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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Kedokteran Brawijaya BIOTROPIA - The Southeast Asian Journal of Tropical Biology The Journal of Experimental Life Sciences (JELS) Journal of Indonesian Tourism and Development Studies JTSL (Jurnal Tanah dan Sumberdaya Lahan) Wacana, Jurnal Sosial dan Humaniora Journal of Degraded and Mining Lands Management Indonesian Green Technology Journal Jurnal Pembangunan dan Alam Lestari Jurnal Teknologi Pertanian Planta Tropika Prosiding Forum Studi Transportasi Antar Perguruan Tinggi Journal of Islamic Pharmacy Jurnal Sumberdaya Akuatik Indopasifik Animal Production : Indonesian Journal of Animal Production SAINS TANAH - Journal of Soil Science and Agroclimatology Caraka Tani: Journal of Sustainable Agriculture Jurnal Analisis Bisnis Ekonomi Agrisocionomics: Jurnal Sosial Ekonomi Pertanian BHUMI: Jurnal Agraria dan Pertanahan Agrotechnology Research Journal Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) ABDINE Jurnal Pengabdian Masyarakat Rona Teknik Pertanian Jurnal Perikanan Journal of Coffee and Sustainability Jurnal Analisis Bisnis Ekonomi
Soemarno Soemarno
Jurusan Tanah Fakultas Pertanian, Universitas Brawijaya
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Models of Pb distribution and uptake in inundated paddy and maize cropping systems Nopriani, Leny Sri; Prayogo, Cahyo; Soemarno, Soemarno; Atikah, Atikah; Kusuma, Zaenal
Journal of Degraded and Mining Lands Management Vol. 11 No. 1 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.111.4927

Abstract

High-traffic highway crossing agricultural fields impacts the quality of food crops grown on Vertisol agricultural fields in Pasuruan. Lead (Pb) released from the exhaust of motor vehicles into the air can eventually enter the soil and be absorbed by plants. This study aimed to examine the effect of Pb from exhaust motor vehicles emission on the Pb status and its behavior in soil, water, and plants. The study was initiated by conducting a survey to determine the sampling locations in selected inundated paddy and maize cropping systems. A stratified random sampling method was used to collect soil, water, and plant samples. The soil of the study area is dominated by Vertisol, with clay content ranging from 54% to 76%. The soil attributes a high cation exchange capacity ranging from 80.53 meq 100 g-1 to 93.57 meq 100 g-1. Pb emitted from 2,913,000 vehicles within four months period that entered the agricultural field was not absorbed by paddy and maize crops. Pb entered the soil in the adsorbed form, and no Pb was observed in the soluble form, so it was not absorbed by the roots. In the paddy field, the total Pb of 84.33% was influenced by pollutant distance. Likewise, in the maize field, 83.18% of total Pb was influenced by pollutant distance. The far the pollutant distance from the agricultural field, the lower its total Pb. Paddy field water is adsorbed onto the colloidal clay, which is dispersed due to inundation and sloughing of the paddy, moving with the clay and then dissolved in the water flow.
Landasan Berpikir Dalam Perencanaan Pengelolaan Terpadu Daerah Aliran Sungai Sudaryanti, Sri; Soemarno, Soemarno; Marsoedi, Marsoedi; Yanuwiadi, Bagyo
Indonesian Green Technology Journal Vol. 10 No. 2 (2021): Indonesian Green Technology Journal
Publisher : Sekolah Pascasarjana, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Peningkatan jumlah Daerah Aliran Sungai (DAS) kritis termasuk DAS Brantas adalah salah satu masalah utama yang harus diselesaikan dalam pengelolaan lingkungan di Indonesia. Untuk menyelesaikan permasalahan ini diperlukan solusi dengan pendekatan perencanaan pengelolaan DAS secara terpadu. Dalam penyusunan perencaan tersebut, landasan berfikir pemangku kepentingan merupakan fundamen penting yang harus perhatikan. Penelitian ini bertujuan untuk menganalisis landasan berfikir pemangku kepentingan untuk penyusunan perencanaan pengelolaan sub DAS Brantas hulu wilayah Kota Batu. Metode yang digunakan adalah metode survei dengan pendekatan kuantitatif. Analisis data dilakukan melalui metode Profesional Judgement dengan menggunakan analisis Ziel Orientierte Projekt Planung (ZOPP). Hasil penelitian ini menunjukkan kalau landasan berfikir penyusunan perencanaan pengelolaan sub DAS Brantas hulu wilayah Kota Batu terdiri atas 4 tahap, yaitu: analisis pemangku kepentingan, analisis masalah, analisis tujuan dan analisis penyelesaian masalah. Faktor pendorong utama untuk penyusunan rencana pengelolaan sub DAS Brantas hulu antara lain adalah adanya komitmen dari pemangku kepentingan, sementara faktor utama penghambatnya adalah belum adanya koordinasi dari pemangku-pemangku kepentingan tersebut. Penelitian ini menunjukkan kalau tersusun dan terdokumentasinya landasan berfikir dalam penyusunan rencana pengelolaan sub DAS Brantas hulu wilayah Kota Batu menjadi hal yang sangat penting untuk kepentingan berbagai pihak seperti legislatif, eksekutif, yudikatif, swasta, tokoh masyarakat, perguruan tinggi dan lembaga swadaya masyarakat. Saran yang diberikan dari hasil penelitian ini adalah perlu adanya perubahan pola berfikir dalam penyusunan rencana pengelolaan dari sektoral menjadi terpadu dan dari reaktif ke antisipatif.
Soil nutrient improvement with organic amendments: a basis for lemon orchard management Bushron, Raushanfikr; Hanuf, Atiqah Aulia; Yulianto, Alfian Tri; Lutfi, M. Wasilul; Yunita, Dinda Mahartian; Suntari, Retno; Soemarno, Soemarno
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 22, No 2 (2025): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v22i2.99868

