OPEN ACCESS International Journal of Applied Biology International Journal of Applied Biology is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. ISSN : 2580-2410 eISSN : 2580-2119 Reevaluation of Land Fitness For Soybean Plant in Kabamatan Stabat, Langkat District Leni Handayani1, A Rauf2, Rahmawaty3, T Supriana4 1Department of of Agricultural Science, Universitas Sumatera Utara, Indonesia. 2Department of Agriculture Agroecotechnology, Universitas Sumatera Utara, Indonesia. 3Department of Agriculture forestry, Universitas Sumatera Utara, Indonesia. 4Department Agriculture Agribusiness, Universitas Sumatera Utara, Indonesia. Article History Received 23 January 2020 Accepted 03 March 2020 Keywords Farming, Soybean, Agricultural, Land Suitability. Introduction In increasing crop productivity, the government is more focused on doing business related to increasing non-physical production such as expansion of crop areas, providing superior seeds and counseling on eradicating pests. Though plant production is not only influenced by non-physical conditions but also must pay attention to other physical conditions. As food, soybean ranks number 3 after rice and corn as the main commodity of food crops in the food and feed industry in Indonesia (Isnowati, 2014). In Indonesia, the total area of soybean plantations has decreased by 41.6% over the last 20 years, namely from 1995 with a planting area of 1,476,284 ha until 2015, which only reached 614,095 ha of planted area (BPS, 2016). Of the 2015 land area, only 963,183 tons of soybeans were produced CONTACT : LENI HANDAYANI leni.handayani99@yahoo.com 15 Abstract A decrease in the area of soybean farming has an effect on reducing soybean production from year to year so that it has not been able to meet the needs of national soybean consumption. Land suitability assessment is an effort to be able to optimize land use. In the process of assessing land suitability manually, it is considered inaccurate. The purpose of this study was to determine the land suitability class for soybean plants. The land suitability classification system used is the FAO land suitability classification classified at the sub-class level. Land suitability evaluation uses a matching system, as well as comparing the characteristics of land with plant growing community formulated in the technical evaluation of land guidelines for agricultural commodities. In the matching process Leibig's minimum law is used to determine the limiting factors that will affect the suitability of the class and sub-class of the land. Requirements for growing plants become criteria in conformity evaluation. The results showed that the limiting factors of land suitability for soybean plants that had to be adjusted were temperature, rainfall, soil texture, C-Organic, N-Total and P- Available soil. The limiting factor of temperature and soil texture cannot be improved so that the marginal fit class (S3) on actual land suitability remains marginal fit (S3) in terms of potential land suitability. mailto:leni.handayani99@yahoo.com International Journal of Applied Biology, 4(1), 2020 16 The amount of soybean production in 2015 has not been able to meet the needs of national soybean consumption which reached 2.87 million tons / year which will be predicted to continue to increase from year to year due to population growth (Global Agricultural Information Network, 2016). The still minimal use of land due to the decrease in soybean land area from year to year has an effect on the production of soybean produced. According to the research of Pilvere, et al.,(2014) states that inappropriate land use will have implications for low production which will have an impact on inefficient use of land resources. One effort to increase soybean agricultural production output is to allocate planting in suitable land (Widiatmaka, et al.,2016). Land use planning in the form of land suitability assessment is important to allocate soybean planting on suitable land to optimize land use (Dengiz, et al.,2013) and can also be used as a solution to increase production (Zhang, et al.,2015) soybeans to be sufficient national consumption needs. Land suitability assessments are important as a prerequisite for sustainable agriculture and play a role in planning for