DESIGN INFORMATION SYSTEM OF EMPLOYEES TARGET WITH NEURAL NETWORK BACKPROPAGATION

Authors

  • Agus Sifaunajah
  • Kusworo Adi
  • Faikhin .

DOI:

https://doi.org/10.35457/jares.v2i1.413

Abstract

Assessment of the performance of civil servants (PNS) is still considered less objective and subjective tended to by some, so we need a solution to improve the objectivity of assessment. The target of employee work (SKP) is one solution to improve objectivity in the assessment of civil servants. Backpropagation is one of the methods in neural networks which is implemented in the information systems of SKP for used classification of data performance. Observation and literature became the method of data collection in this study. Web-based information systems of skp are facilitated for employees in the preparation of assessments. Backpropagation can be implemented to perform data classification of performance.

Keyword: Neural network; Backpropagation, Classification, SKP

Received: 2 February, 2017; Accepter: 15 March, 2017

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Published

2017-03-10

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Section

Articles

How to Cite

DESIGN INFORMATION SYSTEM OF EMPLOYEES TARGET WITH NEURAL NETWORK BACKPROPAGATION. (2017). JARES (Journal of Academic Research and Sciences), 2(1), 5. https://doi.org/10.35457/jares.v2i1.413