A Comparative Study of SAW, WP, and TOPSIS Methods for Gaming Laptop Selection

Ryanda Deanova; Bagus Firmansyah; Vially Putra Priyanto; Akianus Wenda; Muhammad Arfan Albaar; Abdullah Amiruddin; Perani Rosyani

doi:10.55927/ijis.v4i6.394

Authors

Ryanda Deanova Pamulang University
Bagus Firmansyah Pamulang University
Vially Putra Priyanto Pamulang University
Akianus Wenda Pamulang University
Muhammad Arfan Albaar Pamulang University
Abdullah Amiruddin Pamulang University
Perani Rosyani Pamulang University

DOI:

https://doi.org/10.55927/ijis.v4i6.394

Keywords:

Decission Support System, SAW Method, WP, Method, TOPSIS Method, Gaming Laptop

Abstract

The increasing demand for high-performance gaming laptops requires a systematic decision-making approach to select the most suitable product. This study compares three Multi-Criteria Decision-Making (MCDM) methods: Simple Additive Weighting (SAW), Weighted Product (WP), and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to determine the best gaming laptop. A dataset of six premium laptops was evaluated based on seven criteria, including specifications, portability, and price. Numerical scoring and sensitivity analysis were applied to assess method stability. The results indicate differences in rankings produced by each method, providing insight into their reliability for supporting gaming laptop selection decisions

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