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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

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%.

Land Use Analysis Using Machine-Learning Based on Cloud Computing Platform Prasetyo, Syukur Toha; Rahman, Fahmi Arief; Suryawati, Sinar; Supriyadi, Slamet; Setiawan, Eko
Jurnal Ilmu Pertanian Indonesia Vol. 30 No. 4 (2025): Jurnal Ilmu Pertanian Indonesia
Publisher : Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18343/jipi.30.4.765

Land use analysis can provide a foundation for successful and efficient regional planning and environmental monitoring. The application of machine-learning on a cloud computing platform (Google Earth Engine, GEE) in land use analysis enables efficient and rapid processing of spatial data on a wide scale. It overcomes the constraints inherent in conventional approaches. The purpose of this study was to identify land use and estimate its level of accuracy using GEE and a Random Forest machine-learning method. The data utilized were the administrative boundaries of Bangkalan Regency (1:25,000) and Landsat 8 SR L2 C2 T1 satellite images from 2022. Satellite image analysis using the Random Forest algorithm on the GEE platform with the JavaScript API, including masking, cloud masking, class and sampling, training, and testing sample data. Land use study using the Random Forest algorithm yielded the following results in order of area: vegetation 65,040.39 ha (49.98%), agricultural land 31,817.16 ha (24.45%), settlements 20,578.05 ha (15.81%), open land 6,683.94 ha (5.14%), and water bodies 6,021.09 ha (4.63%). The accuracy test in GEE revealed an overall accuracy (OA) of 91.39% and a kappa score of 88.39%, or 0.88. At the same time, validation in the field gave an OA of 88.68% and a Kappa of 85.53%. The findings of this study can be applied to land use evaluation and fundamental decision-making. Keywords: land use, random forest, geographic information system, remote sensing

RESPON PERTUMBUHAN DAN HASIL TANAMAN JAGUNG (Zea mays L.) DI TANAH PASIRAN AKIBAT PEMBERIAN PUPUK UREA BERPELAPIS BIOCHAR Supriyadi, Slamet; Rahman, Fahmi Arief; Erika, Siti
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 2 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.2.10

Biochar is an organic soil amendment that can be used as a coating in the production of slow-release fertilizers. This study aimed to determine the growth and yield response of corn in sandy soil due to the application of biochar-coated urea fertilizer, exploring the novelty of using coatings derived from local agricultural waste (which has been understudied) and the effectiveness of fertilizer dosage. The experiment was arranged in a Non-Factorial Completely Randomized Design (CRD) with 6 treatments, which were: P0, P1, P2, P3, P4, dan P5. Data were analyzed using ANOVA at 5%, followed by Duncan’s Multiple Range Test (DMRT) at 5% to determine the best treatment. The results showed that biochar-coated urea significantly influenced plant height during the advanced growth phase (42-84 DAP) but not in the early phase (14-28 DAP). For leaf number, treatments had significant effects at 42, 70, and 84 DAP, with P0 consistently yielding the lowest values. Leaf area also increased significantly at 42-84 DAP, with P3 showing the highest trend. The generative phase (flowering and cob development) was significantly affected by treatments. Meanwhile, corn production under P5 matched the results of P1. Implicatively, corn cob biochar-coated urea has the potential to replace conventional urea with a 20% lower dosage without compromising productivity, thereby reducing production costs and environmental pollution risks due to N leaching. These findings highlight opportunities to utilize corn cob waste as an eco-friendly material in slow-release fertilizer production.

Climate Analysis Based on Remote Sensing Fahmi Arief Rahman; Hadisah, Mukhtafatul; Suryawati, Sinar
Journal of Soilscape and Agriculture Vol. 4 No. 1 (2025): Volume 4 Issue 1, 2025
Publisher : University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jsa.v4i1.6244

Climate was an important factor that greatly influenced human life and the environment. Remote sensing facilitated the monitoring, recording, and interpretation of climate data, which could be used for geographic reference–based decision-making. This study aimed to analyze climate components using satellite imagery data. The research was conducted in Mojokerto Regency from January to April 2024. The analyzed climate parameters included LST from Landsat 8 SR, RH and THI from ERA 5, rainfall from CHIRPS, and evapotranspiration from MODIS. All data were processed and analyzed on the cloud computing platform GEE. The analysis of 2023 satellite imagery showed that Mojokerto Regency’s climate, in terms of LST, was dominated by the medium class (57.4%), RH was classified as slightly dry (47.4%), THI indicated uncomfortable (too hot) conditions in 32.4% of the area, rainfall was generally low (72%), and evapotranspiration was low in 65.9% of the total area. The results of this study could be used to develop strategies for increasing vegetation cover, implementing environmentally friendly land management, and adopting climate adaptation measures to reduce the risk of environmental degradation.

