Linear Regression Optimization using Gradient Descent Algorithm to Predict Smartphone Feasibility
Optimasi Linear Regression menggunakan Algoritma Gradient Descent untuk Memprediksi Kelayakan Smartphone
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(1) * Ilham Yusuf Balanda
Prodi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Amikom Yogyakarta
Indonesia
(2) Fajrin Triwanto Prodi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Amikom Yogyakarta
Indonesia
(3) Eva Suhailah Prodi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Amikom Yogyakarta
Indonesia
(4) Hermawan Enggy Cahyanto Prodi Teknik Informatika, Fakultas Ilmu Komputer, Universitas Amikom Yogyakarta
Indonesia
(*) Corresponding Author
Abstract
With the development of technology today, even in the future, smartphone sales are increasingly growing and more and more competitive in the world of technology, where there are more and more interesting features with specifications that exist in smartphones such as Ram, Rom, Storage and Processor which can affect the benchmark score, the higher the benchmark, the better the smartphone. So that consumers are faced with difficulties in choosing the smartphone they want. For this reason, we currently aim to build a system that will find out a prediction of the feasibility of a smartphone by applying the Linear Regression method with a gradient descent algorithm which will help provide solutions to consumers regarding the performance and smartphone benchmark expectations they need.
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Copyright (c) 2020 Ilham Yusuf Balanda, Ilham Fajrin Triwanto, Eva Suhailah, Hermawan Enggy Cahyanto
This work is licensed under a Creative Commons Attribution 4.0 International License.
