WEB-BASED STUDENT CODE VIOLATION SANCTION DECISION SUPPORT SYSTEM

Abstract

To assess students' readiness for behavior and ethics, a decision support system is needed to analyze sanctions and decisions in the decision support system. This decision support system is designed to assist in decision-making in addressing semi-structured or unstructured probem by integrating human judgement and computerized data processing. The development method used in this study is the Simple Additive Weighting (SAW) Method which consists of Multiple Attribute Decision Making (MADM) is a method used to find the optimal alternative from a number of alternatives with certain criteria. The SAW method is also known as the Weighted Sum Model (WSM) or Scoring Method (SM) and is most often used in MADM techniques. As a tool for the support system, this application is designed to support the decision of teachers at SMK Negeri 2 Kec. Guguk the SAW method to analyze and weigh criteria and sanctions for violations committed by students. The system support structured analysis, categorizing teachers' decisions into criteria and sub-criteria, allowing them to understand their strengths and identify areas for improvement. Each criterion is evaluated based on weight, followed by a rating, allowing teachers to gain deeper self-evaluation insights, recognizing decisions taken in following up on violations committed by students.