Muhammad Maulana Syarifudin, Siswaya Siswaya

Penerapan Metode Random Forets dan Decision Tree Dalam Sistem Pendukung Keputusan Smartphone Gaming di bawah Harga Lima Juta

Introduction

Penerapan metode random forets dan decision tree dalam sistem pendukung keputusan smartphone gaming di bawah harga lima juta. Cari smartphone gaming terbaik di bawah 5 juta? DSS ini pakai Random Forest & Decision Tree untuk rekomendasi akurat berdasarkan spesifikasi. Temukan pilihan idealmu!

Abstract

The rapid advancement of gaming smartphone technology within an affordable price range (under five million rupiah) often makes it difficult for users to select a device that suits their specific needs and budget. This study aims to develop a Decision Support System (DSS) for classifying and recommending gaming smartphones based on criteria such as chipset, RAM, ROM, battery capacity, screen size, and price. The methodology employed is Knowledge Discovery in Databases (KDD), encompassing selection, cleaning, transformation, data mining, and evaluation. The classification process compares the performance of the Decision Tree and Random Forest algorithms. Testing results indicate that the Random Forest algorithm achieves an accuracy of 100%, outperforming the alternative. The system proves effective and accurate in providing optimal gaming smartphone recommendations. The study's primary contribution is the development of a hardware performance classification model integrated into an interactive web ecosystem, offering consumers a practical solution to translate technical specifications into specific device recommendations

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