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Volume & Issue no: Volume 5, Issue 2, February 2016

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Title:
Simulator Model for Risk Prediction of Below the Red Line at Under Five In Lampung Province
Author Name:
Reihana , Rizanda Macmud, Yanwirasti, Artha Budi Susila Duarsa
Abstract:
ABSTRACT Background: Under fives with Below the Red Line (BRL) is the main entrace of nutritional status deterioration. There is no tool to predict the incidence of BRL and provide solutions immediately to improve the under five status with BRL. Objective: The objective in this study is to develop a model that can predict the risk of BRL incidence and provide solutions immediately to improve the under five status’ with BRL Methods: The method used in this study is a qualitative and quantitative methods by cross-sectional study design. The final goal is to develop a model that can predict the incidence of BRL. Population is all under five mother’ with 2,520 samples taken at Tanggamus, Tulang Bawang & Bandar Lampung. Multiple logistic regression methods used in the multivariate analysis and System Development Life Cycle methodology/SDLC: initiation systems, system requirement analysis, and system design are used to create “Permata Bunda” simulator. Results: The study found that 18.3% under five are BRL, and the results of the multivariate analysis show that there are 11 risk factors to predict the incidence of BGM where the most dominant variable is the energy intake. Based on the results of multivariate analysis, a simulator application model was develop by the name "Permata Bunda ". It can predict the incidence risk of 97% BRL and provide immediate solutions to improve the status of BRL. Conclusions: The simulator model “Permata Bunda" can be used by nutritionist in the health center to predict the incidence of BRL, and also provide a solution immediately so that the incidence of malnutrition among under five can be decreased.. Keywords: BRL, Under five, Simulator Model Permata Bunda
Cite this article:
Reihana , Rizanda Macmud, Yanwirasti, Artha Budi Susila Duarsa , " Simulator Model for Risk Prediction of Below the Red Line at Under Five In Lampung Province" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 5, Issue 2, February 2016 , pp. 001-004 , ISSN 2319 - 4847.
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