Nisa Miftachurohmah, . and Imam Mukhlash, . and Sutikno, . (2015) SOFTWARE DESIGN TO RISK ANALYSIS OF PADDY PRODUCTION WITH ENSO INDICATORS (CASE-STUDY: EAST JAVA). Proceeding of International Conference On Research, Implementation And Education Of Mathematics And Sciences 2015 (ICRIEMS 2015), Yogyakarta State University, 17-19 May 2015. ISSN 978-979-96880-8-8
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Abstract
Indonesia known as agrarian country, it caused by most its people are farmers. The level of paddy production in East Java was highest compared to other provinces. However, its level of production has decreased in recent years. This was caused by the lack of knowledge about risk management in paddy production. One of knowledge should be known is the change of seasons. In fact, the change of seasons was difficult to predicted due to global climate disruption. In previous study, ENSO was used to climate forecasts for decision-making in agriculture. A risk assessment framework could be used in policy decision-making processes. In this paper, we discuss about architecture design for decision support system (DSS) to risk of paddy production in East Java with ENSO indicators. ENSO indicators are SST (Sea Surface Temperature) anomalies, as predictor variables. Harvested area in East Java as respons variable. Predictor and respons variables is identified their correlation using Copula correlation. Estimation of harvested area is constructed using Robust regression model. The prediction level of risk of paddy production is determined using confidence interval (CI). The last, we construct DSS components, database systems, and user interface design. Key words: Decision Support Systems (DSS), agriculture, ENSO, copula correlation, robust regression
| Item Type: | Article |
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| Subjects: | Prosiding > ICRIEMS 2015 > Mathematics & Mathematics Education |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Pendidikan Matematika > Pendidikan Matematika |
| Depositing User: | Administrator |
| Date Deposited: | 10 Jul 2015 03:21 |
| Last Modified: | 10 Jul 2015 03:21 |
| URI: | http://eprints.uny.ac.id/id/eprint/23266 |
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