The Experts below are selected from a list of 117 Experts worldwide ranked by ideXlab platform
Anisa Dzulkarnain - One of the best experts on this subject based on the ideXlab platform.
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analysis of flood identification and mitigation for disaster preparedness a System Thinking Approach
Procedia Computer Science, 2019Co-Authors: Anisa Dzulkarnain, Erma Suryani, Mala Rosa AprillyaAbstract:Abstract Floods are a major threat to agricultural production. Reducing the impact on agricultural production is a challenging task in mitigating flood. By understanding the causes of the flooding, we can use the information to make a comprehensive flood mitigation model. The Approach of System dynamics can be used to look at the factors that influence the handling and prevention of flooding in the agricultural sector. This study aims to illustrate flood mitigation in agriculture using a System dynamics Approach. We are using the information collected from interviews with key officials from the government office. We also use the information from existing research reports or another publication related to floods and disaster management. Both information source is used as a base in developing flood mitigation model. District governments can use flood mitigation models to reduce the risk of flooding on agriculture.
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the analysis of quality of paddy harvest yield to support food security a System Thinking Approach case study east java
Procedia Computer Science, 2019Co-Authors: Mala Rosa Aprillya, Erma Suryani, Anisa DzulkarnainAbstract:Abstract Rice (Oryza Sativa) is a staple food for the people in Indonesia. East Java Province is a province with potential agricultural in Indonesia. East Java has advantages in agriculture and has a role in the national food sector. Population in Indonesia is projected to reach 271.1 million by 2020. East Java’s population growth rate from 2010 to 2017 was 0.64% with consumption of 213,783 tons of rice in 2018. Raw materials such as paddy, are perishable materials that require fast and precise handling. When handling is not right it will cause a loss of the results of high quality and quantity, this can be harmful to farmers because it will affect their income. This study uses a System dynamic to build the conceptual model (Causal Loop Diagram) to improving the quality of paddy yields to support food security. The results of study are a model that has some useful information regarding factors that affect the quality paddy. This can be used as decision support by the government for decision making about policies that will be applied to improve the quality of paddy harvest yields for support food security. Further research can be carried out by simulating several scenarios to predict the state of the rice farming System in the future.
Erma Suryani - One of the best experts on this subject based on the ideXlab platform.
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analysis of flood identification and mitigation for disaster preparedness a System Thinking Approach
Procedia Computer Science, 2019Co-Authors: Anisa Dzulkarnain, Erma Suryani, Mala Rosa AprillyaAbstract:Abstract Floods are a major threat to agricultural production. Reducing the impact on agricultural production is a challenging task in mitigating flood. By understanding the causes of the flooding, we can use the information to make a comprehensive flood mitigation model. The Approach of System dynamics can be used to look at the factors that influence the handling and prevention of flooding in the agricultural sector. This study aims to illustrate flood mitigation in agriculture using a System dynamics Approach. We are using the information collected from interviews with key officials from the government office. We also use the information from existing research reports or another publication related to floods and disaster management. Both information source is used as a base in developing flood mitigation model. District governments can use flood mitigation models to reduce the risk of flooding on agriculture.
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the analysis of greenhouse gas emissions mitigation a System Thinking Approach case study east java
Procedia Computer Science, 2019Co-Authors: Andriyan Rizki Jatmiko, Erma Suryani, Dhyna OctabriyantiningtyasAbstract:Abstract The area of Indonesian rice fields in 2016 reached 8.19 million hectares (ha), an increase of 1.16% from the previous year, this number comprising 4.78 million ha of irrigated rice fields and 3.4 million ha of non-irrigated rice fields. In 2017, especially in East Java, the harvest area is 2,278,460 hectares, and rice production is 13,633,701 tons. On the other hand, increasing agricultural activities can also contribute to emissions that can trigger climate change through the greenhouse gases (GHG) produced. GHG is a gas contained in the atmosphere, which absorbs and re-emits infrared radiation. Side effects of greenhouse gas accumulation can cause extreme climate change that affects land productivity. This study aims to analyze rice field productivity and build a greenhouse gas emission model that produce from the rice field productivity System. Emissions to be discussed in this study are CO2, CH4, and N2O. The Approach is carried out with a System dynamics because it has the characteristics of a complex, non-linear System dynamics, changes in System behavior over time and feedback that describes new information about the state of the rice productivity System, which will then produce further decisions. The results of this study are causal loop diagram of CH4, CO2 and N2O emissions resulting from the productivity of rice fields modeled using System dynamics. This model contains GHG information generated from the agricultural sector and its impact. This model can be used as a consideration for the government and stakeholders as a reference for making policies for GHG emission mitigation technology as part of smart agriculture.
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the analysis of quality of paddy harvest yield to support food security a System Thinking Approach case study east java
Procedia Computer Science, 2019Co-Authors: Mala Rosa Aprillya, Erma Suryani, Anisa DzulkarnainAbstract:Abstract Rice (Oryza Sativa) is a staple food for the people in Indonesia. East Java Province is a province with potential agricultural in Indonesia. East Java has advantages in agriculture and has a role in the national food sector. Population in Indonesia is projected to reach 271.1 million by 2020. East Java’s population growth rate from 2010 to 2017 was 0.64% with consumption of 213,783 tons of rice in 2018. Raw materials such as paddy, are perishable materials that require fast and precise handling. When handling is not right it will cause a loss of the results of high quality and quantity, this can be harmful to farmers because it will affect their income. This study uses a System dynamic to build the conceptual model (Causal Loop Diagram) to improving the quality of paddy yields to support food security. The results of study are a model that has some useful information regarding factors that affect the quality paddy. This can be used as decision support by the government for decision making about policies that will be applied to improve the quality of paddy harvest yields for support food security. Further research can be carried out by simulating several scenarios to predict the state of the rice farming System in the future.
