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All Journal Jurnal Transformatika Information Science and Library
Puput Eka Suryani
Safin Pati University
Humanities Computer Science & IT

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Komparasi AHP, SAW, TOPSIS, VIKOR, dan MABAC pada Sistem Pengambilan Keputusan Pemilihan Supplier Obat Dwi Purnomo Putro; Puput Eka Suryani; Saeful Amri
Jurnal Transformatika Vol. 23 No. 1 (2025): July 2025
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v23i1.12220

Abstract

The selection of pharmaceutical suppliers is crucial for ensuring consistent drug availability and maintaining service quality in healthcare facilities. This study offers a comparative analysis of five Multi Criteria Decision Making methods (AHP, SAW, TOPSIS, VIKOR, and MABAC) applied to supplier evaluation based on four key criteria: price, delivery time, receipt accuracy, and product quality. Unlike previous studies that employed individual or dual methods, this research evaluates all five methods using the same dataset to assess consistency, sensitivity, and decision reliability. The results show strong ranking consistency across methods, with AHP and SAW producing identical outputs. TOPSIS and VIKOR offer similar outcomes based on proximity and compromise analysis, while MABAC demonstrates high discrimination power for mid-ranked suppliers. Sensitivity tests confirm ranking stability under moderate weight variations. This study provides practical recommendations for selecting appropriate decision methods in pharmaceutical procurement systems based on operational context and desired decision accuracy.
Komparasi Metode MAUT, WASPAS, MOORA, Fuzzy AHP,  TOPSIS  dalam Seleksi Penerima Beasiswa Puput Eka Suryani; Mokhamad Solikin; Dwi Purnomo Putro
Information Science and Library Vol. 6 No. 1 (2025): Juni
Publisher : UPT Perpustakaan Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/jisl.v6i1.12247

Abstract

Seleksi beasiswa memerlukan pendekatan objektif untuk menilai berbagai kriteria seperti IPK, kondisi ekonomi, keaktifan organisasi, dan prestasi. Penelitian ini membandingkan 5 metode Multi-Criteria Decision Making (MCDM): Multi Attribute Utility Theory (MAUT), WASPAS (Weighted Aggregated Sum Product Assessment), MOORA (Multi-Objective Optimization by Ratio Analysis), Fuzzy AHP (Fuzzy Analytic Hierarchy Process) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk menentukan peringkat calon penerima beasiswa. Data simulasi 5 alternatif dan 4 kriteria digunakan untuk menguji konsistensi, efektivitas, dan sensitivitas setiap metode. Hasil menunjukkan bahwa seluruh metode memberikan hasil peringkat yang konsisten, dengan nilai korelasi Spearman sempurna (ρ = 1.000). Uji sensitivitas terhadap perubahan bobot IPK ±10% menunjukkan tidak ada perubahan peringkat, menandakan stabilitas tinggi. Meskipun hasil akhir seragam, tiap metode memiliki karakteristik tersendiri dalam efisiensi, stabilitas, dan fleksibilitas. Penelitian ini merekomendasikan pemilihan metode MCDM berdasarkan kebutuhan sistem dan karakteristik data. Temuan ini dapat menjadi referensi strategis bagi institusi pendidikan dalam menerapkan sistem seleksi beasiswa yang transparan dan akuntabel.
Co-Authors Amri, Saeful Dwi Purnomo Putro Dwi Purnomo Putro Mokhamad Solikin