Abstract

Lemon trees require the nutrients they extract from the soil. This research aims to analyze the impact of organic matter application on enhancing soil nutrient availability and improving soil chemical properties using a pot-scale incubation experiment. This study used a completely randomized design with eight treatments and four replications. The pot treatment used 10 kg of air-dry soil per pot mixed with an organic matter dosage of 30 tons ha-1 and was observed at 2, 4, 8 weeks after applications. The treatment consisted of P1 (topsoil, control), P2 (subsoil, control), P3 (topsoil + compost), P4 (subsoil + compost), P5 (topsoil + cow manure), P6 (subsoil + cow manure), P7 (topsoil + goat manure), and P8 (subsoil + goat manure). The results indicated that compost and manure fertilizer had a significant effect in increasing soil chemical properties (pH, organic carbon content, cation exchange capacity, total-N, available-P, and exchangeable-K), with topsoil treatment having the highest value compared to the subsoil treatment, almost at all parameters. The topsoil treatment + 30 tons ha⁻¹ cow manure significantly increased the N-total by 44.44% at 8 and 12 WAA on the control treatment. The topsoil treatment + goat manure 30 tons ha-1 significantly increased P-available by 13.63 - 29.74% and exchangeable-K by 40.61 - 62.88% at 4, 8, and 12 WAA against the control treatment. Based on these findings, the best fertilizer method of topsoil treatment + 30 tons ha⁻¹ of manure is recommended to increase the soil fertility of the lemon tree soil.
The reliability of Unmanned Aerial Vehicles (UAVs) equipped with multispectral cameras for estimating chlorophyll content, plant height, canopy area, and fruit total number of Lemons (Citrus limon) Al Fanshuri, Buyung; Prayogo, Cahyo; Soemarno, Soemarno; Prijono, Sugeng; Arfarita, Novi
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 20, No 2 (2023): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v20i2.72485

Abstract

Monitoring  lemon production requires appropriate and efficient technology. The use of UAVs can addressed these challenges. The purpose of this study was to determine the best vegetation indices (VIs) for estimating chlorophyll content, plant height (PH), canopy area (CA), and fruit total numberas (FTN). CCM 200 was used as a tool to measure the chlorophyll content index (CCI), the number of fruits was measured by hand-counter, and other variables were recorded in meters. The UAV used was a Phantom 4 with a multispectral camera capable of capturing five different bands. The VIs was obtained via analysis of digital numbers generated by the multispectral camera. Then, the VIs was correlated with the CCI, PH, CA and FTN. VIs tested included the following: the normalized difference vegetation index (NDVI), the normalized difference vegetation index-green (NDVIg), the normalized different index (NDI), green minus red (GMR), simple ratio (SR), the Visible Atmospherically Resistant Index (VARI), normalized difference red edge (NDRE), simple ratio red-edge (SRRE), the simple ratio vegetation index (SRVI), and the Canopy Chlorophyll Content Index (CCCI). The best model for predicting CCI was obtained using the NDVIg (R2=0.8480; RMSE=6.1665 and RRMSE=0.0908). Meanwhile, SR turned out to be the best model for predicting PH (R2=0.8266; RMSE=15.6432 and RRMSE=0.0883), CA (R2=0.6886; RMSE= 0.8826 and RRMSE=0.1907), and FTN (R2=0.6850; RMSE=24.5574 and RRMSE=0.3503). The implication of these results for future activities includes establishing early monitoring and evaluation systems for lemon yield and production. This model was developed and tested in this specific location and under these environmental conditions.
Mesolandform classification and its relationship with smallholder coffee production in the Malang Regency, Indonesia Sholikah, Dinna Hadi; Jamaluddin, Jamhuri; Hasyim, Abdul Wahid; Rayes, Mochtar Lutfi; Aditya, Haidar Fari; Soemarno, Soemarno
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 22, No 1 (2025): June
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v22i1.93461

