Sistem Pendukung Keputusan Pemilihan Kain Jilbab Berdasarkan Minat Konsumen Menggunakan Metode Simple Additive Weighting (saw)
Nia Hasna Umami, Eko Riswanto, S.T, M.Cs 24 September 2020 Teknik Informatika

Abstract / Intisari :
The development of fashion, especially in Muslim fashion in Indonesia, has become a trend in itself. With the increasingly rapid development of Muslim fashion, it does not rule out the possibility for Muslim fashion business actors to start competing to make products that are in demand, especially for Muslim women. Sometimes there are consumers who are confused, for example, they want to have a hijab with the type of fabric and model or design, price, texture, treatment they want but are not available in stores, making producers have creative ideas to create a system for selecting hijab fabrics based on consumer interests. The problems that exist in these consumers are taken by producers who want to provide recommendations to consumers. Manufacturers who initially only provide examples of types of fabric to consumers, sometimes make consumers less satisfied and make it take a long time for the producer to explain in detail about the many types of fabrics. Finally, producers choose to make a Decision Support System (DSS) application in order to make it easier for consumers to choose the type of fabric they want, and for producers to save time rather than explaining one by one. Decision Support System for Hijab Cloth Selection based on consumer interest using the Simple Additive Weighting (SAW) method. The Simple Additive Weighting (SAW) method is a weighted summation method of the performance rating for each alternative on all attributes. The system design method uses Data Flow Diagrams (DFD) and normalization. As for the application program using PHP and MySQL database. With this decision support system, in the end, it produces recommendations to ranking consumers of several types of fabrics that are provided by the producers. So that consumers will be more confident because the recommended fabrics match their interests. Keywords Decision Support Systems, SAW, PHP, DFD, Normalization

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