IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 5 No 1 (2026): IT-Explore Februari 2026

Sistem pendukung keputusan pemilihan lulusan terbaik untuk jurusan teknik informatik di Instituto Profissional de Canossa (IPDC) menggunakan metode multi attribute utility theory

Rai Lira Dos Santos Rego, Jose Ian (Unknown)



Article Info

Publish Date
18 Feb 2026

Abstract

Best graduate selection is crucial for academic achievement and contributes to the accreditation value of the institution. Instituto Profissional de Canossa (IPDC) is a higher education institution founded by the Canossian Sisters in Timor-Leste. To improve the effectiveness of assessment and decision-making processes, an information system is needed to assist in selecting the best graduates based on multiple criteria. This research develops a web-based Decision Support System (DSS) using the Multi-Attribute Utility Theory (MAUT) method. MAUT is a multi-criteria decision-making method that evaluates alternatives based on their utility scores across several criteria. The study uses four main criteria: attendance, academic performance, ethics, and discipline. The system is implemented as a web application for universal access. The MAUT calculation results provide valid and accurate recommendations for the best graduates. System testing showed that the application successfully ranked candidates based on defined weights and criteria, providing objective and consistent selection results.

Copyrights © 2026






Journal Info

Abbrev

itexplore

Publisher

Subject

Computer Science & IT Control & Systems Engineering

Description

IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi merupakan jurnal ilmiah tentang penelitian penerapan Teknologi Informasi dalam berbagai bidang, terbit tiga kali dalam setahun, yaitu pada bulan Januari, Mei, dan September untuk masing-masing volumenya. IT-Explore menerima artikel ...