Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing

Public transportation is one of the things that is often used by everyone. One type of public transportation that is often used in Indonesia is the Bus Rapid Transit (BRT) or commonly known as the busway. The city of Padang, West Sumatra has a BRT to serve the community called the Trans Padang Bus....

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Autores principales:	Muhammad Raid Naufal, Rahmi Eka Putri
Formato:	article
Lenguaje:	EN ID
Publicado:	Universitas Andalas 2020
Materias:	Machine Learning Flap Barrier Image Processing Classification Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895
Acceso en línea:	https://doaj.org/article/cf3a5141b8e24ac89af0646c8ce3ba5a
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id	oai:doaj.org-article:cf3a5141b8e24ac89af0646c8ce3ba5a
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spelling	oai:doaj.org-article:cf3a5141b8e24ac89af0646c8ce3ba5a2021-11-22T08:47:44ZSistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing10.25077/chipset.1.02.79-90.20202722-4422https://doaj.org/article/cf3a5141b8e24ac89af0646c8ce3ba5a2020-10-01T00:00:00Zhttp://chipset.fti.unand.ac.id/index.php/chipset/article/view/30https://doaj.org/toc/2722-4422 Public transportation is one of the things that is often used by everyone. One type of public transportation that is often used in Indonesia is the Bus Rapid Transit (BRT) or commonly known as the busway. The city of Padang, West Sumatra has a BRT to serve the community called the Trans Padang Bus. However, in this bus service there are still several shortcomings that make the bus service ineffective. The gate system which is still manual on this bus makes service slow and inefficient. By using a flap barrier gate that has an image processing system for suit passengers, the service on this bus will be more effective. Utilizing the Raspberry Pi and You Only Look Once (YOLO), this system can be made as efficient as possible for the place and use. Passengers who will enter will be immediately detected by the PIR sensor and the system will start with a camera that will take pictures of passenger clothes. The image will be processed using YOLO and the results of the process in the form of passenger categories and prices will be displayed on the LCD. The author uses YOLO and the Fast R-CNN algorithm to determine passenger categories. With this method, the test results show an average success percentage of 98.3%. Muhammad Raid NaufalRahmi Eka PutriUniversitas AndalasarticleMachine LearningFlap BarrierImage ProcessingClassificationComputer softwareQA76.75-76.765Computer engineering. Computer hardwareTK7885-7895ENIDCHIPSET, Vol 1, Iss 02 (2020)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	Machine Learning Flap Barrier Image Processing Classification Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895
spellingShingle	Machine Learning Flap Barrier Image Processing Classification Computer software QA76.75-76.765 Computer engineering. Computer hardware TK7885-7895 Muhammad Raid Naufal Rahmi Eka Putri Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing
description	Public transportation is one of the things that is often used by everyone. One type of public transportation that is often used in Indonesia is the Bus Rapid Transit (BRT) or commonly known as the busway. The city of Padang, West Sumatra has a BRT to serve the community called the Trans Padang Bus. However, in this bus service there are still several shortcomings that make the bus service ineffective. The gate system which is still manual on this bus makes service slow and inefficient. By using a flap barrier gate that has an image processing system for suit passengers, the service on this bus will be more effective. Utilizing the Raspberry Pi and You Only Look Once (YOLO), this system can be made as efficient as possible for the place and use. Passengers who will enter will be immediately detected by the PIR sensor and the system will start with a camera that will take pictures of passenger clothes. The image will be processed using YOLO and the results of the process in the form of passenger categories and prices will be displayed on the LCD. The author uses YOLO and the Fast R-CNN algorithm to determine passenger categories. With this method, the test results show an average success percentage of 98.3%.
format	article
author	Muhammad Raid Naufal Rahmi Eka Putri
author_facet	Muhammad Raid Naufal Rahmi Eka Putri
author_sort	Muhammad Raid Naufal
title	Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing
title_short	Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing
title_full	Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing
title_fullStr	Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing
title_full_unstemmed	Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing
title_sort	sistem klasifikasi penumpang bus trans padang berdasarkan pakaian menggunakan metode image processing
publisher	Universitas Andalas
publishDate	2020
url	https://doaj.org/article/cf3a5141b8e24ac89af0646c8ce3ba5a
work_keys_str_mv	AT muhammadraidnaufal sistemklasifikasipenumpangbustranspadangberdasarkanpakaianmenggunakanmetodeimageprocessing AT rahmiekaputri sistemklasifikasipenumpangbustranspadangberdasarkanpakaianmenggunakanmetodeimageprocessing
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Sistem Klasifikasi Penumpang Bus Trans Padang Berdasarkan Pakaian Menggunakan Metode Image Processing

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