Penentuan Prioritas Berita Segmen Business Performance pada PT Industri Komunikasi Utama Menggunakan Metode TOPSIS

Abstract

News prioritization in the Business Performance segment is still conducted manually, potentially resulting in subjectivity and inconsistency in decision-making. This study aims to develop a decision support system to determine news priorities in a structured and objective manner using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The study applies five evaluation criteria: relevance, sentiment, source credibility, impact, and urgency. The prioritization process involves constructing a decision matrix, normalizing the matrix, assigning weights, determining the positive and negative ideal solutions, calculating the distance of each alternative from the ideal solutions, and computing preference values to generate news rankings. The results indicate that the developed system can produce news priority rankings based on the established criteria. The implementation of the TOPSIS method supports a more consistent and structured decision-making process, thereby helping improve the effectiveness of news prioritization in media monitoring activities for the Business Performance segment at PT Industri Komunikasi Utama.