Studi Karakteristik Spasial Lahan Kecamatan Bluto, Sentra Produksi Cabe Jamu (Piper retrofractum Vahl.), Menggunakan Sistem Informasi Geografis (SIG) Rahman, Fahmi Arief; upriyadi, Slamet S; Suryawati, Sinar; Murtadlo, Mesi Khodijah; Khodali, Achmad
Agro Bali : Agricultural Journal Vol 6, No 3 (2023)
Publisher : Universitas Panji Sakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37637/ab.v6i3.1274

Produksi tanaman sangat dipengaruhi oleh kondisi lahan dan teknik budidaya. Sistem Informasi Geografis (SIG) dapat digunakan untuk pengelolaan dan pengambilan keputusan berbasis site-specific tentang kesuburan tanah secara presisi. Tujuan dari penelitian ini untuk mengetahui karakteristik lahan terutama sifat kimia tanah di Kecamatan Bluto, wilayah sentra Cabe Jamu di Madura, dengan menggunakan GIS. Penelitian dilakukan di Bluto, Sumenep dari September hingga Desember 2022. Penelitian menggunakan metode fisiografik untuk memperoleh satuan pengamatan tanah (SPT) dengan melakukan tumpang susun peta RBI, peta Kelerengan (hasil pengolahan data Digital Elevation Model (DEM) SRTM) dan peta Geologi. sampel tanah (top soil) dari setiap SPT diambil berdasarkan sistem diagonal. Sampel tanah selanjutnya dianalisis tekstur (Metode Pipet), pH (H2O) dan pH (KCl) (Metode elektrik), kadar C-organik (Metode Walkey-Black), N total (Metode Kjeldahl), P tersedia (Metode Olsen), Kation dapat ditukar (K-dd, Na-dd, Ca-dd, dan Mg-dd) dan KTK (NH4OAc pH 7.0). Data selanjutnya digunakan untuk membuat Peta Karakteristik Lahan menggunakan Metode Interpolasi Inverse Distance Weighting (IDW). Hasil analisis karakteristik lahan secara spasial memberikan gambaran yang utuh sebagai acuan pengelolaan berbasis wilayah. Hasil analisis menunjukkan bahwa tekstur pada umumnya adalah lempung berpasir dan lempung, pH aktual agak alkali, pH potensial netral dan agak alkal, N total tergolong rendah hingga sedang, P-tersedia sangat tinggi, C-organik umumnya tergolong sedang dan tinggi, KTK didominasi kriteria sedang, Ca-dd seluruh wilayah sangat tinggi, Mg-dd sedang dan tinggi, Na-dd sangat rendah dan rendah, dan K-dd didominasi oleh kriteria tinggi.

PENGARUH PELAPISAN BENIH (SEED COATING) DAN CEKAMAN KEKERINGAN TERHADAP PERTUMBUHAN DAN HASIL TANAMAN JAGUNG (Zea mays L.) Nisfiyah, Lailatin; Rahman, Fahmi Arief; Supriyadi, Slamet
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 1 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.1.5

Part of the dry land in Madura developed from parent material, namely sand sediments which have a low organic matter content. This study aimed to determine differences in the effectiveness of corn seed coating materials from bentonite, biochar, lignite, and biochar compost on the growth and yield of maize (Zea mays L.) under drought stress conditions. This study was conducted at the Integrated Laboratory and screen house of the Faculty of Agriculture, University of Jember, using a completely randomized design. The treatments tested in this study comprised two factors. The first factor was the treatment of coating materials, namely C0 = without coating (control), C1 = bentonite coating, C2 = biochar coating, C3 = lignite coal coating, and C4 = biochar compost coating. The second factor is the level of drought stress, namely K0 = control (100% KL moisture), K1 = Light stress (80% KL moisture), K2 = moderate stress (60% KL moisture), and K3 = severe stress (40% KL moisture). The results showed that the combination of seed coating agent treatment and drought stress had a significant effect on the parameters of plant height, number of leaves, leaf area, age of male and female flowers, cob length, cob diameter without husks, biomass dry weight, and production potential per hectare. The coal coating material and light drought stress 80% KL (C3K1) was the best combination of seed coating and drought stress treatment.

EVALUASI PUPUK NITROGEN LEPAS LAMBAT PADA TANAMAN JAGUNG (Zea mays L.) Agustina, Dwi Ulya; Rahman, Fahmi Arief; Supriyadi, Slamet; Wasonowati, Catur
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 1 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.1.11

Slow-release fertilizer can provide nutrients more efficiently; nutrients are released and available slowly so that they have the potential to be absorbed by plants. This study aimed to investigate the effects of several slow-release N fertilizers on the growth and yield of corn (Zea mays L.) in sandy soil. This research was carried out in the greenhouse and laboratory of the Faculty of Agriculture, University of Trunojoyo Madura. The experiment was arranged on a non-factorial completely randomized design. There were six treatment levels, namely P0 (uncoated urea fertilizer, applied into one application), P1 (uncoated urea fertilizer, split into three times applications), P2 (urea fertilizer with bentonite coating, P3 (urea fertilizer with biochar coating), P4 (urea fertilizer with coal coating), and P5 (urea fertilizer with biochar compost coating). All coated urea fertilizers were applied one time at the early growth of corn. The results showed that the application of slow-release N fertilizer had no significant effect on plant height, number of leaves, leaf area, cob length, diameter, plant fresh weight, plant dry weight, seed weight per plant, 100 seed weight, and flower age. However, the application of slow-release N fertilizer had a very significant effect on plant height at 42 DAP, the number of leaves at 14 DAP and 56 DAP, and leaf area at 28 DAP and 56 DAP. All coated urea fertilizers were as effective as uncoated urea on the growth and yield of corn.

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

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%.

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