanian Andalas INTEGRITAS : Jurnal Pengabdian Jurnal ABDINUS : Jurnal Pengabdian Nusantara Journal La Lifesci Fruitset Sains : Jurnal Pertanian Agroteknologi Media Pertanian Pancaran Pendidikan
Yagus Wijayanto
Program Studi Agroteknologi, Fakultas Pertanian, Universitas Jember, Jl. Kalimantan No.37 , Kabupaten Jember
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Public Health Social Sciences Other

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Journal : Journal of Tropical Soils

 1 
Site Specific Nitrogen Management Simulated by CropSyst Model under Different Inputs of Nitrogen Fertilizer Yagus Wijayanto
JOURNAL OF TROPICAL SOILS Vol 15, No 3: September 2010
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2010.v15i3.229-235

Abstract

Site Specific Nitrogen Management Simulated by CropSyst Model under Different Inputs of Nitrogen Fertilizer (Y Wijayanto): Site Specific Nutrient Management (SSNM) has been suggested as the only means for increasing productivity of crops and minimizing the environmental impacts. Despite of this, it is also widely recognized that compared to uniform application, SSNM provides a significant challenges related to the level of management. This is due to the fact that SSNM relates to the management of field / site (or fields / sites) and considers also the spatial and temporal component of factors leading to crop production. A method is urgently required and the most appropriate one is crop model. This study was aimed at using  CropSyst to model yields due to the difference in N applications  and its implementation for SSNM. The study area was located at Jenggawah Village, Sub-District Jenggawah, Jember Regency. Thirty soil samples were taken and six farmer’s fields were chosen for the purpose of modeling. Interview was conducted to obtain the information about the management of farmer’s fields. Yields in each farmer’s fields were used as an integrated indicator. The results suggested that the predicted yields at farmer’s fields were in agreement with those in reality. Simulated yields  based on  different amount of N inputs showed yields were proportional with different N inputs. This study concluded that there do exist a significant amount of potential applications of CropSyst for Site Specific Nitrogen Management
Using Geostatistics for Spatial Analysis of Soil Moisture Content, Electrical Conductivity, and pH at Paddy Fields Yagus Wijayanto; Muhammad Aldian Dwi Kustianto; Subhan Arif Budiman; Ika Purnamasari
JOURNAL OF TROPICAL SOILS Vol 28, No 2: May 2023
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2023.v28i2.47-56

Abstract

Soil is dynamic due to various internal and external processes exerted on the soil, resulting in unique soil characteristics in space in short and long distances. Geostatistics (kriging) is the method of quantifying the spatial variation of soil properties. This research was mainly aimed at applying geostatistics to quantify and interpolate the spatial dependence and structure of three soil properties, namely pH, EC, and Soil Moisture Content (SMC) in a small area. This research was conducted on paddy fields in Mlandingan Kulon Village, Situbondo Regency. Sampling was conducted on an area of   9.2 ha with 31 sample points. Normal data distribution was found for pH and EC, whereas this was not the case for SMC. The results of the analysis showed that most of the pH values   were alkaline (>8), EC values were non-saline (<2 mm/cm), and SMC was in the low category (<20%). The results show that for three soil properties, weak dependencies were observed. The values of Root Mean Square Error (RMSE)  confirmed that kriging with exponential was better compared to the spherical model, resulting in the RMSE of 0.546 (pH), 0.041 (EC), and 1.512 (SMC).
Spatial Simulation of The Organic Carbon Content and its Effects on the Erodibility and Soil Erosion with Universal Soil Loss Equation and Geographic Information Systems Wijayanto, Yagus; Firmawati, Julvia Nurlaeli; Purnamasari, Ika; Ristiyana, Suci
JOURNAL OF TROPICAL SOILS Vol 30, No 1: January 2025
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2025.v30i1.25-35