increasing agricultural productivity (Baniya, 2008; Neupane, et al.,2014). Besides aiming to increase agricultural productivity, assessing land suitability also takes into account the element of protection (FAO, 1993; Wali, et al.,2016). The intended protection is to protect existing natural resources from the dangers of damage such as avoiding land degradation or erosion due to the continuous land management process (FAO, 1976; Elaalem, et al.,2011). Lack of understanding of land suitability will have an impact on environmental disturbances that have consequences on long-term problems that are difficult to change (Rodrigo, et al.,2004). Materials and Methods Materials and tools used during research are materials and tools commonly used for soil surveys and laboratory activities. The material used in the form of topographic maps, land maps, land use maps, administrative maps of Stabat District and other maps related to research. equipment used both in the field or in the Laboratory, namely soil drill to take soil samples and determine the effective depth of field in the field, abney level to determine the slope. GPS (Global Positinoning System) to determine the position of the study area and measure the altitude and a set of tools used for soil analysis in laboratories. The study used a randomized block design (RBD) with 8 factorial x and 4 factorial y. where the soil sample conditions will be seen namely temperature, water, oxygen content, root media, nutrient retention, nutrient availability, erosion, flooding, and land preparation. on land suitability of the 8 factorial X will be given an assessment S1 = very suitable S2 = quite suitable S3 = appropriate and at the management level X2 namely: moderate, low, fertilizer and value acquisition. In Factorial y there are 4 divisions namely: 1. actual land suitability 2. the heaviest limiting factor 3. Repair and Business 4. Potential land with the following formula: Yij = µ + Ti + Bj + ε ij; i = 1, 2, 3 ... t j = 1, 2, 3 ... r International Journal of Applied Biology, 4(1), 2020 17 Yij = response or observation value from treatment i and repeat test j µ = general midpoint Ti = the effect of the i-th treatment Bj = jth block's influence ε ij = the effect of experimental error from the i-th and j-replication treatments Results and discussion Table 1. Soybean (Glycine max) land suitability assessment in Langkat Regency Temperature Regime (tc) Average Temperature (oC) 25.8 S2 tc S2 S2 Water Availability (wa) Rainfall during Growth (mm) Average humidity(%) Oxygen Avaliability (oa) 1805 81 S2 Wa S2 S2 D S S2 S1 Drainage Good Rooting media (rc) S1 S3 Rc S3 Soil Texture Coarse material(%) Land Depth(cm) Rather rough S3 29 S2 110 S1 Nutrition Retention (nr) S3 Nr S1 CEC Soil (me/100g) 22.28 (S) Base Saturation (%) 32.84 S1 S1 pH H2O 6.25 S1 C-organic (%) 0.61 S3 O S Avaliability of Hara (na) S2 Na S1 N-total (%) 0.10 (R) S2 P S P2O5 Bray II (ppm P) 9.47 (S) S2 P S K-exchange (me/ 100 g) 0.625 (T) S1 Danger of Erotion(eh) S1 Slope (%) < 2 S1 Danger of erotion SR S1 Flood Hazard (fh) S1 Flood Period F0 S1 Land Preparation (lp) S1 Surface Rock(%) 0 S1 Rock outcrops 0 S1 Land Suitability Value S3 rc, nr S3 rc Keterangan : S1 = Very Appropriate TP = Management Level O = Organic material S2 = Sufficiently appropriate S = Medium R =Low T = High S3 = Marginal accordance P = Inp Fertilization Inp = input D = Drainage Conformity of Potential Land TP Inp Repair bussiness Heaviest Limiting factor Value Actual Land Suitability Land Characteristic International Journal of Applied Biology, 4(1), 2020 18 D Factor C Factor Hara Danger of Flood Hazard Land Availability Erotion Preparation Nutrition Retention B Factor Water Oxygen Rooting Availability Availability Media A Factor 120 100 80 60 40 20 0 Land Characteristic Figure 1. Land Characteristic of Langkat Regency The limiting factors of land suitability for soybean plants that must be improved are temperature, rainfall, soil texture, C-Organic, N-Total and P-Available soil. The limiting factor of temperature and soil texture cannot be improved so that the marginal fit class (S3) on actual land suitability remains marginal fit (S3) in terms of potential land suitability. This is in accordance with the statement of Mubekti (2012) which states