Comparative Analysis Of Production Prediction Of Silungkang Songket And Pandai Sikek Songket With Mamdani Fuzzy Inference System (Fis) Method

Kartika, Devia and Gema, Rima Liana (2020) Comparative Analysis Of Production Prediction Of Silungkang Songket And Pandai Sikek Songket With Mamdani Fuzzy Inference System (Fis) Method. JURNAL IPTEKS TERAPAN, 14 (3). ISSN 2460-5611

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Official URL/ URL Asal/ URL DOI: http://publikasi.lldikti10.id/index.php/jit/articl...

Abstract

Fuzzy logic is widely applied in various fields, such as industry, communications, etc. Fuzzy logic was developed to solve an obscure problem. The problem that arises in the production at MSMEsSongket Silungkang and Songket Pandai Sikek at this time is that there is no system used as a reference in determining the amount of production in the future. Where this method can utilize demand and supply data in the past which is then processed with fuzzy stages so as to produce production figures. The government has prioritized the development of the Silungkang songket handicraft business, which is a regional specialty, in order to enter the export market. In the early stages, the priority of the regional government was to increase the production of craftsmen by facilitating coaching for micro, small and medium enterprises (MSMEs), especially those engaged in songket crafts, to continue to be developed by increasing quality and creativity. By applying the Fuzzy Inference System method in predicting the production of Songket Silungkang Kota Sawahlunto and Songket Pandai Sikek Kota Agam can help several parties such as the government, micro, small and medium enterprises in making efforts to handle and makegood decisions towards increasing the production of Songket MSMEsin each region. and can provide a comparison of the predicted results of production for the coming period so that it can produce the optimal number of songket based on market demand.

Item Type: Article
Subjects: 0 Research > Ilmu Komputer > Algoritma
0 Research > Ilmu Komputer > Sistem Pakar
Divisions/ Fakultas/ Prodi: Fakultas Ilmu Komputer
Depositing User: Administrator 2
Date Deposited: 21 Sep 2021 08:14
Last Modified: 22 Sep 2021 04:03
URI: http://repository.upiyptk.ac.id/id/eprint/3322

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