Open AccessDESIGN INFORMATION SYSTEM OF EMPLOYEES TARGET WITH NEURAL NETWORK BACKPROPAGATION
Author(s) -
Agus Sifaunajah,
Kusworo Adi,
. Faikhin
Publication year - 2018
Publication title -
jares (journal of academic research and sciences)
Language(s) - English
Resource type - Journals
ISSN - 2503-1163
DOI - 10.30957/jares.v2i1.409
Subject(s) - backpropagation , artificial neural network , objectivity (philosophy) , computer science , artificial intelligence , machine learning , civil servants , data mining , philosophy , epistemology , politics , political science , law
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