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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

Author-ID : 2840340

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Education Environmental Science

Published : 12 Documents Claim Missing Document

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Articles

Title

PEMETAAN DAERAH RAWAN LONGSOR DI KECAMATAN PUJON MENGGUNAKAN METODE ANALYTIC HIERARCHY PROCESS (AHP Bramantia Setiawan; S Sudarto; Aditya Nugraha Putra
Jurnal Tanah dan Sumberdaya Lahan Vol. 4 No. 2 (2017)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

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Pujon is one area in East Java province, which often landslides. Relief hilly to mountainous with steep slope to steep and high rainfall intensity causes landslides. Given the magnitude of the threat of landslides, it is necessary to study the estimation of landslide area by utilizing the limited data, especially the area around the transport path. Information about potential landslide hazard map is indeed very good, but often encountered problems in preparation for recording at least a landslide. This problem can be solved by a method called Analytic Hierarchy Process (AHP). This method can be used when there is limited quantitative data. The research was conducted in the Kalikonto watershed, Malang, East Java Province. The results showed that Pujon can be grouped into four classes of landslide susceptibility, namely: not vulnerable, somewhat vulnerable, vulnerable and very vulnerable. The area is not vulnerable area of 9,770 ha, or 64.05% of the total area, somewhat vulnerable area of 4.9001 ha or 30.82%, vulnerable of 768 ha or 5.03% and the area is very vulnerable of 14.85 ha or 0.1 %. The factors that most influence susceptibility to landslides in Pujon is a slope with a score of 45% weight of all parameters. However, the assessment of AHP in Pujon not fully applicable. Estimation of the potential hazard of landslides manually generate distribution maps of landslides are quite accurate, but the use of expert choice could not be applied.Â

ESTIMASI KANDUNGAN UNSUR HARA KALIUM DAN MAGNESIUM PADA TANAMAN NANAS (Ananas comosus (L) Merr.) Menggunakan Unmanned Aerial Vehicle (UAV) DI PT. GREAT GIANT PINEAPPLE Lukman Mei Widitya; S Sudarto; Aditya Nugraha Putra; Dwi Okiyanto
Jurnal Tanah dan Sumberdaya Lahan Vol. 5 No. 2 (2018)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.519 KB)

Central Lampung is one of the areas that produce a lot of pineapple. Pineapple plants require potassium and magnesium nutrients to produce optimal fruit. The apparent appearance of chlorotic symptoms due to nutrient deficiency of potassium and magnesium makes it possible to be detected using aerial photographs. This study aimed to compare between Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Vegetation Index (NDVI) and spectral values for predicting potassium and magnesium contents in pineapple plants. The result of regression test showed that GNDVI had the best relationship than NDVI and spectral values. The equation for predicting the potassium nutrient in pineapple plant was with the formula: K=3,342-1,501(GNDVI) with RMSE value 0,1634. The Estimation magnesium in pineapple plants, NDVI had a better relationship with magnesium than with GNDVI and spectral values. The equations for magnesium estimation in plants with NDVI were obtained by using the regression test, i.e.: Mg=0,083+0,288(NDVI) with RMSE of 0,0342. Paired T-test values of GNDVI with potassium (-1,007) and NDVI with magnesium (-1,048) showed that t count was smaller than t table (2,015) and the significance value of both was greater than alpha (Î± = 0,05). So it can be said that the value of estimation with the actual value in the field has no difference that significant.

