HYPERPARAMETER TUNNING DENGAN SVM PADA PENGENALAN WAJAH UNTUK KEAMANAN

• SURYA FAJAR SAPUTRA
• 14002610

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ABSTRAK

 

ABSTRAK Nama : Surya Fajar Saputra Nim : 14002610 Program Studi Fakultas : Ilmu Komputer Teknologi Informasi Jenjang : Strata Dua (S2) Konsentrasi Judul Tesis : Image Processing “Hyperparameter Tunning Dengan SVM Pada Pengenalan Wajah Untuk Keamanan” Pada abad 21 di era modern ini dimana kemajuan teknologi yang dicapai mampu mempercepat manusia dalam menyelesaikan pekerjaan. Di antara kontribusi tersebut adalah teknologi pengenalan diri sebagai alat yang berguna untuk mengenali fitur. Di teknologi pengenalan diri merupakan sistem biometrik, terdiri dari bagian tubuh manusia seperti wajah, retina, telinga, gigi, bibir, sidik jari, geometri tangan dan telapak tangan lebih banyak digunakan sebagai identifkasi personal manusia. Dalam hal ini pengenalan wajah adalah salah satu biometrik untuk mengenali seseorang dan sering digunakan. Pengenalan wajah termasuk objek yang berbeda untuk fitur mendeteksi dan faktor yang sangat diperlukan dalam keamanan. Dengan ini sistem pengenalan wajah yang digunakan yaitu cara kerjanya menyimpan citra wajah, untuk data masukkan dibandingkan dan dapat menghasilkan citra wajah yang cocok. Metode yang sering digunakan untuk klasifikasi yaitu algoritma klasifikasi machine learning. Dalam masalah ini untuk menguji keefektifan maka menggunakan hyperparameter tuning berbasis
GridsearchCV dengan support vector machine pada pengenalan wajah. Pada penelitian ini didapatkan model dengan performa terbaik dengan hyperparameter
tuning yang telah disesuaikan dan mendapatkan akurasi sebesar 99%.
Kata Kunci: Pengenalan Wajah, Machine Learning, Klasifikasi, Support
Vector Machine , Hyperparameter Tuning, GridsearchCV.
 

KATA KUNCI

Hyperparameter Tunning

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DAFTAR PUSTAKA

 

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