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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 Jurnal HPT (Hama Penyakit Tumbuhan)

Aditya Nugraha Putra

Faculty Of Agriculture, Brawijaya University

Author-ID : 2840340

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

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Reliability of using high-resolution aerial photography (red, green and blue bands) for detecting available soil water in agricultural land Aditya Nugraha Putra; Istika Nita
Journal of Degraded and Mining Lands Management Vol 7, No 3 (2020)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2020.073.2221

The need for irrigation water is influenced by soil water content or more precisely by available water (pF 2.5 and pF 4.2). There is a need for technological breakthroughs in using Unmanned Aerial Vehicle (UAV) to identify water content quickly and broadly and accurately. The study was conducted in an area of ±18 hectares in the Sisim Sub Watershed in September 2019 at 09.00 a.m. Aerial photographs were taken at an altitude of 100 m with DJI Phantom Pro 3.0. The number of observation points was 75 points, where 15 points for validation were calculated based on the map scale. Photo processing was made using Agisoft. The Digital Elevation Model (DEMNAS) with 8.2 m resolution was used to compare the red, green and blue bands. The analysis used was Co-Kriging Geo Statistics Analysis, the compilation of algorithms based on the regression equation and ten index formulations. Validation was done by correlation continued with the regression or paired t-test if the parameter relationship was close. The available water measured in the field ranged from 5.16-48.28%. The results showed that the formulation of soil water content could be run on the Red, Green, and Blue bands, Intensity index, TGI index, ExGreen index and DEMNAS with a weak correlation (below 0.5), where TGI had the highest value (r=0.32). A test of t-pairing was not done because of a weak correlation. The highest estimation of pF 4.2 is DEMNAS (r=0.35), and pF 2.5 was on the TGI index (r=0.4).

Comparison of soil physical properties and soil-vegetation indices to predict rice productivity in Malang Regency of East Java Aditya Nugraha Putra; S Sudarto; Ananda Ginanthian Alpheratz Ridwan; Aftomi Firman Aditama; Sifa’ul Janahtin
Journal of Degraded and Mining Lands Management Vol 8, No 4 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.084.2891

Rice has become the leading food commodity in Indonesia, with total production reached +54.60 million tons in 2019. However, the production tended to decrease by around 8% from 2018 to 2019, while the rice consumption increased by +1.53 tons. This study aims to develop a rice production estimation model using the soil-vegetation index transformation (MSAVI and SAVI) and soil physical properties, which has the advantage of being faster, cheaper, and more accurate than conventional methods. The soil physical properties were taken based on soil mapping units and analyzed with soil physical parameters. The results showed strong relationships between rice productivity - soil physical characteristics and rice productivity – MSAVI and EVI with r values of 0.97, 0.83, and 0.74, respectively. The soil physical properties have a better coefficient of determination and accuracy than soil-vegetation index. The prediction model of rice production by soil physical properties is formulated inward γ = -8.96+0.01 (Top Soil Sand) + 0.01 (Top Soil Silt) + 6.28 (Bulk Density) - 14.07 (Penetration) - 0.13 (Sub Soil Permeability). There is no difference in the productivity value between model and laboratory analysis result. These results indicate that the rice yield prediction model can be used for estimation purposes.

Response Macronutrient Content of Saline-Resistant Paddy to the Saline Source Distance Aditya Nugraha Putra; Martiana Adelyanti; Albert Fernando Sitorus; Qoid Luqmanul Hakim; Melati Julia Rahma; Istika Nita; Sudarto Sudarto; Alia Fibrianingtyas
JOURNAL OF TROPICAL SOILS Vol 26, No 2: May 2021
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2021.v26i2.63-74

The impact of salinity on paddy production in Indonesia was pronounced with an average decline of 6.83% (2015-2019). Salinity interferes with macronutrients' absorption into plants, causing stunted growth (salinity contributed to a 42% decrease in paddy production). One solution to solve the salinity problem in paddy is to use saline varieties. There were very few studies on macronutrient content analysis in resistant varieties response to the salinity source's distance. This research conducted in Jabon Sidoarjo, Indonesia, aims to see the macronutrient response and plant growth to the saline source's distance. This research was conducted in Jabon District, Sidoarjo Regency, using two transects with a length of 2 km and 3.4 km, respectively. The distance between the research location and the salinity source was 10.65 km. The survey used a free grid to adjust paddy fields' location and the presence of resistant varieties. The results showed that the closer to the salinity source, the salinity indicators consisting of Electrical Conductivity, Sodium Adsorption Ratio, Exchangeable Sodium Percentage, and pH H2O would increase. The increase in salinity then affects the decrease in macronutrients (Nitrogen, Phosphor, and Kalium) in plants. However, tillers and leaves (length and number) were unaffected by high salinity levels in the soil.

