Claim Missing Document
Check
Articles

Found 1 Documents
Search

Implementation of a Decision Support System for Selection of Mechanical and Electrical Materials Using a Web-Based Smart Method Jul Padri; Susanna Dwi Yulianti Kusuma
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3923

Abstract

This research was motivated by the material selection process for mechanical and electrical materials at PT. Tirta Gitacana Sakti, which was not yet supported by an integrated web-based system for managing material data and storing assessment history. This condition caused the decision-making process to require a relatively long time and potentially resulted in inconsistencies in the assessment process. In addition, the material assessment process had not yet used a structured decision-making method, causing the results to remain subjective and less measurable. This research aims to design and develop a web-based Decision Support System (DSS) that can manage material data, store assessment history, and improve efficiency and consistency in the selection of mechanical and electrical materials. This research also aims to implement the SMART (Simple Multi-Attribute Rating Technique) method to produce a more objective, structured, and measurable assessment process and provide recommendations for the best materials. The system was developed using the Waterfall method, while system testing was conducted using Black Box Testing and White Box Testing with the Basis Path Testing technique. The SMART method was implemented through criteria weight normalization, utility value calculation based on Benefit and Cost criteria, and final value calculation to generate material rankings. The results show that the developed system successfully integrates the management of material, supplier, criteria, assessment, assessment period, assessment history, approval, reporting, and audit log data. The implementation of the SMART method successfully produces final values and material rankings as a basis for providing recommendations.