Abstract

Universal Soil Loss Equation (USLE) and Geographical Information Systems are two spatial soil erosion analysis models because both have a spatial context. As an important factor, soil erodibility is crucial in determining soil erosion, with C-organic significantly influencing the K value. The main aim of this study is to characterize soil erodibility and soil loss based on spatial simulation of the effects of soil C-organic in a GIS environment. Research findings indicated that by simulating within a GIS environment, C-organic can affect soil erodibility and erosion. Low C-organic levels can increase soil erodibility, while high C-organic levels can decrease it. A reduction in C-organic by 10%, 20%, and 30% will increase K by 1.10%, 1.17%, and 1.21%, respectively. Conversely, adding 10%, 20%, and 30% C-organic will decrease K by 1.12%, 1.27%, and 1.46%, respectively. A 10%, 20%, and 30% increase in C-organic can reduce soil loss by 1.2%, 1.3%, and 1.5%, while a reduction in C-organic will increase soil loss by 1.1%, 1.2%, and 1.3%, respectively. A low K value indicates slight erosion, while a high K value suggests high erosion. Continuous C-organic and properly managing vegetation are necessary to maintain and improve soil quality.
Site Specific Nitrogen Management Simulated by CropSyst Model under Different Inputs of Nitrogen Fertilizer Wijayanto, Yagus
JOURNAL OF TROPICAL SOILS Vol. 15 No. 3: September 2010
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2010.v15i3.229-235

Abstract

Site Specific Nitrogen Management Simulated by CropSyst Model under Different Inputs of Nitrogen Fertilizer (Y Wijayanto): Site Specific Nutrient Management (SSNM) has been suggested as the only means for increasing productivity of crops and minimizing the environmental impacts. Despite of this, it is also widely recognized that compared to uniform application, SSNM provides a significant challenges related to the level of management. This is due to the fact that SSNM relates to the management of field / site (or fields / sites) and considers also the spatial and temporal component of factors leading to crop production. A method is urgently required and the most appropriate one is crop model. This study was aimed at using  CropSyst to model yields due to the difference in N applications  and its implementation for SSNM. The study area was located at Jenggawah Village, Sub-District Jenggawah, Jember Regency. Thirty soil samples were taken and six farmer’s fields were chosen for the purpose of modeling. Interview was conducted to obtain the information about the management of farmer’s fields. Yields in each farmer’s fields were used as an integrated indicator. The results suggested that the predicted yields at farmer’s fields were in agreement with those in reality. Simulated yields  based on  different amount of N inputs showed yields were proportional with different N inputs. This study concluded that there do exist a significant amount of potential applications of CropSyst for Site Specific Nitrogen Management
Using Geostatistics for Spatial Analysis of Soil Moisture Content, Electrical Conductivity, and pH at Paddy Fields Wijayanto, Yagus; Kustianto, Muhammad Aldian Dwi; Budiman, Subhan Arif; Purnamasari, Ika
JOURNAL OF TROPICAL SOILS Vol. 28 No. 2: May 2023
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2023.v28i2.47-56

Abstract

Soil is dynamic due to various internal and external processes exerted on the soil, resulting in unique soil characteristics in space in short and long distances. Geostatistics (kriging) is the method of quantifying the spatial variation of soil properties. This research was mainly aimed at applying geostatistics to quantify and interpolate the spatial dependence and structure of three soil properties, namely pH, EC, and Soil Moisture Content (SMC) in a small area. This research was conducted on paddy fields in Mlandingan Kulon Village, Situbondo Regency. Sampling was conducted on an area of   9.2 ha with 31 sample points. Normal data distribution was found for pH and EC, whereas this was not the case for SMC. The results of the analysis showed that most of the pH values   were alkaline (>8), EC values were non-saline (<2 mm/cm), and SMC was in the low category (<20%). The results show that for three soil properties, weak dependencies were observed. The values of Root Mean Square Error (RMSE)  confirmed that kriging with exponential was better compared to the spherical model, resulting in the RMSE of 0.546 (pH), 0.041 (EC), and 1.512 (SMC).
Temporal Changes in Spatial Patterns of Soil Properties During a Period of Rice Growth Wijayanto, Yagus; Anggreini, Rizqi Aprilia Putri; Purnamasari, Ika; Ristiyana, Suci
JOURNAL OF TROPICAL SOILS Vol. 28 No. 1: January 2023
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2023.v28i1.1-8

Abstract

Growing rice is complicated because of the interrelationship among production components, one of which is soil conditions. Determination of soil conditions is usually conducted by employing some soil properties. It is no doubt that soil properties have spatial and temporal characteristics. This research used two soil properties: Electrical conductivity (EC) and pH. This study aimed to use and evaluate Inverse Distance Weighted to uncover the temporal changes in pH and EC during the rice growth period. The methods used in the research were field survey, soil sampling, laboratory analysis, and data processing in Geographical Information Systems (GIS). The sample used was 30 and repeated three times under the growth period (vegetative, generative, and ripening). The results showed that there were changes in pH values of the soil in one growing season, and EC values tend to increase from the vegetative to the ripening period.
Spatial Simulation of The Organic Carbon Content and its Effects on the Erodibility and Soil Erosion with Universal Soil Loss Equation and Geographic Information Systems Wijayanto, Yagus; Firmawati, Julvia Nurlaeli; Purnamasari, Ika; Ristiyana, Suci
JOURNAL OF TROPICAL SOILS Vol. 30 No. 1: January 2025
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2025.v30i1.25-35

