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All Journal Journal of Tropical Soils JTSL (Jurnal Tanah dan Sumberdaya Lahan) AGRIVITA, Journal of Agricultural Science Caraka Tani: Journal of Sustainable Agriculture
Mochammad Munir
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Agriculture, Biological Sciences & Forestry Environmental Science

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Study of Soil Chemical Properties on Palm Oil Productivity in PT. Gemilang Sejahtera Abadi in East Kalimantan Christian, Bertolomius Medy; Munir, Mochammad; Wicaksono, Kurniawan Sigit
JOURNAL OF TROPICAL SOILS Vol. 29 No. 3: September 2024
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2024.v29i3.127-133

Abstract

East Kalimantan is a region that contributes to palm oil production. Industrial development in the area still needs to be improved in some plantations because there is a limiting palm oil productivity. This study examined the chemical properties of the soil on the PT. Gemilang Sejahtera Abadi (GSA) plantation. Observations were made in four fields with the same variety but different productivity levels. Correlation analysis and simple linear regression were used to identify factors influencing productivity. The soil on the plantation land was dominated by Typic Hapludults soil type, included in the Ultisols order. The highest productivity was found in Afdeling 1, 2, and 5, while the lowest was in Afdeling 4. The pH in each afdeling was classified as acidic, and the Organic-C, N, and base saturation contents were low. The CEC in afdeling 1 and 2 was classified as medium, while in afdelings 4 and 5 was low. All correlation analyses showed a positive relationship between the variables and palm oil productivity, with low correlation coefficients for pH, organic-C, N, P, and base saturation. The correlation coefficient between CEC and palm oil productivity has a strong relationship.
ESTIMASI KANDUNGAN BAHAN ORGANIK TANAH DI LAHAN TANAMAN JERUK, KECAMATAN DAU, KABUPATEN MALANG MENGGUNAKAN INDEKS VEGETASI DAN SISTEM INFORMASI GEOGRAFIS Saputra, Muhammad Fiqriansyah Wiradirga; Munir, Mochammad
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.2024.011.1.20

Abstract

Citrus plants (Citrus sp.) are most plants that grow in Petungsewu Village, Dau District. The decreased productivity of citrus plants causes the availability of citrus plants also to decrease. This needs to be increased to meet citrus plants' needs. The influence of soil organic matter is the main factor causing a decrease in the productivity of citrus plants in Petungsewu Village, Dau District. Therefore, it is necessary to estimate soil organic matter using the NDVI vegetation density index to obtain adequate and efficient results. Reliability testing was also carried out to know the accuracy level of the estimates made. The research was conducted at the Citrus Plantation and Subtropical Fruit Research Institute in Petungsewu Village, Dau District, Malang Regency. Estimation of soil organic matter using the NDVI vegetation density index showed an accuracy rate of 81.1%. The results of the accuracy analysis were strengthened by the presence of a paired t-test with a value of t = 0.01 and a value of p = 0.991.
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.
Co-Authors Adara, Erza Aulia Aditya Nugraha Putra, Aditya Nugraha Aldo Holyman Bayu Firdaus Muslim Christian, Bertolomius Medy Hadi, Syamsu Ridzal Indra Hafiz Akbar Pamungkas Istika Nita Jauhary, Muhammad Rifqi Al Ken Shavira Parasayu Kurniawan Sigit Wicaksono Kurniawan Sigit Wicaksono, Kurniawan Sigit Mochtar Lutfi Rayes Prasetya, Novandi Rizky Retno Suntari Rurini Retnowati Rurini Retnowati Saputra, Muhammad Fiqriansyah Wiradirga Soemarno Soemarno Soemarno Soemarno Soemarno Soemarno Soemarno Sri Rahayu Utami Sudarto Sudarto Ustiatik, Reni Yiyi Sulaeman