PENERAPAN DECISION SUPPORT SYSTEM DYNAMIC MENGGUNAKAN SIMPLE ADDICTIVE WEIGHTING DALAM PENENTUAN PEGAWAI TERBAIK

  • Tanti Rismawati Universitas Islam Negeri Maulana Malik Ibrahim Malang
  • Muhammad Aji Pangestu Universitas Islam Negeri Maulana Malik Ibrahim Malang
  • Agung Teguh Wibowo Almais Universitas Islam Negeri Maulana Malik Ibrahim Malang
Keywords: Decision Support System Dynamic, simple addictive weighting

Abstract

Lots of applications or programs that are very useful to simplify human work. This includes applications that are made within a company. A company needs an intelligent system or an agent that controls the company's system. In a company has employees who work. This research will discuss the Dynamic Decision Support System in determining the best employees using one of the web-based Multi-Criteria Decision Making methods, which is Simple Additive Weighting (SAW). By using 2 types of data namely pattern data and test data. The data inputted were 15 data consisting of 10 test data and 5 pattern data. Then a confusion matrix can be obtained in the form of an accuracy value of 25%, a precision of 100%, a recall of 14%, and an F Measure of 24.5%.

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Published
2020-06-30
How to Cite
Rismawati, T., Pangestu, M. A., & Almais, A. T. W. (2020). PENERAPAN DECISION SUPPORT SYSTEM DYNAMIC MENGGUNAKAN SIMPLE ADDICTIVE WEIGHTING DALAM PENENTUAN PEGAWAI TERBAIK. Jurnal Ilmiah Informatika, 5(1), 17-24. https://doi.org/10.35316/jimi.v5i1.547
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