Abstract

Universal Soil Loss Equation (USLE) and Geographical Information Systems are two spatial soil erosion analysis models because both have a spatial context. As an important factor, soil erodibility is crucial in determining soil erosion, with C-organic significantly influencing the K value. The main aim of this study is to characterize soil erodibility and soil loss based on spatial simulation of the effects of soil C-organic in a GIS environment. Research findings indicated that by simulating within a GIS environment, C-organic can affect soil erodibility and erosion. Low C-organic levels can increase soil erodibility, while high C-organic levels can decrease it. A reduction in C-organic by 10%, 20%, and 30% will increase K by 1.10%, 1.17%, and 1.21%, respectively. Conversely, adding 10%, 20%, and 30% C-organic will decrease K by 1.12%, 1.27%, and 1.46%, respectively. A 10%, 20%, and 30% increase in C-organic can reduce soil loss by 1.2%, 1.3%, and 1.5%, while a reduction in C-organic will increase soil loss by 1.1%, 1.2%, and 1.3%, respectively. A low K value indicates slight erosion, while a high K value suggests high erosion. Continuous C-organic and properly managing vegetation are necessary to maintain and improve soil quality.
Co-Authors Abdillah, Moc. Reza Wahyu Agung Sih Kurnianto Agung, Sih Ahmad Ilham Tanzil Ahmad Ilham Tanzil Al-Ghofiqi, M. Faris Alfatah, Naufal Akbar Amelia Tri Arsita Andriyan, Ricky Anggreini, Rizqi Aprilia Putri Antonio, Ach. Farhad Septian Arthayasa, Raden Mochammad Yudishtira Ageng Arthur Frans Cesar Regar Arthur Frans Cesar Regar Ati Kusmiati Aurela, Rosalina Diva Bambang Hermiyanto Bambang Kusmanadhi Bejo Apriyanto Brian, Ida Bagus Daniswara Budiman, Subhan Arif Burhanudin, Ahmad Cindy Febrian, Berlian Clarissa Myra Ananta Destria Putri, Romadhona Edy Prastyanto Elan Artono Nurdin Else Emilia Rumekso Ersya Kamelia Rosana Fahmi Arif Kurnianto Fahrudi Ahwan Ikhsan Firmawati, Julvia Nurlaeli Gabrillo, Christina A. Gusti, Angger Aisyah Hadiahning Hermiyanto, Bambang Ibanah, Indah Ika Purnamasari Ika Purnamasari Irwanto Sucipto Kharisma Adi Bagaskara Kurnianto, Fahmi Arif Kurniawan, Bintang Kustianto, Muhammad Aldian Dwi Lailatus Sufiaah, Annisa Lazuardi, Adam Dika Lenny Widjayanthi Leona, Agis Moch. Reza Wahyu Abdilah Muhammad Aldian Dwi Kustianto Muthi, Ornela Nabila Nur Aisyah Al Ayyubi Pangastuti, Era Iswara Prasojo, Sri Irawan Laras Pusparani, Syafina Puspito, Agung Nugroho Rachmandhika, Yusuf Ratnasari, Tri Regar, Arthur FC Rina Kumalasari Riska Annisyafira Ristiyana, Suci Roni Bahtiar Safitri, Mahardika Sigit PRASTOWO SRI ASTUTIK Subhan Arif Budiman Subhan Arif Budiman Sultan Ghozi Imaduddin Suparino, Balqis Widyastuti Syafina Pusparani Syahputra, Wahyu Nurkholis Hadi Tri Agus Siswoyo Tri Ratnasari Tri Wahyu Saputra Ubaidillah, Mohammad Ummi Sholikah Ummi Sholikhah Wildan Muhlison, Wildan Wulanjani, Distiana Wulanjari, Distiana Yeremia Rivieri Yoandita Velina Aprilia Yoni Cahyono Yusuf Rachmandhika Zaky Firmansyah Maulana