Skripsi

DIAGNOSA PENYAKIT DIABETES MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION LEVENBERG-MARQUARDT

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Penilaian

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Diabetes is a condition caused by an increase in glucose or sugar levels in the blood. Diabetes cannot be cured, but with proper control, organ failure and tissue damage can be prevented. In response to this condition, early detection of diabetes needs to be done by developing software for diabetes diagnosis using artificial neural networks. The most commonly used algorithm is backpropagation. However, this algorithm takes a longer time to reach convergence, therefore optimization is needed. This study succeeded in developing a software for diabetes diagnosis using levenberg-marquardt-optimized backpropagation. Testing using 4 maximum iterations and 5 learning rates, Backpropagation levenberg-marquardt produces optimal performance using a learning rate of 0.3 and a maximum of 500 iterations with an accuracy of 86.23% and an f-measure of 80.61%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2007000070	T39933	T399332020	Central Library (REFERENSI)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T399332020

Publisher

Inderalaya : Jurusan Sistem Komputer, Fakultas Ilmu Komputer., 2020

Collation

xvi, VI-2 hlm.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.740 7

Content Type

Text

Media Type

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Carrier Type

-

Edition

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Subject(s)

Database-manajemen
Jurusan Sistem Komputer

Specific Detail Info

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Statement of Responsibility

NO

Other version/related

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