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ANALISIS SENTIMEN PENGGUNAAN BUS DAMRI DI KOTA PALEMBANG MENGGUNAKAN METODE K-NEAREST NEIGHBORS

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Penilaian

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Sentiment analysis or opinion mining is an analysis that aims to see the sentiment of the community or group regarding certain entities Currently the dissemination of information is very easy, by using a social media, users can share information with the general public. As an example of information or opinions regarding the performance of Damri itself in providing public transportation services to improve the quality and competitiveness of the transfortation business competition and the fluctuations in the decline in the number of passengers which is a topic to be used by the public in providing opinions. Many assumptions of responses are expressed by the community through social media such as Twitter, such as positive responses or negative responses, such as regarding the services and facilities provided by damri in serving the community. In addition to pulling data through crawling data on tweet data, researchers also disseminated questionnaires. In carrying out the sentiment analysis classification process, it can be done using methods such as, then the researcher wants to conduct research on community sentiment analysis on the Damri Bus using the K-nearest Neighbors method. The results of this study are testing and training data on 1768 data records producing the highest accuracy with a value of K = 5 which has an accuracy of 88.12%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003705	T79146	T791462022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T791462022

Publisher

Inderalaya : Prodi Sistem Informasi, Fakultas Ilmu Komputer Uniersitas Srwijaya., 2022

Collation

xvi, 68 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.07

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)

Sistem analisis
Prodi Sistem Informasi

Specific Detail Info

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Statement of Responsibility

SEPTA

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