Tesis Achmad Baroqah Pohan

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  • 08 Apr
  • 2023

Tesis Achmad Baroqah Pohan

Desain jalan harus menerapkan pengetahuan prinsip-prinsip rekayasa untuk
kepadatan arus lalu lintas dan kecepatan dalam meminimalkan probabilitas
kecelakaan. Buruknya estimasi agregat campuran aspal beton menyebabkan
berkurangnya kualitas desain jalan. Marshall test merupakan teknik pengujian
untuk mengetahui tingkat kelayakan agregat campuran aspal beton dalam
konstruksi desain jalan. Stabilitas Marshall merupakan salah satu hasil pengujian
marshall untuk mengetahui beban maksimum yang akan diterima oleh aspal beton.
Namun untuk menjamin akurasi nilai stabilitas marshall dibutuhkan Metode
Komputasi seperti Neural Network untuk memecahkan masalah akurasi dengan
data yang beragam dan tidak linear. Optimasi Neural Network diuji utuk
menghasilkan nilai akurasi yang terbaik, menerapkan Algoritma Genetika bertujuan
untuk menaikkan akurasi yang dihasilkan oleh Neural Network. Eksperimen
dilakukan untuk mendapatkan arsitektur yang optimal dan menghasilkan akurasi
yang meningkat. Hasil penelitian berupan confusion matrix membuktikan akurasi
Neural Network sebelum dioptimasi oleh Algoritma Genetika adalah 93.83% dan
setelah dioptimasi menjadi 97.37%. Hasil AUC membuktikan Neural Network
sebesar 0.975 dan dengan dioptimasi menjadi 0.992. Hal ini membuktikan estimasi
uji coba stabilitas Marshall dengan menggunakan metode neural network dan
algoritma genetika lebih akurat dibandingkan dengan metode individual neural
network.

Unduhan

 

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