Ahmad Fadhly Sani Saragih, Muhammad Ikhsan, Aidil Halim Lubis

Penerapan Metode Simple Additive Weighting pada Sistem Pendukung Keputusan Pemilihan Raket Bulu Tangkis

Introduction

Penerapan metode simple additive weighting pada sistem pendukung keputusan pemilihan raket bulu tangkis. Kembangkan Sistem Pendukung Keputusan (DSS) pemilihan raket bulu tangkis untuk pemula menggunakan metode Simple Additive Weighting (SAW) berbasis web guna tingkatkan performa.

Abstract

Badminton is one of the most popular sports in Indonesia and a source of national pride due to the achievements of its athletes in international tournaments. The racket is the primary equipment used in badminton, and selecting the appropriate one is crucial for performance and comfort. However, many beginner players still find it difficult to choose a suitable racket according to the coach’s recommendation. Therefore, this study developed a Decision Support System (DSS) for badminton racket selection by applying the Simple Additive Weighting (SAW) method. Four alternatives—Yonex, Li-Ning, Flypower, and Victor—were evaluated using five criteria: price, racket weight, head type, shaft flexibility, and handle size. The integration of the SAW method into a web-based application produced ranking results for racket selection. The results showed that Li-Ning G Force Superlite 3900 achieved the highest score of 0.8845, indicating it as the most suitable racket for beginner players.

Review

This paper addresses a pertinent issue for burgeoning badminton enthusiasts in Indonesia by proposing a Decision Support System (DSS) to simplify racket selection. Given badminton's national prominence and the complexities beginners face in choosing appropriate equipment, the study's objective to guide players towards optimal rackets is highly relevant. The choice of the Simple Additive Weighting (SAW) method is a sensible initial approach for such a system, offering a clear and transparent framework for multi-criteria decision-making that can be easily understood by the target audience. The methodology employed integrates the SAW method within a web-based application, which is a practical approach for accessibility. The evaluation process involved four recognized racket brands—Yonex, Li-Ning, Flypower, and Victor—assessed against five crucial criteria: price, racket weight, head type, shaft flexibility, and handle size. The reported result, with the Li-Ning G Force Superlite 3900 achieving the highest score of 0.8845, provides a clear and actionable recommendation for beginner players, demonstrating the system's capacity to deliver concrete outcomes. Overall, this research presents a commendable effort in developing a practical tool to assist beginner badminton players. The application of the SAW method is straightforward and effective for the stated purpose. Future work could consider expanding the criteria set to include aspects like durability or grip type, validating the system's recommendations through field testing with actual players and coaches, or exploring the integration of other MCDM methods to compare result robustness. This foundational work provides a valuable starting point for further enhancements in personalized sports equipment recommendations.

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