Skripsi

PERBANDINGAN ALGORITMA BACKPROPOGATION DAN SUPPORT VECTOR MACHINE (SVM) UNTUK PREDIKSI MASA STUDI MAHASISWA AKTIF BERORGANISASI

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Penilaian

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In a college, students not only have the opportunity to learn as usual but also to develop skills that can be honed by participating in one or more organizations on and off campus. Many people think that being involved in organizations will prolong a student's study duration, but that is not entirely true. Many of these students focus on their organizations while still performing well in their studies. In this research, a comparison between the Backpropagation and Support Vector Machine (SVM) algorithms is conducted. The accuracy level obtained from both methods will be used as a reference to compare the performance of these algorithms. During the training of the Backpropagation algorithm, the best accuracy achieved was 72% with a learning rate parameter of 0.1 and 0.001. On the other hand, the Support Vector Machine achieved the best accuracy of 81% with a parameter value of C = 10 and a Polynomial kernel.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307005638	T124650	T1246502023	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1246502023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiv, 75 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.307

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Program
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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