the land limiting factors consist of two types, namely (1) permanent limiting factors in the sense that it is very difficult to repair if it will be opened for agricultural business, such limiting factors, such as temperature, soil texture , altitude, and (2) limiting factors that can be corrected, for example soil fertility, Al toxicity elements, soil acidity. The limiting factor of high annual rainfall (1805 mm) can be done with the management of water systems with moderate to high level of management, namely by making drainage channels so that the class is quite suitable (S2) on the suitability of actual land to be very suitable (S1) in terms of potential land suitability. The limiting factor of N-total soil can be improved with a moderate level of management, namely by fertilizing according to plant needs. Estimated total N requirement of soybean plants for very suitable criteria requires 0.51% while the total N availability found in the soil at the time of the study was 0.10% so that an additional 0.40% is needed which is equivalent to 80 kg N / ha or 173.91 kg Urea / ha. The total fertilizer needed for soybean plants in the area requires an average increase of 25% to meet the needs of microbes and nutrient loss N so as to need the addition of fertilizer as much as 100 kg N / ha or 217.39 kg Urea / ha. That way the suitability for total N becomes very suitable (S1) from the quite appropriate class (S2). The P2O5 limiting factor of the soil can be improved with a low level of management that is by fertilizing according to plant requirements. The need for P2O5 soybean plants according to the criteria is very suitable, it requires 16 ppm while the availability of P2O5 contained in the soil at the time of the research is 9.47 ppm so that an additional 6.53 ppm is International Journal of Applied Biology, 4(1), 2020 19 needed which is equivalent to 130.6 kg P2O5 / ha equivalent to 362.77 kg SP36 / Ha. The total fertilizer needed for soybeans in the area required an additional 25% on average to meet microbial needs and phosphate loss so as to need the addition of fertilizer as much as 163.25 kg P2O5 / ha or 453.46 kg SP36 / ha. That way the suitability for pospat becomes very suitable (S1) of the class quite appropriate (S2). The limiting factor of C-organic can be improved with a moderate level of management, namely by the addition of organic matter. Estimation of soybean C-organic requirement for very suitable criteria requires 3% while the availability of C-organic in the soil during research is 0.61% so an additional 2.39% is needed which is equivalent to 47.8 tons C / ha or 82.4 tons of material organic / ha. However, the provision of organic material can be adjusted to the ability of farmers and the availability of organic material in the area. According to Akil et al (2015) the application of manure, or ashes of rice straw as a cover in the planting hole of 1-3 t / ha is considered optimal. That way the land suitability class criteria for C-organic become very appropriate (S1) from the marginal appropriate class (S3). Conclusion The results of this study indicate that the adjustment of land suitability classes in the study area for soybean plants is included in the marginal suit class (S3), so that from the planting of soybean commodities it produces less than maximum production with rainfall limiting factors, nutrient retention. To improve the limiting factor for nutrient retention by adding organic material, the limiting factor for rainfall is quite high by making drainage channels. References Central Bureau of Statistics. 2016. Soybean Harvested Area by Province (ha), 1993-2015. Jakarta Baniya, Nabarath. 2008. LAND SUITABILITY EVALUATION USING GIS FO VEGETABLE CROPS IN KATHMANDU VALLEY /NEPAL. Institute of Horticutural Scienc Faculty of Agriculture and Horticulture, Humboldt University zu Berlin, Berlin, Germany. Dengiz, Orhan, Mehmet Arif O¨zyazici, and Mustafa Sag˘lam. 2013. 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Computers and Electronics in Agriculture 114 Leni Handayani1, A Rauf2, Rahmawaty3, T Supriana4 Introduction Materials and Methods Results and discussion Table 1. Soybean (Glycine max) land suitability assessment in Langkat Regency Land Suitability Value S3 rc, nr S3 rc Conclusion