Bayesian Conditional Autoregressive (CAR) is used in disease mapping because it is able to model relative risks by taking into account the smoothing of the estimated relative risk and entering spatial information to reduce the errors of the estimated relative risk parameters so that a more reliable relative risk model is obtained. In this study, the relative risk value of the spread of dengue fever will be calculated using Bayesian CAR with the localised model. These results were obtained using the OpenBUGS program and are illustrated in the 2016 dengue fever case data. Based on the model, mapping of dengue fever in Makassar can be identified in each district and shows that Makassar City is still very vulnerable to dengue fever.
Cocoa is one of the plantation’s leading commodities which has a considerable contribution to the Indonesian economy, including sources of farmers’ income, producers of industrial raw materials, and creators of employment. The free and competitive facing of free trade, requires that plantation products have competitiveness in order to be able to survive and attract the public compared to similar imported commodity products. This study aims to analyze the competitiveness of cocoa commodities in South Sulawesi and analyze the impact of government policies on the competitiveness of cocoa commodities in South Sulawesi. The analysis method uses the Policy Analysis Matrix (PAM). Through this matrix, the criteria for Private Cost Ratio (PCR) and the Domestic Resource Cost Ratio (DRCR) that can be competitive and comparative advantages can be calculated. The results of this study indicate that cocoa commodities have competitiveness seen from comparative and competitive advantages as indicated by the value of DRCR<1 and DRCR<1. The value of cocoa commodities of DRCR and RBP is 0.20 and 0.22. The smaller the value of DRCR and RBP is obtained, the higher the level of comparative and competitive advantages possessed. Government policies on input-output that have been in effect so far have not been effectively protected by cocoa farmers, which means the government has not had a positive impact on cocoa commodities in South Sulawesi. This can be seen from the private price which is lower than the social price.
Analysis of the relative risk of the spread of dengue fever (DF) in Makassar city, Indonesia, needs to be done to see the which areas are at high risk of DF. Bayesian Autoregressive Conditional (CAR) is used in the mapping model of this disease. This model is Able to model of relative risk by taking into account the smoothing of that relative risk and entering spatial information to reduce the error of the estimated parameters in order the reliable relative risk models is Obtained. In this study, the relative risk value of the spread of DF was Analyzed using the localized Bayesian models CAR. Under this model the geographical mapping of DF in Makassar can be identified for each sub-district and shows that Makassar is still very vulnerable to DF.
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.
In Indonesia, West Sulawesi is one of the potential areas for the development of pearl millet, and it is potential local food which strengthens food security as a source of carbohydrates, anti-oxidant, and fiber. This research aims to analyze IFE and EFE, then SWOT analysis, in order to figure out the strategies to develop pearl millet (Pennisetum glaucum) farming. This research was conducted in West Sulawesi, Indonesia. This research results ten strategies are 1) plotting pearl millet as a potential superior local food of West Sulawesi with high fiber content and anti-oxidants, 2) building adequate infrastructure to facilitate the distribution of pearl millet marketing to potential markets, 3) maximizing the potential of land and the use of farming equipment to maximize production, 4) Ease of access to capital by activating microfinance institutions in rural areas, 5) Increasing the capacity of farmer human resources by strengthening institutions, counseling and training based on local resources, 6) Procurement of farming equipment to assist farmers in increasing production and productivity, 7) Introducing pearl millet to the market and consumers as a local Mandar food in order to substitute rice and other foods, 8) support of government in training of processing and diversifying pearl millet into industrial products, 9) the use of environmentally friendly agricultural technology and inputs in an effort to produce quality products, 10) Maintaining the pearl millet to continue to exist by continuing to support farmers with a variety of policies.
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