PENENTUAN BOBOT OTOMATIS UNTUK SISTEM PENDUKUNG KEPUTUSAN DENGAN METODE SAW MENGGUNAKAN GRADIENT DESCENT
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Date
2023-10
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Publisher
Elfitra
Abstract
Decision Support Systems (DSS) are information systems that are important in modern
organizations in determining business decisions. One SPK method that is often and easy to use is
Simple Additive Weighting (SAW). However, determining weight is subjective, making it difficult to
obtain maximum results. This research proposes a new approach by combining the SAW method
and Gradient Descent technique to determine weights automatically. Gradient Descent exploits the
conceptual similarities between SAW and systems of linear equations. The research results show
that this approach produces more accurate and objective weights. Mean Square Error (MSE)
analysis supports that the results of the decision support system with Gradient Descent result weights
are better or at least equivalent to the previously determined weights. Experimental results show
that Gradient Descent has the potential to increase the effectiveness of SPK by determining
automatic weights in the SAW method. This method can be used in various decision-making contexts
to increase accuracy and objectivity.
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Keywords
Gradient Descent, Mean Square Error (MSE), SAW, Decision Support System
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