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All Journal Akuisisi : Jurnal Akuntansi Jurnal Tekinkom (Teknik Informasi dan Komputer) Madaniya Computer Science (CO-SCIENCE) Scientific Student Journal for Information, Technology and Science
Euis Nurlaelasari
Universitas Buana Perjuangan Karawang
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science

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Journal : Computer Science (CO-SCIENCE)

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Rancangan Kansei Engineering System (KES) untuk Optimasi Hasil Pencarian Berdasarkan Kategori Emosi Euis Nurlaelasari; Eko Pramono
Computer Science (CO-SCIENCE) Vol. 3 No. 1 (2023): Januari 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v3i1.1795

Abstract

The design of a product will greatly influence a person's interest in the product and provide an overview of the impression of the product. Kansei Engineering is a method of determining product design based on feelings or emotions. The design of the product will be translated into human emotions. A brightly colored plate with a flower shape can be interpreted as a joyful emotion. This makes humans have an attachment to the product because of the emotional connection. Therefore, this research will implement the Kansei engineering method for products in e-commerce. This goal is motivated by e-commerce trends that will continue to develop in the future. The results of this study are the design of the Kansei system for searching products in e-commerce catalogs based on emotion. The conclusion of this research is to develop the best emotion-based product search algorithm and design the Kansei system with the main function of emotion-based product search. Based on the results that have been obtained, further research is expected to use a certain algorithm to automate the knowledge base processing which is very much needed in KES.
Co-Authors Amril Siregar Anis Fitri Nur Masruriyah Edi Junaedi Eko Pramono Fadzly Maulana Hidayat Hilda Yulia Novia Ryan Krisna Tatang Rohana Yanti Yanti