Analisis Sentimen Sistem Ganjil Genap Kota Bogor

To reduce the crowds during the COVID-19 pandemic, the Bogor City Government implemented an odd-even system for all vehicles in the city of Bogor at the end of the operation. Since the implementation of this policy, many opinions have been conveyed through social media. An analysis is needed to find...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hilda Rachmi, Suparni Suparni, Ahmad Al Kaafi
Formato:	article
Lenguaje:	EN ID
Publicado:	P3M Politeknik Negeri Banjarmasin 2021
Materias:	analisis sentimen klasifikasi sistem ganjil genap Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/16309106d32c49d59799bb48831e53f7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:16309106d32c49d59799bb48831e53f7
record_format	dspace
spelling	oai:doaj.org-article:16309106d32c49d59799bb48831e53f72021-12-02T17:25:02ZAnalisis Sentimen Sistem Ganjil Genap Kota Bogor2598-32452598-328810.31961/eltikom.v5i2.429https://doaj.org/article/16309106d32c49d59799bb48831e53f72021-09-01T00:00:00Zhttps://eltikom.poliban.ac.id/index.php/eltikom/article/view/429https://doaj.org/toc/2598-3245https://doaj.org/toc/2598-3288To reduce the crowds during the COVID-19 pandemic, the Bogor City Government implemented an odd-even system for all vehicles in the city of Bogor at the end of the operation. Since the implementation of this policy, many opinions have been conveyed through social media. An analysis is needed to find out how effective the policy is based on public opinion. For this reason, an analysis of the sentiment application of the odd-even system for vehicles in the city of Bogor was carried out during the pandemic. The purpose of this study is to determine the accuracy, recall, and precision and calculate the amount of emotion obtained from sentiment analysis by using several algorithms for the application and application of selection features that can provide sentiment information related to the effectiveness of the software system in Bogor City. The research stages started from the selection of data, pre-processing, implementation, validation, and evaluation. Based on this research, it can be found that the Support Vector Machine algorithm with the application of Particle Swarm Optimization shows the results of the greatest assessment on the system sentiment analysis test in the city of Bogor during the pandemic with a value of 73.07%. In total, the sentiment of implementing the odd-even system to declare in Bogor City shows an expression of the joy of 45.45%.Hilda RachmiSuparni SuparniAhmad Al KaafiP3M Politeknik Negeri Banjarmasinarticleanalisis sentimenklasifikasisistem ganjil genapElectrical engineering. Electronics. Nuclear engineeringTK1-9971Information technologyT58.5-58.64ENIDJurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer, Vol 5, Iss 2, Pp 92-99 (2021)
institution	DOAJ
collection	DOAJ
language	EN ID
topic	analisis sentimen klasifikasi sistem ganjil genap Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64
spellingShingle	analisis sentimen klasifikasi sistem ganjil genap Electrical engineering. Electronics. Nuclear engineering TK1-9971 Information technology T58.5-58.64 Hilda Rachmi Suparni Suparni Ahmad Al Kaafi Analisis Sentimen Sistem Ganjil Genap Kota Bogor
description	To reduce the crowds during the COVID-19 pandemic, the Bogor City Government implemented an odd-even system for all vehicles in the city of Bogor at the end of the operation. Since the implementation of this policy, many opinions have been conveyed through social media. An analysis is needed to find out how effective the policy is based on public opinion. For this reason, an analysis of the sentiment application of the odd-even system for vehicles in the city of Bogor was carried out during the pandemic. The purpose of this study is to determine the accuracy, recall, and precision and calculate the amount of emotion obtained from sentiment analysis by using several algorithms for the application and application of selection features that can provide sentiment information related to the effectiveness of the software system in Bogor City. The research stages started from the selection of data, pre-processing, implementation, validation, and evaluation. Based on this research, it can be found that the Support Vector Machine algorithm with the application of Particle Swarm Optimization shows the results of the greatest assessment on the system sentiment analysis test in the city of Bogor during the pandemic with a value of 73.07%. In total, the sentiment of implementing the odd-even system to declare in Bogor City shows an expression of the joy of 45.45%.
format	article
author	Hilda Rachmi Suparni Suparni Ahmad Al Kaafi
author_facet	Hilda Rachmi Suparni Suparni Ahmad Al Kaafi
author_sort	Hilda Rachmi
title	Analisis Sentimen Sistem Ganjil Genap Kota Bogor
title_short	Analisis Sentimen Sistem Ganjil Genap Kota Bogor
title_full	Analisis Sentimen Sistem Ganjil Genap Kota Bogor
title_fullStr	Analisis Sentimen Sistem Ganjil Genap Kota Bogor
title_full_unstemmed	Analisis Sentimen Sistem Ganjil Genap Kota Bogor
title_sort	analisis sentimen sistem ganjil genap kota bogor
publisher	P3M Politeknik Negeri Banjarmasin
publishDate	2021
url	https://doaj.org/article/16309106d32c49d59799bb48831e53f7
work_keys_str_mv	AT hildarachmi analisissentimensistemganjilgenapkotabogor AT suparnisuparni analisissentimensistemganjilgenapkotabogor AT ahmadalkaafi analisissentimensistemganjilgenapkotabogor
_version_	1718380892212166656

Analisis Sentimen Sistem Ganjil Genap Kota Bogor

Ejemplares similares