Abstract

Mesolandform analysis is necessary for smallholder coffee land management because it can clearly distinguish landform boundaries. Automatic mesolandform classification utilizes geographic information system (GIS) and remote sensing technology using the topographic position index (TPI), slope, curvature, lithology, land use, and normalized difference vegetative index (NDVI). This study aims to classify the mesolandform of smallholder coffee plantations and determine its relationship attributes with coffee production. The data included the Digital Elevation Model, lithology map, Sentinel 2 A harmonized image, and actual coffee production. The spatial analysis was performed using ArcGIS 10.8 and QGIS 3.1.6, and the statistical data analysis was performed using RStudio. Mesolandform affects coffee production (p < 0.0001) and was significantly related to it. The highest production was found on the open slope mesolandform, with coffee production ranging from 7.13 to 9.95 tons/ha. Mesolandform attributes have a significant effect on coffee production increase (R2 = 0.69) on land characteristics with high coffee vegetation density (NDVI > 0.6), topographic position in open slope to flat (TPI 0–2), dominant slope is flat to undulating (<8%), and land curvatures are level or convergent foot slope (<2). The research results can support the sustainable management of smallholder coffee plantations based on mesolandform attributes.
New Emerging and Comprehensive Land Mapping Unit at Detailed Scale: Integrating Random Forest Analysis and Remote Sensing Techniques for Sustainable Land Management Putra, Aditya Nugraha; Ustiatik, Reni; Prasetya, Novandi Rizky; Adara, Erza Aulia; Nita, Istika; Hadi, Syamsu Ridzal Indra; Soemarno, Soemarno; Sudarto, Sudarto; Utami, Sri Rahayu; Munir, Mochammad; Rayes, Mochtar Lutfi
Caraka Tani: Journal of Sustainable Agriculture Vol 40, No 3 (2025): July
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/carakatani.v40i3.97530

Abstract

Precise and detailed land mapping is essential for sustainable land management, environmental conservation, and regional planning, especially in complex and diverse landscapes. This study aims to present an innovative framework for the development of Land Mapping Units (LMUs) at a detailed scale (1:20,000), through the integration of Random Forest (RF) analysis and high-resolution remote sensing data. This study was conducted in the South Malang Plateau, Indonesia (the area characterized by karst, tectonic, volcanic, and alluvial landforms) from June to December 2024. As part of the methodology, the study utilized a combination of geospatial data, including geological maps, DEM-derived topographical indices, and remote sensing indices (Normalized Difference Soil Index/NDSI, Soil Adjusted Vegetation Index/SAVI, Normalized Difference Water Index/NDWI, Modified Soil Adjusted Vegetation Index/MSAVI). A total of 10,903 field observation points were analyzed, with 70% used for model training and 30% for validation. The results show that RF-based LMUs achieved R2 of 0.93 and Root Mean Square Error (RMSE) of 0.645, which is reliable to use. The LMUs provide a comprehensive understanding of landform-specific characteristics, including soil fertility linked to parent material, erosion sensitivity, and slope variability. These insights support applications in precision agriculture, disaster mitigation, and environmental planning. Moreover, the result can guide informed decision-making to prioritize sustainable land management that effectively prevents land degradation in the South Malang Plateau region, as stated in the Sustainable Development Goals (SDGs). The study demonstrates the potential of combining machine learning and remote sensing to refine spatial analysis and address the limitations of manual mapping methods. The proposed framework is scalable and adaptable to other diverse landscapes, making it a valuable tool for advancing sustainable land management in a rapidly changing world.
Analysis of Soil Base Cations Content after Application of Organic Fertilizer on Inceptisols at Lemon-Tree Orchard Nurdianto, Roby; Hanuf, Atiqah Aulia; Lutfi, M. Wasilul; Suntari, Retno; Soemarno, Soemarno
Agrotechnology Research Journal Vol 8, No 1 (2024): Agrotechnology Research Jurnal
Publisher : Perkumpulan Agroteknologi/Agroekoteknologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/agrotechresj.v8i1.73263

