Limbong, Tonni and Siagian, Parulian and Gultom, Tumiur and Simarmata, Janner (2020) Implementation of the sugeno fuzzy logic method in identifying the quality of coffee beans. IOP Conf. Series: Materials Science and Engineering 725 (2020) 012134. pp. 1-9.
Text.pdf - Published Version
Download (459kB) | Preview
Peer Reviewer.pdf - Published Version
Download (870kB) | Preview
Turnitin.pdf - Published Version
Download (6MB) | Preview
Abstract
Identifying the quality of coffee beans is quite important to be followed up better because it involves the products to be processed or traded. Because the management is quite a lot and complicated, it is proposed to design an application for identifying the quality of coffee beans. With these demands, it is necessary to measure the quality of coffee beans by using Sugeno's Fuzzy Logic method. The identification of the quality of coffee beans using Fuzzy Sugeno by using the Sugeno Fuzzy model of the zero order and using the rule as much as 36, which is in accordance with the need to support the conclusions of quality from the identification results.
Item Type: | Article |
---|---|
Subjects: | S Agriculture > SF Animal culture > SF101 Brands and branding, and other means of identifying |
Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Biologi |
Depositing User: | Cut Lidya Mutia |
Date Deposited: | 07 Feb 2021 13:11 |
Last Modified: | 08 Feb 2021 13:29 |
URI: | https://digilib.unimed.ac.id/id/eprint/41202 |