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Penerapan Metode SAW untuk Pemilihan Bank Terbaik Berdasarkan Kriteria Layanan Perbankan bagi Mahasiswa UPN “Veteran” Jakarta Ayunda Putri, Raisadevi; Indriyani Putri, Nurmalia; Meutia Said, Zelda; Niqotaini, Zatin
JURNAL FASILKOM Vol. 16 No. 2 (2026): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v16i2.11605

Abstract

Chossing appropriate banking services has become increasingly complex for university students due to the swift expansion of Indonesia's digital financial technology. Previous Decision Support System (DSS) studies in banking, such as those relying on the Analytic Hierarchy Process (AHP), exhibit a critical research gap: they predominantly analyze conventional and digital banks in isolation, use restricted criteria, and neglect the student demographic. To address this gap and establish a distinct novelty, this study introduces an integrated DSS model using the Simple Additive Weighting (SAW) method. Unlike existing AHP-based models that rely heavily on subjective expert judgments, this SAW framework contributes uniquely by combining subjective student preferences with objective institutional metrics, including monthly fees, ATM networks, and branch distributions extracted from official annual reports and corporate websites.  The model evaluates both banking sectors across six dimensions tailored for students at UPN "Veteran" Jakarta. Prior to SAW processing, the survey instrument spanning seven faculties was validated via Pearson Correlation and Cronbach's Alpha. The findings reveal that SeaBank achieved the highest preference score (0.878), outperforming BCA (0.794) and BRI (0.786). This demonstrates that while students prioritize administrative cost efficiency and digital agility, security and physical accessibility remain critical. Ultimately, this research advances banking DSS literature by providing a highly objective, student-centric hybrid evaluation system.