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

UTAMI, ANNISA KIRANIA and Rini, Dian Palupi and Darmawahyuni, Annisa (2023) PERBANDINGAN ALGORITMA BACKPROPOGATION DAN SUPPORT VECTOR MACHINE (SVM) UNTUK PREDIKSI MASA STUDI MAHASISWA AKTIF BERORGANISASI. Undergraduate thesis, Sriwijaya University.

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Abstract

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.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Prediksi, Backpropagation, Support Vector Machine (SVM)
Subjects:	T Technology > T Technology (General) > T59.5 Automation
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Annisa Kirania Utami
Date Deposited:	01 Aug 2023 06:26
Last Modified:	01 Aug 2023 06:26
URI:	http://repository.unsri.ac.id/id/eprint/124650

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