Skripsi

ANALISIS SENTIMEN TERHADAP PENGGUNA QRIS (QUICK RESPOND CODE INDONESIAN STANDARD) PADA TWITTER MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER

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Penilaian

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Twitter is currently one of the social media that is widely used by the public. By utilizing Twitter, people can now easily express opinions on various matters, including the Quick Respond Code Indonesian Standard (QRIS). Based on this, an analysis of public sentiment towards QRIS was carried out on social media Twitter using the Naïve Bayes Classifier algorithm. With the aim of finding out whether public sentiment towards QRIS is positive or negative and looking for the level of accuracy of implementing the Naïve Bayes Classifier algorithm. As many as 913 data obtained on Twitter show that public sentiment towards QRIS is 65% positive and 35% negative. Based on the test results on the system, the Naïve Bayes algorithm shows an accuracy of 99.89%, an average precision of 99.83%, and an average recall of 99.68%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
	T99851	T1259002023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1259002023

Publisher

Indralaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Uniersitas Srwijaya., 2023

Collation

x, 32 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.754 07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Sistem Informasi, Fakultas Ilmu Komputer
Online Social Network

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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