Penerapan Particle Swarm Optimization pada Metode Neural Network untuk Perawatan Penyakit Kutil melalui Immunotherapy

Authors

  • Esty Purwaningsih Universitas Bina Sarana Informatika

DOI:

https://doi.org/10.26418/justin.v8i2.39869

Keywords:

data mining, neural network, pso, immunotherapy

Abstract

Human papillomaviruses (HPVs) merupakan virus yang menimbulkan infeksi pada permukaan kulit dan dapt menyebabkan tumor sampai dengan kanker, salh satu penyakit yang disebabkan oleh HPVs adalah kutil. Immunotheraphy dapat dimanfaatkan untuk mengobati penyakit kutil. Sehingga penelitian ini melakukan penerapan metode neural network dengan algoritma PSO yang bertujuan untuk mengetahui nilai akurasi dari metode neural network dengan algoritma PSO yang berperan membantu menganalisis apakah peran immunotherapy lebih efektif dalam penyembuhan penyakit kutil dan kanker kulit. Setelah dilakukan pengujian melalui aplikasi rapid miner diketahui bahwa model Neural Network (NN) dengan algoritma PSO memiliki nilai akurasi sebesar 87.78%. Hasil perhitungan, performance keakurasian AUC yang diperoleh masuk kedalam kategori Good Classification dengan nilai AUC sebesar 0,757 dan memiliki nilai RMSE 0.331. Dengan demikian, metode Neural Network dengan algoritma PSO dapat digunakan untuk perawatan penyakit kutil melalui immunotherapy.

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Published

2020-04-29

Issue

Vol. 8 No. 2 (2020)

Section

Articles

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