relation: https://eprints.untirta.ac.id/45495/
title: ANALISIS PERFORMA MACHINE LEARNING BERBASIS  CONVOLUTIONAL NEURAL NETWORK PADA APLIKASI   ECOTRACK
creator: SOFYAN ABIYYU, MUHAMMAD
subject: TK Electrical engineering. Electronics Nuclear engineering
subject: TL Motor vehicles. Aeronautics. Astronautics
subject: TR Photography
description: Classification of motor vehicles and prediction of CO2 gas emissions are two   important issues in efforts to mitigate the environmental impact of the   transportation sector. This study aims to develop a machine learning-based model   utilizing Convolutional Neural Network (CNN), Artificial Neural Network (ANN),   and transfer learning architectures to classify vehicles and predict the CO2 gas   emissions they produce. The proposed CNN and transfer learning models were   trained using vehicle image data to classify vehicle types based on categories such   as size, type, and model. The results of vehicle classification showed high accuracy   rates of 85.14% and 68.02% in the developed transfer learning models. However,   the CNN model demonstrated lower accuracy, achieving only 43%, which was   attributed to the suboptimal performance of the machine learning algorithm.   Furthermore, the model was also trained with vehicle emission data to predict CO2  emissions based on vehicle parameters such as engine capacity, number of   cylinders, combined fuel consumption, and the estimated amount of CO2 gas   emissions produced by motor vehicles.The findings indicate that the CNN and   transfer learning models are effective for vehicle classification, while the ANN   model provides accurate estimates for CO2 emission predictions.
date: 2024-01-16
type: Thesis
type: NonPeerReviewed
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identifier: https://eprints.untirta.ac.id/45495/1/Muhammad%20Sofyan%20Abiyyu_3332200060_Fulltext.pdf
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identifier: https://eprints.untirta.ac.id/45495/2/Muhammad%20Sofyan%20Abiyyu_3332200060_01.pdf
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identifier: https://eprints.untirta.ac.id/45495/4/Muhammad%20Sofyan%20Abiyyu_3332200060_02.pdf
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identifier: https://eprints.untirta.ac.id/45495/3/Muhammad%20Sofyan%20Abiyyu_3332200060_03.pdf
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identifier: https://eprints.untirta.ac.id/45495/5/Muhammad%20Sofyan%20Abiyyu_3332200060_04.pdf
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identifier: https://eprints.untirta.ac.id/45495/6/Muhammad%20Sofyan%20Abiyyu_3332200060_05.pdf
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identifier: https://eprints.untirta.ac.id/45495/7/Muhammad%20Sofyan%20Abiyyu_33332200060_Ref.pdf
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identifier: https://eprints.untirta.ac.id/45495/8/Muhammad%20Sofyan%20Abiyyu_3332200060_Lamp.pdf
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identifier: https://eprints.untirta.ac.id/45495/9/Muhammad%20Sofyan%20Abiyyu_3332200060_CP.pdf
identifier:   SOFYAN ABIYYU, MUHAMMAD  (2024) ANALISIS PERFORMA MACHINE LEARNING BERBASIS CONVOLUTIONAL NEURAL NETWORK PADA APLIKASI ECOTRACK.  S1 thesis, Fakultas Teknik Universitas Sultan Ageng Tirtayasa.