Optimasi Fungsi Keanggotaan FIS Tsukamoto Menggunakan Simulated Annealing Untuk Identifikasi Penyakit Gigi

SARAGIH, TRIANDO HAMONANGAN

dc.contributor.author	SARAGIH, TRIANDO HAMONANGAN
dc.date.accessioned	2020-12-01T02:55:50Z
dc.date.available	2020-12-01T02:55:50Z
dc.date.issued	2020
dc.identifier.issn	2406-7857
dc.identifier.uri	https://repo-dosen.ulm.ac.id//handle/123456789/18494
dc.description.abstract	Teeth are one of the tools in the framework related to the human stomach which fills as a food destroyer for simple processing. Diseases that attack teeth can withstand this action and cannot be distinguished quickly by young dental specialists. This problem can be solved by methods in the field of technology. The algorithm that can be used is FIS Tsukamoto in classification. Optimization of the membership function at FIS Tsukamoto is needed to improve accuracy. Optimization of FIS Tsukamoto membership function using Simulated Annealing produced the highest accuracy at 92.5% of the 100 test data. Keywords: Simulated Annealing; FIS Tsukamoto, Dental Disease, Optimization	en_US
dc.description.abstract	Teeth are one of the tools in the framework related to the human stomach which fills as a food destroyer for simple processing. Diseases that attack teeth can withstand this action and cannot be distinguished quickly by young dental specialists. This problem can be solved by methods in the field of technology. The algorithm that can be used is FIS Tsukamoto in classification. Optimization of the membership function at FIS Tsukamoto is needed to improve accuracy. Optimization of FIS Tsukamoto membership function using Simulated Annealing produced the highest accuracy at 92.5% of the 100 test data. Keywords: Simulated Annealing; FIS Tsukamoto, Dental Disease, Optimization	en_US
dc.publisher	UNIVERSITAS LAMBUNG MANGKURAT	en_US
dc.subject	Research Subject Categories::TECHNOLOGY::Information technology::Computer science	en_US
dc.subject	Research Subject Categories::TECHNOLOGY::Information technology::Computer science	en_US
dc.title	Optimasi Fungsi Keanggotaan FIS Tsukamoto Menggunakan Simulated Annealing Untuk Identifikasi Penyakit Gigi	en_US
dc.type	Article	en_US