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Detail Article

Jurnal Biometrika dan Kependudukan

ISSN 2302707X

Vol. 2 / No. 2 / Published : 2013-12

TOC : 4, and page :123 - 130

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Original Article :

Neural network control chart sebagai salah satu alternatif untuk diterapkan pada data non-normal

Author :

  1. Diah Indriani*1
  1. Dosen Fakultas Kesehatan Masyarakat

Abstract :

  Control chart is a tool for stability process measure. Efficient and reliable control chart is control chart which can detect mean and variants shift simultaneous. Process shift will be happened if the process out of control. Commonly control chart is Shewhart Control Chart which can use with normal distribution assumption in data. Neural network approximation is alternative for control chart methods. The superiority of Control Chart Neural Network can apply in normal or non-normal distribution data. This research was studied about neural network approximation in control chart for process shift detection. ARL (Average Run Length) value is tool for identified efectiveness of control chart. This research was generated exponential distribution with 9 shif process. The ARL value can detect the shift under 6 point value. This indicate that Neural Network Control effective for detecting shift ini non-normal data distribution.  

Keyword :

neural network control chart, average run length, non-normal, average run length, non-normal,


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