• Kode Repository : /2020
• NPM : 065116144
• Nama : Rizky Alif tiady R.
• Pembimbing 1 : -Eneng Tita Tosida, S.Tp, M.Si
• Pembimbing 2 : -Adriana Sari Aryani, M.Cs
• Abstrak : -SISTEM IDENTIFIKASI VARIETAS KEDELAI MENGGUNAKAN METODE FUZZY TSUKAMOTO DAN CASE BASED REASONING BERBASIS WEBSITE Eneng Tita Tosida, Adriana Aryani, Rizky Alif Tiady .R Departement Of Computer Science, Pakuan University. Indonesian enengtitatosida@unpak.ac.id;adriana.aryani@unpak.ac.id;rzkatr@gmail.com ABSTRACT Soybean is a plant originating from Manchuria and parts of China, and there are wild types of soybeans belonging to the species Glycine ussuriensis. Then it spreads to the tropics and subtropics and breeding is carried out so that it produces various types of superior cultivated soybeans (Koswara, 1992). In the harvest season, farmers select soybean plants that are ready to be harvested, after the soybean plants have been harvested then the farmers give the harvest to the extension workers to group them between superior and less superior soybean plants. The superior soybean plants will be further investigated by researchers in laboratory while the less superior soybean plants will be separated. The purpose of this study was to develop a system for identifying varieties of soybean using the Tsukamoto fuzzy method and website-based case-based reasoning. Keywords: soybean, expert system, fuzzy Tsukamoto, case based reasoning
• Program Studi : Ilmu Komputer