Maximizing opportunities towards brown rice farming production
| Autor: | Sukmawati, R Khaerati, Muhammad Arsyad, A Sulili, A. Amiruddin, R M Rukka, Rahmadanih, Saadah |
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| Rok vydání: | 2020 |
| Předmět: | |
| Zdroj: | IOP Conference Series: Earth and Environmental Science. 486:012042 |
| ISSN: | 1755-1315 1755-1307 |
| DOI: | 10.1088/1755-1315/486/1/012042 |
| Popis: | One of the efforts made by the government in meeting the community’s food needs is through the use of dry land as an agricultural area. Dryland is one of the resources that have great potential for agricultural development, especially fields that produce rice. This research was conducted in Paminggalang Village, Sendana Subdistrict, with the consideration of this area utilizing dry land as farmland for paddy fields. Information collected is in the form of internal factors consisting of the position of resources and farm performance. Then external factors include the social environment, economic environment, ecological environment, technological environment, and government policy. The analysis was carried out using the SWOT approach, which uses IFE calculations, EFE, IE matrix, SPACE matrix, and SWOT matrix. There are nine attributes of strength, five attributes of weakness, five attributes of opportunity, and three attributes of threat. IFE and EFE calculations showed that internal factors are the most dominant factor, with the strongest factor being the most dominant compared to weakness. The position of Oryza nivara paddy farming in Paminggalang Village in the IE matrix and the SPACE matrix are respectively in a place to guard and maintain and support aggressive strategies. The results showed that there are three strategies to capture available opportunities (S-O) that need to be maximized. Such as developing brown rice field rice products by optimizing available resources, maximizing the use of the land area as well as the number of inputs available to obtain good quality brown rice with higher selling prices and developing markets and market share. |
| Databáze: | OpenAIRE |
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