KLASIFIKASI PENYAKIT KANKER PAYUDARA MENGGUNAKAN BACKPROPAGATION DENGAN PEMBOBOTAN ADAPTIVE LEARNING RATE

NUGRAHA, M. RANDITAMA and Rini, Dian Palupi and Rodiah, Desty (2020) KLASIFIKASI PENYAKIT KANKER PAYUDARA MENGGUNAKAN BACKPROPAGATION DENGAN PEMBOBOTAN ADAPTIVE LEARNING RATE. Undergraduate thesis, Sriwijaya University.

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Abstract

Seiring dengan kemajuan teknologi, pendeteksian penyakit kanker payudara dapat dilakukan tanpa ahli medis. Metode Backpropagation merupakan salah satu metode yang dapat digunakan untuk mengklasifikasi penyakit kanker payudara. Namun, dikarenakan proses pembelajarannya yang lambat, dilakukan optimasi dengan menambahkan metode Adaptive Learning Rate pada tahan update bobot. Penelitian ini menggunakan data sebanyak 683 total data dengan pembagian 478 data latih dan 205 data uji, persentase data 70:30%. Pengujian akan dilakukan berdasarkan proses training menggunakan 3 nilai iterasi berbeda (100, 1.000, 10.000). Hasil penelitian menunjukkan nilai rata-rata akurasi terbaik diperoleh dari hasil proses training menggunakan nilai iterasi 10.000 dengan total akurasi sebesar 84.33% menggunakan metode Backpropagation dengan pembobotan Adaptive Learning Rate.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Machine Learning, Backpropagation, Adaptive Learning Rate, Learning Rate, Iterasi, Kanker Payudara.
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Users 5671 not found.
Date Deposited:	06 Apr 2020 08:28
Last Modified:	06 Apr 2020 08:28
URI:	http://repository.unsri.ac.id/id/eprint/28821

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