Abstract

The lack of effectiveness of fertilization and the continuous use of inorganic fertilizers result in soil quality degradation. This research was conducted to analyses the effect of compost and manure on soil base saturation. This study used a simple Completely Randomized Design with 8 (eight) treatments and 4 (four) replications. The treatment consisted of P1 (topsoil); P2 (Subsoil); P3 (topsoil + compost); P4 (subsoil + compost); P5 (topsoil + cow manure); P6 (subsoil + cow manure); P7 (topsoil + goat manure); P8 (subsoil + goat manure). The results showed that the application of topsoil + compost significantly increased the exchangeable Ca content of the soil at 8 and 12 WAA (weeks after application). Application of goat manure on topsoil influenced increasing soil exchangeable Mg and exchangeable Na. The application of various organic materials has the effect of increasing the value of soil pH, CEC, and organic C content. The deep-placement fertilization technique is deemed effective in enhancing soil quality through chemical means, particularly by augmenting base cations and the soil's cation exchange capacity. This technology is pivotal in delivering nutrients directly to plant roots, thereby mitigating fertilizer losses caused by surface runoff and volatilization.
Co-Authors Abdul Latief Abadi Abdul Wahid Hasyim Achmad Wicaksono Adara, Erza Aulia Aditya Nugraha Putra, Aditya Nugraha Aditya, Haidar Fari Ahadi, Muhammad Yanuar AHS Salendu, AHS Al Fanshuri, Buyung Alfathin, Syifa Chairani Ali Sulaiman Alista, Febri Ayu Amin Leksono Amin Setyo Leksono Andri Sanityoso Aniek Masrevaniah Anisa Zairina Anthon Efani Apriliani , Adini Ardhila Ayu Prasetyowati Arief Rachmansyah Asihing Kustanti Asnawi Asnawi Atikah Atikah Atikawati, Dini Aulia Hanuf, Atiqah B Polii, B Bagyo Yanuwiadi Bambang Rahadi Bayyinatul Muchtaromah BS, Sumitro Burhamtoro Burhamtoro, Burhamtoro Bushron, Raushanfikr Cahyo Prayogo, Cahyo Chatarina Umbul Wahyuni Chosa Zahro Fatiha Dewa Gede Raka Wiadnya Diana Arfiati Dimas Prabowo Harliando Dinna Hadi Sholikah Edrial Evi Veronica FX Pridady Galisong, Ridwan Danuarta Gumelar, Galif H. M. Sjaifoellah Noer Hadi, Deby Wahyuning Hadi, Syamsu Ridzal Indra Halim, Lusiani Ferelia Hanuf, Atiqah Aulia Ieke Wulan Ayu Ifadah, Nisfi Fariatul Irene Lestari Irsan Hasan Istika Nita Jamaluddin, Jamhuri Laurentius Lesmana Lily Agustina Luchman Hakim Luqman Qurata Aini Lutfi, M. Wasilul M. Bisri MA, Widodo Magfoedin, Moefid Maheno Sri Widodo, Maheno Sri Marsoedi Marsoedi Maryunani Maryunani, Maryunani Mimit Primyastanto Mochammad Fattah, Mochammad Mochammad Munir Mochtar Lutfi Rayes Mohammad Mahmudi Muklisin, Ajral Muktiyanto, Didik Naufal, Raihan Nopriani, Leny Sri Novi Arfarita Novianty, Puput Cindy Nuddin Harahab Nurdianto, Roby Nurlita Indah Wahyuni, Nurlita Indah Nurul Akbar Parmawati, Rita Prasetya, Novandi Rizky Pudji Purwanti Putra, Indra Purnama Ramadhani, Muhammad Hibatullah Regina R. Butarbutar Retno Astuti Retno Suntari Rida Iswati Rino Alvani Gani Riyanto, Saniya Reizta Rony Irawanto Rudin, Sofyan Sudirman Sahri Muhammad Sandra Dhesitta Putri, Sandra Dhesitta Sanita Suriani Saputra, Iwan Setyo Widagdo Sigit Wicaksono, Kurniawan Siska Irhamnawati Pulogu Siti Mechram Sjaifoellah Noer Sri Rahayu Utami Sri Sudaryanti, Sri Sudarto Sudarto Sugeng Prijono Sugeng Priyono Suharjono Sukmajati, Rahmanda Muhammad Sumedi Sumarsono Sutiman B. Sumitro Unggul B. Husodo Usman Usman Ustiatik, Reni Veryl Hasan Wike Agustin Prima Dania Yanuhar, Uun Yogi Sugito Yulianto, Alfian Tri Yulma, Yulma Yumna, Alifa Yuni Agung Nugroho Yunita, Dinda Mahartian Yuswono Hadi Zaenal Kusuma