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Sistem Pendukung Keputusan Berbasis Pocket Pc Sebagai Penentu Status Gizi Menggunakan Metode Knn (K-Nearest Neighbor)

2. On-line Journal of Universitas Islam Indonesia

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Title Sistem Pendukung Keputusan Berbasis Pocket Pc Sebagai Penentu Status Gizi Menggunakan Metode Knn (K-Nearest Neighbor)
 
Creator Tedy Rismawan
Ardhitya Wiedha Irawan
Wahyu Prabowo
Sri Kusumadewi
 
Description The nutrition problem is very important problem that need more attention. If someone doesn’t know about his nutrition status, he can’t control how much nutrition value should be needed by his body. In this research, it has been built a Decision Support System (DSS) to compute nutrition status. The system needs physical condition from user via user interface. Pocket PC platform used to develop this DSS. The computation of nutrition status based on K-Nearest Neighbor (K-NN). The K-NN method will look for the shortest distance between evaluated data and K nearest data in the data training set The result of this research shows that this system can help user to get information about his nutrition status, so he can keep his nutrition normal status to avoid he diseases attack. Keywords: Decision Support System, nutrition status, KNN(K-Nearest Neighbor), Pocket PC
 
Publisher Jurnal Teknoin
 
Contributor
 
Date 2009-08-03
 
Type Peer-reviewed Article
 
Format application/pdf
 
Identifier http://journal.uii.ac.id/index.php/jurnal-teknoin/article/view/793
 
Source Jurnal Teknoin; Vol 13, No 2 (2008)
 
Language en