Publishing Journal • Journal Of Computer Science And Technology (JOCSTEC)

Design Of A Decision Support System For Prioritizing Village Infrastructure Development Using The SAW Method

DOI: 10.59435/jocstec.v4i3.834 Published: 28 September 2026 Pages: 11-25 (Vol. 4, No. 3) Views: 2
Authors & Researchers
D
Daud Brilian Simanjuntak https://ror.org/01a6gjq301
E
Edward Rajagukuguk https://ror.org/01a6gjq302
S
Surianto Sitepu https://ror.org/01a6gjq303

Abstract

Village infrastructure development planning often faces challenges in determining priorities due to limited budget allocations and assessment mechanisms that still tend to be subjective. This study aims to build an objective, transparent, and measurable Decision Support System (DSS) to determine the priority order of infrastructure development proposals in Asam Jawa Village, Torgamba District. The applied solution integrates the Rank Order Centroid (ROC) method to calculate criteria weighting based on relative importance, and the Simple Additive Weighting (SAW) method to process the alternative ranking calculation. The evaluation was conducted on 23 physical infrastructure proposals using four main criteria: urgency level (C1), physical condition (C2), benefits (C3), and population size (C4). The results indicate that alternative A4 (Construction of Borehole Well and Public Toilet at Field) and alternative A18 (Sejahtera Street Concrete Cast) achieved the highest preference score of 1.000000, followed by other infrastructure proposals in a structured manner. The combined use of ROC and SAW methods is proven to be effective and consistent in generating accurate rural development priority rankings. The integration of these two methods facilitates village government officials in making accountable decisions while minimizing cognitive bias risks in optimizing development budget allocation.

Indexing Journal

Journal Of Computer Science And Technology (JOCSTEC) Cover

Journal Of Computer Science And Technology (JOCSTEC)

ISSN: 2985-4318 Publisher: PT. Padang Tekno Corp