Analisis Informasi Kendaraan Bermotor di Jakarta untuk Memprediksi Hasil Kelulusan Uji Emisi Menggunakan Algoritma Decision Tree

DANNY, MUHAMMAD (2024) Analisis Informasi Kendaraan Bermotor di Jakarta untuk Memprediksi Hasil Kelulusan Uji Emisi Menggunakan Algoritma Decision Tree. S1 thesis, Universitas Mercu Buana-Menteng.

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Abstract

Penelitian ini bertujuan untuk melakukan analisis terhadap data hasil uji emisi kendaraan bermotor di Jakarta menggunakan algoritma Decision Tree. Data tersebut merupakan hasil uji emisi kendaraan bermotor di Jakarta yang dilaksanakan oleh Bengkel Pelaksana Uji Emisi dan dikumpulkan sebanyak 13450 data. Faktor yang digunakan dari data hasil uji emisi meliputi merek, bahan bakar, tipe, tahun pembuatan dan alat uji. Algoritma Decision Tree digunakan untuk mengklasifikasi faktor-faktor itu untuk memprediksi hasil dari uji emisi. Dari hasil analisis, algoritma Decision Tree memperoleh akurasi sebesar 96% yang menunjukkan algoritma ini mampu memprediksi dan mengklasifikasi dengan tepat. This research aims to analyze data from motor vehicle emission test results in Jakarta using the Decision Tree algorithm. This data is the result of motor vehicle emissions tests in Jakarta carried out by the Emission Test Implementation Workshop and 13,450 data were collected. Factors used from emission test results data include brand, fuel, type, year of manufacture and test equipment. The Decision Tree algorithm is used to classify these factors to predict the results of the emission test. From the analysis results, the Decision Tree algorithm obtained an accuracy of 96%, which shows that this algorithm is able to predict and classify correctly.

Item Type: Thesis (S1)
NIM/NIDN Creators: 41519110034
Uncontrolled Keywords: Uji Emisi, Decision Tree, Kendaraan Bermotor, Klasifikasi Emission Testing, Decision Tree, Motor Vehicles, Classification
Subjects: 000 Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 000. Computer Science, Information and General Works/Ilmu Komputer, Informasi, dan Karya Umum > 004 Data Processing, Computer Science/Pemrosesan Data, Ilmu Komputer, Teknik Informatika
Divisions: Fakultas Ilmu Komputer > Informatika
Depositing User: NAYLA AURA RAYANI
Date Deposited: 05 Aug 2024 02:50
Last Modified: 05 Aug 2024 02:50
URI: http://repository.mercubuana.ac.id/id/eprint/90021

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