Jurnal Tanah dan Sumberdaya Lahan

SEBARAN KONSENTRASI LOGAM BERAT DI LAHAN PERTANIAN KABUPATEN WONOSOBO

2023-05-29T06:27:19+00:00

The agricultural sector is still the leading sector of the economy in Wonosobo Regency. Its superior commodities include paddy rice, tea, tobacco, coffee, and vegetable plants. In the practice of agricultural activities, it is inseparable from the use of inorganic fertilizers and persistent chemical pesticides that cause heavy metal contamination in agricultural land. Industrial waste around agricultural land that enters the water body also contributes to the accumulation of heavy metals in the soil of the water for irrigation. This study aimed to determine the distribution of heavy metal content of Pb, Cd, Ni, Co, Cr, and As on the agricultural land of Wonosobo Regency. The study was conducted on the agricultural land of Wonosobo Regency. As many as 312 soil samples were taken from a layer of sports (depth of 0-20 cm) of agricultural land in ten sub-districts of Wonosobo Regency. Soil sample analysis included heavy metals Pb, Cd, Ni, Co, Cr, As, organic Carbon, CEC, and soil texture. The analysis was carried out in an integrated laboratory, the Agricultural Environment Research Center. The results showed the concentration of heavy metals detected in Wonosobo Regency agricultural land respectively Pb > Co > Ni > Cr > As > Cd. These heavy metals in the soil are still in normal concentrations and are safe for agricultural land.

SIFAT FISIK TANAH DAN PERTUMBUHAN TANAMAN PADI (Oryza sativa L.) SEBAGAI DAMPAK PENGAPLIKASIAN DEKOMPOSER PADA SISTEM REKOMENDASI PEMUPUKAN BERBASIS CITRA KAMERA MULTISPEKTRAL DI SUKAMANDIJAYA, JAWA BARAT

2023-05-24T03:42:44+00:00

Application of balanced fertilizers and the use of decomposers on land can improve soil health and nutrient availability for plants. Giving recommended doses of fertilization through the use of multispectral camera images lead to more efficient fertilization. This study aims to analyze the impact of the application of decomposers on the implementation of a multispectral camera image-based fertilizer recommendation system on soil physical properties, growth, and crop yield. This research was carried out from November 2021 to April 2022 at the experimental field in Sukamandijaya Village, Ciasem District, Subang Regency, West Java. This study was carried out with 2 treatments, namely land without the decomposers (P1) and with the decomposers treatment (P2) on rice fields of the Mekongga variety. The decomposer used was Petro Gladiator with dose 5 liters/ha (480 ml/plot or 56 ml/m²). Data analysis was carried out by unpaired T test at 5% level to determine the effect of decomposer application on soil physical properties as well as growth and crop yield. The results showed that the application of decomposers to fertilizer recommendation systems based on multispectral camera images can improve soil conditions including improvements in soil bulk density, soil particle density, total pore space, soil moisture content pF 1, 2, and 4.2, available pore water, then soil pH, available-P soil contents, potential-K soil content, as well as rice plant height.

EFEK APLIKASI PUPUK KANDANG KAMBING DAN PUPUK N, P, K TERHADAP SIFAT KIMIA TANAH, SERAPAN P, PERTUMBUHAN DAN PRODUKSI SAWI HIJAU (Brassica juncea L.) DI KECAMATAN TULANGAN, KABUPATEN SIDOARJO

2023-05-19T14:49:41+00:00

The high demand for mustard greens from consumers in Sidoarjo has forced farmers to increase their production. One of the efforts made is to provide excessive N, P, and K fertilizers. This study aimed to analyze the effect of the combined application of goat manure and N, P, K on growth, yield, P uptake, and soil chemical properties. Six treatments and three replications arranged in a randomized block design. The results showed that the combination of goat manure and N, P, K fertilizer had a significant effect (p<0.05) on plant height, number of leaves, plant fresh weight, total plant P, soil pH, soil organic C, soil total N, soil C/N ratio, and soil total P, but not significantly different (p>0.05) on plant dry weight, P absorption, and available P of the soil. The combination of goat manure and N, P, K fertilizer increased plant height from 36.4 cm to 50 cm (+37.4%), number of leaves from 18 to 43 leaves (+143.8%), fresh weight from 92 g to 310 g (+237%), dry weight from 10.8 g to 14.1 g (+30.6%), total crop P from 1.4% to 1.45% (+3.6%), P uptake from 15.1 g to 20.5 g (+35.2%), organic C from 0.97% to 1.25% (+28, 9%), total N from 0.35% to 0.42% (+20%), C/N ratio from 2.77 to 2.97 (+7.2%), total P from 18.9 mg 100 g-1 to 36.6 mg 100 g-1 (+26.6%), and available P from 4.22 ppm to 6.24 ppm (+49.9%).

