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Sistem Pendukung Keputusan Penerimaan Siswa Baru Menggunakan Metode Simple Additive Weighting (SAW) BERBASIS WEB (Studi Kasus: SMKS YADIKA 12 Limo Depok)

Sep 2026 · Journal of Engineering and Science Application · Vol 3, pp. 206-210 · 0 citations · 17 references

TL;DR

The results indicate that the developed decision support system is capable of automatically performing the calculation, weighting, normalization, and ranking of prospective students based on the SAW method, resulting in a faster, more structured, transparent, and consistent selection process than the previous manual approach.

Abstract

This study aims to design and implement a web-based Decision Support System (DSS) for new student admissions at SMKS Yadika 12 Limo, Depok, using the Simple Additive Weighting (SAW) method to support the student selection process in a more objective, efficient, accurate, and effective manner compared to the manual selection process. This study applies the Simple Additive Weighting (SAW) method as the decision-making approach based on several criteria, namely students' average report card scores, entrance examination scores, academic achievements, and affiliation. The system was developed using the Rapid Application Development (RAD) methodology, which consists of the planning, system design, construction, and implementation phases. Furthermore, the system was tested using the Black Box Testing method to ensure that all system functions operated according to user requirements. The results of this study indicate that the developed decision support system is capable of automatically performing the calculation, weighting, normalization, and ranking of prospective students based on the SAW method, resulting in a faster, more structured, transparent, and consistent selection process than the previous manual approach. In addition, the testing results demonstrate that all system functions operate properly, enabling the system to assist SMKS Yadika 12 in objectively identifying prospective students who meet the specified criteria while reducing potential errors in the final score calculation process.

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