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MODEL SPASIAL BAHAYA LAHAN KRITIS DI KABUPATEN BOGOR, CIANJUR DAN SUKABUMI Kubangun, Siti Hadjar; Haridjaja, Oteng; Gandasasmita, Komarsa
MAJALAH ILMIAH GLOBE Vol 16, No 2 (2014)
Publisher : Badan Informasi Geospasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (907.909 KB) | DOI: 10.24895/MIG.2014.16-2.61

Abstract

ABSTRAKPemanfaatan lahan yang melampaui kemampuan lahannya dapat mengakibatkan kelestarian sumber daya lahan menjadi terancam. Keadaan inilah yang mengakibatkan lahan mengalami proses degradasi dengan cepat, yang jika dibiarkan maka lahan-lahan tersebut akan menjadi kritis. Pengumpulan data dan informasi dalam mengidentifikasi bahaya lahan kritis dapat dilakukan dengan pembaharuan model berdasarkan teknik penginderaan jauh dan sistem informasi geografis. Sebagai salah satu cara untuk mendukung penanganan lahan kritis, maka penelitian ini bertujuan untuk menyusun parameter spasial penentu kekritisan lahan dengan skala semi-detail, sebagai model untuk mengidentifikasi kekritisan lahan. Model spasial dibangun dengan menganalisis indeks penggunaan lahan terhadap kemampuan lahan, bahaya erosi dan kerapatan vegetasi. Hasil identifikasi menunjukkan bahwa terdapat 892,57 km2 (9%) lahan tidak kritis; 3.220,45 km2 (31%) lahan agak kritis; 4.307,77 km2 (41%) kritis sedang; 1.774,77 km2 (17%) lahan kritis I; dan 214,84 km2 (2%) lahan sangat kritis yang terdapat di lokasi penelitian. Lahan kritis kerap dihubungkan dengan intervensi pengguna atas lahan. Pemanfaatan lahan yang sesuai dengan kemampuan lahan dan dengan mengikuti kaidah konservasi tanah dan air, serta peran pemerintah dengan mengkonservasi daerah hulu diharapkan dapat meminimalisasi bahaya yang ditimbulkan oleh lahan kritis.Kata Kunci: model spasial, semi detail, bahaya lahan kritis, mitigasiABSTRACTLanduse that has outstripped its ability can result in threats to the sustainability of soil resources. This condition can lead to degraded rapidly, which if left unchecked will become critical. Designation of critical land hazard obtained from updating the model is based on remote sensing techniques and geographic information systems. As one way to underpin the management of critical areas, this research aimed to get a spatial parameter as a decisive causal factor of soil with a semi-detailed scale, as a good example to identify the criticality of land. The spatial model made by analyzing an index of land use on land capability, vegetation density, and erosion. The identification results showed that there were 892.57 km2 (9%) of land area is not critical; 3,220.45 km2 (31%) is rather critical; 4,307.77 km2 (41%) were critical; 1,774.77 km2 (17%) critical; and 214.84 km2 (2%) are very critical.Critical land, often associated with user intervention on the land.Land use that follows the land capability, and follow the rules of land conservation as well as the governments role in conservation of water catchment areas are expected to minimize the vulnerability of the critical land area.Keywords: spatial models, semi detail, critical land hazard, mitigation
Sustainable Dry Land Management Model on Corn Agribusiness System Pujiharti, Yulia; Haridjaja, Oteng; Eriyatno, .; Rusastra, I Wayan
JOURNAL OF TROPICAL SOILS Vol. 13 No. 1: January 2008
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2008.v13i1.67-76

Abstract

The study aimed at building model of dry land management.  Dynamic System Analysis was used to build model and Powersim 2.51 version for simulating.  The parameter used in model were fertilizer (urea, SP-36, ACL), productivity (corn, cassava, mungbean), soil nutrient (N, P, K), crop nutrient requirements (corn, cassava, mungbean, mucuna), price (corn, cassava, mungbeans corn flour, feed, urea, SP-36, KCl), food security credit, area planted of (maize, cassava, mungbean), area harvested of (maize, cassava, mungbean), (corn, cassava, mungbean) production, wages and farmer income.  Sustainable indicator for ecology aspect was soil fertility level, economic aspects were productivity and farmer income, and social aspects were job possibility and traditions.  The simulation result indicated that sustainable dry land management can improve soil fertility and increase farmer revenue, became sustainable farming system and farmer society. On the other hand, conventional dry land management decreased soil fertility and yield, caused farmer earnings to decrease and a farm activity could not be continued.  Fertilizer distribution did not fulfill farmer requirement, which caused fertilizer scarcity.  Food security credit increased fertilizer application.  Corn was processed to corn flour or feed to give value added. 
Sediment Enrichment Ratio and Nutrient Leached by Runoff and Soil Erosion on Cacao Plantation Haridjaja, Oteng
JOURNAL OF TROPICAL SOILS Vol. 17 No. 1: Januari 2012
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2012.v17i1.67-74

Abstract

Soil consevation management system is an activity for diminishing sediment enrichment ratio and nutrient leacheds by water run off and soil erosion processes. The research was aimed to study sediment enrichment ratio and nutrient leached by run off and soil erosion on cacao plantations. Arachis pintoi with strips parallel contour and multiple strip cropping of upland rice or soybean (Glycine max) were planted to improve soil physical characterictic on cacao plantation as a main plant. The expriment were conducted with treatments as 10-15% and 40-45% slopes, 5-7 months and 25-27 months cacao ages (as main plants). As sub plots are T1 as a monoculture which to be cleaning under the plant canopy, T2 as a multiple strip cropping of upland rice or soybean, T3 as a combination of T2 and A. Pintoi strip. The results showed that  total N, P2O5, and K2O and organic-C contents in water run off and soil sediments indicated that T3 >T2 >T1 treatment, with the contents of each nutrient: T3 (total N 0.18%; 24.87 mg 100 g-1 P2O5: K2O 15.16 mg 100 g-1), T1 (total N 0.16%, 22.39 mg 100g-1 P2O5, K2O 11.50 mg 100g-1).  The total N, P2O5, K2O and organic-C soil contents < accumulation nutrient contents of total water run off and soil sediment transport. All of treathments have sediment enrichment ratios > 1.