Mala Rosa Aprillya - One of the best experts on this subject based on the ideXlab platform.
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analysis of flood identification and mitigation for disaster preparedness a System Thinking Approach
Procedia Computer Science, 2019Co-Authors: Anisa Dzulkarnain, Erma Suryani, Mala Rosa AprillyaAbstract:Abstract Floods are a major threat to agricultural production. Reducing the impact on agricultural production is a challenging task in mitigating flood. By understanding the causes of the flooding, we can use the information to make a comprehensive flood mitigation model. The Approach of System dynamics can be used to look at the factors that influence the handling and prevention of flooding in the agricultural sector. This study aims to illustrate flood mitigation in agriculture using a System dynamics Approach. We are using the information collected from interviews with key officials from the government office. We also use the information from existing research reports or another publication related to floods and disaster management. Both information source is used as a base in developing flood mitigation model. District governments can use flood mitigation models to reduce the risk of flooding on agriculture.
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the analysis of quality of paddy harvest yield to support food security a System Thinking Approach case study east java
Procedia Computer Science, 2019Co-Authors: Mala Rosa Aprillya, Erma Suryani, Anisa DzulkarnainAbstract:Abstract Rice (Oryza Sativa) is a staple food for the people in Indonesia. East Java Province is a province with potential agricultural in Indonesia. East Java has advantages in agriculture and has a role in the national food sector. Population in Indonesia is projected to reach 271.1 million by 2020. East Java’s population growth rate from 2010 to 2017 was 0.64% with consumption of 213,783 tons of rice in 2018. Raw materials such as paddy, are perishable materials that require fast and precise handling. When handling is not right it will cause a loss of the results of high quality and quantity, this can be harmful to farmers because it will affect their income. This study uses a System dynamic to build the conceptual model (Causal Loop Diagram) to improving the quality of paddy yields to support food security. The results of study are a model that has some useful information regarding factors that affect the quality paddy. This can be used as decision support by the government for decision making about policies that will be applied to improve the quality of paddy harvest yields for support food security. Further research can be carried out by simulating several scenarios to predict the state of the rice farming System in the future.
Dhyna Octabriyantiningtyas - One of the best experts on this subject based on the ideXlab platform.
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the analysis of greenhouse gas emissions mitigation a System Thinking Approach case study east java
Procedia Computer Science, 2019Co-Authors: Andriyan Rizki Jatmiko, Erma Suryani, Dhyna OctabriyantiningtyasAbstract:Abstract The area of Indonesian rice fields in 2016 reached 8.19 million hectares (ha), an increase of 1.16% from the previous year, this number comprising 4.78 million ha of irrigated rice fields and 3.4 million ha of non-irrigated rice fields. In 2017, especially in East Java, the harvest area is 2,278,460 hectares, and rice production is 13,633,701 tons. On the other hand, increasing agricultural activities can also contribute to emissions that can trigger climate change through the greenhouse gases (GHG) produced. GHG is a gas contained in the atmosphere, which absorbs and re-emits infrared radiation. Side effects of greenhouse gas accumulation can cause extreme climate change that affects land productivity. This study aims to analyze rice field productivity and build a greenhouse gas emission model that produce from the rice field productivity System. Emissions to be discussed in this study are CO2, CH4, and N2O. The Approach is carried out with a System dynamics because it has the characteristics of a complex, non-linear System dynamics, changes in System behavior over time and feedback that describes new information about the state of the rice productivity System, which will then produce further decisions. The results of this study are causal loop diagram of CH4, CO2 and N2O emissions resulting from the productivity of rice fields modeled using System dynamics. This model contains GHG information generated from the agricultural sector and its impact. This model can be used as a consideration for the government and stakeholders as a reference for making policies for GHG emission mitigation technology as part of smart agriculture.
Juan Esteban Martinez Jaramillo - One of the best experts on this subject based on the ideXlab platform.
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efectos de los biocombustibles en la seguridad alimentaria en colombia una aproximacion sistemica impacts of biofuels on food security in colombia a System Thinking Approach
Revista Facultad Nacional de Agronomía, 2014Co-Authors: Diana Patricia Giraldo Ramirez, Santiago Arango Aramburo, Juan Esteban Martinez JaramilloAbstract:Biofuels are turning an increasingly important alternative for countries, both for agricultural policies and diversification of its energy portfolio. Due to its nature and interrelationship with critical factors such as land and water, there is a need to study and understand how public policies and development of biomass markets can affect Food Security. This paper takes a Systemic view on the relationships between biofuels and Food Security. The selected case study is Colombia, because of its current incentives for biodiesel and bioethanol, regulation on prices and subsidies to producers. The study was done through causal models that propose the relationships of interdependence between the main variables of these Systems. The analysis shows how the incentives to biofuel production can generate a decrease in food production, threatening Food Security. The analysis leads to the need to build simulation models to quantify and evaluate the effects of current policies over time.