EVALUASI KESESUAIAN LAHAN DAN ANALISIS POTENSI PRODUKTIVITAS TANAMAN JAHE (Zingiber officinale Rosc.) DI KABUPATEN MALANG Iqbal Rizky Nugroho; Syahrul Kurniawan; Aditya Nugraha Putra
Jurnal Tanah dan Sumberdaya Lahan Vol. 7 No. 2 (2020)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Suitable land is needed to support the growth of the ginger plant to increase its productivity. Climate, soil physics, soil chemistry, and land data information are needed for land suitability assessment. Land suitability evaluation technology is used to identify suitable land to grow optimally. This study aimed to map the ginger suitability in Malang district, analyze the limiting factors that most influence the growth of ginger, and analyze the relationship between land suitability class and ginger productivity in Malang district. The study was conducted using the survey method active field survey. The method for determining land suitability criteria used criteria developed by the Ministry of Agriculture of Indonesia. The data obtained were analyzed using correlation and regression. Â The results showed that the level of slope did not affect productivity. The research area, which is located in Karangploso, Singosari, Jabung, Pagak, and Kalipare Districts, has a grade of land suitability S3 (marginally suitable). Based on the results of the study, the level of slope does not affect productivity, the research areas which are located in Karangploso district, Singosari, Jabung, Pagak and Kalipare has a grade of land suitability S3 (Marginally Suitable). The characteristics of the land that most influenced the productivity of ginger according to the sequence were available-P, organic-C, CEC, and exchangeable Ca with the equation of y = 3.292 + (0.-219) X1 + 0.333X2 + 0.335X3 + 0.348X4 and RÂ²= 0,695. Land suitability class had a strong relationship with ginger plant productivity; the value of the correlation coefficient (r) was 0.766

PENGARUH LAMA PENYINARAN MATAHARI TERHADAP POTENSI PRODUKSI PADI BERDASARKAN ANALISIS SPASIAL DI KABUPATEN MALANG Gali Gusira; S Sudarto; Aditya Nugraha Putra
Jurnal Tanah dan Sumberdaya Lahan Vol. 8 No. 1 (2021)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

The agriculture sector holds an essential role to produce foodstuff, including rice. Malang Regency accomplishes about 0,915% from the total of national rice consumption needed. Any natural factor can influence rice productivity such as the time of sun exposure, where sun exposure at around Malang Regency is equal to 7,5-10,7 hour day-1 based on data from 8 climatological stations. This study aimed at analyzing the influence of time exposure toward rice production potential in Malang Regency. The study consisted of four stages, namely: preparation, pre-survey, survey, and data analysis. Data analysis consisted of correlation and stepwise regression tests. The validation test was carried out to test the feasibility of the observed variables. In addition, a spatial analysis was carried out to determine the distribution of the duration of sun exposure and productivity of rice fields in Malang Regency using ArcGIS 10.3. The results showed that the time of exposure gives a low contribution impact on rice production potential with a correlation value of 0.023. This gives an explanation that there is another factor besides the time of sun exposure that could provide a bigger impact. Surface soil permeability in this research is the only other factor that could influence production potential significantly, with influence level as high as 14.7%. But, result from validation test showed that the p-value obtained is equal to 0.000 (p <0.05), indicating a significant difference between potential production based on the exposure with the results of the field survey, so that the exposure factor still could be used to predicted rice production result in Malang Regency.

ANALISIS POTENSI DAN RISIKO BANJIR PADA LAHAN PERTANIAN DI KABUPATEN PACITAN Istika Nita; Aditya Nugraha Putra; Hayyuna Khairina Albayani; Achmad Wildanul Khakim; Shofie Rindi Nurhutami
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 1 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Flood is a national disaster in Indonesia. Some of those factors, landform driven factors and non-driven factors in the form of land use management. Pacitan Regency has an alluvial landform that is vulnerable to flooding. BNPB states that the floods in 2018 continued on 07 March 2019, as a massive flood resulted in losses reaching > 600 billion. This study analyzed the potential and risk of flood in Pacitan Regency in 2018, in the past (1998 and 2008), and used it to projected future floods (2030). The research focused on land use change and its impact on flood potential and hazards. The potential and risk of flooding were analyzed using Paiminâ€™s method. The parameter was analyzed from Landsat 5, 7, and 8 images in an unsupervised. The trend will be used for Business As Usual (BAU) analysis in 2030. As a comparison, land use analysis carried out based on Land Ability Class (KKL) and Spatial Planning (RTRW). Data validation using confusion matrix overall accuracy. As a result, there had been an increase of potential floods in high and very high levels (1998 to 2018) around 263.04 ha and 368.99 ha. This continues until 2030 (BAU), around 191.61 ha and 172.8 ha. Land use management with RTRW will increase the potential flooding at a very high level in 2030 + 1088.63 ha. The best land management is the KKL application which reducing the flood potential at a very high level + 1973.39 ha. Accuracy tests conducted at 100 points in 2018 showed that 88 model points matched the flooding event ( 88% accuracy).

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

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; Â 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

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

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