cover
Contact Name
Agus Tedyyana
Contact Email
agustedyyana@polbeng.ac.id
Phone
+6285289866666
Journal Mail Official
jurnaoinformatika@polbeng.ac.id
Editorial Address
Jl. Bathin alam, Sungai Alam Bengkalis-Riau 28711
Location
Kab. bengkalis,
Riau
INDONESIA
INOVTEK Polbeng - Seri Informatika
ISSN : 25279866     EISSN : -     DOI : https://doi.org/10.35314
Core Subject : Science,
The Journal of Innovation and Technology (INOVTEK Polbeng—Seri Informatika) is a distinguished publication hosted by the State Polytechnic of Bengkalis. Dedicated to advancing the field of informatics, this scientific research journal serves as a vital platform for academics, researchers, and practitioners to disseminate their insightful findings and theoretical developments. Scope and Focus: INOVTEK Polbeng - Seri Informatika focuses on a broad spectrum of topics within informatics, including but not limited to Web and Mobile Computing, Image Processing, Machine Learning, Artificial Intelligence (AI), Intelligent Systems, Information Systems, Databases, Decision Support Systems (DSS), IT Project Management, Geographic Information Systems, Information Technology, Computer Networks and Security, and Wireless Sensor Networks. By covering such a wide range of subjects, the journal ensures its relevance to a diverse readership interested in both the practical and theoretical aspects of informatics.
Articles 271 Documents
A Web-Based Decision Support System for Determining High-Achieving Students Using The Simple Additive Weighting (SAW) Method at SMK Kanisius Ungaran Cesillia Ayu Kumala Sari; Yoannes Romando Sipayung
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 2 (2026): May (Inpress)
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/n202pv96

Abstract

This study develops a web-based Decision Support System (DSS) to assist in determining academically high-achieving students at SMK Kanisius, Ungaran. The current evaluation process in the school relies largely on manual assessment, which can make the management of multiple evaluation criteria time-consuming and difficult to organize systematically. To support a more structured evaluation process, this research applies the Simple Additive Weighting (SAW) method as a multi-criteria decision-making approach. Four assessment criteria were used in the system: report card average scores, school examination results, non-academic achievements, and attendance. Each criterion was assigned a weight based on institutional priorities. The system was implemented as a web application using Next.js and React.js for the front-end interface, while Supabase with PostgreSQL was used for data storage and management. The SAW procedure integrated into the system includes score normalization, weighted aggregation, and the generation of ranking results for students. A sample dataset consisting of five student alternatives was used to demonstrate the calculation process and system functionality. The results show that the system can process student evaluation data and generate ranking outputs based on the predefined criteria and weights. In the calculation example, the highest-ranked student obtained a final score of 0.9902. The developed system demonstrates how the SAW method can be operationalized within a web-based platform to support the organization and processing of multi-criteria student evaluation data. The study primarily contributes a practical implementation of a DSS for academic assessment in vocational secondary education contexts.