PENERAPAN METODE SAW (SIMPLE ADDITIVE WEIGHTING) UNTUK MENDUKUNG KEPUTUSAN PENERIMA BEASISWA BERBASIS TEKNOLOGI WEBSITE

Penulis

  • Ni Luh Ratniasih Institut Teknologi Dan Bisnis STIKOM BALI
  • I Ketut Widhi Adnyana Institut Teknologi dan Bisnis STIKOM BALI

DOI:

https://doi.org/10.64626/jukomtek.v5i1.503

Kata Kunci:

Decission Support System, Scholarship, Simple Additive Weighting, Selection

Abstrak

The scholarship recipient selection process at SMPN 1 Bangli currently faces challenges of subjectivity and inefficiency due to manual data processing. This condition risks leading to decisions that are poorly targeted. This research aims to design and develop a web-based Decision Support System (DSS) by implementing the Simple Additive Weighting (SAW) method. The SAW method was chosen for its accurate multi-criteria analysis capability through a matrix normalization process. The system development followed the Research and Development (R&D) model, comprising analysis, UML design, implementation, and testing stages. The established assessment criteria include Report Card Grades (35%), Number of Siblings (20%), Non-Academic Achievements (25%), and Parental Income (20%). Based on testing conducted on 10 student data alternatives, the system successfully performed automatic ranking. The final results indicated that a student named Kadek Aditya Sadana Paramartha ranked first with a preference value of 1.193. Furthermore, Black-Box testing results showed that the system's validation features and functionalities operated 100% in accordance with the design. The implementation of this DSS is proven to significantly enhance objectivity, transparency, and efficiency in the scholarship selection process compared to conventional methods

Referensi

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Diterbitkan

01-01-2026

Cara Mengutip

Luh Ratniasih, N., & Adnyana, I. K. W. (2026). PENERAPAN METODE SAW (SIMPLE ADDITIVE WEIGHTING) UNTUK MENDUKUNG KEPUTUSAN PENERIMA BEASISWA BERBASIS TEKNOLOGI WEBSITE. Jurnal Komputer Dan Teknologi, 5(1), 27–39. https://doi.org/10.64626/jukomtek.v5i1.503

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