Claim Missing Document
Check
Articles

Found 12 Documents
Search

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

Abstract

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

Abstract

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

Abstract

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.
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

Abstract

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)

Abstract

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. 
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)

Abstract

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 (α = 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (949.328 KB) | DOI: 10.21776/ub.jtsl.2020.007.2.23

Abstract

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.  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 R²= 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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (914.509 KB) | DOI: 10.21776/ub.jtsl.2021.008.1.7

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (919.397 KB) | DOI: 10.21776/ub.jtsl.2022.009.1.5

Abstract

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 Paimin’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

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.