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Moch. Syahrir
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Unit Publikasi Ilmiah, Pusat Penelitian dan Pengabdian Masyarakat, Politeknik Negeri Bali, Kampus Jimbaran, Badung, Bali, Indonesia
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MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA
Published by Politeknik Negeri Bali
ISSN : 25805630     EISSN : 25805630     DOI : http://dx.doi.org/10.31940/matrix.v13i2.52-67
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Managing the rapid changes in information technology Emerging advances in electrical and electronics and new applications Implications of digital convergence and growth of electronics technology Project management in electrical, mechanical, or civil engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 121 Documents
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A decision support system for Ogoh-Ogoh assessment based on SMART and SAW methods in the context of Balinese cultural preservation Adnyana, I Ketut Widhi; Fratiwi, Tria Hikmah
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 15 No. 3 (2025): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v15i3.137-147

Abstract

Bali’s cultural richness includes the Ogoh-Ogoh tradition, which has recently evolved from a ritualistic practice into a competitive event evaluated through multidimensional criteria. However, the current manual evaluation process faces significant challenges, including subjective bias, inconsistent scoring standards, and inefficient data processing, which often reduce public trust in competition results. This study proposes a web-based Decision Support System (DSS) integrating the Simple Multi-Attribute Rating Technique (SMART) and Simple Additive Weighting (SAW) methods to enhance objectivity and transparency in Ogoh-Ogoh assessment. The system was implemented and tested using a dataset of 45 Ogoh-Ogoh alternatives. The comparative analysis demonstrates a strong consistency between the two methods, evidenced by a Spearman’s Rank Correlation coefficient of 0.81. Furthermore, performance testing revealed that the system achieved an 85% ranking accuracy compared to expert manual evaluations and significantly improved operational efficiency by reducing processing time by 40% (from 2.5 hours to 1.5 hours). These findings confirm that the proposed DSS not only minimizes subjectivity but also serves as a valid tool for the digitalization and preservation of cultural heritage assets.

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