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POTENTIAL MAPPING AGRICULTURAL COMMODITIES TO MITIGATION OF FOOD PROBLEM IN THE FUTURE

POTENTIAL MAPPING AGRICULTURAL COMMODITIES TO MITIGATION OF FOOD PROBLEM IN THE FUTURE

Kumalawati, Rosalina; Salamiah, Salamiah; Yuliarti, Astinana; Murliawan, Karnanto Hendra
URI: https://repo-dosen.ulm.ac.id//handle/123456789/18744
Date: 2020-12-31

Abstract:

Catastrophic climate changes that have a negative impact in various fields including agriculture. The research objective is "Potential Mapping Agricultural Commodities to Mitigation of Food Problem in the Future". The research method is quantitative and qualitative. Methods of data collection using field research and literature. The population and the sample is a land unit and village units. Land units determine the suitability of land. The village unit collects socio economic data. The analysis technique used Location Question, Shift Share, Focus Group Discussion and spatial analysis. Spatial analysis using Arc GIS. The findings can be used to mitigate future food problems and analyze policies. The results showed rice plants has S1 class (Very Suitable). Corn, chili, orange and banana land suitability S2 (Suitable), onion is S3 (Marginal Suitable). Priority 1 rice commodity in Ayuang Village. Priority 2 Corn in Banua Binjai. Priority 3 that Chilli in the village of Awang Besar. Results LQ corn and chili have bases sector, other sectors have the non-base. Shift-share value is negative (-) except Chili. FGD results show developed commodity rice, corn, and chili. The development of leading sectors followed by marketing and processing can increase revenue. Limitations of the research do not examine pests that have the potential to cause crop failure.

Description:

Climate change is a strategic issue and a serious problem in the world, including in Indonesia. Climate change can cause disasters that have a negative impact on food production (Tao and Zhang, 2010; Apriyana, 2011; Las et al., 2011; Mustangin, 2017). The negative impact of long-term climate change to humans and the environment can cause disasters such as extreme droughts, declining yields and food crisis (D’Arrigo et al., 2006; Behera et al., 2008; Hansen et al., 2011; Cullis et al., 2019; Naim and Hindmarsh, 2019). Fluctuations in the availability of food is influenced climate variations and weather (Apriyana, 2011). Extreme weather represents one evidence of dangerous climate change and is a signal of future climate change (Haden et al., 2012; Renn, 2011; Spence et al., 2011; Linden, 2014a; Mcdonald et al., 2015; Demski et al., 2017). Extreme weather can affect the production and productivity of agriculture. The decline in production and productivity can be minimized by planting a variety of plant species. Knowing the potential of a region can cope with crop failures in the region with good harvests in other regions with different commodities. Mapping the potential in agriculture, especially food crops and the determination of the growing season is an important strategy to do (Naylor et al., 2007; Yayan et al., 2017). The impact of changes in rainfall patterns and seasonal changes cause changes in planting dates (Apriyana and Siburian, 2014). The changes have affected the productivity and food security in each region. Seeing this, it is necessary to map the potential and mitigation of climate change, especially in agriculture. Mapping potential to knowing areas of potential and prospective development, so the government more easily take a strategic development policy. Potential identification can be used to anticipate the product over a particular commodity. Identification of Potential in this case is the identification Potential Land Suitability. Identification of Potential Land Suitability to determine the most suitable land for to be developed in agriculture (Kumalawati et al., 2017). Land Suitability Assessment can be carried out with the parameter of multiplication, addition, or using minimum laws. The minimum law is the match between land quality and land characteristics as parameters with land suitability class criteria based on the growing requirements of the evaluated crop or commodity, such as in agriculture (Zulkarnain and Hartanto, 2020). Many regions have the potential in agriculture but the land suitability of spatial data is not yet available. Land suitability spatial data is necessary because it can be used to select alternative land management so as to create a stable food security and sustainable. Problems with data availability are also experienced in Hulu Sungai Tengah Regency, resulting in inaccurate planning, utilization and development. Overcoming the problem of the availability of spatial data in agriculture can use Geographic Information Systems. Geographic Information System is a combination of database management in collecting and storing geospatial data function describes the relationship of data in the form of maps (Nyerges, 2009). Geographic Information System provides identification information Potential Land Suitability agriculture. Results Identification used as database in the Agricultural Sector Policy Analysis leading commodities include rice, corn, chili, red onions, bananas and oranges. Local development of superior commodities one attempt to compete in trade and improving the local economy (Rosalina et al., 2017; Wahyuningsih et al., 2014). Agriculture development of is needed to improve the quality of agricultural production, income and standard of living people in an area (Luvianita et al., 2017; Mensah and Ekwamu, 2020). The agriculture sector has a significant role in the survival of humanity. The problem of food due to climate change is a global problem, including in the area of research. Predictions of future climate change will occur as a result of the food crisis. The food crisis is an important issue so it is necessary to mitigate and map the suitability of land potential in agriculture. The aim of this research "Potential Mapping Agricultural Commodities to Mitigation of Food Problem in the Future"

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