Analysis of drought hazards in agricultural land in Pacitan Regency, Indonesia Istika Nita; Aditya Nugraha Putra; Alia Fibrianingtyas
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 17, No 1 (2020): June
Publisher : Universitas Sebelas Maret

Pacitan Regency is a region in East Java Province with varied landforms and high disaster potential, including drought. The drought hazard in this region has not yet been determined. This study was conducted to analyze the potential of drought in Pacitan Regency in 2018 with the previous two decades (1998 and 2008) to predict future droughts. The study also focused on verifying how land-use changes impact drought potential. Mapping drought potential was based on the Ministry of Forestry method and was modified for this study. Drought potential was determined by scoring features and analyzing with a weighted overlay. Reference parameters and patterns of land-use change, as determined by Landsat 5, 7, and 8 satellite imagery, were analyzed. Then, the changing pattern was used to predict future 2030 land-use patterns using business as usual (BAU) analysis. For comparison, a land-use analysis was also done using the land capability class (LCC) and regional spatial plan (RSP). Data was validated using a confusion matrix. The accuracy of the drought estimation for Pacitan Regency was 75%. The results showed that the drought potential high and very-high level risk groups increased. The increase occurred due to changes in land use, specifically land management and plant species selection. Based on the results of the predicting BAU analysis, the level of potential of drought will increase by 2030. The regional spatial plan (RSP) and LCC analysis determined that, with no drought intervention, drought hazard in Pacitan Regency will increase.

Pemetaan Partisipatif LULC dan Kebakaran Hutan Bersama Masyarakat DAS Mikro Gumandar-Kedawung Aditya Nugraha Putra; Syamsu Ridzal Indra Hadi; Sativandi Riza; Rizki Maulana Ishaq; Syamsul Arifin; Sudarto Sudarto; Lenny Sri Nopriani; Nina Dwi Lestari; Yulia Amirul Fata; Khanza A’maladewi Sudharta; Dinna Hadi Solikah; Iva Dewi Lestariningsih; Erekso Hadiwijoyo; Raushanfikr Bushron; Rifqi Rahmat Hidayatullah; Didik Suprayogo
Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian Vol 2, No 4 (2022): December
Publisher : Magister Pendidikan Nonformal Pascasarjana Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/dikmas.2.4.1053-1068.2022

Kebakaran hutan yang sering terjadi di kawasan hutan DAS Mikro Gumandar-Kedawung terjadi akibat faktor alam dan faktor sosial. Kondisi bagian hulu DAS mikro yang berbatasan langsung dengan padang rumput dan ilalang menyebabkan api menjalar cepat masuk ke kawasan hutan. Hal ini perparah dengan beberapa oknum dari masyarakat sekitar yang sengaja menyalakan api untuk berburu dan mencuri kayu di dalam hutan. Proses identifikasi lokasi rawan kebakaran dan perubahan penggunaan lahan yang menjadi dampak dari bencana ini lokasinya sangat sulit diidentifikasi oleh pengelola hutan dan masyarakat karena belum terdapat data spasial. Kegiatan pengabdian berbentuk pemetaan partisipatif (participatory mapping) ini bertujuan untuk mengidentifikasi wilayah di DAS Mikro Gumandar-Kedawung, terutama terkait pemahaman masyarakat terhadap lokasi bekas kebakaran dan perubahan penggunaan lahan, sehingga dapat ditentukan solusi dan lokasi dari upaya pemberian solusi tersebut oleh masyarakat sekitar. Hasil analisis dan groundcheck dengan masyarakat menunjukkan bahwa lokasi-lokasi terbuka (berdasarkan peta perubahan-tutupan lahan 2015-2022) bertambah di tahun 2022 seiring dengan berkurangnya hutan alami sekitar 11%. Lahan-lahan terbuka yang diidentifikasi dari perubahan penggunaan dan tutupan lahan telah dikonfirmasi oleh masyarakat bahwa seluruh titik lokasi kebakaran sesuai dengan kondisi aktual. Kesadaran masyarakat yang semakin meningkat terhadap kebakaran dibuktikan dengan adanya pembuatan sekat bakar dan upaya reboisasi di hutan alami. Bersama masyarakat, lokasi konservasi digambarkan di dalam peta sehingga tersusun data spasial yang dapat digunakan sebagai acuan monitoring dan evaluasi.

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1170.258 KB)

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).

Co-Authors Achmad Bima Fauzi Achmad Wildanul Khakim Aftomi Firman Aditama Albert Fernando Sitorus Alia Fibrianingtyas Alia Fibrianingtyas Ananda Ginanthian Alpheratz Ridwan Antok Wahyu Sektiono Arifin, Syamsul Bramantia Setiawan Deffi Armita Dekan Rahmat Wahyudianto Didik Suprayogo Dinna Hadi Sholikah 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 Kurniawan Sigit Wicaksono Lenny Sri Nopriani 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 Sativandi Riza Shofie Rindi Nurhutami Sifa’ul Janahtin Sri Agustiningsih Sudarto Sudarto Sudarto Sudarto Syahrul Kurniawan Syamsu Ridzal Indra Hadi Wanda Kristiawati Widianto Widianto

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