PREDIKSI KONVERSI LAHAN PERTANIAN BERBASIS ARTIFICIAL NEURAL NETWORK-CELLULAR AUTOMATA (ANN-CA) DI KAWASAN SLEMAN BARAT

2023-05-17T15:12:35+00:00

Analysis and prediction of land conversion using spatial-temporal data are essential for environmental monitoring and better land use planning and management. The West Sleman area has the potential to experience land use changes due to anthropogenic factors. This study aimed to determine the spatial-temporal dynamics of land use change in 2012-2022 and predict future land use change using the ANN-CA model for 20 years (2022-2042). Analyzed the spatial-temporal dynamics of land use change based on land use data derived from SPOT imagery, then predicted future land use change with the ANN-CA model using the MOLUSCE plugin on QGIS Desktop 2.18.11. The simulation results showed an accuracy of 86.66% and an overall Kappa value of 83% obtained by comparing the actual data in 2022 with the simulated data on land use change in the same year. The irrigated paddy fields decreased by 6.39% (685.22 ha) due to conversion to settlements. The area of residential buildings increased by 4.65% (498.49 ha) during 2012- 2017. Predictions of land use change in 2022-2042 show that the reduction of irrigated paddy fields will continue, and the number of residential buildings tend to increase.

KLASIFIKASI WILAYAH RISIKO BENCANA BANJIR DI KOTA SEMARANG DENGAN PERHITUNGAN INDEKS VEGETASI

2023-05-01T12:41:21+00:00

Land use in an area is influenced by population growth and activities. Changes in land use continuously will cause environmental changes that often trigger an increase in natural disasters. In this study, the assessment was carried out using the calculation of the Normalized Difference Vegetation Index (NDVI), Normalized Difference Wetness Index (NDWI) and Soil Adjusted Vegetation Index (SAVI). The data used came from Landsat OLI 8 imagery data from 2020 to 2023. The results of this study showed that in the range of 2020 to 2023 the changes in the three calculations of the vegetation index were not significant. From the data obtained, the classification for calculations in the rainy and dry seasons was the same, the NDVI vegetation index obtained high vegetation, the SAVI vegetation index obtained forested vegetation, and the NDWI vegetation index obtained high wetness. Overall the assessment of the vegetation index obtained good results, and it can be concluded that not all areas in Semarang City are at risk of flooding, even during the rainy season.

MODEL PERUBAHAN TUTUPAN LAHAN BERBASIS CA-MARKOV: STUDI KASUS KECAMATAN TERNATE UTARA, KOTA TERNATE

2023-04-29T02:03:15+00:00

North Ternate Sub-district is located in the center of Ternate City, making it a sub-district that has an increasing population every year. The increase in population certainly affects the increase in built-up land, which certainly affects environmental damage, climate change and other socio-economic problems. This study aims to predict land cover change in North Ternate Sub-district in 2003, 2013, 2023 and 2032 based on CA-Markov. This research used CA-Markov method to predict land cover in 2023. The results showed that in 2003, 2013, 2023 and 2032, built-up land annually experienced an increase in area, this is certainly influenced by the increase in population, and the need for land for settlement is getting higher every year. Agricultural land, non-agricultural land and open land continue to decrease in the area due to the conversion of these types of land cover to built-up land. The results of this prediction are very useful for the government in making policies related to sustainable spatial planning in the future.

