KOMPARASI ALGORITMA REGRESI LINIER BERGANDA DAN DECISION TREE REGRESSOR UNTUK MEMPREDIKSI HARGA MOBIL BEKAS

BAKTI, WISNU NUGROHO SETYA (2022) KOMPARASI ALGORITMA REGRESI LINIER BERGANDA DAN DECISION TREE REGRESSOR UNTUK MEMPREDIKSI HARGA MOBIL BEKAS. S1 thesis, Universitas Mercu Buana Jakarta.

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Abstract

The COVID-19 pandemic has had a huge impact on a person's life. In this COVID-19 pandemic situation, not a few people have experienced a decrease in income, there are even some people who have had to lose their jobs and there are even some companies that have to go out of business. Because of this, many people need additional funds to meet their daily needs. Some of them are forced to sell their assets to meet these needs, one of the assets they sell is a car. They were forced to cut the price of the cars sold from the market price in order to get additional funds quickly. This also causes the market price of used cars to dip sharply, but the abolition of the luxury tax policy will not affect the price of used cars, the government's policy regarding the luxury tax only applies to items that are classified as expensive. Therefore, the author will create a model to predict the price of a used car, which is expected to be a model that the author makes can restore the market price of this car and also the author hopes that the model that the author makes will be a reference to the public in determining prices for used cars. This study uses Multiple Linear Regression and Decision Tree Regressor methods as a comparison to predict the price of used cars. The average accuracy obtained in the Multiple Linear Regression algorithm is 73.9% while the average for the Decision Tree Regressor algorithm is 93.3%. Key words: Regression, Multiple Linear Regression, Decision Tree Regressor, Car Used Disituasi pandemic covid-19 ini tidak sedikit masyarkat yang mengalami penurunan pendapatan bahkan ada beberapa masyarakat yang terpaksa harus kehilangan pekerjaannya dan bahkan pula ada beberapa perusahaan yang harus gulung tikar. Karena hal itu, banyak sekali masyarakat yang membutuhkan dana tambahan untuk memenuhi kebutuhan sehari-harinya. Beberapa diantara meraka terpaksa menjual asetaset mereka untuk memenuhi kebutuhan tersebut, salah satu aset yang mereka jual adalah mobil. Mereka terpaksa memangkas harga mobil yang dijual dari harga pasar untuk mendapatkan dana tambahan dengan cepat. Hal ini pun menyebabkan harga pasaran mobil bekas menukik tajam, namun penghapusan kebijakan pajak barang mewah tidak akan mempengaruhi harga mobil bekas, kebijakan pemerintah terkait pajak barang mewah hanya berlaku kepada barang yang tergolong mahal. Oleh karena itu penulis akan membuat model untuk memprediksi harga mobil bekas yang diharapkan model yang penulis buat dapat memulihkan harga pasaran kendaraan beroda empat ini dan juga penulis berharap model yang penulis buat ini akan menjadi acuan kepada masyarakat dalam menentukan harga pada mobil bekas. Penelitian ini menggunakan metode Regresi Linier Berganda dan Decision Tree Regressor sebagai pembandingnya unutk memprediksi harga mobil bekas. Rata-rata akurasi yang didapat pada algoritma Regresi Linier Berganda adalah 73.9% sedangkan rata-rata pada algoritma Decision Tree Regressor adalah 93.3%. Kata kunci: Regresi, Regresi Linier Berganda, Decision Tree Regressor, Mobil Bekas

Item Type: Thesis (S1)
Call Number CD: FIK/INFO. 22 137
NIM/NIDN Creators: 41518010114
Uncontrolled Keywords: Regresi, Regresi Linier Berganda, Decision Tree Regressor, Mobil Bekas
Subjects: 100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 153 Conscious Mental Process and Intelligence/Intelegensia, Kecerdasan Proses Intelektual dan Mental > 153.8 Will, Volition/Kemauan > 153.83 Choice and Decision/Pilihan dan Keputusan
100 Philosophy and Psychology/Filsafat dan Psikologi > 150 Psychology/Psikologi > 154 Subconscious and Altered States and Process/Psikologi Bawah Sadar > 154.6 Sleep Phenomena/Fenomena Tidur > 154.63 Dreams/Mimpi > 154.634 Analysis/Analisis
300 Social Science/Ilmu-ilmu Sosial > 320 Political dan Government Science/Ilmu Politik dan Ilmu Pemerintahan > 322 Relation of The State of Organized Groups/Hubungan Negara dengan Kelompok Sosial yang Terorganisir > 322.3 Business and Industry/Bisnis dan Industri
500 Natural Science and Mathematics/Ilmu-ilmu Alam dan Matematika > 510 Mathematics/Matematika > 518 Numerical Analysis/Analisis Numerik, Analisa Numerik > 518.1 Algorithms/Algoritma
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: ADELINA HASNA SETIAWATI
Date Deposited: 22 Oct 2022 07:19
Last Modified: 22 Oct 2022 07:19
URI: http://repository.mercubuana.ac.id/id/eprint/70776

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