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Sertiani Rosida Gultom
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Computer Science & IT

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Journal : Journal of Decision Support System Research

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Analisis Kualitas Surat Kabar Online Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Sianturi, Lydia Shinta Maria; Meliza Gultom; Sertiani Rosida Gultom
Journal of Decision Support System Research Vol. 2 No. 1 (2024): September 2024
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/dss.v2i1.73

Abstract

This research aims to analyze the quality of the best online newspapers using the Simple Additive Weighting (SAW) method. This method was chosen because of its ability to handle multi-criteria decisions by calculating the preference value of each option based on predetermined criteria. Online newspapers such as The Washington Pos.com, CNN.com, Reuter.com, Merdeka.com, and others are rated based on various factors, including content quality, update speed, and interactivity. CNN.com, Reuter.com, and Merdeka.com received the highest score of 1, while the lowest rating was with a value of 0,085. This research guides readers in choosing a quality online newspaper, as well as providing insight for newspaper managers in their efforts to improve their services. The SAW method has proven to be effective in conducting quality analysis by considering various relevant criteria.
Co-Authors Meliza Gultom Sianturi, Lydia Shinta Maria