Decision Support System For Determining The Major Of New Students At SMKS Sunan Drajat Sugio Using The Method SAW (Simple Additive Weighting)

Riska Dwi Elida Yahyatul Rohma; M. Ghofar  Rohman; M. Rosidi  Zamroni

doi:10.29407/gj.v10i1.26553

Authors

Riska Dwi Elida Yahyatul Rohma Universitas Islam Lamongan
M. Ghofar Rohman Universitas Islam Lamongan
M. Rosidi Zamroni Universitas Islam Lamongan

DOI:

https://doi.org/10.29407/gj.v10i1.26553

Keywords:

Major Selection, Decision Support System, Simple Additive Weighting (SAW), , vocational school, accuracy

Abstract

Determining majors for new students at vocational schools is an important process that can affect student achievement and future prospects. However, this process is often still carried out manually and is not very objective, which can potentially lead to a mismatch between the chosen major and the potential and interests of the students. Therefore, a system is needed that can help schools determine majors more accurately, efficiently, and based on data. This study aims to design a Decision Support System (DSS) for determining the majors of new students at SMKS Sunan Drajat Sugio using the Simple Additive Weighting (SAW) method. The SAW method was chosen because of the ease of calculation and its ability to process multi-criteria data to produce systematic decisions. The criteria used in this system include report card averages, basic competency test results, and student interests. This system is web-based with a user-friendly interface. Testing was conducted using 65 new student data for the 2024/2025 academic year by comparing the system's calculation results with manual calculations using the SAW method that had been validated by the school. The test results showed a 100.0% match between the system results and manual calculations, indicating that the system is capable of implementing the SAW method accurately and consistently. Thus, the developed system can be used as a tool to assist

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