ESTIMASI CADANGAN KARBON PADA TANAH BEKAS TAMBANG EMAS DI KABUPATEN DHARMASRAYA, SUMATERA BARAT

2023-04-27T08:31:22+00:00

Climate change, deforestation, and substantial loss of agricultural land within gold mining concessions in Dharmasraya greatly affect soil carbon stocks (Cs). This study used a survey method with purposive random sampling based on variations in ex-gold mining areas in each region, at depths of 0-20 and 20-40 cm with three to five replicates with a total of 54 samples. The estimation of Cs in ex-gold mining soil was highest at a depth of 20-40 cm (5.89E2), compared to a depth of 0-20 cm (1.38E2), where bulk density (BD), soil organic carbon (SOC), and total Hg in ex-gold mining soil at a depth of 0-20 and 20-40 cm were 1.46 and 1.39 g cm^-3; 0.03 and 0.05%; 4.11 and 4.25 mg kg^-1, respectively. The Cs in ex-gold mining soil at a depth of 0-20 cm is very significant by BD (r=-0.522** or Cs=-628.03(BD)+1055.1; R²=0.275) and SOC (r=0.948** or Cs=4896.8(SOC)-6.4673; R²=0.8996) and total Hg (r=0.518** or Cs=81.373(Hg)-196.43; R²=0.2688). However, at a depth of 20-40 cm, it was very significant by SOC (r=0.836** or Cs=16666(SOC)-196.03; R²=0.699).

KORELASI NILAI KADAR KARBON DENGAN ESTIMASI PRODUKTIFITAS PADI SAWAH VULKANIS GUNUNG TALANG

2023-04-17T08:11:15+00:00

Organic carbon contributes to increasing soil productivity. In determining the soil fertility indicators, soil organic carbon mapping is required to provide information and demonstrate the distribution of organic carbon. In this study, remote sensing method testing was carried out by comparing data between observations in the field with rice productivity estimation data using Landsat 8 imagery. The observation was conducted on paddy fields with an area of about 4,800.86 ha in the volcanic region of Mount Talang. This research used a survey method with a grid system of 1,000 x 1,000 m intervals with a soil depth of 0-20 cm and 20-40 cm. The parameters of the soil observations carried out were bulk density, pH, and organic carbon. The results showed that Mount Talang volcanic rice fields had an estimated soil organic carbon stock of ±6,426.118 tons. A weak correlation was obtained between organic carbon and the estimated value of paddy rice productivity (r =0.024). Hence organic carbon in the study area could not be estimated with the value of lowland rice productivity.

ANALISIS KEBUTUHAN AIR TANAMAN SELADA (Lactuca sativa L.) PADA INCEPTISOL DAN VERTISOL BERBASIS INTERNET OF THINGS (IoT)

2023-04-13T10:30:00+00:00

Lactuca sativa L. has good economic prospects, but lettuce production often declines due to the unmet water requirement of lettuce. This study aimed to determine the water needs of lettuce on Inceptisol and Vertisol based on the Internet of Things (IoT). The location study was in the green house, Huluduotamo Village, Bone Bolango Regency, from September to October 2021, while the Vertisol and Inceptisol samples were from Sidomukti Village, Gorontalo Regency. This study used the Penman method with the Cropwat 8.0 application which was integrated with a smartphone through the Blynk (IoT) application. The water requirement yield of lettuce plants in September on Vertisol and Inceptisol in the early phase was 2.45 mm/day, the middle phase was 3.73 mm/day, and the final phase was 3.54 mm/day. Soil moisture detection device at field capacity moisture content produces 319 Analog Digital Converter (ADC) and soil in moist conditions reaches 534 ADC. The analog data value of the water content of the Inceptisol field capacity is 343 ADC and the soil in a moist state is 574 ADC. The performance of the device for detecting soil moisture in the water condition of the 15% field capacity of Vertisol and 22% Inceptisol is more effective than the gravimetric method.

PENGARUH VERMIKOMPOS TERHADAP KANDUNGAN KADMIUM DAN FASE VEGETATIF TANAMAN PADI GOGO DI INCEPTISOL

2023-04-01T09:11:22+00:00

Heavy metal pollution is an important issue that must receive serious attention from various authorities, including the community. Cadmium (Cd) contamination will harm environmental and human health. Upland rice plants are the main food-producing plants susceptible to Cd contamination. This study aimed to determine the effect of vermicompost on cadmium content and the vegetative phase of upland rice plants in Inceptisol. This study used a Completely Randomized Design (CRD) with one factor, namely several dose levels of vermicompost, namely 0, 5, 10, 15, 20, and 25 t ha^-1. The results of this study indicated that the use of vermicompost significantly affected the number of leaves and tillers of upland rice. A Vermicompost dose of 15 t ha^-1 is considered optimum in increasing the number of leaves and tillers of upland rice. The use of vermicompost increased the vegetative growth of upland rice, so it increased the productivity of upland rice plants.