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All Journal Journal of Tropical Soils JTSL (Jurnal Tanah dan Sumberdaya Lahan) Journal of Degraded and Mining Lands Management SAINS TANAH - Journal of Soil Science and Agroclimatology Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian
Aditya Nugraha Putra
Faculty Of Agriculture, Brawijaya University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Environmental Science

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PENGARUH PERBEDAAN TUTUPAN LAHAN TERHADAP INFILTRASI TANAH PADA KAWASAN UB FOREST KARANGPLOSO MALANG Kurniawan Sigit Wicaksono; Istika Nita; Aditya Nugraha Putra; Widianto Widianto; Fikri Hadi Rusdianto; Priska Ayuningtyas
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 1 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.078 KB) | DOI: 10.21776/ub.jtsl.2022.009.1.14

Abstract

Changes in land cover of forest provide different soil organic matter which affects soil infiltration through soil porosity. The purpose of this study was to determine the effect of differences in land cover on soil infiltration at UB Forest of Karangploso Malang. The study area was divided into six plots, namely protected area plots, mahogany production forests, pine production forests intercropped with coffee plants that have three different canopy densities (tenuous, sufficient and tight) and pine production forests intercropped with seasonal crops. Field observations were carried out to analyze the characteristics of vegetation with a sample plot measuring 20x20 m. The parameters observed were canopy density, basal area, plant density, litter and understorey. The taking of soil samples was done by making minipit which was repeated four times;  the parameters observed were organic matter, texture, bulk density, particle density and soil porosity. Infiltration measurements were carried out with two methods i.e. single ring infiltrometer and rainfall simulator, each of which was repeated three times. Observation data were subjected to Analysis of Variance (ANOVA) and followed by with LSD test with a significant level of 5%. The results showed that differences in land cover can affect soil infiltration (F-count > F-table 3.33). The effect of land cover on infiltration occurs through litter which is a source of organic material which will then affect the physical properties of the soil, namely soil porosity. Soil porosity is a very influential factor in soil infiltration. The highest soil infiltration reta of 131.33 cm hour-1 was found in protected areas. Meanwhile, the lowest infiltration rate of 12 cm hour-1 was found in pine production forest plots intercropped with annual crops.
PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG Deffi Armita; Aditya Nugraha Putra; S Sudarto; Istika Nita; Hana Kusumawati; Dekan Rahmat Wahyudianto; Hanifah Ainur Dienna; Naafi Tiara Windari; Achmad Bima Fauzi; Ivena Hafshah Khairunnisa; Sri Agustiningsih; Rosy Lesmono Putri
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 1 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.849 KB) | DOI: 10.21776/ub.jtsl.2022.009.1.15

Abstract

Potato production in Indonesia decreased by 2.43% from 1,314,657 in 2019 and 1,282,768 tons in 2020. One of the causes of the decline in potato production is a lack of potassium. Potassium nutrient deficiency can be caused by fertilization that is not yet precise and is still done conventionally. The purpose of this study was to estimate the nutrient content of potassium using Sentinel 2-A. This study observed 50 points that were determined through the free grid method. Sentinel 2-A was transformed into GLI, GNDVI, NDVI which is the vegetation index and NDSI, and SAVI which is the soil index. The results showed that plant K correlated with GLI CS index (r = -0,46), NDVI CS (r = -0,48) and NDSI CS (r = -0,46). NDVI CS (R2 =2 3%) is the most accurate index in estimating the nutrient content of Potassium than GLI CS (R2 = 21%) and NDSI CS (R2 = 21%). Based on the results of the plant K regression test and NDVI CS, the regression equation y = 1,8003 + (-0,5716 NDVI CS) was obtained. The results of the validation test showed that the t table (-3.18) > t count (2.15) so that there is a significant difference in the estimation results of potassium with the results of potassium obtained in the field. Based on the results of the validation test which were significantly different, the productivity estimation model could not be used to estimate the potassium nutrient in potatoes.
Co-Authors Achmad Bima Fauzi Achmad Wildanul Khakim Aftomi Firman Aditama Albert Fernando Sitorus Alia Fibrianingtyas Alia Fibrianingtyas Ananda Ginanthian Alpheratz Ridwan Arifin, Syamsul Bramantia Setiawan Deffi Armita Dekan Rahmat Wahyudianto Didik Suprayogo Dinna Hadi Solikah Dwi Okiyanto Erekso Hadiwijoyo Fata, Yulia Amirul Fikri Hadi Rusdianto Gali Gusira Hana Kusumawati Hanifah Ainur Dienna Hayyuna Khairina Albayani Iqbal Rizky Nugroho Istika Nita Iva Dewi Lestariningsih Ivena Hafshah Khairunnisa Khanza A’maladewi Sudharta Kurniawan Sigit Wicaksono Lukman Mei Widitya Martiana Adelyanti Melati Julia Rahma Naafi Tiara Windari Nina Dwi Lestari Priska Ayuningtyas Qoid Luqmanul Hakim Raushanfikr Bushron Rifqi Rahmat Hidayatullah Rizki Maulana Ishaq Rosy Lesmono Putri S Sudarto S Sudarto S Sudarto S Sudarto Sativandi Riza Shofie Rindi Nurhutami Sifa’ul Janahtin Sri Agustiningsih Sudarto Sudarto Sudarto Sudarto Syahrul Kurniawan Syamsu Ridzal Indra Hadi Widianto Widianto