PREDIKSI HARGA MATERIAL KONSTRUKSI DI INDONESIA DENGAN MENGGUNAKAN LEAST SQUARES SUPPORT VECTOR MACHINE
نویسندگان
چکیده
Prediksi harga material konstruksi menjadi salah satu metode untuk membantu perkembangan dunia di Indonesia. Sebanyak 85% dari total biaya merupakan material, sedangkan sisanya alat dan tenaga kerja. Material sering kali berkaitan dengan makroekonomi maupun komoditas baik secara nasional internasional. dilakukan menggunakan Least Squares Support Vector Machine (LS-SVM) variabel input berupa data komoditas, serta output Indeks Harga Perdangan Besar Hasil penerapan LS-SVM kedalam prediksi menunjukkan hasil nilai error yang rendah. semen Mean Absolute Percentage Error sebesar 0.624% hingga 0.962%, logam besi baja 0.676% 0.853%. Korelasi beton juga yaitu 0.981 0.996 kedua tersebut. Secara keseluruhan, diusulkan dalam penelitian ini karena menghasilkan akurat.
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ژورنال
عنوان ژورنال: Dimensi Utama Teknik Sipil
سال: 2023
ISSN: ['2656-3312']
DOI: https://doi.org/10.9744/duts.10.1.104-119